WorldWideScience

Sample records for stock markets

  1. Stock Market Project.

    Science.gov (United States)

    Distel, Brenda D.

    This project is designed to teach students the process of buying stocks and to tracking their investments over the course of a semester. The goals of the course are to teach students about the relationships between conditions in the economy and the stock market; to predict the effect of an economic event on a specific stock or industry; to relate…

  2. Stock Market Savvy.

    Science.gov (United States)

    Okula, Susan

    2003-01-01

    This issue of Keying In, the newsletter of the National Business Education Association, focuses upon teaching young adults how to develop both investment strategies and an understanding of the stock market. The first article, "Sound Investing Know-How: A Must for Today's Young Adults," describes how young adults can plan for their own…

  3. Perbandingan Stock Market Crash 1987 : Dan Stock Market Crash 1997

    OpenAIRE

    Indridewi Atmadjaja, Yovita Vivianty

    1999-01-01

    Stock market crash refers to the condition, which is marked with the large dropping of stock Market price index. Historically, stock market crash has happened three times, namely in 1929, 1987 and 1997. This paper will discuss the causes of 1987's and 1997's stock market Crash and the similarities and the differences between 1987's and 1997's stock market crash. The structure of the paper is as follows. The paper starts with the introduction. The second Section briefly explains the causes of ...

  4. Distribution characteristics of stock market liquidity

    Science.gov (United States)

    Luo, Jiawen; Chen, Langnan; Liu, Hao

    2013-12-01

    We examine the distribution characteristics of stock market liquidity by employing the generalized additive models for location, scale and shape (GAMLSS) model and three-minute frequency data from Chinese stock markets. We find that the BCPE distribution within the GAMLSS framework fits the distributions of stock market liquidity well with the diagnosis test. We also find that the stock market index exhibits a significant impact on the distributions of stock market liquidity. The stock market liquidity usually exhibits a positive skewness, but a normal distribution at a low level of stock market index and a high-peak and fat-tail shape at a high level of stock market index.

  5. Do Earthquakes Shake Stock Markets?

    Science.gov (United States)

    Ferreira, Susana; Karali, Berna

    2015-01-01

    This paper examines how major earthquakes affected the returns and volatility of aggregate stock market indices in thirty-five financial markets over the last twenty years. Results show that global financial markets are resilient to shocks caused by earthquakes even if these are domestic. Our analysis reveals that, in a few instances, some macroeconomic variables and earthquake characteristics (gross domestic product per capita, trade openness, bilateral trade flows, earthquake magnitude, a tsunami indicator, distance to the epicenter, and number of fatalities) mediate the impact of earthquakes on stock market returns, resulting in a zero net effect. However, the influence of these variables is market-specific, indicating no systematic pattern across global capital markets. Results also demonstrate that stock market volatility is unaffected by earthquakes, except for Japan.

  6. Analysis of Economic Factors Affecting Stock Market

    OpenAIRE

    Xie, Linyin

    2010-01-01

    This dissertation concentrates on analysis of economic factors affecting Chinese stock market through examining relationship between stock market index and economic factors. Six economic variables are examined: industrial production, money supply 1, money supply 2, exchange rate, long-term government bond yield and real estate total value. Stock market comprises fixed interest stocks and equities shares. In this dissertation, stock market is restricted to equity market. The stock price in thi...

  7. ---Stock Market Devpt in Ethiopia

    African Journals Online (AJOL)

    Jetu_E_Ch

    The term stock can be defined as “the capital or principal fund raised by a corporation .... 20 Tiruneh Legesse (2012), “Establishing Financial Markets in Ethiopia: the .... improve accounting and auditing standards, provide effective tools for.

  8. On the Design of Artificial Stock Markets

    NARCIS (Netherlands)

    K. Boer-Sorban (Katalin); A. de Bruin (Arie); U. Kaymak (Uzay)

    2005-01-01

    textabstractArtificial stock markets are designed with the aim to study and understand market dynamics by representing (part of) real stock markets. Since there is a large variety of real stock markets with several partially observable elements and hidden processes, artificial markets differ

  9. Outlook '98 - Stock markets

    International Nuclear Information System (INIS)

    Vankka, D.

    1998-01-01

    In view of the recent drop of some 20 per cent in energy stock prices, and the decline in the value of the Canadian dollar, forecasting oilpatch financing in 1998 is a risky undertaking. Based on a variety of relevant factors, it is expected that there will be a slowdown in oil and gas financing deals in the short term. On the other hand, longer term outlook is bullish, based on the huge capital requirements over the next few years for conventional projects, heavy oil, oilsands and pipelines projects. Corporate mergers and acquisitions will continue at about the same rate as in 1997, as companies attempt to achieve ''economies of scale'' and growth in the most economically sensible manner. Adding production and reserves through corporate transactions at the current lower stock prices will be a powerful incentive. Creative deal structuring will become more prevalent. Corporate reorganizations into separate companies in search of value maximization will increase

  10. Is the stock market efficient?

    Science.gov (United States)

    Malkiel, B G

    1989-03-10

    A stock market is said to be efficient if it accurately reflects all relevant information in determining security prices. Critics have asserted that share prices are far too volatile to be explained by changes in objective economic events-the October 1987 crash being a case in point. Although the evidence is not unambiguous, reports of the death of the efficient market hypothesis appear premature.

  11. Stock-market efficiency in thin-trading markets : the case of the Vietnamese stock market

    NARCIS (Netherlands)

    Truong Dong Loc, [No Value; Lanjouw, Ger; Lensink, Robert

    2010-01-01

    This article reviews developments in the Stock Trading Centre (STC) in Ho Chi Minh City, Vietnam, the main stock market in the country, since its start in 2000. It presents information about developments in the number of stocks traded, trading activity and stock-price developments. This article

  12. Stock Market Efficiency in Thin Trading Markets: The Case of the Vietnamese Stock Market

    NARCIS (Netherlands)

    Dong Loc, T.; Lanjouw, G.; Lensink, B.W.

    2010-01-01

    This article reviews developments in the Stock Trading Centre (STC) in Ho Chi Minh City, Vietnam, the main stock market in the country, since its start in 2000. It presents information about developments in the number of stocks traded, trading activity and stock-price developments. This article

  13. Elements of stock market analysis

    Directory of Open Access Journals (Sweden)

    Suciu, T.

    2013-12-01

    Full Text Available The paper represents a starting point in the presentation of the two types of stock/market analysis: the fundamental analysis and the technical analysis. The fundamental analysis consist in the assessment of the financial and economic status of the company together with the context and macroeconomic environment where it activates. The technical analysis deals with the demand and supply of securities and the evolution of their trend on the market, using a range of graphics and charts to illustrate the market tendencies for the quick identification of the best moments to buy or sell.

  14. Stock market dynamics created by interacting agents

    Directory of Open Access Journals (Sweden)

    Mohamed Riad Remita

    2006-01-01

    Full Text Available We study a stock market model, consisting in a large number of agents, going eventually to infinity, and evaluate the stock price under the influence of opinions of different agents. Next we study the behavior of prices when the market is very nervous; there appear discontinuities (phase transitions which can be interpreted as stock market crashes.

  15. Gold-Stock Market Relationship: Emerging Markets versus Developed Markets

    Directory of Open Access Journals (Sweden)

    Jalal Seifoddini

    2017-09-01

    Full Text Available We perform a comparative study on the gold-stock market relationship in U.S. stock market as a developed market and in Iran stock market as an emerging market. By considering appropriate variables for emerging markets and by providing a more proper methodology, we improve earlier studies. According to our findings, the relationship between stock market returns and gold price returns does not follow any specific regimes and that this relationship changes in short and long term returns. It is necessary to mention that in the present research, we did not consider this relationship in major structural changes in the economies and instead considered usual economic circumstances that investors are regularly faced with in their investment decisions.

  16. The Speculative Nature of Stock Market

    Directory of Open Access Journals (Sweden)

    Bogdan-Gabriel FILIPESCU

    2011-12-01

    Full Text Available This paper focuses on the speculative nature of the stock market in Romania, emphasizing the basic rules and risks associated with stock transactions. On the one hand, the speculative nature may be considered as a mandatory feature of the stock market, for the purposes of supporting a fair and efficient functioning stock system. On the other hand, the term "speculative" can be also interpreted in a negative direction, i.e. in combination with market manipulation or market abuse. Related to this latter interpretation, the study refers to European legislation on market abuse, accepted market practices and those that constitute market manipulation.

  17. Comparable stocks, boundedly rational stock markets and IPO entry rates.

    Directory of Open Access Journals (Sweden)

    Jay Chok

    Full Text Available In this study, we examine how initial public offerings (IPO entry rates are affected when stock markets are boundedly rational and IPO firms infer information from their counterparts in the market. We hypothesize a curvilinear relationship between the number of comparable stocks and initial public offerings (IPO entry rates into the NASDAQ Stock Exchange. Furthermore, we argue that trading volume and changes in stock returns partially mediates the relationship between the number of comparable stocks and IPO entry rates. The statistical evidence provides strong support for the hypotheses.

  18. Stock Market Expectations of Dutch Households.

    Science.gov (United States)

    Hurd, Michael; van Rooij, Maarten; Winter, Joachim

    2011-04-01

    Despite its importance for the analysis of life-cycle behavior and, in particular, retirement planning, stock ownership by private households is poorly understood. Among other approaches to investigate this puzzle, recent research has started to elicit private households' expectations of stock market returns. This paper reports findings from a study that collected data over a two-year period both on households' stock market expectations (subjective probabilities of gains or losses) and on whether they own stocks. We document substantial heterogeneity in financial market expectations. Expectations are correlated with stock ownership. Over the two years of our data, stock market prices increased, and expectations of future stock market price changes also increased, lending support to the view that expectations are influenced by recent stock gains or losses.

  19. Long Memory in the Greek Stock Market

    OpenAIRE

    John T. Barkoulas; Christopher F. Baum; Nickolaos Travlos

    1996-01-01

    We test for stochastic long memory in the Greek stock market, an emerging capital market. The fractional differencing parameter is estimated using the spectral regression method. Contrary to findings for major capital markets, significant and robust evidence of positive long-term persistence is found in the Greek stock market. As compared to benchmark linear models, the estimated fractional models provide improved out-of-sample forecasting accuracy for the Greek stock returns series over long...

  20. Looking Back on the Stock Market

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    @@ Looking back at the ups and downs of China's stock market in 2007,it is clear that it has developed far beyond people's expectation. While the stock index constantly reaches new highs and the size of the market becomes larger and larger, the Chinese financial market has also reintegrated. A multi-level revolution occurred in 2007, involving changes in stock structure, the variety of core composition, chip cost of the capital market, investor makeup, as well as trade rules and operational methods.

  1. Market Structure and Stock Splits

    OpenAIRE

    David Michayluk; Paul Kofman

    2001-01-01

    Enhanced liquidity is one possible motivation for stock splits but empirical research frequently documents declines in liquidity following stock splits. Despite almost thirty years of inquiry, little is known about all the changes in a stock's trading activity following a stock split. We examine how liquidity measures change around more than 2,500 stock splits and find a pervasive decline in most measures. Large stock splits exhibit a more severe liquidity decline than small stock splits, esp...

  2. Students Invest in the Stock Market

    Science.gov (United States)

    Parker, George O.

    1977-01-01

    How one teacher motivated students to learn about the stock market by allowing them to actually invest money. Class discussion covered inexpensive ways to buy stock, choosing securities, and buying and selling stock. Suggestions are offered for adapting this project for use at the secondary level. (TA)

  3. Are Stock and Corporate Bond Markets Integrated?

    NARCIS (Netherlands)

    van Zundert, J.; Driessen, Joost

    2017-01-01

    This study explores the cross-sectional integration of stock and corporate bond markets by comparing a firm’s expected stock return, as implied by corporate bond spreads, to its realized stock return. We compute expected corporate bond returns by correcting credit spreads for expected losses due to

  4. Manufacturing Capital Lingers in the Stock Market

    Institute of Scientific and Technical Information of China (English)

    吴程涛; 段铸; 张景宇; 张曙光

    2008-01-01

    Pressured by a slowdown in exports, cost increases and dwindling returns to manufacturing investments, China’s manufacturing capital has begun to shift to the real-estate and stock markets. As a matter of fact, the stock market had already felt a shock a couple of years ago when top domestic manufacturers like Midea, Gree, TCL and LMZ started to invest their idle capital in the real-estate and stock markets. Investments of manufacturing capital in both the real estate and stock markets have increased fluid capital and pushed up the value of both markets. Booms in both markets have in turn guaranteed investment returns of manufacturing capital, which further increased the stock market valuations of manufacturing capital. Such a cycle has created interest chains between listed manufacturers, the stock market and the real-estate market. Along with the ups and downs of the stock and real-estate markets, manufacturing capital now faces a dilemma: to escape or to persist? Where should it escape? When can the markets be profitable again? Just like the classic Shakespearean question: to be or not to be, that is the question.

  5. Long - Memory Persistence in African Stock Markets

    Directory of Open Access Journals (Sweden)

    Emmanuel Numapau Gyamfi

    2016-05-01

    Full Text Available Emerging stock markets are said to become efficient with time. This study seeks to investigate this assertion by analyzing long - memory persistence in 8 African stock markets covering the period from 28 August 2000 to 28 August 2015. The Hurst exponent is used as our efficiency measure which is evaluated by the Detrended Fluctuation Analysis (DFA. Our findings show strong evidence of long - memory persistence in the markets studied therefore violating the weak - form Efficient Market Hypothesis (EMH.

  6. Fundamental uncertainty and stock market volatility

    NARCIS (Netherlands)

    Arnold, I.J.M.; Vrugt, E.B.

    2008-01-01

    We provide empirical evidence on the link between stock market volatility and macroeconomic uncertainty. We show that US stock market volatility is significantly related to the dispersion in economic forecasts from participants in the Survey of Professional Forecasters over the period 1969 to 1996.

  7. Does Stock Market Performance Influence Retirement Intentions?

    Science.gov (United States)

    Goda, Gopi Shah; Shoven, John B.; Slavov, Sita Nataraj

    2012-01-01

    Media reports predicted that the stock market decline in October 2008 would cause changes in retirement intentions, due to declines in retirement assets. We use panel data from the Health and Retirement Study to investigate the relationship between stock market performance and retirement intentions during 1998-2008, a period that includes the…

  8. Stock market volatility and macroeconomic uncertainty

    NARCIS (Netherlands)

    Arnold, I.J.M.; Vrugt, E.B.

    2006-01-01

    This paper provides empirical evidence on the link between stock market volatility and macroeconomic uncertainty. We show that US stock market volatility is significantly related to the dispersion in economic forecasts from SPF survey participants over the period from 1969 to 1996. This link is much

  9. Jump Detection in the Danish Stock Market

    DEFF Research Database (Denmark)

    Høg, Esben

    2002-01-01

    It is well known in financial economics that stock market return data are often modelled by a diffusion process with some regular drift function. Occasionally, however, sudden changes or jumps occur in the return data. Wavelet scaling methods are used to detect jumps and cusps in stock market...

  10. Recurrence quantification analysis of global stock markets

    Science.gov (United States)

    Bastos, João A.; Caiado, Jorge

    2011-04-01

    This study investigates the presence of deterministic dependencies in international stock markets using recurrence plots and recurrence quantification analysis (RQA). The results are based on a large set of free float-adjusted market capitalization stock indices, covering a period of 15 years. The statistical tests suggest that the dynamics of stock prices in emerging markets is characterized by higher values of RQA measures when compared to their developed counterparts. The behavior of stock markets during critical financial events, such as the burst of the technology bubble, the Asian currency crisis, and the recent subprime mortgage crisis, is analyzed by performing RQA in sliding windows. It is shown that during these events stock markets exhibit a distinctive behavior that is characterized by temporary decreases in the fraction of recurrence points contained in diagonal and vertical structures.

  11. Stock Market Manipulation on the Hong Kong Stock Exchange

    Directory of Open Access Journals (Sweden)

    Dionigi Gerace

    2014-10-01

    Full Text Available This study is the first to empirically examine stock market manipulation on the Hong Kong Stock Exchange. The dataset contains 40 cases of market manipulation from 1996 to 2009 that were successfully prosecuted by the Hong Kong Securities & Futures Commission. Manipulation is found to negatively impact market efficiency measures such as the bid-ask spread and volatility. Markets appear incapable of efficiently responding to the presence of manipulators and are characterised by information asymmetry. Manipulators were successfully able to raise prices and exit the market. This finding contradicts views that trade-based manipulation is entirely unprofitable and self-deterring. The victimisation of information-seeking investors and the market as a whole provides a strong rationale for all jurisdictions, including Australia, to have effective laws that prohibit manipulation and for robust enforcement of those laws to further deter market manipulation.

  12. UNDERGROUND ECONOMY, GDP AND STOCK MARKET

    Directory of Open Access Journals (Sweden)

    Caus Vasile Aurel

    2012-07-01

    Full Text Available Economic growth is affected by the size and dynamics of underground economy. Determining this size is a subject of research for many authors. In this paper we present the relationship between underground economy dynamics and the dynamics of stock markets. The observations are based on regression used by Tanzi (1983 and the relationship between GDP and stock market presented in Tudor (2008. The conclusion of this paper is that the dynamics of underground economy is influenced by dynamic of financial markets. Thus, using specific stock market mathematical tools analysis, one can analyze the dynamic of underground economy

  13. Asymmetric conditional volatility in international stock markets

    Science.gov (United States)

    Ferreira, Nuno B.; Menezes, Rui; Mendes, Diana A.

    2007-08-01

    Recent studies show that a negative shock in stock prices will generate more volatility than a positive shock of similar magnitude. The aim of this paper is to appraise the hypothesis under which the conditional mean and the conditional variance of stock returns are asymmetric functions of past information. We compare the results for the Portuguese Stock Market Index PSI 20 with six other Stock Market Indices, namely the SP 500, FTSE 100, DAX 30, CAC 40, ASE 20, and IBEX 35. In order to assess asymmetric volatility we use autoregressive conditional heteroskedasticity specifications known as TARCH and EGARCH. We also test for asymmetry after controlling for the effect of macroeconomic factors on stock market returns using TAR and M-TAR specifications within a VAR framework. Our results show that the conditional variance is an asymmetric function of past innovations raising proportionately more during market declines, a phenomenon known as the leverage effect. However, when we control for the effect of changes in macroeconomic variables, we find no significant evidence of asymmetric behaviour of the stock market returns. There are some signs that the Portuguese Stock Market tends to show somewhat less market efficiency than other markets since the effect of the shocks appear to take a longer time to dissipate.

  14. Spillovers among regional and international stock markets

    Science.gov (United States)

    Huen, Tan Bee; Arsad, Zainudin; Chun, Ooi Po

    2014-07-01

    Realizing the greater risk by the increase in the level of financial market integration, this study investigates the dynamic of international and regional stock markets co-movement among Asian countries with the world leading market, the US. The data utilized in this study comprises of weekly closing prices for four stock indices, that consists of two developing markets (Malaysia and China) and two developed markets (Japan and the US), and encompasses the period from January 1996 to December 2012. Multivariate Generalized Autoregressive Conditional Heteroscedasticity (MGARCH) model with the BEKK parameterization is employed to investigate the mean and volatility spillover effects among the selected stock indices. The results show significant mean spillover not only from the larger developed markets to smaller developing markets but also from the smaller developing markets to larger developed markets. Volatility spillover between the developed markets is found to be smaller than that between the developing markets. Conditional correlations among the stock markets are found to increase over the sample period. The findings of significant mean and volatility spillovers are considered as bad news for international investors as it reduces the benefit from portfolio diversification but act as useful information for investors to be more aware in diversifying their investment or stock selection.

  15. Stock Market Liquidity: Comparative Analysis of Croatian and Regional Markets

    Directory of Open Access Journals (Sweden)

    Vladimir Benić

    2008-12-01

    Full Text Available On the Croatian stock market liquidity has never been in the focus of academic research thus we find it necessary to observe liquidity at the aggregate level. This paper observes multi-dimensional liquidity through the impact of turnover on price change together with several one-dimensional measures. In our empirical research we applythe illiquidity measureto seven different stock markets. We focus on the Croatian stock market as compared to other markets in the Central and Eastern Europe and German market. The results of the research indicate a substantial level of illiquidity in the Croatian and other developing markets.

  16. Global stock market in 1990-s

    Directory of Open Access Journals (Sweden)

    Moshenskyi S.Z.

    2017-08-01

    Full Text Available The 1990s became a period of long-term recovery, the main driving force of which was the high-tech companies of the so-called «new economy», mainly associated with information technology and Internet at the global stock market. Such innovations have led to unrealistic expectations of the profitability of new companies from the sale of goods and services on the Internet. This became a prerequisite for a speculative boom in equity markets in developed financial systems. The boom intensified the mass privatization of state-owned enterprises in UK, Germany, France and some other countries. The capitalization of the global stock market increased more than ten times although the world GDP grew only 2.5 times during two decades, from 1980 to 2000. Though the stock market is the source of capital only in the countries with the Anglo-American model of financial markets (for countries of continental Europe and Japan such sources are bank loans, stock markets increased in all countries with developed financial systems. The systematic analysis of such key indicators as market capitalization and liquidity is required for an objective assessment of such rise in stock markets. But statistical information at stock markets is often not systematized and fragmentary. Therefore, the author (based on the official statistics of such international financial organizations as the Organization for Economic Co-operation and Development and the World Federation of Exchanges has calculated and systematically analyzed capitalization and liquidity as the main indicators of the stock market for the largest countries with developed financial systems (USA, Great Britain, Germany, France, Japan. The paper displays the differences in the mechanisms of attraction of capital determined by the different models of financial markets (decentralized Anglo-American and centralized European as well as the features of the composition of the main investors in the world stock markets.

  17. A Tale of Two Stock Markets

    Science.gov (United States)

    Armstrong, Michelle Hine; Piercey, Victor I.; Greene-Hunley, Stephanie

    2015-01-01

    This article describes two different projects using the stock market as a context for learning. For both projects, students "bought" shares in individual companies, tracked stock prices for a period of time, and then "sold" their shares at a gain or loss. The projects are adaptable for students in late elementary school through…

  18. Recent market behavior of utility stocks

    International Nuclear Information System (INIS)

    Studness, C.M.

    1990-01-01

    This article reviews the recent market behavior of utility stocks as compared to the Standard and Poor's 500 and the long-term government bond yield. Utility stock's performance continues to be affected by unfavorable regulation,and it appears that it will continue to be a factor for some time to come. A continually shrinking excess capacity continues to be a concern

  19. The volatility of stock market prices.

    Science.gov (United States)

    Shiller, R J

    1987-01-02

    If the volatility of stock market prices is to be understood in terms of the efficient markets hypothesis, then there should be evidence that true investment value changes through time sufficiently to justify the price changes. Three indicators of change in true investment value of the aggregate stock market in the United States from 1871 to 1986 are considered: changes in dividends, in real interest rates, and in a direct measure of intertemporal marginal rates of substitution. Although there are some ambiguities in interpreting the evidence, dividend changes appear to contribute very little toward justifying the observed historical volatility of stock prices. The other indicators contribute some, but still most of the volatility of stock market prices appears unexplained.

  20. Multifractal structures for the Russian stock market

    Science.gov (United States)

    Ikeda, Taro

    2018-02-01

    In this paper, we apply the multifractal detrended fluctuation analysis (MFDFA) to the Russian stock price returns. To the best of our knowledge, this paper is the first to reveal the multifractal structures for the Russian stock market by financial crises. The contributions of the paper are twofold. (i) Finding the multifractal structures for the Russian stock market. The generalized Hurst exponents estimated become highly-nonlinear to the order of the fluctuation functions. (ii) Computing the multifractality degree according to Zunino et al. (2008). We find that the multifractality degree of the Russian stock market can be categorized within emerging markets, however, the Russian 1998 crisis and the global financial crisis dampen the degree when we consider the order of the polynomial trends in the MFDFA.

  1. Dynamic Stock Market Participation of Households

    DEFF Research Database (Denmark)

    Khorunzhina, Natalia

    This paper develops and estimates a dynamic model of stock market participation, where consumers’ decisions regarding stock market participation are influenced by participation costs. The practical significance of the participation costs is considered as being a channel through which financial...... education programs can affect consumers’ investment decisions. Using household data from the Panel Study of Income Dynamics, I estimate the magnitude of the participation cost, allowing for individual heterogeneity in it. The results show the average stock market articipation cost is about 5% of labor...... income; however, it varies substantially over consumers’ life. The model successfully predicts the level of the observed articipation rate and the increasing pattern of stock market participation over the consumers’ life cycle....

  2. Privatization, political risk and stock market development

    NARCIS (Netherlands)

    Perotti, E.C.; van Oijen, P.H.

    1999-01-01

    This paper investigates whether privatization in emerging economies has a significant indirect effect on local stock market development through the resolution of political risk. We argue that a sustained privatization program represents a major political test which gradually resolves uncertainty

  3. Analysing News for Stock Market Prediction

    Science.gov (United States)

    Ramalingam, V. V.; Pandian, A.; Dwivedi, shivam; Bhatt, Jigar P.

    2018-04-01

    Stock market means the aggregation of all sellers and buyers of stocks representing their ownership claims on the business. To be completely absolute about the investment on these stocks, proper knowledge about them as well as their pricing, for both present and future is very essential. Large amount of data is collected and parsed to obtain this essential information regarding the fluctuations in the stock market. This data can be any news or public opinions in general. Recently, many methods have been used, especially big unstructured data methods to predict the stock market values. We introduce another method of focusing on deriving the best statistical learning model for predicting the future values. The data set used is very large unstructured data collected from an online social platform, commonly known as Quindl. The data from this platform is then linked to a csv fie and cleaned to obtain the essential information for stock market prediction. The method consists of carrying out the NLP (Natural Language Processing) of the data and then making it easier for the system to understand, finds and identifies the correlation in between this data and the stock market fluctuations. The model is implemented using Python Programming Language throughout the entire project to obtain flexibility and convenience of the system.

  4. Stock Markets Indices in Artificial Insymmetrization Patterns

    International Nuclear Information System (INIS)

    Makowiec, D.

    2002-01-01

    The daily data of indices of Warsaw Stock Exchange - WIG, and New York Stock Exchange - NASDAQ, NYSE and S and P 500 for the last two years are being studied. Properties of fluctuations of daily returns found from scaling analysis of tails are confronted with patterns obtained by the artificial insymmetrization method to specify difference between the world-wide American market and local and rather marginal Polish market. (author)

  5. Econometric Studies of Stock Market Behaviour

    DEFF Research Database (Denmark)

    Rasmussen, Anne-Sofie Reng

    This thesis consists of three sefcontained essays, all centering around the topic of stock market behaviour. The papers focus on the empirical performance of a number of asset pricing models, all attempting to quantify and price asset risk. We look at how well these models actually do in describing...... the historic behaviour of the stock market, allowing us to get further insight into what drives the markes....

  6. Mutual Fund Competition and Stock Market Liquidity

    OpenAIRE

    Massa, Massimo

    2004-01-01

    We study how competition in the mutual fund industry affects stock market liquidity. We argue that mutual fund families operate as multi-product firms, jointly choosing fees, performance and number of funds and sharing common research facilities. The family-based organization generates economies of scale in information that induce a trade off between performance and number of funds. The presence of more and relatively less-informed funds impacts the market, increasing stock liquidity. This in...

  7. Is there stock market efficiency in Malaysia?

    OpenAIRE

    Sui Suyin, Crystal

    2007-01-01

    This study is tests the Malaysian stock exchange, the Kuala Lumpur Stock Exchange (KLSE) for any evidences of efficiency. The approach to carrying out the tests is discussed in careful detail whilst still considering the other aspects of the study. The Efficient Market Hypothesis is explained in detailed as well a discussion on the vast debate concerning the EMH, which includes literature that support and do not support the concept of an efficient market. This debate is situated vitally aroun...

  8. The Stock Market Game: A Simulation of Stock Market Trading. Grades 5-8.

    Science.gov (United States)

    Draze, Dianne

    This guide to a unit on a simulation game about the stock market contains an instructional text and two separate simulations. Through directed lessons and reproducible worksheets, the unit teaches students about business ownership, stock exchanges, benchmarks, commissions, why prices change, the logistics of buying and selling stocks, and how to…

  9. The Stock Market: Risk vs. Uncertainty.

    Science.gov (United States)

    Griffitts, Dawn

    2002-01-01

    This economics education publication focuses on the U.S. stock market and the risk and uncertainty that an individual faces when investing in the market. The material explains that risk and uncertainty relate to the same underlying concept randomness. It defines and discusses both concepts and notes that although risk is quantifiable, uncertainty…

  10. TRADING RULES ON A SMALL STOCK MARKET

    Directory of Open Access Journals (Sweden)

    Stefán B. Gunnlaugsson

    2018-03-01

    Full Text Available In this article, the results of an extensive study of the weak form efficiency of the Iceland stock market are presented. This study almost covers the market’s entire history, with the research starting at the beginning of 1993 and ending in July 2017. Four trading rules based on 70-day moving averages were constructed and compared with the passive investment strategy of buying the market index. All of these trading rules provided significantly better returns than the passive strategy, even when considering trading costs. This result indicates that the Icelandic stock market did not show weak form efficiency, and past returns predicted future returns during the period examined.

  11. Flight to Safety from European Stock Markets

    DEFF Research Database (Denmark)

    Aslanidis, Nektarios; Christiansen, Charlotte

    -return trade-off is positive and during flight-to-safety episodes it is negative. The effects of flight-to-safety episodes on the risk-return trade-off are qualitatively similar for own country flight-to-safety episodes, for flight from own country stock market to the US bond market, and for US flight......This paper investigates flight-to-safety from stocks to bonds in seven European markets. We use quantile regressions to identify flight-to-safety episodes. The simple risk-return trade-off on the stock markets is negative which is caused by flight-to-safety episodes: During normal periods, the risk...

  12. Quantifying Stock Return Distributions in Financial Markets.

    Science.gov (United States)

    Botta, Federico; Moat, Helen Susannah; Stanley, H Eugene; Preis, Tobias

    2015-01-01

    Being able to quantify the probability of large price changes in stock markets is of crucial importance in understanding financial crises that affect the lives of people worldwide. Large changes in stock market prices can arise abruptly, within a matter of minutes, or develop across much longer time scales. Here, we analyze a dataset comprising the stocks forming the Dow Jones Industrial Average at a second by second resolution in the period from January 2008 to July 2010 in order to quantify the distribution of changes in market prices at a range of time scales. We find that the tails of the distributions of logarithmic price changes, or returns, exhibit power law decays for time scales ranging from 300 seconds to 3600 seconds. For larger time scales, we find that the distributions tails exhibit exponential decay. Our findings may inform the development of models of market behavior across varying time scales.

  13. The Australian stock market development: Prospects and challenges

    OpenAIRE

    Sheilla Nyasha; Nicholas M. Odhiambo

    2013-01-01

    This paper highlights the origin and development of the Australian stock market. The country has three major stock exchanges, namely: the Australian Securities Exchange Group, the National Stock Exchange of Australia, and the Asia-Pacific Stock Exchange. These stock exchanges were born out of a string of stock exchanges that merged over time. Stock-market reforms have been implemented since the period of deregulation, during the 1980s; and the Exchanges responded largely positively to these r...

  14. The performance of Libyan stock market

    Directory of Open Access Journals (Sweden)

    Atiya Aljbiri

    2012-01-01

    Full Text Available The objective of this paper is to answer the following question:. To what extent Libyan stock market developed to contribute to economic growth in Libya? This can be evaluated by using many financial indicators, these include stock market size, activity and efficiency, as well as the study including the regulatory framework, and information technology (IT set in place by the market authorities. However, descriptive and comparative method was used. The results indicated that, despite the modest progress made in a very short time regarding all indicators which the paper calculated, however, it can be said that Libyan stock market remain largely underdeveloped, small and relatively inefficient. Its market capitalization to GDP is very low and investors have no access to long-term capital. In addition, the market still have very low liquidity and investors still have a limited choice of financial instruments and face liquidity problems. In the end of this paper was its conclusion a set of recommendations that can be used in developing a program that aims to speed the development of Libyan stock market and increase its efficiency.

  15. Stock Market Interdependence: Evidence from Australia

    OpenAIRE

    Michael E. Drew; Leonard Chong

    2002-01-01

    This study examines the relationship between Australia’s stock market and the five largest international markets for the period 1991 through 2001. Preliminary findings, using correlation statistics, indicated potential benefits to international diversification for the Australian investor. Further analysis, conducted in the VAR framework using the Johansen co-integration method, found that the Australian market has short and long run linkages with the United States, while tests with other mark...

  16. Mean reversion in the US stock market

    International Nuclear Information System (INIS)

    Serletis, Apostolos; Rosenberg, Aryeh Adam

    2009-01-01

    This paper revisits the evidence for the weaker form of the efficient market hypothesis, building on recent work by Serletis and Shintani [Serletis A, Shintani M. No evidence of chaos but some evidence of dependence in the US stock market. Chaos, Solitons and Fractals 2003;17:449-54], Elder and Serletis [Elder J, Serletis A. On fractional integrating dynamics in the US stock market. Chaos, Solitons and Fractals 2007;34;777-81], Koustas et al. [Koustas Z, Lamarche J.-F, Serletis A. Threshold random walks in the US stock market. Chaos, Solitons and Fractals, forthcoming], Hinich and Serletis [Hinich M, Serletis A. Randomly modulated periodicity in the US stock market. Chaos, Solitons and Fractals, forthcoming], and Serletis et al. [Serletis A, Uritskaya OY, Uritsky VM. Detrended Fluctuation analysis of the US stock market. Int J Bifurc Chaos, forthcoming]. In doing so, we use daily data, over the period from 5 February 1971 to 1 December 2006 (a total of 9045 observations) on four US stock market indexes - the Dow Jones Industrial Average, the Standard and Poor's 500 Index, the NASDAQ Composite Index, and the NYSE Composite Index - and a new statistical physics approach - namely the 'detrending moving average (DMA)' technique, recently introduced by Alessio et al. [Alessio E, Carbone A, Castelli G, Frappietro V. Second-order moving average and scaling of stochastic time series. Euro Phys J B 2002;27;197-200.] and further developed by Carbone et al. [Carbone A, Castelli G, Stanley HE. Time dependent hurst exponent in financial time series. Physica A 2004;344;267-71, Carbone A, Castelli G, Stanley HE. Analysis of clusters formed by the moving average of a long-range correlated time series. Phys Rev E 2004;69;026105.]. The robustness of the results to the use of alternative testing methodologies is also investigated, by using Lo's [Lo AW. Long-term memory in stock market prices. Econometrica 1991;59:1279-313.] modified rescaled range analysis. We conclude that US stock

  17. Mean reversion in the US stock market

    Energy Technology Data Exchange (ETDEWEB)

    Serletis, Apostolos [Department of Economics, University of Calgary, Calgary, Alberta, T2N 1N4 (Canada)], E-mail: Serletis@ucalgary.ca; Rosenberg, Aryeh Adam [Department of Economics, University of Calgary, Calgary, Alberta, T2N 1N4 (Canada)

    2009-05-30

    This paper revisits the evidence for the weaker form of the efficient market hypothesis, building on recent work by Serletis and Shintani [Serletis A, Shintani M. No evidence of chaos but some evidence of dependence in the US stock market. Chaos, Solitons and Fractals 2003;17:449-54], Elder and Serletis [Elder J, Serletis A. On fractional integrating dynamics in the US stock market. Chaos, Solitons and Fractals 2007;34;777-81], Koustas et al. [Koustas Z, Lamarche J.-F, Serletis A. Threshold random walks in the US stock market. Chaos, Solitons and Fractals, forthcoming], Hinich and Serletis [Hinich M, Serletis A. Randomly modulated periodicity in the US stock market. Chaos, Solitons and Fractals, forthcoming], and Serletis et al. [Serletis A, Uritskaya OY, Uritsky VM. Detrended Fluctuation analysis of the US stock market. Int J Bifurc Chaos, forthcoming]. In doing so, we use daily data, over the period from 5 February 1971 to 1 December 2006 (a total of 9045 observations) on four US stock market indexes - the Dow Jones Industrial Average, the Standard and Poor's 500 Index, the NASDAQ Composite Index, and the NYSE Composite Index - and a new statistical physics approach - namely the 'detrending moving average (DMA)' technique, recently introduced by Alessio et al. [Alessio E, Carbone A, Castelli G, Frappietro V. Second-order moving average and scaling of stochastic time series. Euro Phys J B 2002;27;197-200.] and further developed by Carbone et al. [Carbone A, Castelli G, Stanley HE. Time dependent hurst exponent in financial time series. Physica A 2004;344;267-71, Carbone A, Castelli G, Stanley HE. Analysis of clusters formed by the moving average of a long-range correlated time series. Phys Rev E 2004;69;026105.]. The robustness of the results to the use of alternative testing methodologies is also investigated, by using Lo's [Lo AW. Long-term memory in stock market prices. Econometrica 1991;59:1279-313.] modified rescaled range analysis. We

  18. THE STEEL EUROPEAN STOCK MARKET EFFICIENCY

    Directory of Open Access Journals (Sweden)

    Viorica CHIRILA

    2015-12-01

    Full Text Available Testing the hypothesis of informational efficiency is a permanent preoccupation of researchers because the theories and the models of modern finance are based on it. This paper presents the results obtained after testing the efficiency hypothesis, in the weak form, for the European stock market of the companies that belong to the economic steel sub-sector. Following the use of both linear and non-linear tests of autocorrelation of returns we can conclude that the European stock market in the economic steel sub-sector is inefficient from an informational point of view and the investors in these stocks may obtain better results than those of the European market in general.

  19. An Intelligent Model for Stock Market Prediction

    Directory of Open Access Journals (Sweden)

    IbrahimM. Hamed

    2012-08-01

    Full Text Available This paper presents an intelligent model for stock market signal prediction using Multi-Layer Perceptron (MLP Artificial Neural Networks (ANN. Blind source separation technique, from signal processing, is integrated with the learning phase of the constructed baseline MLP ANN to overcome the problems of prediction accuracy and lack of generalization. Kullback Leibler Divergence (KLD is used, as a learning algorithm, because it converges fast and provides generalization in the learning mechanism. Both accuracy and efficiency of the proposed model were confirmed through the Microsoft stock, from wall-street market, and various data sets, from different sectors of the Egyptian stock market. In addition, sensitivity analysis was conducted on the various parameters of the model to ensure the coverage of the generalization issue. Finally, statistical significance was examined using ANOVA test.

  20. Stock market index prediction using neural networks

    Science.gov (United States)

    Komo, Darmadi; Chang, Chein-I.; Ko, Hanseok

    1994-03-01

    A neural network approach to stock market index prediction is presented. Actual data of the Wall Street Journal's Dow Jones Industrial Index has been used for a benchmark in our experiments where Radial Basis Function based neural networks have been designed to model these indices over the period from January 1988 to Dec 1992. A notable success has been achieved with the proposed model producing over 90% prediction accuracies observed based on monthly Dow Jones Industrial Index predictions. The model has also captured both moderate and heavy index fluctuations. The experiments conducted in this study demonstrated that the Radial Basis Function neural network represents an excellent candidate to predict stock market index.

  1. Participation Constraints in the Stock Market

    DEFF Research Database (Denmark)

    Andersen, Steffen; Meisner Nielsen, Kasper

    2011-01-01

    We use a natural experiment to investigate the impact of participation constraints on individuals' decisions to invest in the stock market. Unexpected inheritance due to sudden deaths results in exogenous variation in financial wealth, and allows us to examine whether fixed entry and ongoing...... participation costs cause non-participation. We have three key findings. First, windfall wealth has a positive effect on participation. Second, the majority of households do not react to sizeable windfalls by entering the stock market, but hold on to substantial safe assets—even over longer horizons. Third...

  2. Networks of volatility spillovers among stock markets

    Science.gov (United States)

    Baumöhl, Eduard; Kočenda, Evžen; Lyócsa, Štefan; Výrost, Tomáš

    2018-01-01

    In our network analysis of 40 developed, emerging and frontier stock markets during the 2006-2014 period, we describe and model volatility spillovers during both the global financial crisis and tranquil periods. The resulting market interconnectedness is depicted by fitting a spatial model incorporating several exogenous characteristics. We document the presence of significant temporal proximity effects between markets and somewhat weaker temporal effects with regard to the US equity market - volatility spillovers decrease when markets are characterized by greater temporal proximity. Volatility spillovers also present a high degree of interconnectedness, which is measured by high spatial autocorrelation. This finding is confirmed by spatial regression models showing that indirect effects are much stronger than direct effects; i.e., market-related changes in 'neighboring' markets (within a network) affect volatility spillovers more than changes in the given market alone, suggesting that spatial effects simply cannot be ignored when modeling stock market relationships. Our results also link spillovers of escalating magnitude with increasing market size, market liquidity and economic openness.

  3. Analysis on the Influence of Stock Index Futures on Chinese Stock Market

    Institute of Scientific and Technical Information of China (English)

    王钊

    2014-01-01

    As the first product of financial futures in China, CSI 300 Stock Index Futures is a symbol of the continual improvement and development of Chinese capital market system. So it would be bound to generate immeasurable influence on Chinese capital market and financial system. Starting from introducing the relevant summaries of stock index futures, this paper analyzes the influence of the stock index futures on the fluctuation in the international stock market;then, it analyzes influence of the stock index futures on the fluctuation in Chinese stock market, in order to propose some suggestions to the policies for developing Chinese stock index futures.

  4. An operatorial approach to stock markets

    International Nuclear Information System (INIS)

    Bagarello, F

    2006-01-01

    We propose and discuss some toy models of stock markets using the same operatorial approach adopted in quantum mechanics. Our models are suggested by the discrete nature of the number of shares and of the cash which are exchanged in a real market, and by the existence of conserved quantities, like the total number of shares or some linear combination of cash and shares. The same framework as the one used in the description of a gas of interacting bosons is adopted

  5. The Stock Market, Profit and Investment

    OpenAIRE

    Olivier Blanchard; Changyong Rhee; Lawrence Summers

    1990-01-01

    Should managers, when making investment decisions, follow the signals given by the stock market even if those do not coincide with their own assessments of fundamental value? This paper reviews the theoretical arguments and examines the empirical evidence, constructing and using a new US time series of data on the q ratio from 1900 to 1988. We decompose q - - the ratio of the market value of corporate capital to its replacement cost - - into the product of two terms, reflecting "fundamentals"...

  6. Structural Estimation of Stock Market Participation Costs

    DEFF Research Database (Denmark)

    Khorunzhina, Natalia

    2013-01-01

    education programs can affect consumers' investment decisions. Using household data from the Panel Study of Income Dynamics, I estimate the magnitude of the participation cost, allowing for individual heterogeneity in it. The results show the average stock market participation cost is about 4–6% of labor...

  7. Financial literacy and stock market participation

    NARCIS (Netherlands)

    van Rooij, Maarten; Lusardi, Annamaria; Alessie, Rob

    We have devised two special modules for De Nederlandsche Bank (DNB) Household Survey to measure financial literacy and study its relationship to stock market participation. We find that the majority of respondents display basic financial knowledge and have some grasp of concepts such as interest

  8. Stock Market Integration Measurement: Investigation of Malaysia and Singapore Stock Markets

    OpenAIRE

    B. K. Yeoh; Z. Arsad; C. W. Hooy

    2010-01-01

    This paper tests the level of market integration between Malaysia and Singapore stock markets with the world market. Kalman Filter (KF) methodology is used on the International Capital Asset Pricing Model (ICAPM) and the pricing errors estimated within the framework of ICAPM are used as a measure of market integration or segmentation. The advantage of the KF technique is that it allows for time-varying coefficients in estimating ICAPM and hence able to capture the varying degree of market int...

  9. Is Stock Market Crash Predictable? The Case Study of Stock Markets in Malaysia, Indonesia, Korea and Singapore

    OpenAIRE

    Ng, Ho Keng

    2008-01-01

    What is the stock market? A stock market is a market place that enables trading of company stocks, other forms of securities (such as bonds, debentures, and equity securities) and derivatives (for example, futures, forwards, options, and swaps). Stock market is an important source for companies or fund raisers to raise money and for investors or traders to make or loose money. It is also a market place for speculators to make arbitraged investment for financial gain. Due to its complexity and...

  10. RELATIONSHIP BETWEEN STOCK MARKET RETURNS AND EXCHANGERATES IN EMERGING STOCK MARKETS

    Directory of Open Access Journals (Sweden)

    M.N. Arshad

    2017-04-01

    Full Text Available Abstract-This paper aims to study the relationship between stock market returns and exchange rates in emerging stock markets including Malaysia, Singapore, Thailand, Indonesia and Philippines. The data is taken from January 2003 to December 2012 using weekly closing indices and separated in two periods; before (2003-2007 and second, after (2008-2012 the financial crisis of 2008. Johansen-Juselius (JJ. Granger causality tests show that unidirectional causality exists between the stock market returns and exchange rates for Thailand before the financial crisis, whilst, for Indonesia and Singapore, the unidirectional causality between the two variables is detected in the period after the financial crisis. Error Correction Model (ECM indicates the existence of long run causality between the two variables for Philippines. This study also finds that most of the emerging stock markets are informationally inefficient.

  11. Stock Market Integration in Africa: The Case of the Johannesburg Stock Exchange and Selected African Countries

    OpenAIRE

    Gail Ncube; Kapingura Forget Mingiri

    2015-01-01

    African stock markets are deemed to be small, segmented and illiquid. Given this back ground, the study utilises monthly data for the period 2000-2008, employing the Johansen and Julius cointegration method to determine the long-run relationship between the five selected African stock markets. Granger causality tests were also conducted to establish if there are any causal links between the stock markets in Africa. The analysis in the study indicates that African stock markets are improving i...

  12. SENSITIVITY OF THE INVESTOR'S TOWARDS STOCK MARKET INVESTMENT

    OpenAIRE

    M. Jaya

    2017-01-01

    Investment in stock market has become a common phenomenon for all the individuals. The growth of stock market contributes to national economic growth only when this growth translates into increased mobilization of resources, return from investment, and minimizing the risk attached to stock market investment. This survey has been conducted to find out the stock market investment pattern and risk diversification of retail equity investors. A well structured questionnaire which is pilot teste...

  13. Co-Movements Of U.S. And European Stock Markets Before And After The 2008 Gloal Stock Market Crash

    Directory of Open Access Journals (Sweden)

    Meric Ilhan

    2015-08-01

    Full Text Available Empirical studies show that correlation between national stock markets increased and the benefits of global portfolio diversification decreased significantly after the global stock market crash of 1987. The 1987 and 2008 crashes are the two most important global stock market crashes since the 1929 Great depression. Although the effects of the 1987 crash on the comovements of national stock markets have been investigated extensively, the effects of the 2008 crash have not been studied sufficiently. In this paper we study this issue with a research sample that includes the U.S stock market and twenty European stock markets. We find that correlation between the twenty-one stock markets increased and the benefits of portfolio diversification decreased significantly after the 2008 stock market crash.

  14. Immediate causality network of stock markets

    Science.gov (United States)

    Zhou, Li; Qiu, Lu; Gu, Changgui; Yang, Huijie

    2018-02-01

    Extensive works show that a network of stocks within a single stock market stores rich information on evolutionary behaviors of the system, such as collapses and/or crises. But a financial event covers usually several markets or even the global financial system. This mismatch of scale leads to lack of concise information to coordinate the event. In this work by using the transfer entropy we reconstruct the influential network between ten typical stock markets distributed in the world. Interesting findings include, before a financial crisis the connection strength reaches a maximum, which can act as an early warning signal of financial crises. The markets in America are monodirectionally and strongly influenced by that in Europe and act as the center. Some strongly linked pairs have also close correlations. The findings are helpful in understanding the evolution and modelling the dynamical process of the global financial system. This method can be extended straightly to find early warning signals for physiological and ecological systems, etc.

  15. Long memory in the Croatian and Hungarian stock market returns

    Directory of Open Access Journals (Sweden)

    Silvo Dajčman

    2012-06-01

    Full Text Available The objective of this paper is to analyze and compare the fractal structure of the Croatian and Hungarian stock market returns. The presence of long memory components in asset returns provides evidence against the weak-form of stock market efficiency. The starting working hypothesis that there is no long memory in the Croatian and Hungarian stock market returns is tested by applying the Kwiatkowski-Phillips-Schmidt-Shin (KPSS (1992 test, Lo’s (1991 modified rescaled range (R/S test, and the wavelet ordinary least squares (WOLS estimator of Jensen (1999. The research showed that the WOLS estimator may lead to different conclusions regarding long memory presence in the stock returns from the KPSS and unit root tests or Lo’s R/S test. Furthermore, it proved that the fractal structure of individual stock returns may be masked in aggregated stock market returns (i.e. in returns of stock index. The main finding of the paper is that both the Croatian stock index Crobex and individual stocks in this index exhibit long memory. Long memory is identified for some stocks in the Hungarian stock market as well, but not for the stock market index BUX. Based on the results of the long memory tests, it can be concluded that while the Hungarian stock market is weakform efficient, the Croatian stock market is not.

  16. Using the Stock Market to Teach Physics

    Science.gov (United States)

    Faux, David A.; Hearn, Stephen

    2004-11-01

    Students are interested in money. Personal finance is an important issue for most students, especially as they move into university education and take a greater control of their own finances. Many are also interested in stock markets and their ability to allow someone to make, and lose, large sums of money, with their interest fueled by the boom in technology-based stocks of 2000/2001 followed by their subsequent dramatic collapse and the publicizing of so-called "rogue-traders." There is also a much greater ownership of stocks by families following public offerings, stock-based savings products, and the ability to trade stocks online. Consequently, there has been a steady growth of finance and finance-related courses available within degree programs in response to the student demand, with many students motivated by the huge salaries commanded by those with a successful career in the financial sector. We report here details of a joint project between Charterhouse School and the University of Surrey designed to exploit the excitement of finance to teach elements of the high school (age 16-18) curriculum through modeling and simulation.

  17. A study of market efficiency in the stock market, forex market and bullion market in India

    OpenAIRE

    Sarker, Debnarayan; Ghosh, Bikash Kumar

    2007-01-01

    This study suggests that, run test, which are based on signs of indices / rates, do not reject efficient market hypothesis in the case of all the three markets, whereas VR tests, which capture the variation in permanent component of the series as a ratio to the total variation, reject the efficient market hypothesis in the case of the gold markets. Efficient market hypothesis in the case of Stock markets, Forex markets and Silver markets cannot be rejected based on VR tests. Since VR tests a...

  18. Taxation, Transfer Income and Stock Market Participation

    DEFF Research Database (Denmark)

    Fischer, Marcel; Astrup Jensen, Bjarne

    We study a redistributive tax system that taxes income and redistributes tax revenues in such a way that relatively rich agents are net contributors to relatively poor agents. The closed-form solution of our model allows two main conclusions: (i) Despite ongoing transfers, wealth levels are not h......We study a redistributive tax system that taxes income and redistributes tax revenues in such a way that relatively rich agents are net contributors to relatively poor agents. The closed-form solution of our model allows two main conclusions: (i) Despite ongoing transfers, wealth levels...... are not harmonized because poorer agents mainly use their transfer income to finance present consumption. (ii) Since the evolution of the economy determines both the level of tax revenues and the evolution of the stock market, transfer income is subject to stock market risk. Hence, poorer agents optimally reduce...

  19. Networks of volatility spillovers among stock markets

    Czech Academy of Sciences Publication Activity Database

    Baumöhl, E.; Kočenda, Evžen; Lyócsa, S.; Výrost, T.

    2018-01-01

    Roč. 490, č. 1 (2018), s. 1555-1574 ISSN 0378-4371 R&D Projects: GA ČR(CZ) GBP402/12/G097 Institutional support: RVO:67985556 Keywords : Volatility spillovers * Shock transmission * Stock markets * Granger causality network * Financial crisis * Spatial regression Subject RIV: AH - Economic s OBOR OECD: Applied Economic s, Econometrics Impact factor: 2.243, year: 2016 http://library.utia.cas.cz/separaty/2018/E/kocenda-0487923.pdf

  20. Stock market volatiltity around national elections

    OpenAIRE

    Bialkowski, Jedrzej; Gottschalk, Katrin; Wisniewski, Tomasz

    2006-01-01

    This paper investigates a sample of 27 OECD countries to test whether national elections induce higher stock market volatility. It is found that the country-specific component of index return variance can easily double during the week around an Election Day, which shows that investors are surprised by the election outcome. Several factors, such as a narrow margin of victory, lack of compulsory voting laws, change in the political orientation of the government, or the failure to form a coaliti...

  1. Stock Market Volatility around National Elections

    OpenAIRE

    Bialkowski, Jedrzej; Gottschalk, Katrin; Wisniewski, Tomasz Piotr

    2006-01-01

    This paper investigates a sample of 27 OECD countries to test whether national elections induce higher stock market volatility. It is found that the countryspecific component of index return variance can easily double during the week around an Election Day, which shows that investors are surprised by the election outcome. Several factors, such as a narrow margin of victory, lack of compulsory voting laws, change in the political orientation of the government, or the failure to form a coalitio...

  2. Price jumps on European stock markets

    Czech Academy of Sciences Publication Activity Database

    Hanousek, Jan; Kočenda, Evžen; Novotný, Jan

    2014-01-01

    Roč. 14, č. 1 (2014), s. 10-22 ISSN 2214-8450 R&D Projects: GA ČR(CZ) GAP403/11/0020; GA ČR(CZ) GBP402/12/G097 Grant - others:UK(CZ) UNCE 204005/2012 Institutional support: PRVOUK-P23 Keywords : stock markets * price jump indicators * non-parametric testing Subject RIV: AH - Economics

  3. Seasonal Trends in Lithuanian Stock Market

    Directory of Open Access Journals (Sweden)

    Žaneta Simanavičienė

    2013-11-01

    Full Text Available Purpose of the article is to disentangle different calendar effects which leave efficiency holes in Lithuanian market. This paper presents and tests if commonly described seasonal patterns exist in Lithuanian stock market. Analysis of three different sections: period-of-the-year; week-of-the-month and day-of-the-week, suggests that calendar effects do exist in this market. The multitude of explanations for the seasonal effect leaves the reader confused about its primary cause(s: is it tax-loss selling, window dressing, information, bid-ask bounce, or a combination of these causes? The confusion arises, in part, because evidence has generally been presented in support of a particular hypothesis though the same evidence may be consistent with another hypothesis. Methodology/methods are logical and systemic analysis of research literature based on the comparative and generalization methods as well as statistical methods. Scientific aim of the article is the lack of arguments questioning if market prices operating system is fully effective. Novelty of the paper is to the answer to the question what seasonal anomalies are also present in the stock market of new open economy countries. Findings show that using this modified strategy investor could achieve 20.7% compounded annual growth rate versus 7.8% achieved using simply holding stocks throughout. The hypothesis asserts that returns generally will be greater following the “January effect”. There is limited amount of data for constructing robust seasonal strategies so we modified Buy and Hold strategy with simple rules of using best and worst months to show how they influence OMXV index performance. In the conclusions, empirical results using stock index returns for 2000 - 2010 support the hypothesis in Lithuaian stock market. Abnormal activity of OMXV index’s performance is found in the end of summer and throughout autumn. August is best performer of the year while October is

  4. Simplified stock markets described by number operators

    Science.gov (United States)

    Bagarello, F.

    2009-06-01

    In this paper we continue our systematic analysis of the operatorial approach previously proposed in an economical context and we discuss a mixed toy model of a simplified stock market, i.e. a model in which the price of the shares is given as an input. We deduce the time evolution of the portfolio of the various traders of the market, as well as of other observable quantities. As in a previous paper, we solve the equations of motion by means of a fixed point like approximation.

  5. The synchronicity between the stock and the stock index via information in market

    Science.gov (United States)

    Gao, Hai-Ling; Li, Jiang-Cheng; Guo, Wei; Mei, Dong-Cheng

    2018-02-01

    The synchronicity between the stock and the stock-index in a market system is investigated. The results show that: (i) the synchronicity between the stock and the stock-index increases with the rising degree of market information capitalized into stock prices in certain range; (ii) the synchronicity decreases for large firm-specific information; (iii) the stock return synchronicity is small compared to the big noise trading, however the variance noise facilitates the synchronization within the tailored realms. These findings may be helpful in understanding the effect of market information on synchronicity, especially for the response of firm-specific information and noise trading to synchronicity.

  6. Renewable energies enter the stock market

    International Nuclear Information System (INIS)

    Boulanger, Vincent

    2016-01-01

    This article describes the new context created by the obligation for renewable energy installations to sell their electricity directly on the market. Thus, new practices and new actors appear like aggregators which belong to three categories: trading departments or subsidiary companies of national operators, trading departments or subsidiary companies of developers and producers of renewable energy, or independent market operators. The author describes the different cases in which renewable electricity producers will need aggregators (the mandatory purchase contract reaches its end, an additional income in the case of bidding or outside this case). The author also describes the role and responsibilities of aggregators, notably with respect to RTE. Such a market operation of course results in the taking of the electricity price on the stock market into account, and in the associated risks for aggregators

  7. Calendar anomalies in the Russian stock market

    Directory of Open Access Journals (Sweden)

    Guglielmo Maria Caporale

    2017-03-01

    Full Text Available This research note investigates whether or not calendar anomalies (such as the January, day-of-the-week and turn-of-the-month effects characterize the Russian stock market, which could be interpreted as evidence against market efficiency. Specifically, OLS, GARCH, EGARCH and TGARCH models are estimated using daily data for the MICEX market index over the period Sept. 1997–Apr. 2016. The empirical results show the importance of taking into account transactions costs (proxied by the bid-ask spreads: once these are incorporated into the analysis, calendar anomalies disappear, and therefore, there is no evidence of exploitable profit opportunities based on them that would be inconsistent with market efficiency.

  8. Investor’s Sentiments and Stock Market Volatility: an empirical evidence from emerging stock market

    Directory of Open Access Journals (Sweden)

    Mobeen Ur Rehman

    2013-05-01

    Full Text Available The concept of efficient market hypothesis has prevailed the financial markets for a long time which says that the prices of the securities reflect all available information. This approach was mainly followed by the rational investors but with the passage of time, the concept of behavioral finance emerged due to some of the major global financial crashes. This concept states that there are investors trading in the market making decisions on the basis of sentiments not on any fundamental information. Such class of traders is called the noise traders and they are mainly responsible for any disruption in the returns of the securities. In this paper we will try to find whether these sentiments of the investors affect the returns of the securities listed on the Karachi stock exchange. We will use the investor sentiment index that uses the six proxies the data on which has been collected mainly from the Karachi stock exchange. Volatility of the stock market returns will be calculated and regressed with the sentimental equation discussed above as the independent variable. This study will help us to find out the extent to which these sentiments influence the stock market returns in weak form efficient market and also it will help us to identify the presence of such irrational noise traders in our financial market.

  9. 26 CFR 1.1296-1 - Mark to market election for marketable stock.

    Science.gov (United States)

    2010-04-01

    ... 26 Internal Revenue 11 2010-04-01 2010-04-01 true Mark to market election for marketable stock. 1....1296-1 Mark to market election for marketable stock. (a) Definitions—(1) Eligible RIC. An eligible RIC... included in gross income by the company pursuant to such mark to market election with respect to such stock...

  10. Market Confidence Predicts Stock Price: Beyond Supply and Demand.

    Science.gov (United States)

    Sun, Xiao-Qian; Shen, Hua-Wei; Cheng, Xue-Qi; Zhang, Yuqing

    2016-01-01

    Stock price prediction is an important and challenging problem in stock market analysis. Existing prediction methods either exploit autocorrelation of stock price and its correlation with the supply and demand of stock, or explore predictive indictors exogenous to stock market. In this paper, using transaction record of stocks with identifier of traders, we introduce an index to characterize market confidence, i.e., the ratio of the number of traders who is active in two successive trading days to the number of active traders in a certain trading day. Strong Granger causality is found between the index of market confidence and stock price. We further predict stock price by incorporating the index of market confidence into a neural network based on time series of stock price. Experimental results on 50 stocks in two Chinese Stock Exchanges demonstrate that the accuracy of stock price prediction is significantly improved by the inclusion of the market confidence index. This study sheds light on using cross-day trading behavior to characterize market confidence and to predict stock price.

  11. Market Confidence Predicts Stock Price: Beyond Supply and Demand.

    Directory of Open Access Journals (Sweden)

    Xiao-Qian Sun

    Full Text Available Stock price prediction is an important and challenging problem in stock market analysis. Existing prediction methods either exploit autocorrelation of stock price and its correlation with the supply and demand of stock, or explore predictive indictors exogenous to stock market. In this paper, using transaction record of stocks with identifier of traders, we introduce an index to characterize market confidence, i.e., the ratio of the number of traders who is active in two successive trading days to the number of active traders in a certain trading day. Strong Granger causality is found between the index of market confidence and stock price. We further predict stock price by incorporating the index of market confidence into a neural network based on time series of stock price. Experimental results on 50 stocks in two Chinese Stock Exchanges demonstrate that the accuracy of stock price prediction is significantly improved by the inclusion of the market confidence index. This study sheds light on using cross-day trading behavior to characterize market confidence and to predict stock price.

  12. Momentum Investment Strategy : (An Empirical Study of the Canadian Stock Market and the Swedish Stock Market)

    OpenAIRE

    Ludvigsson, Anita

    2008-01-01

    Abstract Market efficiency is a highly debated topic within the academic research field of finance. Several studies have presented that the return on stocks may be predictable by employing the momentum investment strategy, which contradicts the Efficient Market Hypothesis in exchange market. There is extensive international evidence, on an academic level that the momentum investment strategy yields positive abnormal returns when short-term periods are considered. This paper examines the profi...

  13. The Role of Stock Market Development on Economic Growth in ...

    African Journals Online (AJOL)

    The method of analysis used is Ordinary Least Square (OLS) techniques. The study measures the relationship between stock market development indices and economic growth. The stock market capitalization ratio was used as a proxy for market size while value traded ratio and turnover ratio were used as proxy for market ...

  14. Global stock market linkages reduce potential for diversification

    OpenAIRE

    Karen K. Lewis

    2012-01-01

    Recent European government debt difficulties demonstrate how linked stock markets have become. Problems in countries such as Greece and Italy have depressed stock markets not only on the continent but also in the United States. Such comovement across international financial markets highlights U.S. equity markets’ exposure to foreign markets.

  15. Stock Market Optimism and Cointegration among Stocks: The Case of the Prague Stock Exchange

    Czech Academy of Sciences Publication Activity Database

    Baxa, Jaromír

    2007-01-01

    Roč. 15, č. 4 (2007), s. 5-16 ISSN 0572-3043 R&D Projects: GA ČR GD402/03/H057 Institutional research plan: CEZ:AV0Z10750506 Keywords : stock market * optimism * cointegration Subject RIV: AH - Economics

  16. Risk-Adjusted Returns and Stock Market Games.

    Science.gov (United States)

    Kagan, Gary; And Others

    1995-01-01

    Maintains that stock market games are designed to provide students with a background for investing in securities, especially stocks. Reviews two games used with secondary students, analyzes statistical data from these experiences, and considers weaknesses in the games. (CFR)

  17. Stock market prediction using technical analysis

    Directory of Open Access Journals (Sweden)

    Bradić-Martinović Aleksandra

    2006-01-01

    Full Text Available Technical analysis (TA is a form of analyzing market encompassing supply and demand of securities according to the study of their prices and trading volume. Using the appropriate methods, TA aims to identify price movements in the stock market, futures or currencies. In short, TA analysis is the process by which "future price movements are formulated according to the price history". TA originates from the work of Charles Dow and his conclusions about the global behavior of the market, as well as from Elliot Wave Theory. Dow did not regard its theory as a tool for stock market movement prediction, nor as a guide for investors, but as a kind of barometer of general market movements. The term TA methods encompasses all the methods used in tracking prices aiming to clearly predict future events. Many different methods, mainly statistical, are used in technical analysis, the most popular ones being: establishing and following trends using moving average, recognizing price momentum, calculating indicators and oscillators, as well as cycle analysis (structure indicators. It is also necessary to point out that TA is not a science in the true meaning of the term, and that methods it uses frequently deviate from the conventional manner of their use. The main advantage of these methods is their relative ease of use, aiming to give as clear picture as possible of price movements, while at the same time avoiding the use of complicated and complex mathematical methods. The reason for this is simple and is reflected in the dynamics of financial markets, where changes occur during short periods of time and where prompt decision-making is of vital importance.

  18. STOCK MARKET PREDICTION USING CLUSTERING WITH META-HEURISTIC APPROACHES

    OpenAIRE

    Prasanna, S.; Ezhilmaran, D.

    2015-01-01

    Various examinations are performed to predict the stock values, yet not many points at assessing the predictability of the direction of stock index movement. Stock market prediction with data mining method is a standout amongst the most paramount issues to be researched and it is one of the interesting issues of stock market research over several decades. The approach of advanced data mining tools and refined database innovations has empowered specialists to handle the immense measure of data...

  19. STOCK MARKET PREDICTION USING CLUSTERING WITH META-HEURISTIC APPROACHES

    OpenAIRE

    Prasanna, S.; Ezhilmaran, D.

    2014-01-01

    Various examinations are performed to predict the stock values, yet not many points at assessing the predictability of the direction of stock index movement. Stock market prediction with data mining method is a standout amongst the most paramount issues to be researched and it is one of the interesting issues of stock market research over several decades. The approach of advanced data mining tools and refined database innovations has empowered specialists to handle the immense measure of data...

  20. Facebook drives behavior of passive households in stock markets

    OpenAIRE

    Siikanen, Milla; Baltakys, Kęstutis; Kanniainen, Juho; Vatrapu, Ravi; Mukkamala, Raghava; Hussain, Abid

    2017-01-01

    Recent studies using data on social media and stock markets have mainly focused on predicting stock returns. Instead of predicting stock price movements, we examine the relation between Facebook data and investors' decision making in stock markets with a unique data on investors' transactions on Nokia. We find that the decisions to buy versus sell are associated with Facebook data especially for passive households and also for nonprofit organizations. At the same time, it seems that more soph...

  1. Enterprises from NewConnect Stock Market

    Directory of Open Access Journals (Sweden)

    Grzegorz Gołębiowski

    2009-12-01

    Full Text Available Corporate capital structure has been the subject of extensive research in the last decades. The article briefly examines the existing theories of corporate capital structure. However, applying those concepts in practice has brought mixed results. This study is another attempt to determine capital structure in selected companies as well as analyze impact of the pre-defined debt level on effectiveness of economic entity. Variables like size and sector and their influence on debt-raising ability have also been verified. 10 companies permitted to trade on NewConnect stock market constituted the sample for this study.

  2. Stocks and energy shocks : the impact of energy accidents on stock market value

    NARCIS (Netherlands)

    Scholtens, B.; Boersen, A.

    We investigate how financial market participants value energy accidents. We employ an event study to look into the response of stock markets to 209 accidents. These accidents were derived from Sovacool's (2008) database on major energy accidents from 1907 to 2007. It appears that the stock market in

  3. Market Performance and Accounting Information as the Reference of Stocks Portfolio Formation in Indonesia Stock Exchange

    OpenAIRE

    Pasaribu, Rowland Bismark Fernando

    2009-01-01

    This study aimed to a stock portfolio formed with composite of companies market (PER, PBV, ROE, EPS, PSR, and B/M, VaR) and accounting performance (ROE, and EPS) also their market capitalization in Indonesia Stock Exchange period 2003-2006. Some clarification need to achieved, such as: real difference among variabel refer to their market capitalization and influence of predictor to stock return. Hereinafter, the performance of selected portfolio were evaluated. The evaluation result conclude ...

  4. MEASURING THE SENSITIVITY OF TURKISH AND ROMANIAN STOCK MARKETS TO EUROPEAN STOCK MARKETS: A COMPARATIVE ANALYSIS

    Directory of Open Access Journals (Sweden)

    Ismet ATES

    2009-05-01

    Full Text Available Since the process of globalization accelerates all over the world, trade and economic relations among countries become very intensive and the stock markets in these countries started to integrate to each other quickly. As a result of this, world wide stoc

  5. Stock market and macroeconomic variables : evidences from Lithuania

    OpenAIRE

    Pilinkus, Donatas

    2009-01-01

    The stock market has been historically viewed as a reliable instrument to indicate economic processes. However, contemporary papers reveal the controversy of the issue. A clear understanding of stock market determinants is vital for investors, regulators, and academic researchers. Therefore, future researches are required to further explore this issue. The present paper analyzes relationships between a group of macroeconomic variables and the Lithuanian stock market index, i.e. OMX Vilnius in...

  6. Asymmetry Effects of shocks in Chinese Stock Markets Volatility

    DEFF Research Database (Denmark)

    Hou, Ai Jun

    2013-01-01

    The unique characteristics of the Chinese stock markets make it difficult to assume a particular distribution for innovations in returns and the specification form of the volatility process when modelling return volatility with the parametric GARCH family models. This paper therefore applies...... a generalized additive nonparametric smoothing technique to examine the volatility of the Chinese stock markets. The empirical results indicate that an asymmetric effect of negative news exists in the Chinese stock markets. Furthermore, compared with other parametric models, the generalized additive...

  7. Macedonian Small Investors’ Behavior Towards Stock Market

    Directory of Open Access Journals (Sweden)

    Angelovska Julijana

    2015-05-01

    Full Text Available Convenience sample survey was fielded to the Macedonian individual stock market investors to find out whether their investment behavior can be explained by some underlying factors grounded in the behavioral approach to the study of financial markets. Descriptive statistics technique has been used to analyze the investors’ attitude about the market’s efficiency and to test different theories of behavioral finance. The results have indicated that investors are not completely rational individuals as supposed by theories of traditional finance. Also in the theoretical framework of behavioral finance Macedonian investors use heuristics, or rules of thumb, when judging information and forming beliefs, but Macedonian investors do not behave as suggested within prospect theory and regret aversion.

  8. Quantum Brownian motion model for the stock market

    Science.gov (United States)

    Meng, Xiangyi; Zhang, Jian-Wei; Guo, Hong

    2016-06-01

    It is believed by the majority today that the efficient market hypothesis is imperfect because of market irrationality. Using the physical concepts and mathematical structures of quantum mechanics, we construct an econophysical framework for the stock market, based on which we analogously map massive numbers of single stocks into a reservoir consisting of many quantum harmonic oscillators and their stock index into a typical quantum open system-a quantum Brownian particle. In particular, the irrationality of stock transactions is quantitatively considered as the Planck constant within Heisenberg's uncertainty relationship of quantum mechanics in an analogous manner. We analyze real stock data of Shanghai Stock Exchange of China and investigate fat-tail phenomena and non-Markovian behaviors of the stock index with the assistance of the quantum Brownian motion model, thereby interpreting and studying the limitations of the classical Brownian motion model for the efficient market hypothesis from a new perspective of quantum open system dynamics.

  9. RUSSIAN STOCK MARKET INSTITUTIONAL PARTICIPANTS: HABITUS AND PRACTICES

    Directory of Open Access Journals (Sweden)

    Boris Borisovich Podgorny

    2017-11-01

    Full Text Available The global investment experience shows that economic growth is impossible without the creation of an effective national stock market. Also, along with the solution of the funds inflow into the economy, developed stock market contributes the creation of a mass economy owners community. Economic characteristics – economy demand for credit resources (especially in sanction terms, the availability of the savings among the Russian population, rates reduction on bank deposits, – saying that “investment boom” should take place in Russia today, in which a significant part of the population must be taken mass participation in the stock market, including the way through collective investment. However, the current situation does not allow us to talk about the successful development this direction of the Russian stock market. In this article, prepared in the framework of the author’s special sociological theory «The Russian Stock Market as a Social Space» [27], presented the results of Russian stock market institutional investors study including: the statistical indicators characterizing institutional investors on the stock market were analyzed; the practices caused by the existing habitus of Russian stock market institutional investors were classified and studied. It was found that the habitus of most institutional investors participating in the Russian stock market is marked a speculative nature.

  10. Politics and the Stock Market ; Evidence from Germany

    OpenAIRE

    Jörg Döpke; Christian Pierdzioch

    2004-01-01

    We analyze the interaction of stock market movements and politics in Germany. In contrast to the empirical evidence available for the U.S., we do not find that German stock market returns tend to be higher during liberal than during conservative governments. Also in contrast to results for the U.S., we find no evidence for an election cycle in German stock market returns. However, estimated popularity functions and VARs suggest that stock market returns have had an impact on the popularity of...

  11. Statistical pairwise interaction model of stock market

    Science.gov (United States)

    Bury, Thomas

    2013-03-01

    Financial markets are a classical example of complex systems as they are compound by many interacting stocks. As such, we can obtain a surprisingly good description of their structure by making the rough simplification of binary daily returns. Spin glass models have been applied and gave some valuable results but at the price of restrictive assumptions on the market dynamics or they are agent-based models with rules designed in order to recover some empirical behaviors. Here we show that the pairwise model is actually a statistically consistent model with the observed first and second moments of the stocks orientation without making such restrictive assumptions. This is done with an approach only based on empirical data of price returns. Our data analysis of six major indices suggests that the actual interaction structure may be thought as an Ising model on a complex network with interaction strengths scaling as the inverse of the system size. This has potentially important implications since many properties of such a model are already known and some techniques of the spin glass theory can be straightforwardly applied. Typical behaviors, as multiple equilibria or metastable states, different characteristic time scales, spatial patterns, order-disorder, could find an explanation in this picture.

  12. Does Automation Improve Stock Market Efficiency? Evidence from Ghana

    OpenAIRE

    Mensah, Justice T.; Pomaa-Berko, Maame; Adom, Philip Kofi

    2012-01-01

    As a burgeoning capital market in an emerging economy, automation of the stock market is regarded as a major step towards integrating the financial market as a conduit for economic growth. The automation of the Ghana Stock Exchange (GSE) in 2008 is expected among other things to improve the efficiency of the market. This paper therefore investigates the impact of the automation on the efficiency of the GSE within the framework of the weak-form Efficient Market Hypothesis (EMH) using daily mar...

  13. CONDUCT RESEARCH STOCK MARKET BASED ON MODELS OF ARCH

    Directory of Open Access Journals (Sweden)

    Ivan Burtnyak

    2016-06-01

    Full Text Available The purpose of this article is to study the dynamics of the volatility of some indicators of financial market of Ukraine using the methods ARCH modeling. As indicators of the financial market we take the most aggregated variables describing profitability or market price of the portfolio, but not individual assets constituting the portfolio. An indicator of the stock market index stands First Stock Trading System (PFTS. The conditional variance of financial indicators reflecting the level of systemic risk, measures the uncertainty associated with forecasting market dynamics. Key words. Autoregression models, econometric models, stock market, financial instruments, the PFTS index, volatility time series. JEL: C 50

  14. 26 CFR 1.1296-2 - Definition of marketable stock.

    Science.gov (United States)

    2010-04-01

    ... means— (1) Passive foreign investment company (PFIC) stock that is regularly traded, as defined in... section, a class of stock that is traded on one or more qualified exchanges or other markets, as defined... (B) The rules of the exchange effectively promote active trading of listed stocks. (2) Exchange with...

  15. The Australian stock market development: Prospects and challenges

    Directory of Open Access Journals (Sweden)

    Sheilla Nyasha

    2013-06-01

    Full Text Available This paper highlights the origin and development of the Australian stock market. The country has three major stock exchanges, namely: the Australian Securities Exchange Group, the National Stock Exchange of Australia, and the Asia-Pacific Stock Exchange. These stock exchanges were born out of a string of stock exchanges that merged over time. Stock-market reforms have been implemented since the period of deregulation, during the 1980s; and the Exchanges responded largely positively to these reforms. As a result of the reforms, the Australian stock market has developed in terms of the number of listed companies, the market capitalisation, the total value of stocks traded, and the turnover ratio. Although the stock market in Australia has developed remarkably over the years, and was spared by the global financial crisis of the late 2000s, it still faces some challenges. These include the increased economic uncertainty overseas, the downtrend in global financial markets, and the restrained consumer confidence in Australia.

  16. determinants of stock market development in nigeria using error ...

    African Journals Online (AJOL)

    DJFLEX

    impact the stock market; more domestic firms should be encouraged to enlist in the market and .... The result shows that economic growth, financial liberalization polices, and foreign .... inflation and exchange rate (dollar-naira rate) following.

  17. The Efficiency Of Ukraine’s Stock Market

    Directory of Open Access Journals (Sweden)

    Adilya Batroshyna

    2006-03-01

    Full Text Available The article is devoted to the study of the efficiency of Ukraine’s stock market based on the efficient market hypothesis (EMH which assumes that the price of a financial instrument completely reflects all the information about a given asset. Depending on the variety of information, weak, semi-strong and strong forms of market efficiency are applied The testing of market efficiency is based on verifying the hypothesis against actual statistical data. The study uses four statistical methods. The values of the stock index are used as source data, since the index can be interpreted as a hypothetical security (share, the price of which fluctuates all the time. This article demonstrates that Ukraine’s stock market on the whole is a weak form of market efficiency. It explains the specific strategies for a market with a weak form of efficiency and offers recommendations on the continued development of Ukraine’s stock market.

  18. Oil and stock market volatility: A multivariate stochastic volatility perspective

    International Nuclear Information System (INIS)

    Vo, Minh

    2011-01-01

    This paper models the volatility of stock and oil futures markets using the multivariate stochastic volatility structure in an attempt to extract information intertwined in both markets for risk prediction. It offers four major findings. First, the stock and oil futures prices are inter-related. Their correlation follows a time-varying dynamic process and tends to increase when the markets are more volatile. Second, conditioned on the past information, the volatility in each market is very persistent, i.e., it varies in a predictable manner. Third, there is inter-market dependence in volatility. Innovations that hit either market can affect the volatility in the other market. In other words, conditioned on the persistence and the past volatility in their respective markets, the past volatility of the stock (oil futures) market also has predictive power over the future volatility of the oil futures (stock) market. Finally, the model produces more accurate Value-at-Risk estimates than other benchmarks commonly used in the financial industry. - Research Highlights: → This paper models the volatility of stock and oil futures markets using the multivariate stochastic volatility model. → The correlation between the two markets follows a time-varying dynamic process which tends to increase when the markets are more volatile. → The volatility in each market is very persistent. → Innovations that hit either market can affect the volatility in the other market. → The model produces more accurate Value-at-Risk estimates than other benchmarks commonly used in the financial industry.

  19. Statistics of extreme events in Chinese stock markets

    International Nuclear Information System (INIS)

    Wu Gan-Hua; Qiu Lu; Li Xin-Li; Yang Yue; Yang Hui-Jie; Jiang Yan; Stephen Mutua

    2014-01-01

    We investigate the impact of financial factors on daily volume recurrent time intervals in the developing Chinese stock markets. The tails of probability distribution functions (PDFs) of volume recurrent intervals behave as a power-law, and the scaling exponent decreases with the increase of stock lifetime, which are similar to those in the US stock markets, and they are typical representatives of developed markets. The difference is that the power-law exponent values remain almost the same with the changes of market capitalization, mean volume, and mean trading value, respectively. These findings enrich the results for event statistics for financial markets. (interdisciplinary physics and related areas of science and technology)

  20. Stock Market Overreaction and Trading Volume: Evidence from Malaysia

    OpenAIRE

    Ruhani Ali; Zamri Ahmad; Shangkari V. Anusakumar

    2011-01-01

    We investigate the stock market overreaction in Bursa Malaysia from January 2000 to October 2010 using weekly data. We find that winner portfolios tend to have negative returns whereas loser portfolios have positive returns for various holding periods from 1 to 52 weeks. Loser stocks experience more persistent and stronger return reversals than winner stocks. The evidence implies that a lower level of overreaction exists for winner stocks. Overall, a loser-winner portfolio yields highly signi...

  1. The reaction of stock market returns to anticipated unemployment

    OpenAIRE

    Taamouti, Abderrahim; Gonzalo Muñoz, Jesús

    2012-01-01

    We empirically investigate the short-run impact of anticipated and unanticipated unemployment rates on stock prices. We particularly examine the nonlinearity in stock market's reaction to unemployment rate and study the effect at each individual point (quantile) of stock return distribution. Using nonparametric Granger causality and quantile regression based tests, we find that, contrary to the general findings in the literature, only anticipated unemployment rate has a strong impact on stock...

  2. Research on the fractal structure in the Chinese stock market

    Science.gov (United States)

    Zhuang, Xin-tian; Huang, Xiao-yuan; Sha, Yan-li

    2004-02-01

    Applying fractal theory, this paper probes and discusses self-similarity and scale invariance of the Chinese stock market. It analyses three kinds of scale indexes, i.e., autocorrelation index, Hurst index and the scale index on the basis of detrended fluctuation analysis (DFA) algorithm and promotes DFA into a recursive algorithm. Using the three kinds of scale indexes, we conduct empirical research on the Chinese Shanghai and Shenzhen stock markets. The results indicate that the rate of returns of the two stock markets does not obey the normal distribution. A correlation exists between the stock price indexes over time scales. The stock price indexes exhibit fractal time series. It indicates that the policy guide hidden at the back influences the characteristic of the Chinese stock market.

  3. The Warsaw Stock Exchange: A Test of Market Efficiency

    OpenAIRE

    Barry Gordon; Libby Rittenberg

    1995-01-01

    This paper analyzes the behavior of the Warsaw Stock Exchange in light of the efficient market hypothesis (EMH) and alternative models of market inefficiency. Following a brief history of the Warsaw Stock Exchange and a discussion of EMH and the Shiller (1991) critique, the Polish stock market is examined in terms of the extent to which the assumptions of EMH are met and in terms of the actual behavior of stock prices for the period of 1 June 1993 to 27 July 1994. The analysis suggests that E...

  4. Persistent collective trend in stock markets

    Science.gov (United States)

    Balogh, Emeric; Simonsen, Ingve; Nagy, Bálint Zs.; Néda, Zoltán

    2010-12-01

    Empirical evidence is given for a significant difference in the collective trend of the share prices during the stock index rising and falling periods. Data on the Dow Jones Industrial Average and its stock components are studied between 1991 and 2008. Pearson-type correlations are computed between the stocks and averaged over stock pairs and time. The results indicate a general trend: whenever the stock index is falling the stock prices are changing in a more correlated manner than in case the stock index is ascending. A thorough statistical analysis of the data shows that the observed difference is significant, suggesting a constant fear factor among stockholders.

  5. Derivative Market: An Integral Part Of The Zimbabwe Stock Exchange

    OpenAIRE

    Kosmas Njanike

    2010-01-01

    The study assesses the need for a derivative market as an integral of Zimbabwe Stock Exchange. It also aims to evaluate the feasibility of establishing a derivative market as an essential element of Zimbabwe Stock Exchange. The research identifies factors that need to be addressed to facilitate such a market. Views of various fund managers, financial analysts and dealers drawn from asset management firms were used. Changes in market trends are influenced by hyper inflation and acute financial...

  6. —The Stock Market's Pricing of Customer Satisfaction

    OpenAIRE

    Christopher Ittner; David Larcker; Daniel Taylor

    2009-01-01

    A number of recent marketing studies examine the stock market's response to the release of American Customer Satisfaction Index (ACSI) scores. The broad purpose of these studies is to investigate the stock market's valuation of customer satisfaction. However, a key focus is on whether customer satisfaction information predicts long-run returns. We provide evidence on the market's pricing of ACSI information using a more comprehensive set of well-established tests from the accounting and finan...

  7. Stock Market Volatility: Examining North America, Europe and Asia

    OpenAIRE

    Gamini Premaratne; Lakshmi Bala

    2004-01-01

    An understanding of volatility in stock markets is important for determining the cost of capital and for assessing investment and leverage decisions as volatility is synonymous with risk. Substantial changes in volatility of financial markets are capable of having significant negative effects on risk averse investors. Using daily returns from 1992 to 2002, we investigate volatility co-movement between the Singapore stock market and the markets of US, UK, Hong Kong and Japan. In order to gauge...

  8. Measuring liquidity on stock market: impact on liquidity ratio

    OpenAIRE

    Siniša Bogdan; Suzana Bareša; Saša Ivanović

    2012-01-01

    The purpose – It is important to emphasize that liquidity on Croatian stock market is low, the purpose of this paper is to test empirically and find out which variables make crucial role in decision making process of investing in stocks. Design – This paper explores the impact of various liquidity variables on liquidity ratio since it is still insufficiently researched topic. Methodology –This research uses secondary and primary data available from Croatian stock market. Considering pri...

  9. Aggregate Stock Market Illiquidity and Bond Risk Premia

    NARCIS (Netherlands)

    K.E. Bouwman (Kees); E. Sojli (Elvira); W.W. Tham (Wing Wah)

    2012-01-01

    textabstractWe assess the effect of aggregate stock market illiquidity on U.S. Treasury bond risk premia. We find that the stock market illiquidity variable adds to the well established Cochrane-Piazzesi and Ludvigson-Ng factors. It explains 10%, 9%, 7%, and 7% of the one-year-ahead variation in the

  10. Stock Market Reactions to Fiscal Policy Shocks: Empirical Evidence ...

    African Journals Online (AJOL)

    This study sets out to investigate the effect of fiscal policy on stock market performance in Nigeria. Specifically, the study examines if shocks in government expenditure and government debt affects stock market performance. The period of the study is from 1981-2012. Following the VAR estimates, the variance ...

  11. The Stock Market Fluctuations and Consumer Behaviour in Nigeria ...

    African Journals Online (AJOL)

    The stock market is a common feature of a modern economy as it promotes the growth and development of the economy. This paper examines the likely influence of recent stock market fluctuations on consumer behavior and the economy, focusing on wealth effects and consumption. After reviewing the relevant theoretical ...

  12. Do economic policy decisions affect stock market development in ...

    African Journals Online (AJOL)

    The Efficient Market Hypothesis proposes that macroeconomic policy actions do not influence stock market development but the Tobin's q theory argues otherwise. This paper uses the autoregressive distributed lag (ARDL) technique to investigate the impact of macroeconomic policy on the development of the Ghana Stock ...

  13. On the Feed-back Mechanism of Chinese Stock Markets

    Science.gov (United States)

    Lu, Shu Quan; Ito, Takao; Zhang, Jianbo

    Feed-back models in the stock markets research imply an adjustment process toward investors' expectation for current information and past experiences. Error-correction and cointegration are often used to evaluate the long-run relation. The Efficient Capital Market Hypothesis, which had ignored the effect of the accumulation of information, cannot explain some anomalies such as bubbles and partial predictability in the stock markets. In order to investigate the feed-back mechanism and to determine an effective model, we use daily data of the stock index of two Chinese stock markets with the expectational model, which is one kind of geometric lag models. Tests and estimations of error-correction show that long-run equilibrium seems to be seldom achieved in Chinese stock markets. Our result clearly shows the common coefficient of expectations and fourth-order autoregressive disturbance exist in the two Chinese stock markets. Furthermore, we find the same coefficient of expectations has an autoregressive effect on disturbances in the two Chinese stock markets. Therefore the presence of such feed-back is also supported in Chinese stock markets.

  14. Randomly modulated periodicity in the US stock market

    Energy Technology Data Exchange (ETDEWEB)

    Hinich, Melvin J. [Applied Research Laboratories, University of Texas at Austin, Austin, TX 78713-8029 (United States); Serletis, Apostolos [Department of Economics, University of Calgary, Calgary, Alta., T2N 1N4 (Canada)], E-mail: Serletis@ucalgary.ca

    2008-05-15

    This paper extends the work in Serletis and Shintani [Serletis A, Shintani M. No evidence of chaos but some evidence of dependence in the US stock market. Chaos, Solitons and Fractals 2003;17:449-454], Elder and Serletis [Elder J, Serletis A. On fractional integrating dynamics in the US stock market. Chaos, Solitons and Fractals [forthcoming, 2007

  15. Stock Market Reactions To Fiscal Policy Shocks: Empirical Evidence ...

    African Journals Online (AJOL)

    This study sets out to investigate the effect of fiscal policy on stock market performance in Nigeria. Specifically, the study examines if shocks in government expenditure and government debt affects stock market performance. The period of the study is from 1981-2012. Following the VAR estimates, the variance ...

  16. Randomly modulated periodicity in the US stock market

    International Nuclear Information System (INIS)

    Hinich, Melvin J.; Serletis, Apostolos

    2008-01-01

    This paper extends the work in Serletis and Shintani [Serletis A, Shintani M. No evidence of chaos but some evidence of dependence in the US stock market. Chaos, Solitons and Fractals 2003;17:449-454], Elder and Serletis [Elder J, Serletis A. On fractional integrating dynamics in the US stock market. Chaos, Solitons and Fractals [forthcoming, 2007

  17. An intense Nigerian stock exchange market prediction using logistic ...

    African Journals Online (AJOL)

    This paper is a continuation of our research work on the Nigerian Stock Exchange Market (NSEM) uncertainties, In our previous work (Magaji et al, 2013) we presented the Naive Bayes and SVM-SMO algorithms as a tools for predicting the Nigerian Stock Exchange Market; subsequently we used the same transformed data ...

  18. Crude oil price shocks and stock returns. Evidence from Turkish stock market under global liquidity conditions

    Energy Technology Data Exchange (ETDEWEB)

    Berk, Istemi [Koeln Univ. (Germany). Energiewirtschaftliches Inst.; Aydogan, Berna [Izmir Univ. of Economics (Turkey). Dept. of International Trade and Finance

    2012-09-15

    The purpose of this study is to investigate the impacts of crude oil price variations on the Turkish stock market returns. We have employed vector autoregression (V AR) model using daily observations of Brent crude oil prices and Istanbul Stock Exchange National Index (ISE- 1 00) returns for the period between January 2, 1990 and November 1, 2011. We have also tested the relationship between oil prices and stock market returns under global liquidity conditions by incorporating a liquidity proxy variable, Chicago Board of Exchange's (CBOE) S and P 500 market volatility index (VIX), into the model. Variance decomposition test results suggest little empirical evidence that crude oil price shocks have been rationally evaluated in the Turkish stock market. Rather, it was global liquidity conditions that were found to account for the greatest amount of variation in stock market returns.

  19. Exploring Market State and Stock Interactions on the Minute Timescale.

    Directory of Open Access Journals (Sweden)

    Lei Tan

    Full Text Available A stock market is a non-stationary complex system. The stock interactions are important for understanding the state of the market. However, our knowledge on the stock interactions on the minute timescale is limited. Here we apply the random matrix theory and methods in complex networks to study the stock interactions and sector interactions. Further, we construct a new kind of cross-correlation matrix to investigate the correlation between the stock interactions at different minutes within one trading day. Based on 50 million minute-to-minute price data in the Shanghai stock market, we discover that the market states in the morning and afternoon are significantly different. The differences mainly exist in three aspects, i.e. the co-movement of stock prices, interactions of sectors and correlation between the stock interactions at different minutes. In the afternoon, the component stocks of sectors are more robust and the structure of sectors is firmer. Therefore, the market state in the afternoon is more stable. Furthermore, we reveal that the information of the sector interactions can indicate the financial crisis in the market, and the indicator based on the empirical data in the afternoon is more effective.

  20. Exploring Market State and Stock Interactions on the Minute Timescale.

    Science.gov (United States)

    Tan, Lei; Chen, Jun-Jie; Zheng, Bo; Ouyang, Fang-Yan

    2016-01-01

    A stock market is a non-stationary complex system. The stock interactions are important for understanding the state of the market. However, our knowledge on the stock interactions on the minute timescale is limited. Here we apply the random matrix theory and methods in complex networks to study the stock interactions and sector interactions. Further, we construct a new kind of cross-correlation matrix to investigate the correlation between the stock interactions at different minutes within one trading day. Based on 50 million minute-to-minute price data in the Shanghai stock market, we discover that the market states in the morning and afternoon are significantly different. The differences mainly exist in three aspects, i.e. the co-movement of stock prices, interactions of sectors and correlation between the stock interactions at different minutes. In the afternoon, the component stocks of sectors are more robust and the structure of sectors is firmer. Therefore, the market state in the afternoon is more stable. Furthermore, we reveal that the information of the sector interactions can indicate the financial crisis in the market, and the indicator based on the empirical data in the afternoon is more effective.

  1. Stock Market and Sustainable Economic Growth in Nigeria

    Directory of Open Access Journals (Sweden)

    Erasmus L Owusu

    2016-11-01

    Full Text Available This paper examines the relationship between stock market evolution and sustainable economic growth in Nigeria. The study employs Auto-Regressive Distributed Lag (ARDL-bounds testing approach and a combined stock market indicators index to examine the relationship. The paper finds that, in the long run, stock markets have no positive and at best mixed effect on economic growth in Nigeria. This finding supports the numerous past studies, which have reported negative/mixed or inconclusive results on the effects of stock markets on economic growth. The paper, therefore, concludes that, there is the need for increasing financial deepening and the removal of bottlenecks in the financial sectors of the economy by providing further public and institutional education on the value of stock markets for economic development.

  2. OIL PRICES AND THE KUWAITI AND THE SAUDI STOCK MARKETS

    Directory of Open Access Journals (Sweden)

    Samih Antoine Azar

    2013-01-01

    Full Text Available The purpose of this paper is to test the impact of oil price shocks on the stock markets of the two biggest and most liquid GCC equity markets, those of Kuwait and Saudi Arabia. It is expected that the two stock markets react similarly to oil price shocks. Actually the results show heterogeneity in responses. While there is prima facie evidence that both stock markets are influenced positively and linearly by oil price shocks, this evidence disappears when additional variables are added to the regressions. With the larger specification oil price shocks do not impact, neither linearly or non-linearly, Kuwaiti stock markets. By contrast Saudi markets react non-linearly to both oil price shocks and shocks in the US S&P 500. The only common feature for both equity markets is the positive relation with the shocks in the US S&P 500.

  3. Behavioural finance perspectives on Malaysian stock market efficiency

    Directory of Open Access Journals (Sweden)

    Jasman Tuyon

    2016-03-01

    Full Text Available This paper provides historical, theoretical, and empirical syntheses in understanding the rationality of investors, stock prices, and stock market efficiency behaviour in the theoretical lenses of behavioural finance paradigm. The inquiry is guided by multidisciplinary behavioural-related theories. The analyses employed a long span of Bursa Malaysia stock market data from 1977 to 2014 along the different phases of economic development and market states. The tests confirmed the presence of asymmetric dynamic behaviour of prices predictability as well as risk and return relationships across different market states, risk states and quantiles data segments. The efficiency tests show trends of an adaptive pattern of weak market efficiency across various economic phases and market states. Collectively, these evidences lend support to bounded-adaptive rational of investors' behaviour, dynamic stock price behaviour, and accordingly forming bounded-adaptive market efficiency.

  4. Moon Effect on Paciic Basin Stock Markets

    Directory of Open Access Journals (Sweden)

    Rayenda Khresna Brahman

    2014-08-01

    Full Text Available This is an empirical study on the inluences of moon on seven stock markets, which are Indonesia, Malaysia, United Kingdom, United States, Philippines, Japan, and Thailand. The period is from January 1999 until December 2009 in daily basis. This study investigates the relationship  between  moon  phase  and  market  returns.  We  divided  moon  phases  into  new moon  and  full  moon.  While  literature  mention  the  relationship  between  moon  phase  and market returns, our research reject the null hypothesis in regression analysis. However, the descriptive  catches  the  indication  and  conirmed  previous  research.  It  also  proposes  that the market is still rational and not moon-mood inluenced. This result is not contending the EMH theorem. Further research is needed in term of investigating the relationship between psychology  factors  (heuristic  bias,  information  ignorance,  and  other  factors  and  investor behavior. The effect of moon on certain anomalies has to examine speciically. ";} // -->activate javascript

  5. Stock market in Ukraine: state and prospects of development

    Directory of Open Access Journals (Sweden)

    Krasnova Iryna V.

    2014-01-01

    Full Text Available The article is devoted to analysis of the topical problem of detection of specific features of functioning and problem of development of the stock market of Ukraine and also justification of directions of increase of its liquidity and efficiency. It analyses main tendencies and regularities of development of the stock market in the context of institutional, instrumental and infrastructural components. It considers issues of changes of volumes of trade and other parameters of activity of stock exchanges during recent years. It focuses on existing problems on the way of development of the stock market of Ukraine, which interfere with its efficient functioning, in particular, a limited number of liquid and investment attractive financial instruments, high fragmentariness of the exchange and depositary infrastructure, and insufficient legislative regulation of the exchange activity. For solution of problem issues and stimulation of further development of the domestic stock market the article marks expediency of consolidation of stock exchanges, necessity to increase capitalisation, liquidity and transparency of the stock market; further formation and consolidation of the market infrastructure and ensuring its reliable and efficient functioning, and improvement of mechanisms of state regulation, supervision and protection of the rights of investors in the Ukrainian stock market.

  6. ECONOMIC AND ACCOUNTING INFORMATION AND STOCK MARKET EFFICIENCY

    Directory of Open Access Journals (Sweden)

    Simona – Florina SĂLIȘTEANU

    2014-05-01

    Full Text Available The purpose of this paper is to explore and to analyse the relations between financial accounting information and stock market efficiency. As we know, accounting contributes to the efficiency of the stock market by producing primordial information for the investors. On the other side, an efficient market facilitates the role of accounting by providing a reliable estimate of the value of many assets that needs to be evaluated. This article examines the importance of the financial accounting information for the efficiency of stock market, and also analyses whether and how the structure, the characteristics and publication of the information, impacts the prices and transactions volumes.

  7. Extreme negative coexceedances in South Eastern European stock markets

    DEFF Research Database (Denmark)

    Tevdovski, Dragan

    The aim of this paper is to analyze the financial integration of the South Eastern Europe (SEE) stock markets. We use a multinomial logistic regression to analyze how persistence, asset class and volatility effects are related with negative coexceedances in SEE markets. We find evidence in favor...... of the continuation hypothesis in SEE stock markets. However, the factors associated with the coexceedances differ between the EU member countries from SEE and EU accession countries from SEE stock markets.The EU member countries are more dependent from the signals from major EU economies, while the accession...

  8. Stock market modeling and forecasting a system adaptation approach

    CERN Document Server

    Zheng, Xiaolian

    2013-01-01

    Stock Market Modeling translates experience in system adaptation gained in an engineering context to the modeling of financial markets with a view to improving the capture and understanding of market dynamics. The modeling process is considered as identifying a dynamic system in which a real stock market is treated as an unknown plant and the identification model proposed is tuned by feedback of the matching error. Like a physical system, a stock market exhibits fast and slow dynamics corresponding to internal (such as company value and profitability) and external forces (such as investor sentiment and commodity prices) respectively. The framework presented here, consisting of an internal model and an adaptive filter, is successful at considering both fast and slow market dynamics. A double selection method is efficacious in identifying input factors influential in market movements, revealing them to be both frequency- and market-dependent.   The authors present work on both developed and developing markets ...

  9. Effects of the Financial Crisis on Stock Market of the Czech Republic and Spain

    OpenAIRE

    Titizov, Toško

    2013-01-01

    The paper analyzes effects of the financial crisis on stock market of the Czech Republic and Spain. We employ BEKK-GARCH model in order to study volatility spillovers and transmissions from the US stock market to stock markets of the Czech Republic and Spain. The multivariate GARCH models results show statistically significant, but relatively small, almost irrelevant volatility spillovers from the US stock market to stock markets of the Czech Republic and Spain. The Czech stock market exhibit...

  10. Modelling the short term herding behaviour of stock markets

    International Nuclear Information System (INIS)

    Shapira, Yoash; Berman, Yonatan; Ben-Jacob, Eshel

    2014-01-01

    Modelling the behaviour of stock markets has been of major interest in the past century. The market can be treated as a network of many investors reacting in accordance to their group behaviour, as manifested by the index and effected by the flow of external information into the system. Here we devise a model that encapsulates the behaviour of stock markets. The model consists of two terms, demonstrating quantitatively the effect of the individual tendency to follow the group and the effect of the individual reaction to the available information. Using the above factors we were able to explain several key features of the stock market: the high correlations between the individual stocks and the index; the Epps effect; the high fluctuating nature of the market, which is similar to real market behaviour. Furthermore, intricate long term phenomena are also described by this model, such as bursts of synchronized average correlation and the dominance of the index as demonstrated through partial correlation. (paper)

  11. Portfolio optimization for index tracking modelling in Malaysia stock market

    Science.gov (United States)

    Siew, Lam Weng; Jaaman, Saiful Hafizah; Ismail, Hamizun

    2016-06-01

    Index tracking is an investment strategy in portfolio management which aims to construct an optimal portfolio to generate similar mean return with the stock market index mean return without purchasing all of the stocks that make up the index. The objective of this paper is to construct an optimal portfolio using the optimization model which adopts regression approach in tracking the benchmark stock market index return. In this study, the data consists of weekly price of stocks in Malaysia market index which is FTSE Bursa Malaysia Kuala Lumpur Composite Index from January 2010 until December 2013. The results of this study show that the optimal portfolio is able to track FBMKLCI Index at minimum tracking error of 1.0027% with 0.0290% excess mean return over the mean return of FBMKLCI Index. The significance of this study is to construct the optimal portfolio using optimization model which adopts regression approach in tracking the stock market index without purchasing all index components.

  12. Has microblogging changed stock market behavior? Evidence from China

    Science.gov (United States)

    Jin, Xi; Shen, Dehua; Zhang, Wei

    2016-06-01

    This paper examines the stock market behavior for a long-lived subset of firms in Shanghai and Shenzhen CSI 300 Index (CSI 300 Index) both before and after the establishment of firms' Microblogging in Sina Weibo. The empirical results show a significant increase in the relative trading volume as well as the decreases in the daily expected stock return and firm-level volatility in the post-Sina Weibo period. These findings suggest that Sina Weibo as an alternative information interaction channel has changed the information environment for individual stock, enhanced the speed of information diffusion and therefore changed the overall stock market behavior.

  13. Facebook Drives Behavior of Passive Households in Stock Markets

    DEFF Research Database (Denmark)

    Siikanen, Milla; Baltakys, Kęstutis; Kanniainen, Juho

    2018-01-01

    on Nokia. We find that the decisions to buy versus sell are associated with Facebook data especially for passive households and for nonprofit organizations. At the same time, it seems that more sophisticated investors—financial and insurance institutions—are behaving independently from Facebook activities.......Recent studies using data on social media and stock markets have mainly focused on predicting stock returns. Instead of predicting stock price movements, we examine the relation between Facebook data and investors’ decision making in stock markets with a unique data on investors’ transactions...

  14. Market skewness risk and the cross section of stock returns

    DEFF Research Database (Denmark)

    Chang, B.Y.; Christoffersen, Peter; Jacobs, K.

    2013-01-01

    The cross section of stock returns has substantial exposure to risk captured by higher moments of market returns. We estimate these moments from daily Standard & Poor's 500 index option data. The resulting time series of factors are genuinely conditional and forward-looking. Stocks with high...... exposure to innovations in implied market skewness exhibit low returns on average. The results are robust to various permutations of the empirical setup. The market skewness risk premium is statistically and economically significant and cannot be explained by other common risk factors such as the market...... excess return or the size, book-to-market, momentum, and market volatility factors, or by firm characteristics....

  15. Classifying Returns as Extreme: European Stock and Bond Markets

    DEFF Research Database (Denmark)

    Christiansen, Charlotte

    whereby a shorter sample period is needed. For the bond markets the simultaneous extreme return variable (used for analyzing integration and contagion of financial markets) is not statistically different for the two schemes. For the stock markets there are differences, but they are disappearing......I consider the stock and bond markets of 14 EU countries. I use two classification schemes for defining extreme returns: One, the existing univariate classification scheme which considers each market separately. Two, the new multivariate classification scheme that considers all the markets jointly...

  16. The interdependence of major european stock markets: evidence for Greece

    OpenAIRE

    Καινούργιος, Δημήτριος Φ.; Σαμίτας, Αριστείδης Γ.

    2003-01-01

    This paper provides new evidence on the relationship between the Greek "blue chip" stock market and the six relative European markets by applying cointegration tests. The time period examined is 1998 to 2000, which marks the entry of Greece to the European Exchange Rates Mechanism II. The empirical results indicate that the Athens Stock Exchange has no considerable links, except for one case, with any other European developed markets examined. These findings have some significa...

  17. Can Internet search queries help to predict stock market volatility?

    OpenAIRE

    Dimpfl, Thomas; Jank, Stephan

    2011-01-01

    This paper studies the dynamics of stock market volatility and retail investor attention measured by internet search queries. We find a strong co-movement of stock market indices’ realized volatility and the search queries for their names. Furthermore, Granger causality is bi-directional: high searches follow high volatility, and high volatility follows high searches. Using the latter feedback effect to predict volatility we find that search queries contain additional information about market...

  18. Value Investing in the Stock Market of Thailand

    Directory of Open Access Journals (Sweden)

    Gerardo “Gerry” Alfonso Perez

    2017-11-01

    Full Text Available Value investment and growth investment have attracted a large amount of research in recent decades, but most of this research focuses on the U.S. and Europe. This article covers the Thai stock market which has very different characteristics compared to western markets and even South East Asian countries such as Indonesia or Malaysia. Among South East Asian countries, Thailand has one of the most dynamic capital markets. In order to see if some well-known trends in other markets exist in Thailand the performance of value and growth stocks in the Thai market were analyzed for a period of 17 years using existing style indexes (MSCI as well as creating portfolios using individual stocks. For this entire period, when using the indexes, returns are statistically significant superior for value stocks compared to growth stocks. However, when analyzing the performance of the market in any given calendar year from 1999 to 2016, the results are much more mixed with in fact growth stocks outperforming in several of those years. Interestingly, when building portfolios using criteria such as low P/E or low P/B the results are not statistically different. Suggesting perhaps that the classification into value or growth stocks is more complex than it would appear. One of the common assumptions of value investing is that those stocks outperform over long periods of time. It might well be that in the Thai case one year is not a long enough period for value stocks to outperform. While there have been some clear efforts over recent years to modernize the stock market of Thailand, it remains relatively underdeveloped, particularly when compared to markets such as the U.S. Hence, its behavior regarding value versus growth investment might be rather different.

  19. Scaling and predictability in stock markets: a comparative study.

    Directory of Open Access Journals (Sweden)

    Huishu Zhang

    Full Text Available Most people who invest in stock markets want to be rich, thus, many technical methods have been created to beat the market. If one knows the predictability of the price series in different markets, it would be easier for him/her to make the technical analysis, at least to some extent. Here we use one of the most basic sold-and-bought trading strategies to establish the profit landscape, and then calculate the parameters to characterize the strength of predictability. According to the analysis of scaling of the profit landscape, we find that the Chinese individual stocks are harder to predict than US ones, and the individual stocks are harder to predict than indexes in both Chinese stock market and US stock market. Since the Chinese (US stock market is a representative of emerging (developed markets, our comparative study on the markets of these two countries is of potential value not only for conducting technical analysis, but also for understanding physical mechanisms of different kinds of markets in terms of scaling.

  20. Scaling and predictability in stock markets: a comparative study.

    Science.gov (United States)

    Zhang, Huishu; Wei, Jianrong; Huang, Jiping

    2014-01-01

    Most people who invest in stock markets want to be rich, thus, many technical methods have been created to beat the market. If one knows the predictability of the price series in different markets, it would be easier for him/her to make the technical analysis, at least to some extent. Here we use one of the most basic sold-and-bought trading strategies to establish the profit landscape, and then calculate the parameters to characterize the strength of predictability. According to the analysis of scaling of the profit landscape, we find that the Chinese individual stocks are harder to predict than US ones, and the individual stocks are harder to predict than indexes in both Chinese stock market and US stock market. Since the Chinese (US) stock market is a representative of emerging (developed) markets, our comparative study on the markets of these two countries is of potential value not only for conducting technical analysis, but also for understanding physical mechanisms of different kinds of markets in terms of scaling.

  1. Dependence of Stock Markets with Gold and Bonds under Bullish and Bearish Market States

    OpenAIRE

    Shahzad, Syed Jawad Hussain; Raza, Naveed; Shahbaz, Muhammad; Ali, Azwadi

    2017-01-01

    This paper examines the dependence of gold and benchmark bonds with ten stock markets including five larger developed markets (e.g. USA, UK, Japan, Canada and Germany) and five Eurozone peripheral GIPSI countries (Greece, Ireland, Portuguese, Spain and Ireland) stock markets. We use a novel quantile-on-quantile (QQ) approach to construct the dependence estimates of the quantiles of gold and bond with the quantiles of stock markets. The QQ approach, recently developed by Sim and Zhou (2015), c...

  2. Corruption and stock market development: A quantitative approach

    Science.gov (United States)

    Bolgorian, Meysam

    2011-11-01

    Studying the relation between corruption and economic factors and examining its consequences for economic development have attracted many economists and physicists in recent years. The purpose of this paper is to focus on the role of stock market development on corruption. Analyzing a data set of corruption and stock market development measures such as market capitalization and total value of share trading for 46 countries around the world for the period 2007-2009, we examine the dependence of the Corruption Perception Index (CPI) on stock market development. Our findings suggest that there exists a power-law dependence between corruption and stock market development. We also observe a negative relation between level of corruption and financial system improvement.

  3. Corruption and Stock Market Development: New Evidence from GCC Countries

    Directory of Open Access Journals (Sweden)

    Moaz Alsherfawi Aljazaerli

    2016-06-01

    Full Text Available The theoretical relationship between corruption and stock market development has been debated quite extensively in the literature, yet the evidence on the impact of corruption on stock market development remains contradictory and ambiguous. This paper investigates the impact of corruption, as measured by Corruption Perception Index (CPI published by Transparency International, on stock market development focusing exclusively on Gulf Cooperation Council (GCC countries with its special characteristics of combining richness with relatively high level of corruption. Results from an estimation of alternative regression models on a panel of six GCC countries over the period 2003–2011, through which CPI is legitimately comparable, confirms a positive impact of corruption on stock market development, where the latter is measured by market capitalization. This is consistent with the view that corruption greases the wheels of economy by expediting transactions and allowing private firms to overcome governmentally imposed inefficiencies.

  4. 17 CFR 240.15g-2 - Penny stock disclosure document relating to the penny stock market.

    Science.gov (United States)

    2010-04-01

    ... 17 Commodity and Securities Exchanges 3 2010-04-01 2010-04-01 false Penny stock disclosure document relating to the penny stock market. 240.15g-2 Section 240.15g-2 Commodity and Securities Exchanges... Section 15(d) of the Act § 240.15g-2 Penny stock disclosure document relating to the penny stock market...

  5. Multiscale Shannon entropy and its application in the stock market

    Science.gov (United States)

    Gu, Rongbao

    2017-10-01

    In this paper, we perform a multiscale entropy analysis on the Dow Jones Industrial Average Index using the Shannon entropy. The stock index shows the characteristic of multi-scale entropy that caused by noise in the market. The entropy is demonstrated to have significant predictive ability for the stock index in both long-term and short-term, and empirical results verify that noise does exist in the market and can affect stock price. It has important implications on market participants such as noise traders.

  6. How Newspaper-Article-Events, Other Stock Market Indices, and the Foreign Currency Rate Affect the Philippine Stock Market

    OpenAIRE

    Percival S. Gabriel

    2013-01-01

    Eugene Fama in his “Efficient Market Hypothesis” introduced the term newspaper-article-event. The aim of this paper is to find out if newspaper-article-events which are presented and discussed in newspaper articles and which could collage to create an atmosphere of investment, together with the indices of other stock markets (treated as other events) and the performance of the Philippine Peso against the US Dollar (considered as another event) could affect the closing Philippine Stock Market ...

  7. The Random-Walk Hypothesis on the Indian Stock Market

    OpenAIRE

    Ankita Mishra; Vinod Mishra; Russell Smyth

    2014-01-01

    This study tests the random walk hypothesis for the Indian stock market. Using 19 years of monthly data on six indices from the National Stock Exchange (NSE) and the Bombay Stock Exchange (BSE), this study applies three different unit root tests with two structural breaks to analyse the random walk hypothesis. We find that unit root tests that allow for two structural breaks alone are not able to reject the unit root null; however, a recently developed unit root test that simultaneously accou...

  8. Investor behavior heterogeneity in the French stock market

    OpenAIRE

    Rania Guirat

    2011-01-01

    We estimate in this paper a non probabilistic Markovien model of stock prices with an evolutionary selection of heterogeneous strategies. It is a model proposed by Brock and Hommes (1997, 1998) and improved later by Boswijk and al. (2007). Indeed, the latter propose one of the few estimations considering stock markets data, characterized by an evolutionary selection procedure of heterogeneous strategies. They estimate the model to annual US stock price data from 1871 to 2003. In this paper, w...

  9. Investors' performance and trading behavior on the Norwegian stock market

    OpenAIRE

    Che, Limei

    2011-01-01

    This dissertation examines investors’ performance and trading behavior on the Norwegian stock market, using a unique and extensive data set of monthly holdings of all the investors. The first paper studies how Norwegian individual investors, financial institutional investors and foreign investors affect stock return volatility and finds surprising and interesting results: domestic individual investors and financial institutional investors dampen stock return volatility, and foreign investors ...

  10. THE EFFICIENT MARKET HYPOTHESIS REVISITED: EVIDENCE FROM THE FIVE SMALL OPEN ASEAN STOCK MARKETS

    OpenAIRE

    QAISER MUNIR; KOK SOOK CHING; FUMITAKA FUROUKA; KASIM MANSUR

    2012-01-01

    The efficient market hypothesis (EMH), which suggests that returns of a stock market are unpredictable from historical price changes, is satisfied when stock prices are characterized by a random walk (unit root) process. A finding of unit root implies that stock returns cannot be predicted. This paper investigates the stock prices behavior of five ASEAN (Association of Southeast Asian Nations) countries i.e., Indonesia, Malaysia, Philippines, Singapore and Thailand, for the period from 1990:1...

  11. Stock Indices as Generalizing Indicators of the Stock Markets Condition in the European Union Countries

    Directory of Open Access Journals (Sweden)

    Shuba M. V.

    2015-03-01

    Full Text Available The aim of the article is to determine the degree of interdependence of stock markets in separate countries of the European Union, namely: France, Germany, Great Britain, Poland, the Czech Republic and Hungary on the basis of studying the changes in stock indexes, as well as determining the existence of tendencies of approximating the dynamics of the national stock index «PFTS Index» to the corresponding dynamics of stock indexes in surveyed countries. The article analyzes the dynamics of changes in stock indices in the UK (FTSE, Germany (DAX 30, France (CAC 40 and pan-European ones (EURO STOXX 50, as well as changes in stock indices in Poland (WIG 20, Czech Republic (PX, Hungary (BUX. Calculations of the coefficients of pair correlation between changes in stock indices in the studied countries have been performed. The calculation results show a substantial connection between the indicators of changes in stock indices and allow to make a conclusion that in the dynamics of stock indices of national stock markets of the studied EU countries some common trends are observed, moreover, in the behavior of the considered indices common local trends are noticed as well. The author calculated the coefficient of pair correlation between the indicators of changes in the national stock index «PFTS Index» and the stock indices of the «old» and «new» EU countries. The calculations showed that the PFTS Index does not demonstrate a high level of correlation with stock indices of the «old» EU countries and has a tendency of approaching the corresponding dynamics of stock indices of the «new» EU countries.

  12. Transmission of Shock across International Stock Markets: An Econometric Analysis

    Directory of Open Access Journals (Sweden)

    Shalini TALWAR

    2018-05-01

    Full Text Available The risk of spillover of volatility among international stock markets has increased manifold and it needs to be diagnosed comprehensively. In this paper, the authors have used 11 stock indices to identify influential markets and detect the direction of transmission of shock across markets in different time zones using Granger causality test, Johansen cointegration test and vector autoregression. The findings of VAR show that the forecast error at the 10-day horizon explained by their own innovation is highest for the Australian and Chinese markets followed by Japan, India, Brazil and Russia.Markets of Germany, UK, USA and Canada are influenced by the Australian market. In fact, the Australian market is seen to be the most influential market among the markets under the study. The impact of Chinese and Canadian markets is found to be the least. These results can be useful for optimal option valuation, effective portfolio allocation and performance benchmarking

  13. RELATIONSHIP DERIVATIVES FINANCIAL MARKETS, MONEY AND STOCK MARKETS AS A SUBSYSTEM OF FINANCIAL MARKET

    Directory of Open Access Journals (Sweden)

    Yulia Yelnikova

    2016-11-01

    Full Text Available Under conditions of intensive strengthening of globalization of world financial markets and deepening of the crisis, the main source of which are financial markets, financial derivatives market is rapidly developing. In such circumstances, we observe very active growing demand for tools, the main purpose of which is to reduce the financial risk – derivatives. Outlined trend has also involved Ukraine. In this connection, there is an objective need to develop estimate the interconnection of the money and stock markets and derivatives market. It should be kept in mind that achieving the outlined goal is possible only under condition of the full understanding of the scientific and methodological principles of the development of these markets. Purpose is to estimate the interconnection of the money and stock markets and derivatives market by building a mathematical model of system of structural equations that will promote the compilation of scientifically based program of derivatives market. Methodology. By using methods of economic-mathematical modelling were estimated the degree of influence of studied markets factors on financial derivatives market development and by changing this or that factor were predicted future trends of its operations. Results of the survey showed the current state and problems of derivatives market functioning. At the same time, our study allowed us to talk, that factors of the money and stock markets have a different impact on the derivatives market. So, the majority of money market factors have a reverse influence on the development of derivatives market. Instead, the stock market has a direct influence. Practical implications. The proposed scientific and methodical approach to evaluating the impact of factors on the derivatives market allows: influenced by different factors; to conduct a qualitative interpretation of the quantitative changes in the level of market development; to form a complete system of state

  14. Network structure detection and analysis of Shanghai stock market

    Directory of Open Access Journals (Sweden)

    Sen Wu

    2015-04-01

    Full Text Available Purpose: In order to investigate community structure of the component stocks of SSE (Shanghai Stock Exchange 180-index, a stock correlation network is built to find the intra-community and inter-community relationship. Design/methodology/approach: The stock correlation network is built taking the vertices as stocks and edges as correlation coefficients of logarithm returns of stock price. It is built as undirected weighted at first. GN algorithm is selected to detect community structure after transferring the network into un-weighted with different thresholds. Findings: The result of the network community structure analysis shows that the stock market has obvious industrial characteristics. Most of the stocks in the same industry or in the same supply chain are assigned to the same community. The correlation of the internal stock prices’ fluctuation is closer than in different communities. The result of community structure detection also reflects correlations among different industries. Originality/value: Based on the analysis of the community structure in Shanghai stock market, the result reflects some industrial characteristics, which has reference value to relationship among industries or sub-sectors of listed companies.

  15. Stock Market Integration: Are Risk Premiums of International Assets Equal?

    Directory of Open Access Journals (Sweden)

    Kusdhianto Setiawan

    2014-02-01

    Full Text Available This paper studies previous research on capital market integration and applies a simple international capital asset pricing model by considering the incompleteness in market integration and heteroscedasticity of the market returns. When we disregarded those two factors, we found that stock markets were integrated and the law of one price on risk premiums prevails. However, when the factors were considered, the markets were just partially integrated.

  16. An Analysis of Manipulation Strategies in Stock Markets

    OpenAIRE

    Rasim Ozcan

    2012-01-01

    Manipulative transactions, which affect both the supply and demand side of the markets, have been studied by academic circles and it was concluded that manipulation exerts negative impact on markets. A market with manipulation is considered as less trustworthy and credible compared to a market without manipulation, which in turn, affects demand. Manipulations affecting both the supply and demand should be closely monitored by stock market investors as well as legislative, executive, and regul...

  17. Essays on investing in stock and bond markets

    NARCIS (Netherlands)

    Kuiper, Ivo

    2017-01-01

    This Ph.D. thesis consists of three chapters about investing in stock and bond markets. The first chapter studies the financial market’s response to economic news as function of the economic environment by attributing the daily stock returns to its main drivers. The second chapter studies the cross

  18. DEA investment strategy in the Brazilian stock market

    OpenAIRE

    Newton da Costa, Jr.; Marcus Lima; Edgar Lanzer; Ana Lopes

    2008-01-01

    This paper presents a multi-period investment strategy using Data Envelopment Analysis (DEA) in the Brazilian stock market. Results show that the returns based on the DEA strategy were superior to the returns of a Brazilian stock index in most of the 22 quarters analyzed, presenting a significant Jensen's alpha.

  19. Market skewness risk and the cross section of stock returns

    NARCIS (Netherlands)

    Chang, B.; Christoffersen, P.; Jacobs, K.

    2013-01-01

    The cross section of stock returns has substantial exposure to risk captured by higher moments of market returns. We estimate these moments from daily Standard & Poor's 500 index option data. The resulting time series of factors are genuinely conditional and forward-looking. Stocks with high

  20. RE-EXAMINING STOCK MARKET INTEGRATION AMONG BRICS COUNTRIES

    Directory of Open Access Journals (Sweden)

    Berzanna Seydou Ouattara

    2017-09-01

    Full Text Available The main goal of this paper is to contribute to the international investment decision making process among the BRICS countries and to the development or changes of policies in response to the dynamics in these countries. The background is important for international investors seeking diversification benefits abroad and for policy makers reacting to the developments in the aforementioned economies. Thus, the context of this paper is directed to the examination of the stock market interaction among the BRICS countries. The objective of this research paper is to analyze the existence of the short-term linkages and long-term cointegration among the BRICS markets. Augmented Dicker-Fuller (ADF and Philips-Perron tests (PP are used to analyze stationarity among the selected variables. The research applies the correlation test on the stock markets returns to investigate the degree of freedom existing among the markets. The long run and the short run are also investigated using Johansen cointegration test while the Pairwise Granger Causality and the Wald tests are applied to assess the direction of the causality between the stock market indices. The study also extends the investigation by employing the impulse response function and variance decomposition to evaluate the reaction of each stock to a shock from other stock indices. The quarterly data consisted of fifteen years from 2000 to 2015 and are exclusively composed of stock market index of selected countries. One of the key findings of the research is that the Chinese stock markets are mostly independent from other BRICS markets, implying diversification benefits for the international investors both in the short and the long run. Another important finding is that the BRICS stock markets are not cointegrated in the long run, thus, being a favorable destination for the long-term investments.

  1. Stock Market Capitalisation and Interest Rate in Nigeria: A Time ...

    African Journals Online (AJOL)

    Obviously for the Nigerian capital market to enhance economic growth and development and compare favourably with those of developed market economies, investors will need to be abreast with the happenings and great benefits of the stock market. In this case a lot depends on considerable control of the interest rate, the ...

  2. Determinants Of Equity Prices In The Stock Market

    Directory of Open Access Journals (Sweden)

    Muhammad Usman Javaid

    2010-12-01

    Full Text Available This study examines the effect of market variables on the movement stock prices in Pakistan. Asset pricing is considered as efficient if the asset prices reflect all available market information. This study examined the extent to which some "information factors" or market indices affect the stock price. A simple regression model has been used to develop a relation between the variables (stock prices, earnings per share, gross domestic product, dividend, inflation and KIBOR after testing for multi-collinearity among the independent variables. All the variables have shown positive correlation with stock prices with some exceptions of GDP and inflation. This study has enriched the existing literature while it would help policy makers who are interested in deploying instruments of monetary policy and other economic indices for the growth of the capital market.

  3. What the 2008 stock market crash means for retirement security.

    Science.gov (United States)

    Butrica, Barbara A; Smith, Karen E; Toder, Eric J

    2010-10-01

    The 2008 stock market crash raises concerns about retirement security, especially since the increased prevalence of 401(k) and similar retirement saving plans means that more Americans are now stakeholders in the equity market than in the past. Using a dynamic microsimulation model, this paper explores the ability of alternate future stock market scenarios to restore retirement assets. The authors find that those near retirement could fare the worst because they have no time to recoup their losses. Mid-career workers could fare better because they have more time to rebuild their wealth. They may even gain income if they buy stocks at low prices and get above-average rates of return. High-income groups will be the most affected because they are most likely to have financial assets and to be invested in the stock market.

  4. Dynamic Stock Market Participation of Households with Heterogeneous Participation Costs

    DEFF Research Database (Denmark)

    Khorunzhina, Natalia

    This paper develops and estimates a dynamic model of stock market participation, where consumers’ decisions regarding stock market participation are influenced by participation costs. The practical significance of the participation costs is considered as being a channel through which financial...... education programs can affect consumers’ investment decisions. Using household data from the Panel Study of Income Dynamics, I estimate the magnitude of the participation cost, allowing for individual heterogeneity in it. The results show the average stock market participation cost is about 5% of labor...... income; however, it varies substantially over consumers’ life. The model successfully predicts the level of the observed participation rate and the increasing pattern of stock market participation over the consumers’ life cycle....

  5. Impact of Global Financial Crisis on Nigerian Stock Market | Onuoha ...

    African Journals Online (AJOL)

    Impact of Global Financial Crisis on Nigerian Stock Market. ... that the global financial crisis measured by currency crisis, credit crisis, liquidity crisis, ... relevant regulatory authorities should use the financial stress index (FSI) as proposed by ...

  6. Social Interaction and Stock Market Participation: Evidence from China

    Directory of Open Access Journals (Sweden)

    Zhifeng Liu

    2014-01-01

    Full Text Available Current research on the impact of social interaction on the stock market participation only involves the traditional way of social interaction, and this paper further investigates the modern social interaction effects on the stock market participation and its activeness. The sample containing 150 Chinese counties is selected, and we apply grouping analysis and linear regression to conclude that social interaction has positive influence on the stock market participation and its activeness. Both traditional and modern social interaction ways affect the stock market participation and its activeness to the similar extent, so modern social interaction is of the same importance. Controlling for the respondents’ age, wealth, and education level, the above conclusion still holds.

  7. Network formation in a multi-asset artificial stock market

    Science.gov (United States)

    Wu, Songtao; He, Jianmin; Li, Shouwei; Wang, Chao

    2018-04-01

    A multi-asset artificial stock market is developed. In the market, stocks are assigned to a number of sectors and traded by heterogeneous investors. The mechanism of continuous double auction is employed to clear order book and form daily closed prices. Simulation results of prices at the sector level show an intra-sector similarity and inter-sector distinctiveness, and returns of individual stocks have stylized facts that are ubiquitous in the real-world stock market. We find that the market risk factor has critical impact on both network topology transition and connection formation, and that sector risk factors account for the formation of intra-sector links and sector-based local interaction. In addition, the number of community in threshold-based networks is correlated negatively and positively with the value of correlation coefficients and the ratio of intra-sector links, which are respectively determined by intensity of sector risk factors and the number of sectors.

  8. Privatization, political risk and stock market development in emerging economies

    NARCIS (Netherlands)

    Perotti, E.C.; van Oijen, P.H.

    1999-01-01

    This paper investigates whether privatisation in emerging economies has a significant indirect effect on local stock market development through the resolution of political risk. We argue that a sustained privatisation programme represents a major political test which gradually resolves uncertainty

  9. Impact of Global Financial Crisis on Nigerian Stock Market

    African Journals Online (AJOL)

    DrNneka

    Key words: Global financial crisis, Nigerian stock market, currency crisis, ... drop in all economic indices over a relatively short period of time leading to corporate .... magnitude and many countries with sound fundamentals also plunged into a ...

  10. Study on Return and Volatility Spillover Effects among Stock, CDS, and Foreign Exchange Markets in Korea

    Directory of Open Access Journals (Sweden)

    Taly I

    2015-09-01

    Full Text Available The key objective of this study is to investigate the return and volatility spillover effects among stock market, credit default swap (CDS market and foreign exchange market for three countries: Korea, the US and Japan. Using the trivariate VAR BEKK GARCH (1,1 model, the study finds that there are significant return and volatility spillover effects between the Korean CDS market and the Korean stock market. In addition, the return spillover effects from foreign exchange markets and the US stock market to the Korean stock market, and the volatility spillover effect from the Japanese stock market to the Korean stock market are both significant.

  11. Foreign ownership in Vietnam stock markets - an empirical analysis

    OpenAIRE

    Vo, Xuan Vinh

    2010-01-01

    This paper investigates foreign ownership in the Vietnam stock market from 2007 to 2009 employing a rich and detailed dataset. From the perspective of informational asymmetry, the paper examines the relationship between the foreign ownership level and attributes of Vietnamese listed firm in Ho Chi Minh City Stock Exchange. The findings of the paper indicate that foreign investors have preference for large firms, firms with high book-to-market ratio and firms with low leverage. Foreign investo...

  12. International stock market integration: Central and South Eastern Europe compared

    Czech Academy of Sciences Publication Activity Database

    Horváth, Roman; Petrovski, D.

    2013-01-01

    Roč. 37, č. 1 (2013), s. 81-91 ISSN 0939-3625 R&D Projects: GA ČR GA402/09/0965 Institutional support: RVO:67985556 Keywords : stock markets * South Eastern Europe Subject RIV: AH - Economics Impact factor: 0.611, year: 2013 http://library.utia.cas.cz/separaty/2013/E/horvath-international stock market integration central and south eastern europe compared.pdf

  13. International Stock Market Comovements: What Happened during the Financial Crisis?

    Czech Academy of Sciences Publication Activity Database

    Horváth, Roman; Poldauf, P.

    2012-01-01

    Roč. 12, č. 1 (2012), s. 1-21 ISSN 1524-5861 R&D Projects: GA ČR GA402/09/0965 Institutional research plan: CEZ:AV0Z10750506 Institutional support: RVO:67985556 Keywords : stock market comovements * financial crisis * GARCH Subject RIV: AH - Economics http://library.utia.cas.cz/separaty/2012/E/horvath-international stock market comovements what happened during the financial crisis .pdf

  14. Did pension plan accounting contribute to a stock market bubble?

    OpenAIRE

    Julia Lynn Coronado; Steven A. Sharpe

    2003-01-01

    During the 1990s, the asset portfolios of defined-benefit (DB) pension plans ballooned with the booming stock market. Due to current accounting guidelines, the robust growth in pension assets resulted in a stealthy but substantial boost to the profits of sponsoring corporations. This study assesses the extent to which equity investors were fooled by pension accounting. First, we test whether stock prices reflected the fair market value of sponsoring firms' net pension assets reported in footn...

  15. Relationship Among Political Instability, Stock Market Returns and Stock Market Volatility

    Directory of Open Access Journals (Sweden)

    Irshad Hira

    2017-08-01

    Full Text Available This study investigated the relationship of political instability with the stock prices. Results of the study indicated the negative relationship of stock prices with political instability. Moreover, results of suggested that instable political system ultimately leads decline in stock prices. Inflation has shown negative relationship with stock prices whereas, industrial production and Exports have positive relationship with stock prices.

  16. Relationship Among Political Instability, Stock Market Returns and Stock Market Volatility

    OpenAIRE

    Irshad Hira

    2017-01-01

    This study investigated the relationship of political instability with the stock prices. Results of the study indicated the negative relationship of stock prices with political instability. Moreover, results of suggested that instable political system ultimately leads decline in stock prices. Inflation has shown negative relationship with stock prices whereas, industrial production and Exports have positive relationship with stock prices.

  17. Effects of daylight savings time changes on stock market volatility.

    Science.gov (United States)

    Berument, M Hakan; Dogan, Nukhet; Onar, Bahar

    2010-04-01

    The presence of daylight savings time effects on stock returns and on stock volatility was investigated using an EGARCH specification to model the conditional variance. The evidence gathered from the major United States stock markets for the period between 1967 and 2007 did not support the existence of the daylight savings time effect on stock returns or on volatility. Returns on the first business day following daylight savings time changes were not lower nor was the volatility higher, as would be expected if there were an effect.

  18. An econometric model of the South African stock market

    Directory of Open Access Journals (Sweden)

    E Moolman

    2015-01-01

    Full Text Available A wealth of literature exists concerning the modelling of stock markets, as well as the examination of the relationshiop between share price and various economic factors, both theoretically and empirically.  However, most studies use data for developed countries in their analyses, while the literature moselling emerging stock markets in general, and the south African stock market in particular, is quite sparse.  This study develops a structural theoretically founded model of the South African stock market that is estimated using co-integration and error-correction techniques. These techniques respectively estimate the long-term equilibrium or intrinsic value of the stock market, and the short-term fluctuations around the quilibrium level. According to the results, share prices are co-integrated with the variables dictated by the expected present value model of asset price determination.  The short-term fluctuations are determined by various factors such as interest rates, a risk premium, the exchange rate, foreign stock market adn other variables.

  19. Style investing: behavioral explanations of stock market anomalies

    OpenAIRE

    Wouters, T.

    2006-01-01

    Abstract PhD-project The aim of this thesis is to explore the mechanisms of style investing. My project consists of two parts, each with an individual goal: 1. The first objective will be to analyze the implications of the dynamics of value and growth strategies for the US stock market. 2. The second objective will be to find explanations for stock returns by introducing the effects of collective preferences of investors into the dynamics of stock markets. We introduce style popularity as an ...

  20. Hierarchical structure of stock price fluctuations in financial markets

    International Nuclear Information System (INIS)

    Gao, Ya-Chun; Cai, Shi-Min; Wang, Bing-Hong

    2012-01-01

    The financial market and turbulence have been broadly compared on account of the same quantitative methods and several common stylized facts they share. In this paper, the She–Leveque (SL) hierarchy, proposed to explain the anomalous scaling exponents deviating from Kolmogorov monofractal scaling of the velocity fluctuation in fluid turbulence, is applied to study and quantify the hierarchical structure of stock price fluctuations in financial markets. We therefore observed certain interesting results: (i) the hierarchical structure related to multifractal scaling generally presents in all the stock price fluctuations we investigated. (ii) The quantitatively statistical parameters that describe SL hierarchy are different between developed financial markets and emerging ones, distinctively. (iii) For the high-frequency stock price fluctuation, the hierarchical structure varies with different time periods. All these results provide a novel analogy in turbulence and financial market dynamics and an insight to deeply understand multifractality in financial markets. (paper)

  1. The impact of derivatives on Malaysian stock market

    Science.gov (United States)

    Malim, M. R.; Halim, F. A.; Murad, A.; Maad, H. A.; Annuar, N. F. M.

    2017-09-01

    The essential of derivatives has been discovered by researchers over recent decade. However, the conclusions made regarding the impact of derivatives on stock market volatility remains debatable. The main objective of this study is to examine the impact of derivatives on Malaysian stock market volatility by exploring FTSE Bursa Malaysia Kuala Lumpur Composite Index Futures (BMD FKLI) using FBM KLCI as the underlying asset. Generalized Autoregressive Conditional Heteroskedasticity (GARCH) (1, 1) model was employed to realize the objective. The results have shown that the introduction of futures trading has decreased the volatility of Malaysian stock market. The volatility increased vigorously during the Asian financial crisis compared to the Global financial crisis. However, the role of futures as a risk transfer is agreed as it could improve the market by decreasing the volatility in the spot market.

  2. The Impulsive Stock Market of Bangladesh and the Great Recession

    Directory of Open Access Journals (Sweden)

    Saif Hossain

    2013-07-01

    Full Text Available The paper investigates whether the stock market of Bangladesh can be related with the last world recession. The Pearson’s correlation analysis model was used to find the correlation between the Dhaka Stock Exchange General index and real GDP growth rate of the world. The findings show that no statistically significant correlation exists between the two variables inferring that the stock market of Bangladesh was not significantly affected by ‘the great recession’ (2007-2009. The findings of this study are inconsistent with the results of previous studies which claimed that the Bangladesh stock market shares a common stochastic trend with the capital market of USA. The results of this study may be explained mainly by domestic factors such as low market capitalization, market inefficiency, strict monitoring and control by the Security and Exchange Commission and low international participation in the stock market of Bangladesh. All these factors, along with the inconsistency with past results, instigate further investigation.

  3. STOCK Market Differences in Correlation-Based Weighted Network

    Science.gov (United States)

    Youn, Janghyuk; Lee, Junghoon; Chang, Woojin

    We examined the sector dynamics of Korean stock market in relation to the market volatility. The daily price data of 360 stocks for 5019 trading days (from January, 1990 to August, 2008) in Korean stock market are used. We performed the weighted network analysis and employed four measures: the average, the variance, the intensity, and the coherence of network weights (absolute values of stock return correlations) to investigate the network structure of Korean stock market. We performed regression analysis using the four measures in the seven major industry sectors and the market (seven sectors combined). We found that the average, the intensity, and the coherence of sector (subnetwork) weights increase as market becomes volatile. Except for the "Financials" sector, the variance of sector weights also grows as market volatility increases. Based on the four measures, we can categorize "Financials," "Information Technology" and "Industrials" sectors into one group, and "Materials" and "Consumer Discretionary" sectors into another group. We investigated the distributions of intrasector and intersector weights for each sector and found the differences in "Financials" sector are most distinct.

  4. Modeling IPO In Dubai Stock Market: Booming Or Tumbling Return?

    OpenAIRE

    Viviane Y. Naïmy

    2011-01-01

    This paper examines the impact of IPO on Dubai Stock Market. We measured through detailed distribution analysis and hypothesis testing the Dubai markets reaction to IPO. We demonstrated that IPO had downbeat impact on Dubai market performance in terms of return as revealed by the rejection of the alternative hypothesis. The independency between market return and IPO was partially attributed to irrational valuations at the time of IPO.

  5. Multiscale Detrended Cross-Correlation Analysis of STOCK Markets

    Science.gov (United States)

    Yin, Yi; Shang, Pengjian

    2014-06-01

    In this paper, we employ the detrended cross-correlation analysis (DCCA) to investigate the cross-correlations between different stock markets. We report the results of cross-correlated behaviors in US, Chinese and European stock markets in period 1997-2012 by using DCCA method. The DCCA shows the cross-correlated behaviors of intra-regional and inter-regional stock markets in the short and long term which display the similarities and differences of cross-correlated behaviors simply and roughly and the persistence of cross-correlated behaviors of fluctuations. Then, because of the limitation and inapplicability of DCCA method, we propose multiscale detrended cross-correlation analysis (MSDCCA) method to avoid "a priori" selecting the ranges of scales over which two coefficients of the classical DCCA method are identified, and employ MSDCCA to reanalyze these cross-correlations to exhibit some important details such as the existence and position of minimum, maximum and bimodal distribution which are lost if the scale structure is described by two coefficients only and essential differences and similarities in the scale structures of cross-correlation of intra-regional and inter-regional markets. More statistical characteristics of cross-correlation obtained by MSDCCA method help us to understand how two different stock markets influence each other and to analyze the influence from thus two inter-regional markets on the cross-correlation in detail, thus we get a richer and more detailed knowledge of the complex evolutions of dynamics of the cross-correlations between stock markets. The application of MSDCCA is important to promote our understanding of the internal mechanisms and structures of financial markets and helps to forecast the stock indices based on our current results demonstrated the cross-correlations between stock indices. We also discuss the MSDCCA methods of secant rolling window with different sizes and, lastly, provide some relevant implications and

  6. INTERDEPENDENCE BETWEEN JAKARTA STOCK EXCHANGE AND OTHER PACIFIC-BASIN STOCK MARKETS

    Directory of Open Access Journals (Sweden)

    Noer Azam Achsani

    2011-08-01

    Full Text Available Normal 0 false false false MicrosoftInternetExplorer4 International capital markets linkages have been studied since early 90-es.  Most of these studies have mainly focused on the US and other developed markets. There were only a few researches on this topic in the emerging markets.  This paper examines the dynamic linkages among Indonesian and other Pacific-Basin stock markets using correlation analysis, Granger-causality and vector autoregressive (VAR approach. All the methods give generally similar results. Our empirical results indicate a high degree of international co-movement among the stock price indices.  The degree of integration among these markets after Asian Crisis increased substantially in compare to those before Asian Crisis. The results also show that there are close relationships among the geographically and economically closed markets such as ASEAN markets, New Zealand-Australian and also Hong Kong - South Korea.  The pattern of impulse-response functions illustrates a rapid transmission of stock market events. Shocks in the developed markets are immediately transmitted to other markets. Shocks in the emerging markets are also transmitted to other markets, but without such a big effect comparing to those in the developed markets. The Jakarta stock exchange is strongly correlated with other Pacific-Basin markets, especially with ASEAN markets, Hong Kong and Australia.   The strongest foreign effects for the JSX come from Singapore, Hong Kong and Thailand. They can explain about 5 – 8% of error variance of the Jakarta Index. In contrast, the JSX index can explain 3 - 5 % of their error variances. 

  7. The stock selection problem: Is the stock selection approach more important than the optimization method? Evidence from the Danish stock market

    OpenAIRE

    Grobys, Klaus

    2011-01-01

    Passive investment strategies basically aim to replicate an underlying benchmark. Thereby, the management usually selects a subset of stocks being employed in the optimization procedure. Apart from the optimization procedure, the stock selection approach determines the stock portfolios' out-of-sample performance. The empirical study here takes into account the Danish stock market from 2000-2010 and gives evidence that stock portfolios including small companies' stocks being estimated via coin...

  8. Stock market reaction to xenophobic violence in an emerging economy

    Directory of Open Access Journals (Sweden)

    Collins C. Ngwakwe

    2017-05-01

    Full Text Available This paper presents an initial evaluation of possible effect of xenophobic violence on the Johannesburg Stock Market. Violence is inimical to economic development as it constraints normal business operations and causes a rebound on the stock market. The paper applied the event trend analysis combined with a statistical t-test of paired sample means in the pre and post-xenophobic period stock performance. Data was drawn from the JSE All Share Index - Capped Indices Performance (J303 - Capi DY for 2008 and 2015, during & after the xenophobic violence of 2008 and 2015. The economic consequences of social instability were substantiated with related literature. The theoretical foundation was inclined on the integrated threat theory and the social contract theory. Findings from the analysis of paired sample t-test showed a significant difference in means of stock performance with P<0.05 within and after the xenophobic period. Furthermore, a t-test of similarity in stock performance chart for periods of xenophobic violence 2008 and 2015 showed no significant difference in stock performance trend – indicating similarity in stock chart between 2008 and 2015 periods of xenophobic violence. The paper recommends the need for further research of a broader scope that will consider many years of xenophobic events or similar violence across countries using multiple stock performance and economic performance indicators.

  9. A causality between fund performance and stock market

    Science.gov (United States)

    Kim, Ho-Yong; Kwon, Okyu; Oh, Gabjin

    2016-02-01

    We investigate whether the characteristic fund performance indicators (FPI), such as the fund return, the Net asset value (NAV) and the cash flow, are correlated with the asset price movement using information flows estimated by the Granger causality test. First, we find that the information flow of FPI is most sensitive to extreme events of the Korean stock market, which include negative events such as the sub-prime crisis and the impact of QE (quantitative easing) by the US subprime and Europe financial crisis as well as the positive events of the golden period of Korean Composite Stock Price Index (KOSPI), except for the fund cash flow. Second, both the fund return and the NAV exhibit significant correlations with the KOSPI, whereas the cash flow is not correlated with the stock market. This result suggests that the information resulting from the ability of the fund manager should influence stock market. Finally, during market crisis period, information flows between FPI and the Korean stock market are significantly positively correlated with the market volatility.

  10. Cascading effect of contagion in Indian stock market: Evidence from reachable stocks

    Directory of Open Access Journals (Sweden)

    Rajan Sruthi

    2017-12-01

    Full Text Available The financial turbulence in a country percolates to another along the trajectories of reachable stocks owned by foreign investors. To indemnify the losses originating from the crisis country, foreign investors dispose of shares in other markets triggering a contagion in an unrelated market. This paper provides empirical evidence for the stock market crisis that spreads globally through investors owning international portfolios, with special reference to the global financial crisis of 2008–09. Using two-step Limited Information Maximum Likelihood estimation and Murphy-Topel variance estimate, the results show that reachability plays a crucial role in the transposal of distress from one country to another, explaining investor-induced contagion in the Indian stock market.

  11. Price and Volatility Spillovers across North American, European and Asian Stock Markets: With Special Focus on Indian Stock Market

    OpenAIRE

    Priyanka Singh; Brajesh Kumar; Pandey, Ajay

    2008-01-01

    This paper investigates interdependence of fifteen world indices including an Indian market index in terms of return and volatility spillover effect. Interdependence of Indian stock market with other fourteen world markets in terms of long run integration, short run dependence (return spillover) and volatility spillover are investigated. These markets are that of are Canada, China, France, Germany, Hong-Kong, Indonesia, Japan, Korea, Malaysia, Pakistan, Singapore, Taiwan, United Kingdom and U...

  12. Stock market integration and the speed of information transmission

    Czech Academy of Sciences Publication Activity Database

    Černý, Alexandr

    -, č. 242 (2004), s. 1-25 ISSN 1211-3298 R&D Projects: GA AV ČR KSK8002119; GA ČR GA402/04/0270 Institutional research plan: CEZ:AV0Z7085904 Keywords : stock market integration * market comovement * high-frequency data Subject RIV: AH - Economics

  13. A Price Earnings Index for the Danish Stock Market

    DEFF Research Database (Denmark)

    Risager, Ole

    2004-01-01

    Price-earnings ratios are part of the toolkit that is used for assessing the valuation ofindividual firms on the stock market as well as the entire market itself. This paperpresents consistent P/E series for the liquid Danish shares adjusted for share buybacks.The results show that over the period...

  14. The Inefficiency of the Stock Market Equilibrium under Moral Hazard

    NARCIS (Netherlands)

    Calcagno, R.; Wagner, W.B.

    2003-01-01

    In this paper we study the constrained efficiency of a stock market equilibrium under moral hazard.We extend a standard general equilbrium framework (Magill and Quinzii (1999) and (2002)) to allow for a more general initial ownership distribution.We show that the market allocation is constrained

  15. Volatility Spillovers from the Chinese Stock Market to Economic Neighbours

    NARCIS (Netherlands)

    D.E. Allen (David); M.J. McAleer (Michael); R. Amram (Ron)

    2011-01-01

    textabstractThis paper examines whether there is evidence of spillovers of volatility from the Chinese stock market to its neighbours and trading partners, including Australia, Hong Kong, Singapore, Japan and USA. China’s increasing integration into the global market may have important

  16. Are stock market crises contagious? The role of crisis definitions

    NARCIS (Netherlands)

    Mierau, Jochen O.; Mink, Mark

    2013-01-01

    Financial contagion studies generally examine whether co-movement between markets increases during a crisis. We use a flexible co-movement measure to examine how conclusions of such analyses depend on the sample chosen as the 'crisis'. To this end, we analyse stock market co-movement during the 1997

  17. The Impact of Earthquakes on the Domestic Stock Market

    NARCIS (Netherlands)

    Scholtens, Bert; Voorhorst, Yvonne

    How do financial markets respond to the impact of earthquakes? We investigate this for more than 100 earthquakes with fatalities in 21 countries from five continents in the period 1973-2011. Using an event study methodology we conclude that there are significant negative effects on stock market

  18. Stocks for the long run? : Evidence from emerging markets

    NARCIS (Netherlands)

    Spierdijk, Laura; Umar, Zaghum

    2014-01-01

    We estimate the myopic (single-period) and intertemporal hedging (long-run) demand for stocks in 20 growth-leading emerging market economies during the 1999-2012 period. We consider two types of investors: a domestic investor who invests in emerging-market assets only (with returns in local

  19. Legal Protection for Investor in Capital Market Stock Trading

    OpenAIRE

    Sofyan, Tito

    2013-01-01

    Protection for investor is the crucial issue because it has been found many evidence of the misuse of company's resources for extensive period. Moreover, there are also the case of stock lose, case in IPO, short selling, securities fraud, market manipulation, and insider trading. Stock market is abouttrust, if it lose, the market will collpase and it will affect the other sector, mainly economic sector. Undang-UndangNomor 8 Tahun 1995 tentangPasar Modal (UUPM) is one of the legal order to s...

  20. Trade networks evolution under the conditions of stock market globalization

    Directory of Open Access Journals (Sweden)

    Kopylova Olga Volodymyrivna

    2016-12-01

    Full Text Available The modern perception of the stock market in terms of information technologies rapid development and under the institutionalists influence has been significantly modified and becomes multifaceted. It was detected that the main function of the market is activated, information asymmetry is minimized and more advanced financial architecture space is formed through trade networks. Formation of the modern trade networks has started on the basis of the old infrastructure, that had the highest tendency to self-organization and adaptation. The proposed architecture of trade networks of the stock market has a very clear vector of subordination – from top to bottom and has a number of positive points.

  1. The Effects of Market Properties on Portfolio Diversification in the Korean and Japanese Stock Markets

    OpenAIRE

    Cheoljun Eom; Jongwon Park; Woo-Sung Jung; Taisei Kaizoji; Yong H. Kim

    2009-01-01

    In this study, we have investigated empirically the effects of market properties on the degree of diversification of investment weights among stocks in a portfolio. The weights of stocks within a portfolio were determined on the basis of Markowitz's portfolio theory. We identified that there was a negative relationship between the influence of market properties and the degree of diversification of the weights among stocks in a portfolio. Furthermore, we noted that the random matrix theory met...

  2. Stock Market Performance and Pension Fund Investment Policy: Rebalancing, Free Float, or Market Timing

    NARCIS (Netherlands)

    Bikker, J.A.; Broeders, D.W.G.A; de Dreu, J.

    2007-01-01

    This paper is the first that examines the impact of stock market performance on the investment policy of pension funds. We find that stock market prices influence the asset allocation of Dutch pension funds in two ways. In the short term, outperformance of equities over bonds and other investment

  3. The impact of foreign investors on the Serbian stock market

    Directory of Open Access Journals (Sweden)

    Rakočević Rade

    2016-01-01

    Full Text Available Frontier markets, such as Serbia, which are at the early stages of development, are characterized by very low level of solvency, absence of corporate management rules and reports to the public, insufficiently developed regulations, as well as significant participation of foreign portfolio investors in the exchange. Those are usually foreign investment funds specialized in risky investments at such markets; they apply the principle of geographic portfolio diversification in their investment policy. At the Belgrade Stock Exchange, foreign investors have been present at the stock market since 2002 and they participated in high volumes in stock buying during the stock market growth in the period from 2002 to 2007, whereas during the crisis at the Serbian capital market from 2008 to 2010 there was a significant increase in foreign investors' participation on the selling side and a withdrawal from the Belgrade Stock Exchange. Such behavior of foreign investors was initially prompted by local factors, but was intensified by the global financial crisis and will be analyzed in this paper.

  4. The Indian Stock Market and the Great Recession

    Directory of Open Access Journals (Sweden)

    Arindam MANDAL

    2012-03-01

    Full Text Available This study analyzes the impact of the outbreak of the Great Recession of 2007 on the behavior of the Indian stock market. The SENSEX index of the Bombay Stock Exchange is analyzed for the prerecession period of January 2002 – November 2007 and the postrecession outbreak period of December 2007 – July 2010. Substantial increase in SENSEX return volatility observed during the post-recession outbreak period, whereas no substantial difference in returns between two periods is found. Also strong co-movements in returns and volatility are observed between the SENSEX and other major stock indexes during the post-recession period. Our results establish the dominance of global factors in influencing Indian stock market behavior during periods of economic turmoil.

  5. The impact of leverage on stock returns: an empirical test on the Australian stock market

    OpenAIRE

    Thuy Linh, Doan

    2009-01-01

    Asset pricing model is no longer a new topic to theoretical finance but it still maintains researchers’ interest until now. The role of firm characteristics in explaining the stock returns becomes more and more significant in the empirical studies. The Fama French three factor is the most famous model of testing the firm characteristics: size effect and book to market effect on stock returns. However, this model does not include leverage, one of the most important firm characteristics. Starti...

  6. Which global stock indices trigger stronger contagion risk in the Vietnamese stock market? Evidence using a bivariate analysis

    OpenAIRE

    Wang Kuan-Min; Lai Hung-Cheng

    2013-01-01

    This paper extends recent investigations into risk contagion effects on stock markets to the Vietnamese stock market. Daily data spanning October 9, 2006 to May 3, 2012 are sourced to empirically validate the contagion effects between stock markets in Vietnam, and China, Japan, Singapore, and the US. To facilitate the validation of contagion effects with market-related coefficients, this paper constructs a bivariate EGARCH model of dynamic conditional correlation coefficients. Using the...

  7. Application of integrated data mining techniques in stock market forecasting

    Directory of Open Access Journals (Sweden)

    Chin-Yin Huang

    2014-12-01

    Full Text Available Stock market is considered too uncertain to be predictable. Many individuals have developed methodologies or models to increase the probability of making a profit in their stock investment. The overall hit rates of these methodologies and models are generally too low to be practical for real-world application. One of the major reasons is the huge fluctuation of the market. Therefore, the current research focuses in the stock forecasting area is to improve the accuracy of stock trading forecast. This paper introduces a system that addresses the particular need. The system integrates various data mining techniques and supports the decision-making for stock trades. The proposed system embeds the top-down trading theory, artificial neural network theory, technical analysis, dynamic time series theory, and Bayesian probability theory. To experimentally examine the trading return of the presented system, two examples are studied. The first uses the Taiwan Semiconductor Manufacturing Company (TSMC data-set that covers an investment horizon of 240 trading days from 16 February 2011 to 23 January 2013. Eighty four transactions were made using the proposed approach and the investment return of the portfolio was 54% with an 80.4% hit rate during a 12-month period in which the TSMC stock price increased by 25% (from $NT 78.5 to $NT 101.5. The second example examines the stock data of Evergreen Marine Corporation, an international marine shipping company. Sixty four transactions were made and the investment return of the portfolio was 128% in 12 months. Given the remarkable investment returns in trading the example TSMC and Evergreen stocks, the proposed system demonstrates promising potentials as a viable tool for stock market forecasting.

  8. Fractal profit landscape of the stock market.

    Science.gov (United States)

    Grönlund, Andreas; Yi, Il Gu; Kim, Beom Jun

    2012-01-01

    We investigate the structure of the profit landscape obtained from the most basic, fluctuation based, trading strategy applied for the daily stock price data. The strategy is parameterized by only two variables, p and q Stocks are sold and bought if the log return is bigger than p and less than -q, respectively. Repetition of this simple strategy for a long time gives the profit defined in the underlying two-dimensional parameter space of p and q. It is revealed that the local maxima in the profit landscape are spread in the form of a fractal structure. The fractal structure implies that successful strategies are not localized to any region of the profit landscape and are neither spaced evenly throughout the profit landscape, which makes the optimization notoriously hard and hypersensitive for partial or limited information. The concrete implication of this property is demonstrated by showing that optimization of one stock for future values or other stocks renders worse profit than a strategy that ignores fluctuations, i.e., a long-term buy-and-hold strategy.

  9. Legal insider trading and stock market liquidity

    NARCIS (Netherlands)

    Degryse, Hans; de Jong, Frank; Lefebvre, J.J.G.

    This paper assesses the impact of legal trades by corporate insiders on the liquidity of the firm’s stock. For this purpose, we analyze two liquidity measures and one information asymmetry measure. The analysis allows us to study as well the effect of a change in insider trading regulation, namely

  10. Optimization Stock Portfolio With Mean-Variance and Linear Programming: Case In Indonesia Stock Market

    OpenAIRE

    Yen Sun

    2010-01-01

    It is observed that the number of Indonesia’s domestic investor who involved in the stock exchange is very less compare to its total number of population (only about 0.1%). As a result, Indonesia Stock Exchange (IDX) is highly affected by foreign investor that can threat the economy. Domestic investor tends to invest in risk-free asset such as deposit in the bank since they are not familiar yet with the stock market and anxious about the risk (risk-averse type of investor). Therefore, it is i...

  11. Optimization Stock Portfolio With Mean-Variance and Linear Programming: Case In Indonesia Stock Market

    Directory of Open Access Journals (Sweden)

    Yen Sun

    2010-05-01

    Full Text Available It is observed that the number of Indonesia’s domestic investor who involved in the stock exchange is very less compare to its total number of population (only about 0.1%. As a result, Indonesia Stock Exchange (IDX is highly affected by foreign investor that can threat the economy. Domestic investor tends to invest in risk-free asset such as deposit in the bank since they are not familiar yet with the stock market and anxious about the risk (risk-averse type of investor. Therefore, it is important to educate domestic investor to involve in the stock exchange. Investing in portfolio of stock is one of the best choices for risk-averse investor (such as Indonesia domestic investor since it offers lower risk for a given level of return. This paper studies the optimization of Indonesian stock portfolio. The data is the historical return of 10 stocks of LQ 45 for 5 time series (January 2004 – December 2008. It will be focus on selecting stocks into a portfolio, setting 10 of stock portfolios using mean variance method combining with the linear programming (solver. Furthermore, based on Efficient Frontier concept and Sharpe measurement, there will be one stock portfolio picked as an optimum Portfolio (Namely Portfolio G. Then, Performance of portfolio G will be evaluated by using Sharpe, Treynor and Jensen Measurement to show whether the return of Portfolio G exceeds the market return. This paper also illustrates how the stock composition of the Optimum Portfolio (G succeeds to predict the portfolio return in the future (5th January – 3rd April 2009. The result of the study observed that optimization portfolio using Mean-Variance (consistent with Markowitz theory combine with linear programming can be applied into Indonesia stock’s portfolio. All the measurements (Sharpe, Jensen, and Treynor show that the portfolio G is a superior portfolio. It is also been found that the composition (weights stocks of optimum portfolio (G can be used to

  12. News media and the stock market: Assessing mutual relationships : An interdisciplinary multi-method study of financial journalism, news media, emotions, market events and the stock market

    NARCIS (Netherlands)

    Strauß, N.

    2018-01-01

    This dissertation provides insights in explaining the interrelationships between news media and the stock market. First, the results show that first-hand economic news seems to induce stronger, and more immediate stock market reactions than already known public information. Second, public economic

  13. The Indian Stock Market and the Great Recession

    OpenAIRE

    Arindam MANDAL; Prasun BHATTACHARJEE

    2012-01-01

    This study analyzes the impact of the outbreak of the Great Recession of 2007 on the behavior of the Indian stock market. The SENSEX index of the Bombay Stock Exchange is analyzed for the prerecession period of January 2002 – November 2007 and the postrecession outbreak period of December 2007 – July 2010. Substantial increase in SENSEX return volatility observed during the post-recession outbreak period, whereas no substantial difference in returns between two periods is...

  14. New Risk Measure and Idiosyncratic Risk in Taiwan Stock Market

    OpenAIRE

    Yin-Ching Jan; Su-Ling Chiu; Jerry M. C. Wang

    2013-01-01

    Under the model developed by Merton (1987), the idiosyncratic risk would be important to explain the expected stock return. We follow the approach of Daniel and Titman (1998), and use the risk measure developed by Jan and Wang (2012) to examine whether idiosyncratic risk can play an important role in explaining the expected return in Taiwan stock market. We find that beta can¡¯t explain the expected return, and that idiosyncratic risk has a positive relation to expected returns for stocks wit...

  15. Quantifying the effect of investors' attention on stock market.

    Directory of Open Access Journals (Sweden)

    Zhen-Hua Yang

    Full Text Available The investors' attention has been extensively used to predict the stock market. Different from existing proxies of the investors' attention, such as the Google trends, Baidu index (BI, we argue the collective attention from the stock trading platforms could reflect the investors' attention more closely. By calculated the increments of the attention volume for each stock (IAVS from the stock trading platforms, we investigate the effect of investors' attention measured by the IAVS on the movement of the stock market. The experimental results for Chinese Securities Index 100 (CSI100 show that the BI is significantly correlated with the returns of CSI100 at 1% significance level only in 2014. However, it should be emphasized that the correlation of the new proposed measure, namely IAVS, is significantly at 1% significance level in 2014 and 2015. It shows that the effect of the measure IAVS on the movement of the stock market is more stable and significant than BI. This study yields important invest implications and better understanding of collective investors' attention.

  16. Quantifying the effect of investors' attention on stock market.

    Science.gov (United States)

    Yang, Zhen-Hua; Liu, Jian-Guo; Yu, Chang-Rui; Han, Jing-Ti

    2017-01-01

    The investors' attention has been extensively used to predict the stock market. Different from existing proxies of the investors' attention, such as the Google trends, Baidu index (BI), we argue the collective attention from the stock trading platforms could reflect the investors' attention more closely. By calculated the increments of the attention volume for each stock (IAVS) from the stock trading platforms, we investigate the effect of investors' attention measured by the IAVS on the movement of the stock market. The experimental results for Chinese Securities Index 100 (CSI100) show that the BI is significantly correlated with the returns of CSI100 at 1% significance level only in 2014. However, it should be emphasized that the correlation of the new proposed measure, namely IAVS, is significantly at 1% significance level in 2014 and 2015. It shows that the effect of the measure IAVS on the movement of the stock market is more stable and significant than BI. This study yields important invest implications and better understanding of collective investors' attention.

  17. Quantifying the effect of investors’ attention on stock market

    Science.gov (United States)

    Yang, Zhen-Hua; Liu, Jian-Guo; Yu, Chang-Rui; Han, Jing-Ti

    2017-01-01

    The investors’ attention has been extensively used to predict the stock market. Different from existing proxies of the investors’ attention, such as the Google trends, Baidu index (BI), we argue the collective attention from the stock trading platforms could reflect the investors’ attention more closely. By calculated the increments of the attention volume for each stock (IAVS) from the stock trading platforms, we investigate the effect of investors’ attention measured by the IAVS on the movement of the stock market. The experimental results for Chinese Securities Index 100 (CSI100) show that the BI is significantly correlated with the returns of CSI100 at 1% significance level only in 2014. However, it should be emphasized that the correlation of the new proposed measure, namely IAVS, is significantly at 1% significance level in 2014 and 2015. It shows that the effect of the measure IAVS on the movement of the stock market is more stable and significant than BI. This study yields important invest implications and better understanding of collective investors’ attention. PMID:28542216

  18. A fuzzy logic model to forecast stock market momentum in Indonesia's property and real estate sector

    Science.gov (United States)

    Penawar, H. K.; Rustam, Z.

    2017-07-01

    The Capital market has the important role in Indonesia's economy. The capital market does not only support the economy of Indonesia but also being an indicator Indonesia's economy improvement. Something that has been traded in the capital market is stock (stock market). Nowadays, the stock market is full of uncertainty. That uncertainty values make predicting stock market is all that we have to do before we make a decision in the stock market. One that can be predicted in the stock market is momentum. To forecast stock market momentum, it can use fuzzy logic model. In the process of modeling, it will be used 14 days historical data that consisting the value of open, high, low, and close, to predict the next 5 days momentum categories. There are three momentum categories namely Bullish, Neutral, and Bearish. To illustrate the fuzzy logic model, we will use stocks data from several companies that listed on Indonesia Stock Exchange (IDX) in property and real estate sector.

  19. Quantifying the semantics of search behavior before stock market moves.

    Science.gov (United States)

    Curme, Chester; Preis, Tobias; Stanley, H Eugene; Moat, Helen Susannah

    2014-08-12

    Technology is becoming deeply interwoven into the fabric of society. The Internet has become a central source of information for many people when making day-to-day decisions. Here, we present a method to mine the vast data Internet users create when searching for information online, to identify topics of interest before stock market moves. In an analysis of historic data from 2004 until 2012, we draw on records from the search engine Google and online encyclopedia Wikipedia as well as judgments from the service Amazon Mechanical Turk. We find evidence of links between Internet searches relating to politics or business and subsequent stock market moves. In particular, we find that an increase in search volume for these topics tends to precede stock market falls. We suggest that extensions of these analyses could offer insight into large-scale information flow before a range of real-world events.

  20. A quantum anharmonic oscillator model for the stock market

    Science.gov (United States)

    Gao, Tingting; Chen, Yu

    2017-02-01

    A financially interpretable quantum model is proposed to study the probability distributions of the stock price return. The dynamics of a quantum particle is considered an analog of the motion of stock price. Then the probability distributions of price return can be computed from the wave functions that evolve according to Schrodinger equation. Instead of a harmonic oscillator in previous studies, a quantum anharmonic oscillator is applied to the stock in liquid market. The leptokurtic distributions of price return can be reproduced by our quantum model with the introduction of mixed-state and multi-potential. The trend following dominant market, in which the price return follows a bimodal distribution, is discussed as a specific case of the illiquid market.

  1. An Agent-Based Computational Model for China’s Stock Market and Stock Index Futures Market

    Directory of Open Access Journals (Sweden)

    Hai-Chuan Xu

    2014-01-01

    Full Text Available This study presents an agent-based computational cross market model for Chinese equity market structure, which includes both stocks and CSI 300 index futures. In this model, we design several stocks and one index future to simulate this structure. This model allows heterogeneous investors to make investment decisions with restrictions including wealth, market trading mechanism, and risk management. Investors’ demands and order submissions are endogenously determined. Our model successfully reproduces several key features of the Chinese financial markets including spot-futures basis distribution, bid-ask spread distribution, volatility clustering, and long memory in absolute returns. Our model can be applied in cross market risk control, market mechanism design, and arbitrage strategies analysis.

  2. Can investor sentiment be used to predict the stock price? Dynamic analysis based on China stock market

    Science.gov (United States)

    Guo, Kun; Sun, Yi; Qian, Xin

    2017-03-01

    With the development of the social network, the interaction between investors in stock market became more fast and convenient. Thus, investor sentiment which can influence their investment decisions may be quickly spread and magnified through the network, and to a certain extent the stock market can be affected. This paper collected the user comments data from a popular professional social networking site of China stock market called Xueqiu, then the investor sentiment data can be obtained through semantic analysis. The dynamic analysis on relationship between investor sentiment and stock market is proposed based on Thermal Optimal Path (TOP) method. The results show that the sentiment data was not always leading over stock market price, and it can be used to predict the stock price only when the stock has high investor attention.

  3. An autocatalytic network model for stock markets

    Science.gov (United States)

    Caetano, Marco Antonio Leonel; Yoneyama, Takashi

    2015-02-01

    The stock prices of companies with businesses that are closely related within a specific sector of economy might exhibit movement patterns and correlations in their dynamics. The idea in this work is to use the concept of autocatalytic network to model such correlations and patterns in the trends exhibited by the expected returns. The trends are expressed in terms of positive or negative returns within each fixed time interval. The time series derived from these trends is then used to represent the movement patterns by a probabilistic boolean network with transitions modeled as an autocatalytic network. The proposed method might be of value in short term forecasting and identification of dependencies. The method is illustrated with a case study based on four stocks of companies in the field of natural resource and technology.

  4. Black swans in the brazilian stock market

    Directory of Open Access Journals (Sweden)

    Hugo Jacob Lovisolo

    2013-08-01

    Full Text Available This study analyzes extreme values in the daily returns of 45 Brazilian stocks between 2 January 1995 and 18 March 2009. The incidence of observations outside the range of three standard deviationsfrom the mean is at least five times greater than under the normal distribution. The occurrence of extreme values in the upper tail is 1.13 times higher than in the lower. The average of the extreme positive returns is higher than that of extreme negative returns. Half percent of the days determined the outcome of the investment. Extreme values are at least ± 7%. Investors should assess whether they will keep their holdings when returns of such magnitude occur. The characteristics of empirical distributions of stock returns favor the passive investor and the use of weight constraints in portfolio allocation models.

  5. Merger negotiations with stock market feedback

    OpenAIRE

    Betton, Sandra; Eckbo, B. Espen; Thompson, Rex; Thorburn, Karin S.

    2011-01-01

    Merger negotiations routinely occur amidst economically significant a target stock price runups. Since the source of the runup is unobservable (is it a target stand-alone value change and/or deal anticipation?), feeding the runup back into the offer price risks "paying twice" for the target shares. We present a novel structural empirical analysis of this runup feedback hypothesis. We show that rational deal anticipation implies a nonlinear relationship between the runup and the offer price ma...

  6. Which global stock indices trigger stronger contagion risk in the Vietnamese stock market? Evidence using a bivariate analysis

    Directory of Open Access Journals (Sweden)

    Wang Kuan-Min

    2013-01-01

    Full Text Available This paper extends recent investigations into risk contagion effects on stock markets to the Vietnamese stock market. Daily data spanning October 9, 2006 to May 3, 2012 are sourced to empirically validate the contagion effects between stock markets in Vietnam, and China, Japan, Singapore, and the US. To facilitate the validation of contagion effects with market-related coefficients, this paper constructs a bivariate EGARCH model of dynamic conditional correlation coefficients. Using the correlation contagion test and Dungey et al.’s (2005 contagion test, we find contagion effects between the Vietnamese and four other stock markets, namely Japan, Singapore, China, and the US. Second, we show that the Japanese stock market causes stronger contagion risk in the Vietnamese stock market compared to the stock markets of China, Singapore, and the US. Finally, we show that the Chinese and US stock markets cause weaker contagion effects in the Vietnamese stock market because of stronger interdependence effects between the former two markets.

  7. A Two Population Model for the Stock Market Problem

    Science.gov (United States)

    Skiadas, Christos H.

    The development of the last year disaster in the Stock Markets all over the world gave rise to reconsidering the previous models used. It is clear that, even in an organized international or national context, large fluctuations and sudden losses may occur. This paper explores a two populations' model. The populations are conflicting into the same environment (a Stock Market) by following the main rules present, that is mutual interaction between adopters, potential adopters, word-of-mouth communication and of course by taking into consideration the innovation diffusion process. The proposed model has special futures expressed by third order terms providing characteristic stationary points.

  8. Is political risk still an issue for Turkish stock market?

    Directory of Open Access Journals (Sweden)

    Samet Günay

    2016-03-01

    Full Text Available In this study, we analyze the effects of internal political risk on the Turkish stock market in the period of 2001–2014. Empirical analyses are conducted through various methods to obtain breaks and regimes in the return volatilities of the BIST100 index. According to the results, while the number of breaks has increased in recent years, the risk level of recent periods is significantly lower than the early regimes, and the risk level trend for all regimes show a negative slope. In conclusion, the Turkish stock market responds to political events, but according to our results, not as significantly as in the past.

  9. Assessment of 48 Stock markets using adaptive multifractal approach

    Science.gov (United States)

    Ferreira, Paulo; Dionísio, Andreia; Movahed, S. M. S.

    2017-11-01

    In this paper, Stock market comovements are examined using cointegration, Granger causality tests and nonlinear approaches in context of mutual information and correlations. Since underlying data sets are affected by non-stationarities and trends, we also apply Adaptive Multifractal Detrended Fluctuation Analysis (AMF-DFA) and Adaptive Multifractal Detrended Cross-Correlation Analysis (AMF-DXA). We find only 170 pair of Stock markets cointegrated, and according to the Granger causality and mutual information, we realize that the strongest relations lies between emerging markets, and between emerging and frontier markets. According to scaling exponent given by AMF-DFA, h(q = 2) > 1, we find that all underlying data sets belong to non-stationary process. According to Efficient Market Hypothesis (EMH), only 8 markets are classified in uncorrelated processes at 2 σ confidence interval. 6 Stock markets belong to anti-correlated class and dominant part of markets has memory in corresponding daily index prices during January 1995 to February 2014. New-Zealand with H = 0 . 457 ± 0 . 004 and Jordan with H = 0 . 602 ± 0 . 006 are far from EMH. The nature of cross-correlation exponents based on AMF-DXA is almost multifractal for all pair of Stock markets. The empirical relation, Hxy ≤ [Hxx +Hyy ] / 2, is confirmed. Mentioned relation for q > 0 is also satisfied while for q behavior of markets for small fluctuations is affected by contribution of major pair. For larger fluctuations, the cross-correlation contains information from both local (internal) and global (external) conditions. Width of singularity spectrum for auto-correlation and cross-correlation are Δαxx ∈ [ 0 . 304 , 0 . 905 ] and Δαxy ∈ [ 0 . 246 , 1 . 178 ] , respectively. The wide range of singularity spectrum for cross-correlation confirms that the bilateral relation between Stock markets is more complex. The value of σDCCA indicates that all pairs of stock market studied in this time interval

  10. Stock or stroke? Stock market movement and stroke incidence in Taiwan.

    Science.gov (United States)

    Chen, Chun-Chih; Chen, Chin-Shyan; Liu, Tsai-Ching; Lin, Ying-Tzu

    2012-12-01

    This paper investigates the impact of stock market movement on incidences of stroke utilizing population-based aggregate data in Taiwan. Using the daily data from the Taiwan Stock Exchange Capitalization Weighted Stock Index and from the National Health Insurance Research Database during 2001/1/1-2007/12/31, which consist of 2556 observations, we examine the effects of stock market on stroke incidence - the level effect and the daily change effects. In general, we find that both a low stock index level and a daily fall in the stock index are associated with greater incidences of stroke. We further partition the data on sex and age. The level effect is found to be significant for either gender, in the 45-64 and 65 ≥ age groups. In addition, two daily change effects are found to be significant for males and the elderly. Although stockholdings can increase wealth, they can also increase stroke incidence, thereby representing a cost to health. Copyright © 2012 Elsevier Ltd. All rights reserved.

  11. Portfolio volatility of Islamic and conventional stock: The case of Indonesia stock market

    Directory of Open Access Journals (Sweden)

    Aldrin Herwany

    2013-12-01

    Full Text Available Conventional finance suggests that the higher the risk of an investment, the higher the return it should give. Nevertheless, whether Islamic stocks that offer alternative investment in the stock market suggest different risk-return relationship still needs to be investigated. This empirical study is aimed at assessing risk-return behavior of Islamic stocks. This study employs cross sectional data of portfolio developed using beta-rank and market capitalization, in which daily data will better reflect the real volatility. This study also measures volatility of both conventional and Islamic stocks using Value-at-Risk (VaR. To check whether Islamic stocks are immune from any impact of financial crisis, this study utilizes three periods of observation, i.e., before, during and after the 2008 crisis. This study assesses risk and return using Multi-index model, in which variables tested are the respective fundamental factors. Results of this study will provide more accurate approach in Islamic stocks analysis.

  12. Testing for multifractality of Islamic stock markets

    Science.gov (United States)

    Saâdaoui, Foued

    2018-04-01

    Studying the power-law scaling of financial time series is a promising area of econophysics, which has often contributed to the understanding of the intricate features of the global markets. In this article, we examine the multifractality of some financial processes and the underlying formation mechanisms in the context of Islamic equity markets. The well-known Multifractal Detrended Fluctuation Analysis (MF-DFA) is used to investigate the self-similar properties of two Dow Jones Islamic Market Indexes (DJIM). The results prove that both indexes exhibit multifractal properties. By discussing the sources of multifractality, we find that they are related to the occurrence of extreme events, long-range dependency of autocorrelations and fat-tailed distribution of returns. These results have several important implications for analysts and decision makers in modeling the dynamics of Islamic markets, thus recommending efficient asset allocation plans to investors dealing with Islamic equity markets.

  13. 51 The Role of Stock Market Development on Economic Growth in ...

    African Journals Online (AJOL)

    User

    2012-01-24

    Jan 24, 2012 ... An International Multidisciplinary Journal, Ethiopia ... study measures the relationship between stock market development indices ... The stock market capitalization ratio was used as a ... market performance and economic growth. ... With well-functional financial sector or banking sector, stock markets can.

  14. Black swans in the brazilian stock market

    OpenAIRE

    Lovisolo,Hugo Jacob; Leal,Ricardo Pereira Câmara

    2013-01-01

    This study analyzes extreme values in the daily returns of 45 Brazilian stocks between 2 January 1995 and 18 March 2009. The incidence of observations outside the range of three standard deviationsfrom the mean is at least five times greater than under the normal distribution. The occurrence of extreme values in the upper tail is 1.13 times higher than in the lower. The average of the extreme positive returns is higher than that of extreme negative returns. Half percent of the days determined...

  15. The overnight effect on the Taiwan stock market

    Science.gov (United States)

    Tsai, Kuo-Ting; Lih, Jiann-Shing; Ko, Jing-Yuan

    2012-12-01

    This study examines statistical regularities among three components of stocks and indices: daytime (trading hour) return, overnight (off-hour session) return, and total (close-to-close) return. Owing to the fact that the Taiwan Stock Exchange (TWSE) has the longest non-trading periods among major markets, the TWSE is selected to explore the correlation among the three components and compare it with major markets such as the New York Stock Exchange (NYSE) and the National Association of Securities Dealers Automated Quotation (NASDAQ). Analysis results indicate a negative cross correlation between the sign of daytime return and the sign of overnight return; possibly explaining why most stocks feature a negative cross correlation between daytime return and overnight return [F. Wang, S.-J. Shieh, S. Havlin, H.E. Stanley, Statistical analysis of the overnight and daytime return, Phys. Rev. E 79 (2009) 056109]. Additionally, the cross correlation between the magnitude of returns is analyzed. According to those results, a larger magnitude of overnight return implies a higher probability that the sign of the following daytime return is the opposite of the sign of overnight return. Namely, the predictability of daytime return might be improved when a stock undergoes a large magnitude of overnight return. Furthermore, the cross correlations of 29 indices of worldwide markets are discussed.

  16. Stroke: a Hidden Danger of Margin Trading in Stock Markets.

    Science.gov (United States)

    Lin, Shu-Hui; Wang, Chien-Ho; Liu, Tsai-Ching; Chen, Chin-Shyan

    2015-10-01

    Using 10-year population data from 2000 through 2009 in Taiwan, this is the first paper to analyze the relationship between margin trading in stock markets and stroke hospitalizations. The results show that 3 and 6 days after an increase of margin trading in the Taiwan stock markets are associated with greater stoke hospitalizations. In general, a 1 % increase in total margin trading positions is associated with an increment of 2.5 in the total number of stroke hospitalizations, where the mean number of hospital admissions is 233 cases a day. We further examine the effects of margin trading by gender and age groups and find that the effects of margin trading are significant for males and those who are 45-74 years old only. In summary, buying stocks with money you do not have is quite risky, especially if the prices of those stocks fall past a certain level or if there is a sudden and severe drop in the stock market. There is also a hidden danger to one's health from margin trading. A person should be cautious before conducting margin trading, because while it can be quite profitable, danger always lurks just around the corner.

  17. The Market Efficiency of the Stock Market in India

    OpenAIRE

    Rahman, Sahnawaz

    2011-01-01

    The greatest and engendering event in the Twenty first century is capital and financial market revolution and reformation especially for India. Efficient Market Hypothesis has attracted numbers of studies in empirical finance particularly in determining the market efficiency of an emerging financial market which produced conflicting and inconclusive outcomes. This paper tests the efficiency of the Indian Capital Market in its semi-strong form and weak form of Efficient Market Hypothesis (EMH)...

  18. Changes of hierarchical network in local and world stock market

    Science.gov (United States)

    Patwary, Enayet Ullah; Lee, Jong Youl; Nobi, Ashadun; Kim, Doo Hwan; Lee, Jae Woo

    2017-10-01

    We consider the cross-correlation coefficients of the daily returns in the local and global stock markets. We generate the minimal spanning tree (MST) using the correlation matrix. We observe that the MSTs change their structure from chain-like networks to star-like networks during periods of market uncertainty. We quantify the measure of the hierarchical network utilizing the value of the hierarchy measured by the hierarchical path. The hierarchy and betweenness centrality characterize the state of the market regarding the impact of crises. During crises, the non-financial company is established as the central node of the MST. However, before the crisis and during stable periods, the financial company is occupying the central node of the MST in the Korean and the U.S. stock markets. The changes in the network structure and the central node are good indicators of an upcoming crisis.

  19. Stock markets and criticality in the current economic crisis

    Science.gov (United States)

    da Silva, Roberto; Zembrzuski, Marcelo; Correa, Fabio C.; Lamb, Luis C.

    2010-12-01

    We show that the current economic crisis has led the market to exhibit a non-critical behavior. We do so by analyzing the quantitative parameters of time series from the main assets of the Brazilian Stock Market BOVESPA. By monitoring global persistence we show a deviation of power law behavior during the crisis in a strong analogy with spin systems (from where this concept was originally conceived). Such behavior is corroborated by an emergent heavy tail of absolute return distribution and also by the magnitude autocorrelation exponent. Comparisons with universal exponents obtained in the international stock markets are also performed. This suggests how a thorough analysis of suitable exponents can bring a possible way of forecasting market crises characterized by non-criticality.

  20. Cointegration-based financial networks study in Chinese stock market

    Science.gov (United States)

    Tu, Chengyi

    2014-05-01

    We propose a method based on cointegration instead of correlation to construct financial complex network in Chinese stock market. The network is obtained starting from the matrix of p-value calculated by Engle-Granger cointegration test between all pairs of stocks. Then some tools for filtering information in complex network are implemented to prune the complete graph described by the above matrix, such as setting a level of statistical significance as a threshold and Planar Maximally Filtered Graph. We also calculate Partial Correlation Planar Graph of these stocks to compare the above networks. Last, we analyze these directed, weighted and non-symmetric networks by using standard methods of network analysis, including degree centrality, PageRank, HITS, local clustering coefficient, K-shell and strongly and weakly connected components. The results shed a new light on the underlying mechanisms and driving forces in a financial market and deepen our understanding of financial complex network.

  1. Machine learning in sentiment reconstruction of the simulated stock market

    Science.gov (United States)

    Goykhman, Mikhail; Teimouri, Ali

    2018-02-01

    In this paper we continue the study of the simulated stock market framework defined by the driving sentiment processes. We focus on the market environment driven by the buy/sell trading sentiment process of the Markov chain type. We apply the methodology of the Hidden Markov Models and the Recurrent Neural Networks to reconstruct the transition probabilities matrix of the Markov sentiment process and recover the underlying sentiment states from the observed stock price behavior. We demonstrate that the Hidden Markov Model can successfully recover the transition probabilities matrix for the hidden sentiment process of the Markov Chain type. We also demonstrate that the Recurrent Neural Network can successfully recover the hidden sentiment states from the observed simulated stock price time series.

  2. Identifying the Bottom Line after a Stock Market Crash

    Science.gov (United States)

    Roehner, B. M.

    In this empirical paper we show that in the months following a crash there is a distinct connection between the fall of stock prices and the increase in the range of interest rates for a sample of bonds. This variable, which is often referred to as the interest rate spread variable, can be considered as a statistical measure for the disparity in lenders' opinions about the future; in other words, it provides an operational definition of the uncertainty faced by economic agents. The observation that there is a strong negative correlation between stock prices and the spread variable relies on the examination of eight major crashes in the United States between 1857 and 1987. That relationship which has remained valid for one and a half century in spite of important changes in the organization of financial markets can be of interest in the perspective of Monte Carlo simulations of stock markets.

  3. Stock market integration and the speed of information transmission

    Czech Academy of Sciences Publication Activity Database

    Černý, Alexandr; Koblas, M.

    2008-01-01

    Roč. 58, 1-2 (2008), s. 2-20 ISSN 0015-1920 R&D Projects: GA MŠk LC542 Institutional research plan: CEZ:AV0Z70850503 Keywords : stock market integration * market comovement * intra-day data Subject RIV: AH - Economics Impact factor: 0.275, year: 2008 http://journal.fsv.cuni.cz/storage/1098_str_2_20_-_cerny-koblas.pdf

  4. Privatization, political risk and stock market development in emerging economies

    OpenAIRE

    Perotti, E.C.; van Oijen, P.H.

    1999-01-01

    This paper investigates whether privatization in emerging economies has a significant indirect effect on local stock market development through the resolution of political risk. We argue that a sustained privatization program represents a major political test that gradually resolves uncertainty over political commitment to a market-oriented policy as well as to regulatory and private property rights. We present evidence suggesting that progress in privatization is indeed correlated with impro...

  5. Tax Revenue, Stock Market and Economic Growth of Pakistan

    OpenAIRE

    Muhammad Irfan Javaid Attari; Roshaiza Taha; Muhammad Imran Farooq

    2014-01-01

    The purpose of this paper is to examine the effects of capital market and fiscal policy influences in determining the nexus of economic growth in Pakistan from July 2003 to July 2012. The authors utilize ADF unit root test, Johansen Cointegration test, VECM test, Granger causality test and variance decomposition analysis to test the relationship among tax revenue, stock market and economic growth in Pakistan. Granger causality analysis is used to answer questions whether “Does tax revenue cau...

  6. 136 Tax Revenue, Stock Market and Economic Growth of Pakistan

    OpenAIRE

    Muhammad Irfan Javaid Attari; Roshaiza Taha; Muhammad Imran Farooq

    2014-01-01

    The purpose of this paper is to examine the effects of capital market and fiscal policy influences in determining the nexus of economic growth in Pakistan from July 2003 to July 2012. The authors utilize ADF unit root test, Johansen Cointegration test, VECM test, Granger causality test and variance decomposition analysis to test the relationship among tax revenue, stock market and economic growth in Pakistan. Granger causality analysis is used to answer questions whether “Does ...

  7. Comparing Neural Networks and ARMA Models in Artificial Stock Market

    Czech Academy of Sciences Publication Activity Database

    Krtek, Jiří; Vošvrda, Miloslav

    2011-01-01

    Roč. 18, č. 28 (2011), s. 53-65 ISSN 1212-074X R&D Projects: GA ČR GD402/09/H045 Institutional research plan: CEZ:AV0Z10750506 Keywords : neural networks * vector ARMA * artificial market Subject RIV: AH - Economics http://library.utia.cas.cz/separaty/2011/E/krtek-comparing neural networks and arma models in artificial stock market.pdf

  8. Testing for long-range dependence in world stock markets

    OpenAIRE

    Cajueiro, Daniel Oliveira; Tabak, Benjamin Miranda

    2008-01-01

    In this paper, we show a novel approach to rank stock market indices in terms of weak form efficiency using state of the art methodology in statistical physics. We employ the R/S and V/S methodologies to test for long-range dependence in equity returns and volatility. Empirical results suggests that although emerging markets possess stronger long-range dependence in equity returns than developed economies, this is not true for volatility. In the case of volatility, Hurst exponents...

  9. Nonparametric Efficiency Testing of Asian Stock Markets Using Weekly Data

    OpenAIRE

    CORNELIS A. LOS

    2004-01-01

    The efficiency of speculative markets, as represented by Fama's 1970 fair game model, is tested on weekly price index data of six Asian stock markets - Hong Kong, Indonesia, Malaysia, Singapore, Taiwan and Thailand - using Sherry's (1992) non-parametric methods. These scientific testing methods were originally developed to analyze the information processing efficiency of nervous systems. In particular, the stationarity and independence of the price innovations are tested over ten years, from ...

  10. Time-varying synchronization of European stock markets

    Czech Academy of Sciences Publication Activity Database

    Égert, B.; Kočenda, Evžen

    2011-01-01

    Roč. 40, č. 2 (2011), s. 394-407 ISSN 0377-7332 R&D Projects: GA ČR(CZ) GA402/08/1376; GA MŠk LC542 Institutional research plan: CEZ:MSM0021620846 Keywords : stock markets * intraday data * comovements Subject RIV: AH - Economics Impact factor: 0.597, year: 2011

  11. Privatization, political risk and stock market development in emerging economies

    NARCIS (Netherlands)

    Perotti, E.C.; van Oijen, P. H.

    2001-01-01

    This paper investigates whether privatization in emerging economies has a significant indirect effect on local stock market development through the resolution of political risk. We argue that a sustained privatization program represents a major political test that gradually resolves uncertainty over

  12. Style investing : behavioral explanations of stock market anomalies

    NARCIS (Netherlands)

    Wouters, T.

    2006-01-01

    Abstract PhD-project The aim of this thesis is to explore the mechanisms of style investing. My project consists of two parts, each with an individual goal: 1. The first objective will be to analyze the implications of the dynamics of value and growth strategies for the US stock market. 2. The

  13. Contagion as Domino Effect in Global Stock Markets

    NARCIS (Netherlands)

    T.D. Markwat (Thijs); H.J.W.G. Kole (Erik); D.J.C. van Dijk (Dick)

    2008-01-01

    textabstractThis paper shows that stock market contagion operates through a domino effect, where small crashes evolve into more severe crashes. Using a novel unifying framework we model the occurrence of local, regional and global crashes in terms of past occurrences of these different crashes and

  14. Institutional Forecasting: The Performance of Thin Virtual Stock Markets

    NARCIS (Netherlands)

    G.H. van Bruggen (Gerrit); M. Spann (Martin); G.L. Lilien (Gary); B. Skiera (Bernd)

    2006-01-01

    textabstractWe study the performance of Virtual Stock Markets (VSMs) in an institutional forecasting environment. We compare VSMs to the Combined Judgmental Forecast (CJF) and the Key Informant (KI) approach. We find that VSMs can be effectively applied in an environment with a small number of

  15. The Value Premium on the Danish Stock Market

    DEFF Research Database (Denmark)

    Risager, Ole

    2005-01-01

    research on this issue. The purpose of this paper is to report evidence for the Danish stock market and to test whether the value premium is a genuine long-term feature of the market or just a phenomenon that pops up now and then. To research this issue we have collected accounting and stock market data......A number of influential studies have documented a strong value premium for US stocks over the period 1963 to 1990 (Fama and French (1992), Lakonishok et al. (1994)). Stocks with low price-earnings multiples, price-book values and other measures of value are reported to have given a higher mean...... return than the high multiple growth firms. Work by Basu (1997) and others have shown that the value dominance is also a feature of the earlier market history of the United States. The value premium is reported also to exist in a number of other countries over the period 1975 to 1995 (Fama and French...

  16. Risk-Return Trade-Off for European Stock Markets

    DEFF Research Database (Denmark)

    Aslanidis, Nektarios; Christiansen, Charlotte; Savva, Christos S.

    This paper adopts dynamic factor models with macro-finance predictors to revisit the intertemporal risk-return relation in five large European stock markets. We identify country specific, Euro area, and global factors to determine the conditional moments of returns considering the role of higher...

  17. Manipulation in political stock markets: Preconditions and evidence

    OpenAIRE

    Hansen, Jan; Schmidt, Carsten; Strobel, Martin

    2001-01-01

    Political stock markets (PSM) are sometimes seen as substitutes for opinion polls. On the bases of a behavioral model, specific preconditions were drawn out under which manipulation in PSM can weaken this argument. Evidence for manipulation is reported from the data of two separate PSM during the Berlin 99 state elections.

  18. Foreign news and spillovers in emerging European stock markets

    Czech Academy of Sciences Publication Activity Database

    Hanousek, Jan; Kočenda, E.

    2011-01-01

    Roč. 19, č. 1 (2011), s. 170-188 ISSN 0965-7576 R&D Projects: GA ČR(CZ) GAP403/11/0020; GA MŠk LC542 Institutional research plan: CEZ:MSM0021620846 Keywords : emerging European stock market s * foreign news * intraday data Subject RIV: AH - Economics Impact factor: 0.631, year: 2011

  19. Foreign news and spillovers in emerging European stock markets

    Czech Academy of Sciences Publication Activity Database

    Hanousek, J.; Kočenda, Evžen

    2011-01-01

    Roč. 19, č. 1 (2011), s. 170-188 ISSN 0965-7576 Institutional research plan: CEZ:AV0Z70850503 Keywords : emerging European stock market s * foreign news * intraday data Subject RIV: AH - Economics Impact factor: 0.631, year: 2011

  20. Does automation improve stock market efficiency in Ghana ...

    African Journals Online (AJOL)

    The automation of the Ghana Stock Exchange (GSE) in 2008, among other reforms, was expected to improve the efficiency of the market. The extent of this truism has, however, not been empirically established for the GSE. In this study, we attempt to assess the impact of the automation on the efficiency of the GSE within the ...

  1. The Price of Commodity Risk in Stock and Futures Markets

    NARCIS (Netherlands)

    M. Boons (Martijn); F.A. de Roon (Frans); M.K. Szymanowska (Marta)

    2014-01-01

    textabstractWe find that commodity risk is priced in the cross-section of US stock returns. Following the financialization of commodities, investors hedge commodity price risk directly in the futures market, primarily via commodity index investments, whereas before they gained commodity exposure

  2. Privatization, political risk and stock market development in emerging economies

    NARCIS (Netherlands)

    Perotti, E.C.; van Oijen, P.H.

    1999-01-01

    This paper investigates whether privatization in emerging economies has a significant indirect effect on local stock market development through the resolution of political risk. We argue that a sustained privatization program represents a major political test that gradually resolves uncertainty over

  3. Development of stock markets, societal norms and legal institutions

    NARCIS (Netherlands)

    Garretsen, Harry; Lensink, Robert; Sterken, Elmer

    2000-01-01

    We explain the development of stock markets by both legal and societal determinants and analyze the relevance of both determinants in the Levine-Zervos (1998) cross-sectional growth regressions. We argue that the legal indicators as developed by La Porta, Lopez-de-Silanes, Shleifer and Vishny (1998)

  4. Financial liberalization and stock market cross-correlation: MF-DCCA analysis based on Shanghai-Hong Kong Stock Connect

    Science.gov (United States)

    Ruan, Qingsong; Zhang, Shuhua; Lv, Dayong; Lu, Xinsheng

    2018-02-01

    Based on the implementation of Shanghai-Hong Kong Stock Connect in China, this paper examines the effects of financial liberalization on stock market comovement using both multifractal detrended fluctuation analysis (MF-DFA) and multifractal detrended cross-correlation analysis (MF-DCCA) methods. Results based on MF-DFA confirm the multifractality of Shanghai and Hong Kong stock markets, and the market efficiency of Shanghai stock market increased after the implementation of this connect program. Besides, analysis based on MF-DCCA has verified the existence of persistent cross-correlation between Shanghai and Hong Kong stock markets, and the cross-correlation gets stronger after the launch of this liberalization program. Finally, we find that fat-tail distribution is the main source of multifractality in the cross-correlations before the stock connect program, while long-range correlation contributes to the multifractality after this program.

  5. Do structural oil-market shocks affect stock prices?

    International Nuclear Information System (INIS)

    Apergis, Nicholas; Miller, Stephen M.

    2009-01-01

    This paper investigates how explicit structural shocks that characterize the endogenous character of oil price changes affect stock-market returns in a sample of eight countries - Australia, Canada, France, Germany, Italy, Japan, the United Kingdom, and the United States. For each country, the analysis proceeds in two steps. First, modifying the procedure of Kilian [Not All Oil Price Shocks are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market. American Economic Review.], we employ a vector error-correction or vector autoregressive model to decompose oil-price changes into three components: oil-supply shocks, global aggregate-demand shocks, and global oil-demand shocks. The last component relates to specific idiosyncratic features of the oil market, such as changes in the precautionary demand concerning the uncertainty about the availability of future oil supplies. Second, recovering the oil-supply shocks, global aggregate-demand shocks, and global oil-demand shocks from the first analysis, we then employ a vector autoregressive model to determine the effects of these structural shocks on the stock market returns in our sample of eight countries. We find that international stock market returns do not respond in a large way to oil market shocks. That is, the significant effects that exist prove small in magnitude. (author)

  6. NEURAL NETWORKS FOR STOCK MARKET OPTION PRICING

    Directory of Open Access Journals (Sweden)

    Sergey A. Sannikov

    2017-03-01

    Full Text Available Introduction: The use of neural networks for non-linear models helps to understand where linear model drawbacks, coused by their specification, reveal themselves. This paper attempts to find this out. The objective of research is to determine the meaning of “option prices calculation using neural networks”. Materials and Methods: We use two kinds of variables: endogenous (variables included in the model of neural network and variables affecting on the model (permanent disturbance. Results: All data are divided into 3 sets: learning, affirming and testing. All selected variables are normalised from 0 to 1. Extreme values of income were shortcut. Discussion and Conclusions: Using the 33-14-1 neural network with direct links we obtained two sets of forecasts. Optimal criteria of strategies in stock markets’ option pricing were developed.

  7. Multivariate Markov chain modeling for stock markets

    Science.gov (United States)

    Maskawa, Jun-ichi

    2003-06-01

    We study a multivariate Markov chain model as a stochastic model of the price changes of portfolios in the framework of the mean field approximation. The time series of price changes are coded into the sequences of up and down spins according to their signs. We start with the discussion for small portfolios consisting of two stock issues. The generalization of our model to arbitrary size of portfolio is constructed by a recurrence relation. The resultant form of the joint probability of the stationary state coincides with Gibbs measure assigned to each configuration of spin glass model. Through the analysis of actual portfolios, it has been shown that the synchronization of the direction of the price changes is well described by the model.

  8. 77 FR 52373 - Self-Regulatory Organizations; NASDAQ Stock Market, LLC; Notice of Filing and Immediate...

    Science.gov (United States)

    2012-08-29

    ...-Regulatory Organizations; NASDAQ Stock Market, LLC; Notice of Filing and Immediate Effectiveness of Proposed Rule Change Relating to Membership in The NASDAQ Stock Market LLC August 23, 2012. Pursuant to Section... is hereby given that on August [[Page 52374

  9. Granger Causality between Stock Market and Macroeconomic Indicators: Evidence from Germany

    Directory of Open Access Journals (Sweden)

    Tomáš Plíhal

    2016-01-01

    Full Text Available The aim of this paper is to investigate informational efficiency of the stock market in Germany. Granger causality between the stock market and the selected macroeconomic variables is investigated by bivariate analysis using Toda-Yamamoto (1995 approach. This study focuses on monthly data from January 1999 to September 2015, and the stock market is represented by blue chip stock market index DAX. Investigated macroeconomic indicators include industrial production, inflation, money supply, interest rate, trade balance and exchange rate. Stock market Granger-causes industrial production and interest rate, and is therefore leading indicator of these variables. Between money supply and stock prices is Granger causality in both directions. Other variables seem to be independent on development of the stock market. We do not find any violation of Efficient market hypothesis which indicates that the stock market in Germany is informational efficient.

  10. The relevance of accounting in a stock market bubble : Evidence from internet IPO's

    NARCIS (Netherlands)

    Bhattacharya, N.; Demers, E.; Joos, P.P.M.

    2010-01-01

    Prior research shows that accounting information is relevant for stock valuation, failure prediction, performance evaluation, optimal contracting, and other decision-making contexts in relatively stable market settings. By contrast, accounting's role during stock market bubbles such as those

  11. Daily Market News Sentiment and Stock Prices

    NARCIS (Netherlands)

    D.E. Allen (David); M.J. McAleer (Michael); A.K. Singh (Abhay)

    2015-01-01

    textabstractIn recent years there has been a tremendous growth in the influx of news related to traded assets in international financial markets. This financial news is now available via print media but also through real-time online sources such as internet news and social media sources. The

  12. Dynamic asset trees in the US stock market: Structure variation and market phenomena

    International Nuclear Information System (INIS)

    Huang, Wei-Qiang; Yao, Shuang; Zhuang, Xin-Tian; Yuan, Ying

    2017-01-01

    In this work, employing a moving window to scan through every stock price time series over a period from 2 January 1986 to 20 October 2015, we use cross-correlations to measure the interdependence between stock prices, and we construct a corresponding minimal spanning tree for 170 U.S. stocks in every given window. We show how the asset tree evolves over time and describe the dynamics of its normalized length, centrality measures, vertex degree and vertex strength distributions, and single- and multiple-step edge survival ratios. We find that the normalized tree length shows a tendency to decrease over the 30 years. The power-law of vertex degree or vertex strength distribution does not hold for all trees. The survival ratio analysis reveals an increased stability of the dependence structure of the stock market as time elapses. We then examine the relationship between tree structure variation and market phenomena, such as average, volatility and tail risk of stock (market) return. Our main observation is that the normalized tree length has a positive relationship with the level of stock market average return, and it responds negatively to the market return volatility and tail risk. Furthermore, the majority of stocks have their vertex degrees significantly positively correlated to their average return, and significantly negatively correlated to their return volatility and tail risk.

  13. Momentum in stock market returns: Implications for risk premia on foreign currencies

    OpenAIRE

    Thomas Nitschka

    2010-01-01

    Momentum in foreign stock market returns is exploitable as signal of currency excess returns. Past stock market winner currencies offer higher returns than past stock market loser currencies. This finding is unrelated to interest rate differentials. Funding liquidity risk explains the time series variation in foreign stock market momentum sorted currency portfolio returns. Their cross-sectional dispersion is hardly rationalized by systematic risk factors in contrast to forward discount and cu...

  14. U.S.Stock Market Crashes and Their Aftermath: Implications for Monetary Policy

    OpenAIRE

    Eugene White; Frederic Mishkin

    2002-01-01

    This paper examines fifteen historical episodes of stock market crashes and their aftermath in the United States over the last one hundred years. Our basic conclusion from studying these episodes is that financial instability is the key problem facing monetary policy makers and not stock market crashes, even if they reflect the possible bursting of a bubble. With a focus on financial stability rather than the stock market, the response of central banks to stock market fluctuations is more lik...

  15. US stock market crashes and their aftermath: Implications for monetary policy

    OpenAIRE

    Mishkin, Frederic S.; White, Eugene N.

    2002-01-01

    This paper examines fifteen historical episodes of stock market crashes and their aftermath in the United States over the last one hundred years. Our basic conclusion from studying these episodes is that financial instability is the key problem facing monetary policy makers and not stock market crashes, even if they reflect the possible bursting of a bubble. With a focus on financial stability rather than the stock market, the response of central banks to stock market fluctuations is more lik...

  16. The Book-to-Market Anomaly in the Chinese Stock Markets

    Directory of Open Access Journals (Sweden)

    Kin-Yip Ho

    2015-09-01

    Full Text Available This paper examines the existence of value premium in the Chinese stock markets and empirically provides its explanation. Our results suggest that the value premium does exist in the Chinese markets, and investor sophistication is significant in explaining its existence. In particular, there is supporting evidence that the value premium could be driven by individual investors, whereas stocks that are mostly held by institutional investors are value-premium free. We briefly discuss the implications of our findings.

  17. Market efficiency of traditional stock market indices and social responsible indices: the role of sustainability reporting

    OpenAIRE

    Henry Mynhardt; Inna Makarenko; Alex Plastun

    2017-01-01

    Corporate social responsibility, disclosed in sustainability reporting, influences the financial performance of companies. As a result, traditional stock market indices (TI) are expanded with the social responsible stock market indices (SRI). The aim of this study was to establish whether there are any differences in the behavior of the TI and SRI. To do this, the authors analyzed their efficiency. They used R/S analysis to calculate the Hurst exponent as a measure of persistence (long-term m...

  18. Multifractality and herding behavior in the Japanese stock market

    International Nuclear Information System (INIS)

    Cajueiro, Daniel O.; Tabak, Benjamin M.

    2009-01-01

    In this paper we present evidence of multifractality and herding behavior for a large set of Japanese stocks traded in the Tokyo Stock Exchange. We find evidence that herding behavior occurs in periods of extreme market movements. Therefore, based on the intuition behind the tests to detect herding phenomenon developed, for instance, in Christie and Huang [Christie W, Huang R. Following the pied pier: do individual returns herd around the market? Financ Analysts J 1995;51:31-7] and Chang et al. [Chang EC, Cheng JW, Khorana A. Examination of herd behavior in equity markets: an international perspective. J Bank Finance 2000;24:1651-99], we suggest that herding behavior may be one of the causes of multifractality.

  19. Confidence and the stock market: an agent-based approach.

    Science.gov (United States)

    Bertella, Mario A; Pires, Felipe R; Feng, Ling; Stanley, Harry Eugene

    2014-01-01

    Using a behavioral finance approach we study the impact of behavioral bias. We construct an artificial market consisting of fundamentalists and chartists to model the decision-making process of various agents. The agents differ in their strategies for evaluating stock prices, and exhibit differing memory lengths and confidence levels. When we increase the heterogeneity of the strategies used by the agents, in particular the memory lengths, we observe excess volatility and kurtosis, in agreement with real market fluctuations--indicating that agents in real-world financial markets exhibit widely differing memory lengths. We incorporate the behavioral traits of adaptive confidence and observe a positive correlation between average confidence and return rate, indicating that market sentiment is an important driver in price fluctuations. The introduction of market confidence increases price volatility, reflecting the negative effect of irrationality in market behavior.

  20. A self-similar hierarchy of the Korean stock market

    Science.gov (United States)

    Lim, Gyuchang; Min, Seungsik; Yoo, Kun-Woo

    2013-01-01

    A scaling analysis is performed on market values of stocks listed on Korean stock exchanges such as the KOSPI and the KOSDAQ. Different from previous studies on price fluctuations, market capitalizations are dealt with in this work. First, we show that the sum of the two stock exchanges shows a clear rank-size distribution, i.e., the Zipf's law, just as each separate one does. Second, by abstracting Zipf's law as a γ-sequence, we define a self-similar hierarchy consisting of many levels, with the numbers of firms at each level forming a geometric sequence. We also use two exponential functions to describe the hierarchy and derive a scaling law from them. Lastly, we propose a self-similar hierarchical process and perform an empirical analysis on our data set. Based on our findings, we argue that all money invested in the stock market is distributed in a hierarchical way and that a slight difference exists between the two exchanges.

  1. Crude oil and stock markets. Stability, instability, and bubbles

    International Nuclear Information System (INIS)

    Miller, J. Isaac; Ratti, Ronald A.

    2009-01-01

    We analyze the long-run relationship between the world price of crude oil and international stock markets over 1971:1-2008:3 using a cointegrated vector error correction model with additional regressors. Allowing for endogenously identified breaks in the cointegrating and error correction matrices, we find evidence for breaks after 1980:5, 1988:1, and 1999:9. There is a clear long-run relationship between these series for six OECD countries for 1971:1-1980.5 and 1988:2-1999.9, suggesting that stock market indices respond negatively to increases in the oil price in the long run. During 1980.6-1988.1, we find relationships that are not statistically significantly different from either zero or from the relationships of the previous period. The expected negative long-run relationship appears to disintegrate after 1999.9. This finding supports a conjecture of change in the relationship between real oil price and real stock prices in the last decade compared to earlier years, which may suggest the presence of several stock market bubbles and/or oil price bubbles since the turn of the century. (author)

  2. Persistence Probability Analyzed on the Taiwan STOCK Market

    Science.gov (United States)

    Chen, I.-Chun; Chen, Hung-Jung; Tseng, Hsen-Che

    We report a numerical study of the Taiwan stock market, in which we used three data sources: the daily Taiwan stock exchange index (TAIEX) from January 1983 to May 2006, the daily OTC index from January 1995 to May 2006, and the one-min intraday data from February 2000 to December 2003. Our study is based on numerical estimates of persistence exponent θp, Hurst exponent H2, and fluctuation exponent h2. We also discuss the results concerning persistence probability P(t), qth-order price-price correlation function Gq(t), and qth-order normalized fluctuation function fq(t) among these indices.

  3. Optimisation of fuel stocks under liberalisation of energy market

    International Nuclear Information System (INIS)

    Shipkovs, P.; Sitenko, L.; Kashkarova, G.

    2001-01-01

    The paper discusses the influence of regional fuel stocks on the reliability of the energy sector's activities in a given region. The authors give classification of stocks by their purpose and describe their role in avoiding energy shortage situations. The fuel deficiency at a regional fuel market is shown in connection with the resulting loss for the national economy. The authors employ imitative modelling for investigation of fuel supply schemes acting in Latvia. They estimate possible expenses on the maintenance of fuels - such as gas, residual oil, and coal - for different variants of fuel delivery. (author)

  4. Stock Market Effects of ECB’s Asset Purchase Programmes

    DEFF Research Database (Denmark)

    Henseler, Kai; Rapp, Marc Steffen

    2018-01-01

    How do stock prices react to ECB’s Asset Purchase Programmes? Using an event-study approach, we find substantial cross-sectional variation in a sample of 2625 non-financial firms in the Euro-zone. Announcement returns are positively correlated with leverage and negatively with size, consistent...... with a credit channel. Furthermore, announcement returns are negatively correlated with the market-to-book ratio, suggesting different exposures of value and growth stocks. These patterns are more pronounced once we only examine programme initiation announcements....

  5. Stock Market Effects of ECB’s Asset Purchase Programmes

    DEFF Research Database (Denmark)

    Henseler, Kai; Rapp, Marc Steffen

    2018-01-01

    How do stock prices react to ECB’s Asset Purchase Programmes? Using an event-study approach, we find substantial cross-sectional variation in a sample of 2625 non-financial firms in the Euro-zone. Announcement returns are positively correlated with leverage and negatively with size, consistent wi...... with a credit channel. Furthermore, announcement returns are negatively correlated with the market-to-book ratio, suggesting different exposures of value and growth stocks. These patterns are more pronounced once we only examine programme initiation announcements....

  6. A Comparison of Tail Behaviour of Stock Market Returns

    Directory of Open Access Journals (Sweden)

    Echaust Krzysztof

    2014-06-01

    Full Text Available Most investors believe that left tails of the stock returns distribution are heavier than the right ones. It is a natural consequence of crashes perception as much more turbulent than the booms. Crashes develop in shorter time intervals than booms and changes of prices are significantly bigger. This paper focuses on the extreme behavior of stock market returns. The differences in the tails thickness of distribution are negligible. Its main result is that the differences between tails have been found in the clustering of extremes, especially during the crash of 2007-2009.

  7. Clustering stock market companies via chaotic map synchronization

    Science.gov (United States)

    Basalto, N.; Bellotti, R.; De Carlo, F.; Facchi, P.; Pascazio, S.

    2005-01-01

    A pairwise clustering approach is applied to the analysis of the Dow Jones index companies, in order to identify similar temporal behavior of the traded stock prices. To this end, the chaotic map clustering algorithm is used, where a map is associated to each company and the correlation coefficients of the financial time series to the coupling strengths between maps. The simulation of a chaotic map dynamics gives rise to a natural partition of the data, as companies belonging to the same industrial branch are often grouped together. The identification of clusters of companies of a given stock market index can be exploited in the portfolio optimization strategies.

  8. Estimating the risk-return tradeoff in MENA Stock Markets

    Directory of Open Access Journals (Sweden)

    Salim Lahmiri

    2013-04-01

    Full Text Available This study employs the generalized autoregressive conditionally heteroskedastic in the mean (GARCH-M methodology to investigate the return generating process of Jordan, Kingdom of Saudi Arabia (KSA, Kuwait, and Morocco stock market indices. The tradeoff between returns and the conditional variance is found to be positive in all markets. In other words, the empirical findings show that investors are rewarded for their exposure to more risk in these financial markets. This result is consistent with both financial theory and empirical finance.

  9. Launching Markets for Stock Index Futures and Options: Case of Korea

    OpenAIRE

    Yu-Kyung Kim

    1998-01-01

    This paper discusses experiences on launching Korea’s first-ever regulated derivatives market, namely stock index futures, on May 3, 1996, and subsequent opening of a stock index options market on July 7, 1997. It illustrates what went on as the Korea Stock Exchange was making a decision on its opening and describes the current status of the derivatives market.

  10. Volatility of Stock Markets (an Analysis of South Asian and G8 Countries

    Directory of Open Access Journals (Sweden)

    Muhammad Mansoor Baig

    2015-12-01

    Full Text Available The objective of this study is to make an analysis of volatility of stock markets between South Asian Stock Markets and Stock Markets of Group of Eight Countries. This study important for the investors whose want to invest in stock markets. This study helps investors to determine what stock market is more volatile. To make the analysis three South Asian stock markets and Group of Eight countries stock markets are selected. South Asian stock markets indexes include KSE 100 (Pakistan, SENSEX (India, ASPI (Sri Lanka, CAC 40 (France, DAX (Germany, S &P / TSX Composite (Canada, FTSE MIB (Italy, RTS (Russia, Nikkei 225 (Japan, S & P 500 (USA and FTSE 100 (UK. Data is collected from the period of January 1st 2005 to August 31st 2015. ARCH and GARCH model is used to analyze the volatility of South Asian Stock Markets and stock markets of Group of Eight Countries. The findings show that South Asian Stock Markets are less volatile while Stock Markets of Group of Eight Countries are high volatile. This study is useful for investment institutions and portfolio managers because it focuses on current issues and takes the current data.

  11. 76 FR 78325 - Self-Regulatory Organizations; NASDAQ Stock Market LLC; Notice of Filing and Immediate...

    Science.gov (United States)

    2011-12-16

    ...-Regulatory Organizations; NASDAQ Stock Market LLC; Notice of Filing and Immediate Effectiveness of a Proposed... November 30, 2011. The NASDAQ Stock Market LLC (``NASDAQ'' or ``Exchange'') filed with the Securities and... Change The NASDAQ Stock Market LLC proposes to amend Rule 7056 entitled ``NASDAQ Options Fee Disputes...

  12. Measuring the Effect of Exchange Rate Movements on Stock Market Returns Volatility: GARCH Model

    Directory of Open Access Journals (Sweden)

    Abdelkadir BESSEBA

    2017-06-01

    Full Text Available This paper aims to investigate the dynamic links between exchange rate fluctuations and stock market return volatility. For this purpose, we have employed a Generalized Autoregressive Conditional Heteroscedasticity model (GARCH model. Stock market returns sensitivities are found to be stronger for exchange rates, implying that exchange rate change plays an important role in determining the dynamics of the stock market returns.

  13. Scoring on the stock exchange? The effect of football matches on stock market returns : an event study

    NARCIS (Netherlands)

    Scholtens, B.; Peenstra, W.

    2009-01-01

    We analyse the effect of results of football matches on the stock market performance of football teams. We analyse 1274 matches of eight teams in the national and European competition during 2000-2004. We find that the stock market response is significant and positive for victories and negative for

  14. Jump dynamics and volatility: Oil and the stock markets

    International Nuclear Information System (INIS)

    Chiou, Jer-Shiou; Lee, Yen-Hsien

    2009-01-01

    Our study distinguishes itself from the prior studies within the oil and financial literature by not only examining the asymmetric effects of oil prices on stock returns, but also exploring the importance of structure changes in this dependency relationship. We retrieve daily data on S and P 500 and West Texas Intermediate (WTI) oil transactions covering the period from 1 January 1992 to 7 November 2006, and then transform the available data into daily returns. In contrast to the extant literature, in this study, consideration of expected, unexpected and negative unexpected oil price fluctuations is incorporated into the model of stock returns; we also focus on the ways in which oil price volatility, as opposed to general macroeconomic variables, can influence the stock market. We go on to implement the ARJI (Autoregressive Conditional Jump Intensity) model with structure changes, from which we conclude that high fluctuations in oil prices have asymmetric unexpected impacts on S and P 500 returns. (author)

  15. Ordered phase and non-equilibrium fluctuation in stock market

    Science.gov (United States)

    Maskawa, Jun-ichi

    2002-08-01

    We analyze the statistics of daily price change of stock market in the framework of a statistical physics model for the collective fluctuation of stock portfolio. In this model the time series of price changes are coded into the sequences of up and down spins, and the Hamiltonian of the system is expressed by spin-spin interactions as in spin glass models of disordered magnetic systems. Through the analysis of Dow-Jones industrial portfolio consisting of 30 stock issues by this model, we find a non-equilibrium fluctuation mode on the point slightly below the boundary between ordered and disordered phases. The remaining 29 modes are still in disordered phase and well described by Gibbs distribution. The variance of the fluctuation is outlined by the theoretical curve and peculiarly large in the non-equilibrium mode compared with those in the other modes remaining in ordinary phase.

  16. Multifractal detrended cross-correlations between crude oil market and Chinese ten sector stock markets

    Science.gov (United States)

    Yang, Liansheng; Zhu, Yingming; Wang, Yudong; Wang, Yiqi

    2016-11-01

    Based on the daily price data of spot prices of West Texas Intermediate (WTI) crude oil and ten CSI300 sector indices in China, we apply multifractal detrended cross-correlation analysis (MF-DCCA) method to investigate the cross-correlations between crude oil and Chinese sector stock markets. We find that the strength of multifractality between WTI crude oil and energy sector stock market is the highest, followed by the strength of multifractality between WTI crude oil and financial sector market, which reflects a close connection between energy and financial market. Then we do vector autoregression (VAR) analysis to capture the interdependencies among the multiple time series. By comparing the strength of multifractality for original data and residual errors of VAR model, we get a conclusion that vector auto-regression (VAR) model could not be used to describe the dynamics of the cross-correlations between WTI crude oil and the ten sector stock markets.

  17. STOCK MARKET CRASH AND EXPECTATIONS OF AMERICAN HOUSEHOLDS*

    Science.gov (United States)

    HUDOMIET, PÉTER; KÉZDI, GÁBOR; WILLIS, ROBERT J.

    2011-01-01

    SUMMARY This paper utilizes data on subjective probabilities to study the impact of the stock market crash of 2008 on households’ expectations about the returns on the stock market index. We use data from the Health and Retirement Study that was fielded in February 2008 through February 2009. The effect of the crash is identified from the date of the interview, which is shown to be exogenous to previous stock market expectations. We estimate the effect of the crash on the population average of expected returns, the population average of the uncertainty about returns (subjective standard deviation), and the cross-sectional heterogeneity in expected returns (disagreement). We show estimates from simple reduced-form regressions on probability answers as well as from a more structural model that focuses on the parameters of interest and separates survey noise from relevant heterogeneity. We find a temporary increase in the population average of expectations and uncertainty right after the crash. The effect on cross-sectional heterogeneity is more significant and longer lasting, which implies substantial long-term increase in disagreement. The increase in disagreement is larger among the stockholders, the more informed, and those with higher cognitive capacity, and disagreement co-moves with trading volume and volatility in the market. PMID:21547244

  18. STOCK MARKET CRASH AND EXPECTATIONS OF AMERICAN HOUSEHOLDS.

    Science.gov (United States)

    Hudomiet, Péter; Kézdi, Gábor; Willis, Robert J

    2011-01-01

    This paper utilizes data on subjective probabilities to study the impact of the stock market crash of 2008 on households' expectations about the returns on the stock market index. We use data from the Health and Retirement Study that was fielded in February 2008 through February 2009. The effect of the crash is identified from the date of the interview, which is shown to be exogenous to previous stock market expectations. We estimate the effect of the crash on the population average of expected returns, the population average of the uncertainty about returns (subjective standard deviation), and the cross-sectional heterogeneity in expected returns (disagreement). We show estimates from simple reduced-form regressions on probability answers as well as from a more structural model that focuses on the parameters of interest and separates survey noise from relevant heterogeneity. We find a temporary increase in the population average of expectations and uncertainty right after the crash. The effect on cross-sectional heterogeneity is more significant and longer lasting, which implies substantial long-term increase in disagreement. The increase in disagreement is larger among the stockholders, the more informed, and those with higher cognitive capacity, and disagreement co-moves with trading volume and volatility in the market.

  19. Volatility of an Indian stock market: A random matrix approach

    International Nuclear Information System (INIS)

    Kulkarni, V.; Deo, N.

    2006-07-01

    We examine volatility of an Indian stock market in terms of aspects like participation, synchronization of stocks and quantification of volatility using the random matrix approach. Volatility pattern of the market is found using the BSE index for the three-year period 2000- 2002. Random matrix analysis is carried out using daily returns of 70 stocks for several time windows of 85 days in 2001 to (i) do a brief comparative analysis with statistics of eigenvalues and eigenvectors of the matrix C of correlations between price fluctuations, in time regimes of different volatilities. While a bulk of eigenvalues falls within RMT bounds in all the time periods, we see that the largest (deviating) eigenvalue correlates well with the volatility of the index, the corresponding eigenvector clearly shows a shift in the distribution of its components from volatile to less volatile periods and verifies the qualitative association between participation and volatility (ii) observe that the Inverse participation ratio for the last eigenvector is sensitive to market fluctuations (the two quantities are observed to anti correlate significantly) (iii) set up a variability index, V whose temporal evolution is found to be significantly correlated with the volatility of the overall market index. MIRAMAR (author)

  20. The effect of Malaysia general election on stock market returns.

    Science.gov (United States)

    Liew, Venus Khim-Sen; Rowland, Racquel

    2016-01-01

    During the latest episode of general election held in Malaysia, it is observed that the FBMKLCI index was lifted 62.52 points in a day soon after the announcement of election outcome. Moreover, the index registered a highest gain of 96.29 points in the middle of the intra-day trade. This suggests that investors who had got the right direction could make profitable intra-day trading the next trading day of the general election date. Results from statistical analysis uncover significant before-election-effect and after-election-effect from the most recent general elections held in Malaysia. Different subsets of macroeconomic variables are found to have significant role on stock market return depending on the market situation. Remarkably, when there was close fight between the two major political parties during the 2008 and 2013 election years, political uncertainty showed up its negative and significant role in influencing the stock market return. The major implication of these findings is that while investors may seek abnormal returns before and after the next general election, which is around the corner, they will have to pay attention on the influence of macroeconomic variables and political uncertainty on stock market return during the election year.

  1. Information theory applied to econophysics: stock market behaviors

    Science.gov (United States)

    Vogel, Eugenio E.; Saravia, Gonzalo

    2014-08-01

    The use of data compressor techniques has allowed to recognize magnetic transitions and their associated critical temperatures [E.E. Vogel, G. Saravia, V. Cortez, Physica A 391, 1591 (2012)]. In the present paper we introduce some new concepts associated to data recognition and extend the use of these techniques to econophysics to explore the variations of stock market indicators showing that information theory can help to recognize different regimes. Modifications and further developments to previously introduced data compressor wlzip are introduced yielding two measurements. Additionally, we introduce an algorithm that allows to tune the number of significant digits over which the data compression is due to act complementing, this with an appropriate method to round off the truncation. The application is done to IPSA, the main indicator of the Chilean Stock Market during the year 2010 due to availability of quality data and also to consider a rare effect: the earthquake of the 27th of February on that year which is as of now the sixth strongest earthquake ever recorded by instruments (8.8 Richter scale) according to United States Geological Survey. Along the year 2010 different regimes are recognized. Calm days show larger compression than agitated days allowing for classification and recognition. Then the focus turns onto selected days showing that it is possible to recognize different regimes with the data of the last hour (60 entries) allowing to determine actions in a safer way. The "day of the week" effect is weakly present but "the hour of the day" effect is clearly present; its causes and implications are discussed. This effect also establishes the influence of Asian, European and American stock markets over the smaller Chilean Stock Market. Then dynamical studies are conducted intended to search a system that can help to realize in real time about sudden variations of the market; it is found that information theory can be really helpful in this respect.

  2. Profitability of Contrarian Strategies in the Chinese Stock Market.

    Science.gov (United States)

    Shi, Huai-Long; Jiang, Zhi-Qiang; Zhou, Wei-Xing

    2015-01-01

    This paper reexamines the profitability of loser, winner and contrarian portfolios in the Chinese stock market using monthly data of all stocks traded on the Shanghai Stock Exchange and Shenzhen Stock Exchange covering the period from January 1997 to December 2012. We find evidence of short-term and long-term contrarian profitability in the whole sample period when the estimation and holding horizons are 1 month or longer than 12 months and the annualized return of contrarian portfolios increases with the estimation and holding horizons. We perform subperiod analysis and find that the long-term contrarian effect is significant in both bullish and bearish states, while the short-term contrarian effect disappears in bullish states. We compare the performance of contrarian portfolios based on different grouping manners in the estimation period and unveil that decile grouping outperforms quintile grouping and tertile grouping, which is more evident and robust in the long run. Generally, loser portfolios and winner portfolios have positive returns and loser portfolios perform much better than winner portfolios. Both loser and winner portfolios in bullish states perform better than those in the whole sample period. In contrast, loser and winner portfolios have smaller returns in bearish states, in which loser portfolio returns are significant only in the long term and winner portfolio returns become insignificant. These results are robust to the one-month skipping between the estimation and holding periods and for the two stock exchanges. Our findings show that the Chinese stock market is not efficient in the weak form. These findings also have obvious practical implications for financial practitioners.

  3. Multifractals of investor behavior in stock market

    Science.gov (United States)

    Oh, Gabjin

    2017-07-01

    In this paper, we analyze the nonlinear properties of investor activity using the multifractal detrended fluctuation analysis (MF-DFA) method. Using the aggregated trading volumes of buying, selling, and normalized net investor trading (NIT) to quantify the characteristics of trader behavior in the KOSPI market, we find that the cumulative distribution functions of all NIT time series, except for individual traders, follow a power-law distribution with an exponent in the range of 2.92 ≤ γ ≤ 3.87. To observe the nonlinear features of investor activity, we also calculate the multifractal spectra for the buyer, seller, and NIT data sets and find that a multifractal structure exists in all of the data, regardless of the investor type studied.

  4. Intraday and intraweek trade anomalies on the Czech stock market

    Directory of Open Access Journals (Sweden)

    Oleg Deev

    2012-01-01

    Full Text Available The paper examines intraday and intraweek market returns on the Czech stock market for the search of time and seasonal anomalies in its activities during the last ten years. Existence or absence of anomalies indicates the efficiency of the market. A group of regression models and GARCH (1,1 model is used for the analysis of daily and high frequency data of the PX index. Time varying nature of market seasonalities is revealed with the Czech equity market having implications for changing efficiency over the studied period, when the Czech Republic’s accession to the EU implied the increase in efficiency and the global financial crisis led to opposite results and regularities, which are not yet fully overcomed. Additionally, significant hour-of-the-day effect (open jump effect in the index returns is established.

  5. A network analysis of the Chinese stock market

    Science.gov (United States)

    Huang, Wei-Qiang; Zhuang, Xin-Tian; Yao, Shuang

    2009-07-01

    In many practical important cases, a massive dataset can be represented as a very large network with certain attributes associated with its vertices and edges. Stock markets generate huge amounts of data, which can be use for constructing the network reflecting the market’s behavior. In this paper, we use a threshold method to construct China’s stock correlation network and then study the network’s structural properties and topological stability. We conduct a statistical analysis of this network and show that it follows a power-law model. We also detect components, cliques and independent sets in this network. These analyses allows one to apply a new data mining technique of classifying financial instruments based on stock price data, which provides a deeper insight into the internal structure of the stock market. Moreover, we test the topological stability of this network and find that it displays a topological robustness against random vertex failures, but it is also fragile to intentional attacks. Such a network stability property would be also useful for portfolio investment and risk management.

  6. THE CONNECTION BETWEEN ECONOMIC GROWTH AND STOCK MARKETS

    Directory of Open Access Journals (Sweden)

    Andreea Maria PECE

    2015-04-01

    Full Text Available This paper examines the connection between economic growth and stock market performance in the case of an emerging economy, namely Romania, by using quarterly financial data, during the period 2000-2013. This topic is widely studied in the financial literature and seeks to provide an answer for the following questions: does economic growth influences the capital market, does capital market influences economic growth, or there is no connection between these variables. I have analyzed the long term relationship between economic growth and stock market for Romania, by applying Johansen cointegration test, Granger causality and Gregory Hansen cointegration test, which allows the presence of the structural breaks in the time series. The empirical results obtained highlighted that portfolio investments have a positive impact on economic growth and the GDP growth engages in turn, a long term positive capital markets return. The main conclusion of this study is that in the case of Romanian economy, is a bi-directional link between the economic growth and the capital market performance.

  7. Trading in Target Stocks Before Takeover Announcements: An Analysis of Stock and Option Markets

    OpenAIRE

    Marcus Clements; Harminder Singh; Antonie Van Eekelen

    2007-01-01

    In this study we examine both informed trading and contraire trading preceding takeover announcements on US target firms. Our findings suggest that both informed trading and contraire trading exists within the period preceding takeover announcements on both the stock and option markets as evident through abnormal returns and trading volumes. In regard to contraire trading, this study investigates possible explanations for its existence including liquidity clustering, falsely informed trading ...

  8. Equation-based model for the stock market.

    Science.gov (United States)

    Xavier, Paloma O C; Atman, A P F; de Magalhães, A R Bosco

    2017-09-01

    We propose a stock market model which is investigated in the forms of difference and differential equations whose variables correspond to the demand or supply of each agent and to the price. In the model, agents are driven by the behavior of their trust contact network as well by fundamental analysis. By means of the deterministic version of the model, the connection between such drive mechanisms and the price is analyzed: imitation behavior promotes market instability, finitude of resources is associated to stock index stability, and high sensitivity to the fair price provokes price oscillations. Long-range correlations in the price temporal series and heavy-tailed distribution of returns are observed for the version of the model which considers different proposals for stochasticity of microeconomic and macroeconomic origins.

  9. Modeling the time-changing dependence in stock markets

    International Nuclear Information System (INIS)

    Frezza, Massimiliano

    2012-01-01

    The time-changing dependence in stock markets is investigated by assuming the multifractional process with random exponent (MPRE) as model for actual log price dynamics. By modeling its functional parameter S(t, ω) via the square root process (S.R.) a twofold aim is obtained. From one hand both the main financial and statistical properties shown by the estimated S(t) are captured by surrogates, on the other hand this capability reveals able to model the time-changing dependence shown by stocks or indexes. In particular, a new dynamical approach to interpreter market mechanisms is given. Empirical evidences are offered by analysing the behaviour of the daily closing prices of a very known index, the Industrial Average Dow Jones (DJIA), beginning on March,1990 and ending on February, 2005.

  10. A CcP model of the stock market

    Directory of Open Access Journals (Sweden)

    Shimshon Bichler

    2017-05-01

    Full Text Available Most explanations of stock market booms and busts are based on contrasting the underlying ‘fundamental’ logic of the economy with the exogenous, non-economic factors that presumably distort it. Our paper offers a radically different model, examining the stock market not from the mechanical viewpoint of a distorted economy, but from the dialectical perspective of capitalized power. The model demonstrates that (1 the valuation of equities represents capitalized power; (2 capitalized power is dialectically intertwined with systemic fear; and (3 systemic fear and capitalized power are mediated through strategic sabotage. This triangular model, we posit, can offer a basis for examining the asymptotes, or limits, of capitalized power and the ways in which these asymptotes relate to the historical and ongoing transformation of the capitalist mode of power.

  11. Equation-based model for the stock market

    Science.gov (United States)

    Xavier, Paloma O. C.; Atman, A. P. F.; de Magalhães, A. R. Bosco

    2017-09-01

    We propose a stock market model which is investigated in the forms of difference and differential equations whose variables correspond to the demand or supply of each agent and to the price. In the model, agents are driven by the behavior of their trust contact network as well by fundamental analysis. By means of the deterministic version of the model, the connection between such drive mechanisms and the price is analyzed: imitation behavior promotes market instability, finitude of resources is associated to stock index stability, and high sensitivity to the fair price provokes price oscillations. Long-range correlations in the price temporal series and heavy-tailed distribution of returns are observed for the version of the model which considers different proposals for stochasticity of microeconomic and macroeconomic origins.

  12. Islamic versus conventional stock market and its co-movement with crude oil: a wavelet analysis

    OpenAIRE

    Kamarudin, Eka Azrin; Masih, Mansur

    2015-01-01

    Crude oil market plays an important role in economic development and its price changes give huge impact to the financial markets. In this paper, the relationships between crude oil and stock markets are examined. This study has selected Malaysian Islamic and conventional stock markets as a case study. Financialisation of crude oil and its frequent inclusion into investment portfolios warrant an analysis of the relationship between crude oil and stock market indices at various time scales or i...

  13. Can a stochastic cusp catastrophe model explain stock market crashes?

    Czech Academy of Sciences Publication Activity Database

    Baruník, Jozef; Vošvrda, Miloslav

    2009-01-01

    Roč. 33, č. 10 (2009), s. 1824-1836 ISSN 0165-1889 R&D Projects: GA ČR GD402/09/H045; GA ČR GA402/09/0965 Grant - others:GAUK(CZ) 46108 Institutional research plan: CEZ:AV0Z10750506 Keywords : Stochastic cusp catastrophe * Bifurcations * Singularity * Nonlinear dynamics * Stock market crash Subject RIV: AH - Economics Impact factor: 1.097, year: 2009

  14. Forecasting stock market averages to enhance profitable trading strategies

    OpenAIRE

    Haefke, Christian; Helmenstein, Christian

    1995-01-01

    In this paper we design a simple trading strategy to exploit the hypothesized distinct informational content of the arithmetic and geometric mean. The rejection of cointegration between the two stock market indicators supports this conjecture. The profits generated by this cheaply replicable trading scheme cannot be expected to persist. Therefore we forecast the averages using autoregressive linear and neural network models to gain a competitive advantage relative to other investors. Refining...

  15. Corporate governance, corporate finance and stock markets in emerging countries

    OpenAIRE

    Singh, Ajit

    2003-01-01

    This paper focuses on the inter-relationship between corporate governance, financing of corporate growth and stock market development in emerging countries. It explores both theoretically and empirically the nature of the inter-relationships between these phenomena, as well their implications for economic policy. It concentrates on how corporate growth is financed, an area where the literature has identified important anomalies in relation to corporate behaviour and governance. The paper prov...

  16. The long-term stock market valuation of customer satisfaction

    OpenAIRE

    Aksoy, Lerzan

    2008-01-01

    Firm valuation has been an important domain of interest for finance. However, most financial models do not include customer-related metrics in this process. Studies in marketing have found that one particular customer metric, customer satisfaction, improves the ability to predict future cash flows, long-term financial measures, stock performance, and shareholder value. However, most of these studies predominantly employ models that are not directly used in finance practice. This article exten...

  17. Limitations of scaling and universality in stock market data

    OpenAIRE

    Kertesz, Janos; Eisler, Zoltan

    2005-01-01

    We present evidence, that if a large enough set of high resolution stock market data is analyzed, certain analogies with physics -- such as scaling and universality -- fail to capture the full complexity of such data. Despite earlier expectations, the mean value per trade, the mean number of trades per minute and the mean trading activity do not show scaling with company capitalization, there is only a non-trivial monotonous dependence. The strength of correlations present in the time series ...

  18. Intraday price discovery in emerging European stock markets

    Czech Academy of Sciences Publication Activity Database

    Hanousek, Jan; Kočenda, Evžen

    -, č. 382 (2009), s. 1-35 ISSN 1211-3298 R&D Projects: GA ČR(CZ) GA402/08/1376; GA MŠk LC542 Institutional research plan: CEZ:MSM0021620846 Keywords : price discovery * stock markets * intra-day data * European Union * macroeconomic news Subject RIV: AH - Economics http://www.cerge-ei.cz/pdf/wp/Wp382.pdf

  19. Risk-Return Trade-Off for European Stock Markets

    OpenAIRE

    Aslanidis, Nektarios; Christiansen, Charlotte; Savva, Christos S.

    2015-01-01

    This paper adopts dynamic factor models with macro-finance predictors to revisit the intertemporal risk-return relation in five large European stock markets. We identify country specific, Euro area, and global factors to determine the conditional moments of returns considering the role of higher-order moments as additional measures of risk. The preferred combination of factors varies across countries. In the linear model, there is a strong but negative relation between conditional returns and...

  20. Fundamental ratios and stock market performance : evidence from Turkey

    OpenAIRE

    Parlak, Deniz

    2013-01-01

    The fundamental analysis strives to determine the approximate future market value of a firm and an important step in a fundamental analysis is the computation of basic ratios which provide an indication of firms' financial performance in several key areas. The purpose of this study is to investigate the financial performance of Turkish manufacturing companies and the impact of this performance on common stock returns for the three years from 2009 to 2012. The sample consisted of 20 chemical-s...

  1. Generalized Bogoliubov Polariton Model: An Application to Stock Exchange Market

    International Nuclear Information System (INIS)

    Anh, Chu Thuy; Anh, Truong Thi Ngoc; Lan, Nguyen Tri; Viet, Nguyen Ai

    2016-01-01

    A generalized Bogoliubov method for investigation non-simple and complex systems was developed. We take two branch polariton Hamiltonian model in second quantization representation and replace the energies of quasi-particles by two distribution functions of research objects. Application to stock exchange market was taken as an example, where the changing the form of return distribution functions from Boltzmann-like to Gaussian-like was studied. (paper)

  2. The Interplay Between the Thai and Several Other International Stock Markets

    OpenAIRE

    Valadkhani, Abbas; Chancharat, Surachai; Harvie, Charles

    2006-01-01

    The paper analyses the effect of various international stock market price indices and some relevant macroeconomic variables on the Thai stock market price index, using a GARCH-M model and monthly data from January 1988 to December 2004. It is found, inter alia, that (a) changes in stock market returns in Singapore, Malaysia and Indonesia in the pre-1997 Asian crisis, and changes in Singapore, the Philippines and Korea in the post-1997 era instantaneously influenced returns in the Thai stock m...

  3. ASEAN-5+3 AND US STOCK MARKETS INTERDEPENDENCE BEFORE, DURING AND AFTER ASIAN FINANCIAL CRISIS

    OpenAIRE

    Royfaizal, R. C; Lee, C; Mohamed, Azali

    2007-01-01

    The issues of international stock markets linkages had been investigated over the time. Since the Asian financial crisis in 1997, many economists are concerned about the relationship between Asian stock markets and others in the world. This paper is conducted to examine the linkages between ASEAN-5+3 namely Malaysia, Singapore, the Philippines, Thailand, Indonesia, China, Japan and Korea and US stock markets. The data consists of weekly stock indices data. The total samples are se...

  4. Investigating the Nonlinear Dynamics of Emerging and Developed Stock Markets

    Directory of Open Access Journals (Sweden)

    K. Guhathakurta

    2015-01-01

    Full Text Available Financial time-series has been of interest of many statisticians and financial experts. Understanding the characteristic features of a financial-time series has posed some difficulties because of its quasi-periodic nature. Linear statistics can be applied to a periodic time series, but since financial time series is non-linear and non-stationary, analysis of its quasi periodic characteristics is not entirely possible with linear statistics. Thus, the study of financial series of stock market still remains a complex task having its specific requirements. In this paper keeping in mind the recent trends and developments in financial time series studies, we want to establish if there is any significant relationship existing between trading behavior of developing and developed markets. The study is conducted to draw conclusions on similarity or differences between developing economies, developed economies, developing-developed economy pairs. We take the leading stock market indices dataset for the past 15 years in those markets to conduct the study. First we have drawn probability distribution of the dataset to see if any graphical similarity exists. Then we perform quantitative techniques to test certain hypotheses. Then we proceed to implement the Ensemble Empirical Mode Distribution technique to draw out amplitude and phase of movement of index value each data set to compare at granular level of detail. Our findings lead us to conclude that the nonlinear dynamics of emerging markets and developed markets are not significantly different. This could mean that increasing cross market trading and involvement of global investment has resulted in narrowing the gap between emerging and developed markets. From nonlinear dynamics perspective we find no reason to distinguish markets into emerging and developed any more.

  5. MEASURES OF THE STATE FOR INTRODUCTION DEOFFSHORIZATION IN STOCK MARKET OF UKRAINE

    Directory of Open Access Journals (Sweden)

    Oksana Kiktenko

    2016-11-01

    Full Text Available The purpose of the article is to improve monitoring and control in the system of state regulation of the stock market and to develop practical recommendations for an integrated mechanism, which is aimed at stabilizing and improving the functioning of its state regulators. Methodology. The following research methods were used: analysis and synthesis – to identify the most important factors affecting the operation of the stock market, consolidation of trends and evaluation the effectiveness of individual measures of government regulation; statistical analysis, comparison and generalization – to study the effectiveness of the regulatory bodies of the stock market in Ukraine. Results. It’s necessary to introduce deoffshorization, which is a tool of economic mechanism of the development of state regulation of the stock market and optimal combination of the tax burden, comfortable business environment and the country’s stock market capitalization. Practical significance. Practical recommendations on the need to introduce deoffshorization in the stock market of Ukraine are seen as a tool of economic mechanism for further state regulation development of the stock market, used in the formation of proposals to introduce deoffshorization in the stock market in the Regulations of the National Commission on Securities and Stock Market. Value/originality. Implementation of the deoffshorization in the stock market will allow the State to strengthen the protection of investors’ rights, it is a strategic goal of Ukraine, as well as to strengthen the local stock market and increase its credibility among the population.

  6. Investigation of multifractality in the Brazilian stock market

    Science.gov (United States)

    Maganini, Natália Diniz; Da Silva Filho, Antônio Carlos; Lima, Fabiano Guasti

    2018-05-01

    Many studies point to a possible new stylized fact for financial time series: the multifractality. Several authors have already detected this characteristic in multiple time series in several countries. With that in mind and based on Multifractal Detrended Fluctuation Analysis (MFDFA) method, this paper analyzes the multifractality in the Brazilian market. This analysis is performed with daily data from IBOVESPA index (Brazilian stock exchange's main index) and other four highly marketable stocks in the Brazilian market (VALE5, ITUB4, BBDC4 and CIEL3), which represent more than 25% of the index composition, making up 1961 observations for each asset in the period from June 26 2009 to May 31 2017. We found that the studied stock prices and Brazilian index are multifractal, but that the multifractality degree is not the same for all the assets. The use of shuffled and surrogated series indicates that for the period and the actions considered the long-range correlations do not strongly influence the multifractality, but the distribution (fat tails) exerts a possible influence on IBOVESPA and CIEL3.

  7. TRUMP’S ELECTED SHOCK EFFECT IN INDONESIAN STOCK MARKET

    Directory of Open Access Journals (Sweden)

    Vietha Devia Sagita

    2017-05-01

    Full Text Available It is inevitable that the presidential election in the United States can caused stock market fluctuations both in the United States alone as well as in other countries, for example Indonesia. Using regression method and chow test this study aimed at the effects before and after the election of Donald Trump as president of the United States on November 8, 2016. Using the data series shares the value of DJIA and ICI, this study analyzes the emergence of shock due to the change of president in United Staten share prices at the stock market in Indonesia. Based on the chow test result, the election of Donald Trump can provide a shock effect on ICI as well as DJIA, because the value of 6.917956 F count is larger than the value of 3,93 F table. DJIA positive influence on the value of ICI shares due to the election of Donald Trump is significantly below 5% at 1855.782. Meanwhile, before the election of Donald Trump DJIA has a negative influence on the ICI for - 1407.59. Based on that we can conclude that the election of Donald Trump bring a good impact on the growth of the Indonesian stock market.

  8. Hot money and China's stock market volatility: Further evidence using the GARCH-MIDAS model

    Science.gov (United States)

    Wei, Yu; Yu, Qianwen; Liu, Jing; Cao, Yang

    2018-02-01

    This paper investigates the influence of hot money on the return and volatility of the Chinese stock market using a nonlinear Granger causality test and a new GARCH-class model based on mixed data sampling regression (GARCH-MIDAS). The empirical results suggest that no linear or nonlinear causality exists between the growth rate of hot money and the Chinese stock market return, implying that the Chinese stock market is not driven by hot money and vice versa. However, hot money has a significant positive impact on the long-term volatility of the Chinese stock market. Furthermore, the dependence between the long-term volatility caused by hot money and the total volatility of the Chinese stock market is time-variant, indicating that huge volatilities in the stock market are not always triggered by international speculation capital flow and that Chinese authorities should further focus on more systemic reforms in the trading rules and on effectively regulating the stock market.

  9. Stock returns predictability and the adaptive market hypothesis in emerging markets: evidence from India.

    Science.gov (United States)

    Hiremath, Gourishankar S; Kumari, Jyoti

    2014-01-01

    This study addresses the question of whether the adaptive market hypothesis provides a better description of the behaviour of emerging stock market like India. We employed linear and nonlinear methods to evaluate the hypothesis empirically. The linear tests show a cyclical pattern in linear dependence suggesting that the Indian stock market switched between periods of efficiency and inefficiency. In contrast, the results from nonlinear tests reveal a strong evidence of nonlinearity in returns throughout the sample period with a sign of tapering magnitude of nonlinear dependence in the recent period. The findings suggest that Indian stock market is moving towards efficiency. The results provide additional insights on association between financial crises, foreign portfolio investments and inefficiency. G14; G12; C12.

  10. The Brazilian Stock Market in the Pre-Ibovespa Era

    Directory of Open Access Journals (Sweden)

    Antonio Zoratto Sanvicente

    2014-06-01

    Full Text Available The paper reports the availability of equity market and government bond indices for the 1950-1967 in Brazil, before the introduction of the Bovespa index. Nominal monthly returns are computed, and the historical market risk premium is determined. A 1.86% monthly average is obtained, which compares to 1.69% per month for the period from January, 1968 to October, 2013. The rates of return of both market segments are then adjusted for the change in the General Price Index – Domestic Availability (IGP-DI. It is observed that neither stocks nor government bonds provided sufficient protection against inflation. The paper’s main contribution to the literature, however, is the creation of the two index series, adding over 17 years of data to the information commonly used in the analysis of Brazilian capital markets.

  11. Is candlestick continuation patterns applicable in Malaysian stock market?

    Directory of Open Access Journals (Sweden)

    Chin Chee-Ling

    2017-01-01

    Full Text Available Technical analysis is deemed to be an anathema to the modern finance theory as it contradicts with the efficient market hypothesis, typically the weak form market efficiency which forbids the utilization of past prices and trading volume data to predict future market movement. However, the technical indicator of candlestick trading strategy is widely applied by traders for short term investment. This study thus investigates on the predictive power of candlestick charting which concentrates on the application of continuation patterns in Malaysian stock market from 2000 to 2014. Skewness adjusted t-test is employed to test the statistical significance of candlesticks’ profitability. After taking into account the transaction costs, sub-sample, and out-of-sample test, the findings show that only Falling Window pattern after a prevailing downtrend shows predictive power with bearish signals indicated significantly during the 5-day holding period.

  12. The stock market performance of the central banks of Belgium and Japan

    NARCIS (Netherlands)

    Kabir, Mohammed Rezaul; Goldberg, Lawrence G.

    2002-01-01

    Most central banks issue stock that is held by the government and/or commercial banks and is not tradable. In contrast, stocks of the central banks of Belgium and Japan are traded on the Brussels and Tokyo stock exchanges. The purpose of the paper is to examine this unique phenomenon of stock market

  13. THE GREGARIOUS BEHAVIOR OF INVESTORS FROM BALTIC STOCK MARKETS

    Directory of Open Access Journals (Sweden)

    Pece Andreea Maria

    2015-07-01

    Full Text Available The main objective of this research is to investigate market participants’ gregarious behaviour in Baltic stock markets, namely Lithuania, Latvia and Estonia during the period January 2003-December 2013. The herding behaviour derives from the investors’ irrationality, who trade financial assets based on their positive expectations about prices future growth, generating manias among other market participants, thus ignoring the real return rates and the risk levels of their investments.The investors’ irrational behaviour is influenced by actions, feelings and impulses that are intertwined: mimicry, fear, trust, greed, optimism, pessimism, euphoria, panic. These features highlight an erroneous perception of investors in point of unsustained increase in prices, which has been generated by the stock prices deviations from their fundamental value.Under these premises, optimism, overreaction and speculative bubbles are appearing on the market and may constitute triggering factors of a financial crash.The probability of the occurrence of the speculative bubbles and financial crashes is influenced by the continuous entry on the market of new investors and less informed participants, which often act based on impulse, following a benchmark, without considering their own analysis and information that they hold. The existence of a “collective behaviour” of the investors, which is manifested by their tendency to imitate other market participants actions and to “follow the herd”, so ignoring their own beliefs, may increase market sensitivity to shocks and the probability of the occurrence of the systemic risk.In order to identify the investors’ herding behaviour, I have applied an adjusted CSSD model proposed by (Yao, Ma, Peng He, 2014, which implies the inclusion of two additional variables, the first one, to reduce the effect of multicollinearity and a second one, a lag term of the dependent variable, in order to improve the power of the

  14. What stock market returns to expect for the future?

    Science.gov (United States)

    Diamond, P A

    2000-01-01

    In evaluating proposals for reforming Social Security that involve stock investments, the Office of the Chief Actuary (OCACT) has generally used a 7.0 percent real return for stocks. The 1994-96 Advisory Council specified that OCACT should use that return in making its 75-year projections of investment-based reform proposals. The assumed ultimate real return on Treasury bonds of 3.0 percent implies a long-run equity premium of 4.0 percent. There are two equity-premium concepts: the realized equity premium, which is measured by the actual rates of return; and the required equity premium, which investors expect to receive for being willing to hold available stocks and bonds. Over the past two centuries, the realized premium was 3.5 percent on average, but 5.2 percent for 1926 to 1998. Some critics argue that the 7.0 percent projected stock returns are too high. They base their arguments on recent developments in the capital market, the current high value of the stock market, and the expectation of slower economic growth. Increased use of mutual funds and the decline in their costs suggest a lower required premium, as does the rising fraction of the American public investing in stocks. The size of the decrease is limited, however, because the largest cost savings do not apply to the very wealthy and to large institutional investors, who hold a much larger share of the stock market's total value than do new investors. These trends suggest a lower equity premium for projections than the 5.2 percent of the past 75 years. Also, a declining required premium is likely to imply a temporary increase in the realized premium because a rising willingness to hold stocks tends to increase their price. Therefore, it would be a mistake during a transition period to extrapolate what may be a temporarily high realized return. In the standard (Solow) economic growth model, an assumption of slower long-run growth lowers the marginal product of capital if the savings rate is constant

  15. An analysis of stock market efficiency: Developed vs Islamic stock markets using MF-DFA

    Science.gov (United States)

    Rizvi, Syed Aun R.; Dewandaru, Ginanjar; Bacha, Obiyathulla I.; Masih, Mansur

    An efficient market has been theoretically proven to be a key component for effective and efficient resource allocation in an economy. This paper incorporates econophysics with Efficient Market Hypothesis to undertake a comparative analysis of Islamic and developed countries’ markets by extending the understanding of their multifractal nature. By applying the Multifractal Detrended Fluctuation Analysis (MFDFA) we calculated the generalized Hurst exponents, multifractal scaling exponents and generalized multifractal dimensions for 22 broad market indices. The findings provide a deeper understanding of the markets in Islamic countries, where they have traces of highly efficient performance particularly in crisis periods. A key finding is the empirical evidence of the impact of the ‘stage of market development’ on the efficiency of the market. If Islamic countries aim to improve the efficiency of resource allocation, an important area to address is to focus, among others, on enhancing the stage of market development.

  16. On the integration of financial markets: How strong is the evidence from five international stock markets?

    Science.gov (United States)

    Bentes, Sónia R.

    2015-07-01

    This paper examines the integration of financial markets using data from five international stock markets in the context of globalization. The theoretical basis of this study relies on the price theory and the Law of One Price, which was adjusted to the framework of financial markets. When price levels are nonstationary, cointegration and the error correction model constitute a powerful tool for the empirical examination of market integration. The error correction model provides a fully dynamic framework that allows to separating the long and the short run effects of the integration process. A dataset encompassing the daily stock price series of the PSI 20 (Portugal), IBEX 35 (Spain), FTSE 100 (UK), NIKKEI 225 (Japan) and SP 500 (US) indices from January 4th 1999 to September 19th 2014 is employed. The results highlight that these five stock markets are linked together by just one long-run relationship, although short-run movements are also present, which causes distinct deviations from the long-run equilibrium relationship. Endogeneity prevails in the system as a whole. While market integration in the sense of the Law of One Price holds, pairwise full price transmission has limited evidence. The results therefore show that stock market price movements are highly nonlinear and complex.

  17. Symmetric co-movement between Malaysia and Japan stock markets

    Science.gov (United States)

    Razak, Ruzanna Ab; Ismail, Noriszura

    2017-04-01

    The copula approach is a flexible tool known to capture linear, nonlinear, symmetric and asymmetric dependence between two or more random variables. It is often used as a co-movement measure between stock market returns. The information obtained from copulas such as the level of association of financial market during normal and bullish and bearish markets phases are useful for investment strategies and risk management. However, the study of co-movement between Malaysia and Japan markets are limited, especially using copulas. Hence, we aim to investigate the dependence structure between Malaysia and Japan capital markets for the period spanning from 2000 to 2012. In this study, we showed that the bivariate normal distribution is not suitable as the bivariate distribution or to present the dependence between Malaysia and Japan markets. Instead, Gaussian or normal copula was found a good fit to represent the dependence. From our findings, it can be concluded that simple distribution fitting such as bivariate normal distribution does not suit financial time series data, whose characteristics are often leptokurtic. The nature of the data is treated by ARMA-GARCH with heavy tail distributions and these can be associated with copula functions. Regarding the dependence structure between Malaysia and Japan markets, the findings suggest that both markets co-move concurrently during normal periods.

  18. Initial value sensitivity of the Chinese stock market and its relationship with the investment psychology

    Science.gov (United States)

    Ying, Shangjun; Li, Xiaojun; Zhong, Xiuqin

    2015-04-01

    This paper discusses the initial value sensitivity (IVS) of Chinese stock market, including the single stock market and the Chinese A-share stock market, with respect to real markets and evolving models. The aim is to explore the relationship between IVS of the Chinese A-share stock market and the investment psychology based on the evolving model of genetic cellular automaton (GCA). We find: (1) The Chinese stock market is sensitively dependent on the initial conditions. (2) The GCA model provides a considerable reliability in complexity simulation (e.g. the IVS). (3) The IVS of stock market is positively correlated with the imitation probability when the intensity of the imitation psychology reaches a certain threshold. The paper suggests that the government should seek to keep the imitation psychology under a certain level, otherwise it may induce severe fluctuation to the market.

  19. EVALUATION OF THE MODERN TENDENCIES IN THE UKRAINIAN STOCK MARKET DEVELOPMENT

    Directory of Open Access Journals (Sweden)

    Oleksandr Trofimchuk

    2015-11-01

    Full Text Available The purpose of the article is to research and critically evaluate the features of functioning and development the stock market in Ukraine. The main point is to substantiate modern tendencies and to find ways of more efficient development of the Ukrainian stock market. Methodology. The research is based on the analysis of the important aspects which characterize stock market development. They are the volume of trading activity that was done on stock exchanges, level of market capitalization, economic concentration, price policy on market services, and control over the insider information use and manipulation identification. Results. On the basis of volume of trading activity that was done on stock exchanges, features of stock market structure are determined. Comparative analysis between the stock market capitalization level of Ukraine and average world index of stock market capitalization is done. The level and dynamic of economic concentration is defined. Features of competition between Ukrainian stock exchanges are analyzed. Great attention in research is paid to problems of control over the insider information use and principles of manipulation identification by stock exchanges. Value/originality. The research showed that main amount of trading operations was done in “shadow” stock market, capitalization level decreased and stock market in Ukraine does not meet international standards of transparency. Further research should be focused on problems of ensuring the effective implementation of the basic principles of competition between market participants. Main point is to provide law mechanisms to increase transparency level of the national stock market and to increase share of organized stock market in Ukraine.

  20. Stock Market Autoregressive Dynamics: A Multinational Comparative Study with Quantile Regression

    Directory of Open Access Journals (Sweden)

    Lili Li

    2016-01-01

    Full Text Available We study the nonlinear autoregressive dynamics of stock index returns in seven major advanced economies (G7 and China. The quantile autoregression model (QAR enables us to investigate the autocorrelation across the whole spectrum of return distribution, which provides more insightful conditional information on multinational stock market dynamics than conventional time series models. The relation between index return and contemporaneous trading volume is also investigated. While prior studies have mixed results on stock market autocorrelations, we find that the dynamics is usually state dependent. The results for G7 stock markets exhibit conspicuous similarities, but they are in manifest contrast to the findings on Chinese stock markets.

  1. EMPIRICAL DISTRIBUTION OF STOCK RETURNS OF SOUTHEAST EUROPEAN EMERGING MARKETS

    Directory of Open Access Journals (Sweden)

    Aleksandar Naumoski

    2017-06-01

    Full Text Available The assumption that equity returns follow the normal distribution, most commonly made in financial economics theory and applications, is strongly rejected by empirical evidence presented in this paper. As it was found in many other studies, we confirm that stock returns follow a leptokurtic distribution and skewness, which in most of the Southeast European (SEE markets is negative. This paper investigates further whether there is any distribution that may be considered an optimal fit for stock returns in the SEE region. Using daily, weekly and monthly data samples for a period of five years from ten Southeast European emerging countries, we applied the Anderson-Darling test of Goodness-of-fit. We strongly rejected the aforementioned assumption of normality for all considered data samples and found that the daily stock returns are best fitted by the Johnson SU distribution whereas for the weekly and monthly stock returns there was not one predominant, but many distributions that can be considered a best fit.

  2. Investment Strategies of Different Holding Periods: Evidence from Stock Markets of Hong Kong, Korea, Shanghai, and Taiwan

    OpenAIRE

    Massoud Moslehpour; Munkh-Ulzii Batmunkh

    2013-01-01

    Although there is abundant research focusing on estimating the level of returns on stock market, there is a lack of studies examining the comparison of stock return movements for short-term and long-term investment in the Asian stock market. The present study examines return on investment of different holding periods among selected stock markets in Asia. Based on the trading performance of key indices and market capitalization value, Korean Stock Exchange (KRE), Shanghai Stock Exchange (SSE),...

  3. Hidden temporal order unveiled in stock market volatility variance

    Directory of Open Access Journals (Sweden)

    Y. Shapira

    2011-06-01

    Full Text Available When analyzed by standard statistical methods, the time series of the daily return of financial indices appear to behave as Markov random series with no apparent temporal order or memory. This empirical result seems to be counter intuitive since investor are influenced by both short and long term past market behaviors. Consequently much effort has been devoted to unveil hidden temporal order in the market dynamics. Here we show that temporal order is hidden in the series of the variance of the stocks volatility. First we show that the correlation between the variances of the daily returns and means of segments of these time series is very large and thus cannot be the output of random series, unless it has some temporal order in it. Next we show that while the temporal order does not show in the series of the daily return, rather in the variation of the corresponding volatility series. More specifically, we found that the behavior of the shuffled time series is equivalent to that of a random time series, while that of the original time series have large deviations from the expected random behavior, which is the result of temporal structure. We found the same generic behavior in 10 different stock markets from 7 different countries. We also present analysis of specially constructed sequences in order to better understand the origin of the observed temporal order in the market sequences. Each sequence was constructed from segments with equal number of elements taken from algebraic distributions of three different slopes.

  4. Do MENA stock market returns follow a random walk process?

    Directory of Open Access Journals (Sweden)

    Salim Lahmiri

    2013-01-01

    Full Text Available In this research, three variance ratio tests: the standard variance ratio test, the wild bootstrap multiple variance ratio test, and the non-parametric rank scores test are adopted to test the random walk hypothesis (RWH of stock markets in Middle East and North Africa (MENA region using most recent data from January 2010 to September 2012. The empirical results obtained by all three econometric tests show that the RWH is strongly rejected for Kuwait, Tunisia, and Morocco. However, the standard variance ratio test and the wild bootstrap multiple variance ratio test reject the null hypothesis of random walk in Jordan and KSA, while non-parametric rank scores test do not. We may conclude that Jordan and KSA stock market are weak efficient. In sum, the empirical results suggest that return series in Kuwait, Tunisia, and Morocco are predictable. In other words, predictable patterns that can be exploited in these markets still exit. Therefore, investors may make profits in such less efficient markets.

  5. Artificial Neural Network versus Linear Models Forecasting Doha Stock Market

    Science.gov (United States)

    Yousif, Adil; Elfaki, Faiz

    2017-12-01

    The purpose of this study is to determine the instability of Doha stock market and develop forecasting models. Linear time series models are used and compared with a nonlinear Artificial Neural Network (ANN) namely Multilayer Perceptron (MLP) Technique. It aims to establish the best useful model based on daily and monthly data which are collected from Qatar exchange for the period starting from January 2007 to January 2015. Proposed models are for the general index of Qatar stock exchange and also for the usages in other several sectors. With the help of these models, Doha stock market index and other various sectors were predicted. The study was conducted by using various time series techniques to study and analyze data trend in producing appropriate results. After applying several models, such as: Quadratic trend model, double exponential smoothing model, and ARIMA, it was concluded that ARIMA (2,2) was the most suitable linear model for the daily general index. However, ANN model was found to be more accurate than time series models.

  6. Study on Market Stability and Price Limit of Chinese Stock Index Futures Market: An Agent-Based Modeling Perspective.

    Science.gov (United States)

    Xiong, Xiong; Nan, Ding; Yang, Yang; Yongjie, Zhang

    2015-01-01

    This paper explores a method of managing the risk of the stock index futures market and the cross-market through analyzing the effectiveness of price limits on the Chinese Stock Index 300 futures market. We adopt a cross-market artificial financial market (include the stock market and the stock index futures market) as a platform on which to simulate the operation of the CSI 300 futures market by changing the settings of price limits. After comparing the market stability under different price limits by appropriate liquidity and volatility indicators, we find that enhancing price limits or removing price limits both play a negative impact on market stability. In contrast, a positive impact exists on market stability if the existing price limit is maintained (increase of limit by10%, down by 10%) or it is broadened to a proper extent. Our study provides reasonable advice for a price limit setting and risk management for CSI 300 futures.

  7. Impact Of Volatility And Performance Of Major Stock Markets On Sarajevo Stock Exchange In 2008 – 2012 Period

    OpenAIRE

    Dzanic, Enis; Omerbegovic, Sead

    2014-01-01

    Previous research indicates that performance and volatility of small and regional stock markets can be influenced by the performance of major world exchanges such as New York, Frankfurt or Tokyo stock exchange. This research analyses weekly composite index data for SASE (Sarajevo Stock Exchange), NYSE, NIKKEI, and DAX indices, for the period from 2008 until the end of 2012. This time period contains significant events in the US and the rest of the world, including the housing bubble, and a gr...

  8. Is There Any Overtrading in Stock Markets? The Moderating Role of Big Five Personality Traits and Gender in a Unilateral Trend Stock Market

    Science.gov (United States)

    Zhang, Jian; Wang, Haocheng; Wang, Limin; Liu, Shuyi

    2014-01-01

    Overtrading is a common anomaly among stock investors. This study examines the relationship between overtrading and investment returns and the impact of the Big Five traits and gender on overtrading in a unilateral trend stock market using a simulated stock investment system. The data were derived from a sample of undergraduates from six universities who performed in a simulated stock investment situation and had their personality traits measured by the Big Five Personality Questionnaire. The results indicate that: (1) Overtrading was significant in rising stock markets, but not significant in falling markets. (2) The degree of female investors who overtraded was significant in rising markets. (3) The degree of overtrading investors who were high in extroversion or agreeableness was significant in rising markets. The implications of these results for more effective investment strategies are discussed. PMID:24475235

  9. Is there any overtrading in stock markets? The moderating role of big five personality traits and gender in a unilateral trend stock market.

    Science.gov (United States)

    Zhang, Jian; Wang, Haocheng; Wang, Limin; Liu, Shuyi

    2014-01-01

    Overtrading is a common anomaly among stock investors. This study examines the relationship between overtrading and investment returns and the impact of the Big Five traits and gender on overtrading in a unilateral trend stock market using a simulated stock investment system. The data were derived from a sample of undergraduates from six universities who performed in a simulated stock investment situation and had their personality traits measured by the Big Five Personality Questionnaire. The results indicate that: (1) Overtrading was significant in rising stock markets, but not significant in falling markets. (2) The degree of female investors who overtraded was significant in rising markets. (3) The degree of overtrading investors who were high in extroversion or agreeableness was significant in rising markets. The implications of these results for more effective investment strategies are discussed.

  10. Is there any overtrading in stock markets? The moderating role of big five personality traits and gender in a unilateral trend stock market.

    Directory of Open Access Journals (Sweden)

    Jian Zhang

    Full Text Available Overtrading is a common anomaly among stock investors. This study examines the relationship between overtrading and investment returns and the impact of the Big Five traits and gender on overtrading in a unilateral trend stock market using a simulated stock investment system. The data were derived from a sample of undergraduates from six universities who performed in a simulated stock investment situation and had their personality traits measured by the Big Five Personality Questionnaire. The results indicate that: (1 Overtrading was significant in rising stock markets, but not significant in falling markets. (2 The degree of female investors who overtraded was significant in rising markets. (3 The degree of overtrading investors who were high in extroversion or agreeableness was significant in rising markets. The implications of these results for more effective investment strategies are discussed.

  11. Stock Market Prices and the Market for Corporate Control

    OpenAIRE

    Armour, John; Cheffins, Brian Robert

    2016-01-01

    The manner in which hostile takeovers have historically been executed has just begun to receive serious academic attention. Similarly, while the literature on the accuracy and determinants of share prices is voluminous, there has been little systematic historical analysis of when and how modern standards of share price efficiency took shape. This article addresses both subjects in depth to ascertain the extent to which developments in the market for corporate control may have been associated ...

  12. Fluctuations of trading volume in a stock market

    Science.gov (United States)

    Hong, Byoung Hee; Lee, Kyoung Eun; Hwang, Jun Kyung; Lee, Jae Woo

    2009-03-01

    We consider the probability distribution function of the trading volume and the volume changes in the Korean stock market. The probability distribution function of the trading volume shows double peaks and follows a power law, P(V/)∼( at the tail part of the distribution with α=4.15(4) for the KOSPI (Korea composite Stock Price Index) and α=4.22(2) for the KOSDAQ (Korea Securities Dealers Automated Quotations), where V is the trading volume and is the monthly average value of the trading volume. The second peaks originate from the increasing trends of the average volume. The probability distribution function of the volume changes also follows a power law, P(Vr)∼Vr-β, where Vr=V(t)-V(t-T) and T is a time lag. The exponents β depend on the time lag T. We observe that the exponents β for the KOSDAQ are larger than those for the KOSPI.

  13. Contrarian Investment Philosophy in the American Stock Market

    DEFF Research Database (Denmark)

    Bondo Hansen, Kristian

    2015-01-01

    This paper contributes to the understanding of the role of crowds in the financial market by examining the historical origins and theoretical underpinnings of contrarian investment philosophy. Developed in non-scientific, practice-oriented ‘how to’ handbooks in 1920s and 1930s America, contrarian...... investment advice was aimed at so-called small investors rather than well-established market practitioners. Emerging out of late-nineteenth- and early-twentieth-century debates about public participation in the stock market, the contrarians expanded on a widely held (amongst financial writers) scepticism...... about the investment and speculation skills (or lack thereof) of the masses and adopted ideas from the theoretical discipline of crowd psychology, whereby they positioned the mass (i.e. the crowd) in opposition to the successful investor. I argue that despite its idiosyncrasies, the contrarians...

  14. Quantifying the relationship between financial news and the stock market.

    Science.gov (United States)

    Alanyali, Merve; Moat, Helen Susannah; Preis, Tobias

    2013-12-20

    The complex behavior of financial markets emerges from decisions made by many traders. Here, we exploit a large corpus of daily print issues of the Financial Times from 2(nd) January 2007 until 31(st) December 2012 to quantify the relationship between decisions taken in financial markets and developments in financial news. We find a positive correlation between the daily number of mentions of a company in the Financial Times and the daily transaction volume of a company's stock both on the day before the news is released, and on the same day as the news is released. Our results provide quantitative support for the suggestion that movements in financial markets and movements in financial news are intrinsically interlinked.

  15. How long is the memory of the US stock market?

    Science.gov (United States)

    Ferreira, Paulo; Dionísio, Andreia

    2016-06-01

    The Efficient Market Hypothesis (EMH), one of the most important hypothesis in financial economics, argues that return rates have no memory (correlation) which implies that agents cannot make abnormal profits in financial markets, due to the possibility of arbitrage operations. With return rates for the US stock market, we corroborate the fact that with a linear approach, return rates do not show evidence of correlation. However, linear approaches might not be complete or global, since return rates could suffer from nonlinearities. Using detrended cross-correlation analysis and its correlation coefficient, a methodology which analyzes long-range behavior between series, we show that the long-range correlation of return rates only ends in the 149th lag, which corresponds to about seven months. Does this result undermine the EMH?

  16. Energy prices, volatility, and the stock market. Evidence from the Eurozone

    International Nuclear Information System (INIS)

    Oberndorfer, Ulrich

    2009-01-01

    This paper constitutes a first analysis on stock returns of energy corporations from the Eurozone. It focuses on the relationship between energy market developments and the pricing of European energy stocks. According to our results, oil price hikes negatively impact on stock returns of European utilities. However, they lead to an appreciation of oil and gas stocks. Interestingly, forecastable oil market volatility negatively affects European oil and gas stocks, implying profit opportunities for strategic investors. In contrast, the gas market does not play a role for the pricing of Eurozone energy stocks. Coal price developments affect the stock returns of European utilities. However, this effect is small compared to oil price impacts, although oil is barely used for electricity generation in Europe. This suggests that for the European stock market, the oil price is the main indicator for energy price developments as a whole. (author)

  17. Market impact and trading profile of hidden orders in stock markets.

    Science.gov (United States)

    Moro, Esteban; Vicente, Javier; Moyano, Luis G; Gerig, Austin; Farmer, J Doyne; Vaglica, Gabriella; Lillo, Fabrizio; Mantegna, Rosario N

    2009-12-01

    We empirically study the market impact of trading orders. We are specifically interested in large trading orders that are executed incrementally, which we call hidden orders. These are statistically reconstructed based on information about market member codes using data from the Spanish Stock Market and the London Stock Exchange. We find that market impact is strongly concave, approximately increasing as the square root of order size. Furthermore, as a given order is executed, the impact grows in time according to a power law; after the order is finished, it reverts to a level of about 0.5-0.7 of its value at its peak. We observe that hidden orders are executed at a rate that more or less matches trading in the overall market, except for small deviations at the beginning and end of the order.

  18. Interactions between the Real Economy and the Stock Market: A Simple Agent-Based Approach

    Directory of Open Access Journals (Sweden)

    Frank Westerhoff

    2012-01-01

    Full Text Available We develop a simple behavioral macromodel to study interactions between the real economy and the stock market. The real economy is represented by a Keynesian-type goods market approach while the setup for the stock market includes heterogeneous speculators. Using a mixture of analytical and numerical tools we find, for instance, that speculators may create endogenous boom-bust dynamics in the stock market which, by spilling over into the real economy, can cause lasting fluctuations in economic activity. However, fluctuations in economic activity may, by shaping the firms' fundamental values, also have an impact on the dynamics of the stock market.

  19. Time-varying long term memory in the European Union stock markets

    Science.gov (United States)

    Sensoy, Ahmet; Tabak, Benjamin M.

    2015-10-01

    This paper proposes a new efficiency index to model time-varying inefficiency in stock markets. We focus on European stock markets and show that they have different degrees of time-varying efficiency. We observe that the 2008 global financial crisis has an adverse effect on almost all EU stock markets. However, the Eurozone sovereign debt crisis has a significant adverse effect only on the markets in France, Spain and Greece. For the late members, joining EU does not have a uniform effect on stock market efficiency. Our results have important implications for policy makers, investors, risk managers and academics.

  20. The Time-Varying Risk and Return Trade Off in Indian Stock Markets

    OpenAIRE

    Mohanty, Roshni; P, Srinivasan

    2014-01-01

    This paper investigates the relationship between stock market returns and volatility in the Indian stock markets using AR(1)-EGARCH(p, q)-in-Mean model. The study considers daily closing prices of two major indexes of Indian stock exchanges, viz., S&P CNX NIFTY and the BSE-SENSEX of National Stock Exchange (NSE) and Bombay Stock Exchange (BSE), respectively for the period from July 1, 1997 to December 31, 2013. The empirical results show positive but insignificant relationship between stock r...

  1. An Empirical Analysis Of Stock Returns And Volatility: The Case Of Stock Markets From Central And Eastern Europe

    Directory of Open Access Journals (Sweden)

    Okičić Jasmina

    2015-04-01

    Full Text Available The main goal of this paper is to investigate the behaviour of stock returns in the case of stock markets from Central and Eastern Europe (CEE, focusing on the relationship between returns and conditional volatility. Since there is relatively little empirical research on the volatility of stock returns in underdeveloped stock markets, with even fewer studies on markets in the transitional economies of the CEE region, this paper is designed to shed some light on the econometric modelling of the conditional mean and volatility of stock returns from this region. The results presented in this paper provide confirmatory evidence that ARIMA and GARCH processes provide parsimonious approximations of mean and volatility dynamics in the case of the selected stock markets. There is overwhelming evidence corroborating the existence of a leverage effect, meaning that negative shocks increase volatility more than positive shocks do. Since financial decisions are generally based upon the trade-off between risk and return, the results presented in this paper will provide valuable information in decision making for those who are planning to invest in stock markets from the CEE region.

  2. Efficiency of Crobex and Crobex10 Stock Market Indicies

    Directory of Open Access Journals (Sweden)

    Armin Habibovic

    2017-12-01

    Full Text Available The work of Haugen and Baker (1991 and Grinold (1992 has shown that market capitalisation-weighted indices are not mean-variance efficient. Further research by Amenc, Goltz, and Le Sourd (2006 proves that even naïve equal weighting can offer a better risk to return trade-off to investors in the developed markets. Based on earlier research findings of Zoricic, Dolinar, and Kozul (2014 and Dolinar, Zoricic and Kozul (2017 for the Croatian market which demonstrated that outperforming the cap-weighted index in an illiquid and undeveloped market is much more challenging the aim of this paper is to assess the efficiency of both CROBEX and CROBEX10 stock market indices. Efficient frontier was derived based on historical data (“ex post” for 5 revisions for each index. The distance from the efficient frontier was calculated revealing weaker efficiency but also greater diversification opportunities in the case of the broader CROBEX index. However, lower efficiency gains and higher estimation error in emerging market environment reduce significantly the out-ofsample potential for efficient index benchmarks. The analysis conducted in this paper makes it hard to assess if such potential truly exists but provides an insight based on calculation of indifference transaction costs following the work of Amenc et al. (2011.

  3. Testing Weak-Form Efficiency of The Chinese Stock Market and Hong Kong Stock Market

    OpenAIRE

    Lei, Zhuolin

    2012-01-01

    This study examines the random walk hypothesis to determine the validity of weak-form efficiency for Shanghai, Shenzhen and Hong Kong Stock Exchanges. Daily returns from 2001-2010 for Shanghai A and B shares, Shenzhen A and B shares and Hong Kong Hang Seng Index are used in this study. The random walk hypothesis is examined by using four statistical methods, namely a serial correlation test, an Augmented Dickey-Fuller Unit Root test, a runs test and a variance ratio test. The empirical re...

  4. Soccer and stock market risk: empirical evidence from the Istanbul Stock Exchange.

    Science.gov (United States)

    Berument, M Hakan; Ceylan, Nildag Basak

    2013-06-01

    There is an emerging but important literature on the effects of sport events such as soccer on stock market returns. After a soccer team's win, agents discount future events more favorably and increase risk tolerance. Similarly, after a loss, risk tolerance decreases. This paper directly assesses risk tolerance after a sports event by using daily data from the three major soccer teams in Turkey (Beşiktaşç Fenerbahge and Galatasaray). Results provide evidence that risk tolerance increases after a win, but similar patterns were not found after a loss.

  5. Application of Markowitz Model on Romanian Stock Market

    Directory of Open Access Journals (Sweden)

    Zavera Ioana Coralia

    2017-04-01

    Full Text Available Performance evaluation of financial instruments has become a concern for more and more economists, while security trading activities have developed over time. “Modern portfolio theory” comprises statistical and mathematical models which describe various ways in order to evaluate and especially analyse profitability and risk of these portfolios. This article offers an application of this type of model on Romanian stock market, the Markowitz model, by focusing on portfolios comprising three securities, and determining the efficient frontier and the minimum variance portfolio.

  6. Forecasting stock market volatility: Do realized skewness and kurtosis help?

    Science.gov (United States)

    Mei, Dexiang; Liu, Jing; Ma, Feng; Chen, Wang

    2017-09-01

    In this study, we investigate the predictability of the realized skewness (RSK) and realized kurtosis (RKU) to stock market volatility, that has not been addressed in the existing studies. Out-of-sample results show that RSK, which can significantly improve forecast accuracy in mid- and long-term, is more powerful than RKU in forecasting volatility. Whereas these variables are useless in short-term forecasting. Furthermore, we employ the realized kernel (RK) for the robustness analysis and the conclusions are consistent with the RV measures. Our results are of great importance for portfolio allocation and financial risk management.

  7. Fractal stock markets: International evidence of dynamical (in)efficiency

    Science.gov (United States)

    Bianchi, Sergio; Frezza, Massimiliano

    2017-07-01

    The last systemic financial crisis has reawakened the debate on the efficient nature of financial markets, traditionally described as semimartingales. The standard approaches to endow the general notion of efficiency of an empirical content turned out to be somewhat inconclusive and misleading. We propose a topological-based approach to quantify the informational efficiency of a financial time series. The idea is to measure the efficiency by means of the pointwise regularity of a (stochastic) function, given that the signature of a martingale is that its pointwise regularity equals 1/2 . We provide estimates for real financial time series and investigate their (in)efficient behavior by comparing three main stock indexes.

  8. Analysis of stock market anomalies: US cross-sectoral comparison

    OpenAIRE

    Jílek, Lukáš

    2012-01-01

    The purpose of this thesis is to analyze anomalies in the US stock market. Special attention is put on Day of the week effect, January effect, and Part of the month effect. We focus on comparison of companies with low and high capitalization. We perform an analysis across 6 major industrial sectors. Then, we discuss the findings with results of past projects and finally, we try to find a speculative investment strategy. We found out that neither Day of the week effect nor January effect do no...

  9. Trump's Elected Shock Effect in Indonesian Stock Market

    OpenAIRE

    Sagita, Vietha Devia

    2017-01-01

    It is inevitable that the presidential election in the United States can caused stock market fluctuations both in the United States alone as well as in other countries, for example Indonesia. Using regression method and chow test this study aimed at the effects before and after the election of Donald Trump as president of the United States on November 8, 2016. Using the data series shares the value of DJIA and ICI, this study analyzes the emergence of shock due to the change of president in U...

  10. Stock market speculation: Spontaneous symmetry breaking of economic valuation

    Science.gov (United States)

    Sornette, Didier

    2000-09-01

    Firm foundation theory estimates a security's firm fundamental value based on four determinants: expected growth rate, expected dividend payout, the market interest rate and the degree of risk. In contrast, other views of decision-making in the stock market, using alternatives such as human psychology and behavior, bounded rationality, agent-based modeling and evolutionary game theory, expound that speculative and crowd behavior of investors may play a major role in shaping market prices. Here, we propose that the two views refer to two classes of companies connected through a "phase transition". Our theory is based on (1) the identification of the fundamental parity symmetry of prices (p→-p), which results from the relative direction of payment flux compared to commodity flux and (2) the observation that a company's risk-adjusted growth rate discounted by the market interest rate behaves as a control parameter for the observable price. We find a critical value of this control parameter at which a spontaneous symmetry-breaking of prices occurs, leading to a spontaneous valuation in absence of earnings, similarly to the emergence of a spontaneous magnetization in Ising models in absence of a magnetic field. The low growth rate phase is described by the firm foundation theory while the large growth rate phase is the regime of speculation and crowd behavior. In practice, while large "finite-time horizon" effects round off the predicted singularities, our symmetry-breaking speculation theory accounts for the apparent over-pricing and the high volatility of fast growing companies on the stock markets.

  11. Effects of daylight-saving time changes on stock market returns and stock market volatility: rebuttal.

    Science.gov (United States)

    Kamstra, Mark J; Kramer, Lisa A; Levi, Maurice D

    2013-02-01

    In a 2011 reply to our 2010 comment in this journal, Berument and Dogen maintained their challenge to the existence of the negative daylight-saving effect in stock returns reported by Kamstra, Kramer, and Levi in 2000. Unfortunately, in their reply, Berument and Dogen ignored all of the points raised in the comment, failing even to cite the Kamstra, et al. comment. Berument and Dogen continued to use inappropriate estimation techniques, over-parameterized models, and low-power tests and perhaps most surprisingly even failed to replicate results they themselves reported in their previous paper, written by Berument, Dogen, and Onar in 2010. The findings reported by Berument and Dogen, as well as by Berument, Dogen, and Onar, are neither well-supported nor well-reasoned. We maintain our original objections to their analysis, highlight new serious empirical and theoretical problems, and emphasize that there remains statistically significant evidence of an economically large negative daylight-saving effect in U.S. stock returns. The issues raised in this rebuttal extend beyond the daylight-saving effect itself, touching on methodological points that arise more generally when deciding how to model financial returns data.

  12. SUPPLY AND DEMAND ON THE RUSSIAN STOCK MARKET: A SOCIOECONOMIC ANALYSIS

    Directory of Open Access Journals (Sweden)

    Podgornyy Boris Borisovich

    2013-03-01

    Full Text Available The stock market in advanced economies allows people to participate in the economic development by investing their savings in equities of leading and emerging industries. It solves a number of economic and social problems. There is less than 1% of the population takes part in investing in shares and other securities In Russia. The structure of Russian commercial organizations, the supply and demand of the Russian stock market are analyzes in the paper. Also the results of original sociological research explains the meaning of the factors wich are limiting the population to investing in the stock market instruments. And there are some measures proposed for the further development of the Russian stock market. The results of the research have both theoretical and practical significance. That can be used in the development of national and regional activities aimed at the development of the Stock Market and attracting the Russian population to invest the Stock Market instruments.

  13. Relationships among energy price shocks, stock market, and the macroeconomy: evidence from China.

    Science.gov (United States)

    Cong, Rong-Gang; Shen, Shaochuan

    2013-01-01

    This paper investigates the interactive relationships among China energy price shocks, stock market, and the macroeconomy using multivariate vector autoregression. The results indicate that there is a long cointegration among them. A 1% rise in the energy price index can depress the stock market index by 0.54% and the industrial value-adding growth by 0.037%. Energy price shocks also cause inflation and have a 5-month lag effect on stock market, which may result in the stock market "underreacting." The energy price can explain stock market fluctuations better than the interest rate over a longer time period. Consequently, investors should pay greater attention to the long-term effect of energy on the stock market.

  14. 76 FR 3188 - Self-Regulatory Organizations; NASDAQ Stock Market LLC; Notice of Filing and Immediate...

    Science.gov (United States)

    2011-01-19

    ...-Regulatory Organizations; NASDAQ Stock Market LLC; Notice of Filing and Immediate Effectiveness of Proposed Rule Change Relating to Routing Fees for the NASDAQ Options Market January 12, 2011. Pursuant to... is hereby given that on January 6, 2011, The NASDAQ Stock Market LLC (``NASDAQ'' or ``Exchange...

  15. Applying an international CAPM to herding behaviour model for integrated stock markets

    Directory of Open Access Journals (Sweden)

    Najmudin Najmudin

    2017-12-01

    Full Text Available Development of financial globalization in the form of stock market integration experiences a trend which is getting stronger. The analysis models in the field of finance and investments should be able to adjust to these developments. This adjustment includes the models used to detect the existence of herding behavior. All this time, the herding behavior model of individual stocks towards market consensus has been referring to CAPM theory. The basic assumption of CAPM is that financial assets at a domestic stock market are segmented from the financial assets’ movement at the global market. Therefore, this paper aims to provide an alternative view in the form of an international herding model that should be applied in the context of an integrated stock market. The model was created with reference to the international CAPM. This paper combined ICAPM method and international CSAD model to identify herding for eight stock markets, the sample period being from January 2003 to December 2016. The result found that for segmented stock markets, represented by China and the Philippines, herding happened for both overall the sample period and the market crisis period. In addition, for the integrated stock markets, represented by Indonesia, Japan, Malaysia, Singapore, Thailand, and the UK, herding behavior was only found during the market crisis period. Therefore, classification of market integrations should be considered in assessing the herding behaviour at stock markets.

  16. Are Vietnam and Chinese stock markets out of the US contagion effect in extreme events?

    Science.gov (United States)

    Nguyen, Cuong; Ishaq Bhatti, M.; Henry, Darren

    2017-08-01

    This paper employs Chi-plots, Kendall (K)-plots and three different copula functions to empirically examine the tail dependence between the US stock market and stock markets in Vietnam and China in order to test contagion effects pre- and post- the US subprime mortgage crisis. The results based on data between 2003 and 2011 indicate the presence of left tail dependence before and after the crisis suggesting no change in dependence structure, but there exists stronger left tail dependence between the US and Vietnam stock markets. It is observed that the US and Vietnam stock markets are more prone to crashing than booming together. For the Chinese market, the US and Shanghai stock markets exhibit left tail dependence before the crisis, but no evidence of post-crisis tail dependency. On the contrary, the Shenzhen stock market is independent of the US market before and after the crisis which implies that an extreme event in the US market is less likely to influence the Shenzhen stock market. This suggests that there is significant potential for risk diversification by investing in the Shenzhen market by US investors after the financial crisis. These results have not been documented in the existing literature and provide a new insight into risk diversification between the two important Asian emerging stock markets.

  17. The long-term memory analysis of industrial indices of the Chinese stock market

    International Nuclear Information System (INIS)

    Yong, L

    2008-01-01

    The main work of this paper is to apply the fractional market theory and time series analysis for analyzing various industrial indices of the Chinese stock market by rescaling range analysis. Hurst index and the long-term memory of price change in Chinese stock market are studied

  18. Financial links between the stock market and the debt securities market

    Directory of Open Access Journals (Sweden)

    Francisco Eduardo de Luna e Almeida Santos

    2008-07-01

    Full Text Available The aim of this paper is to measure the endogenous relationship between stock and bond markets. To recover the structural form of this relationship, the author applied the method of identification through heteroskedasticity. Both coefficients were found to be negative which is consistent with the notion that, given an opportunity cost of capital, the returns move in opposite directions in order to promote the equilibrium of the capital flow. However, only the coefficient that measures the impact of bond market over stock markets was significantly different from zero. Thus, the intensity of this relationship also depends on the relative size of the markets under study.

  19. Analyzing the Stock Markets Role as a Source of Capital Formation in Pakistan

    Directory of Open Access Journals (Sweden)

    Hakim Ali Kanasro

    2011-12-01

    Full Text Available This paper is to examine the stock markets role in the capital formation in Pakistan from the period 1st January 2001 to 31st December 2008. This analytical study is based on the data collected from the secondary sources such as State Bank of Pakistan and three stock exchanges; Karachi, Lahore and Islamabad Stock exchanges. The stock market size of capital, number of listed companies and liquidity positions has been examined in the study. The study reveals that Karachi Stock exchange is the oldest and biggest Stock exchange of Pakistan and it is the first mover to adapt institutional developments, new policies and procedures in the business of securities exchange and shares a big role in the capital formation in Pakistan. In recent years all stock exchanges have implemented the advanced technology and fully automated trading systems. This has changed the stock markets role in the capital formation as great boom has been observed during the study period.

  20. Temporal causal relationship between stock market capitalization, trade openness and real GDP: evidence from Thailand

    OpenAIRE

    Jiranyakul, Komain

    2014-01-01

    This study examines both short-run and long-run causal relationship between stock market capitalization, trade openness and economic growth in Thailand. Quarterly data over the period from the first quarter of 1993 to the fourth quarter of 2013 are used in the analysis. The results from this study show that there exists a unidirectional long-run causality running from stock market capitalization and trade openness to real GDP. In the short run, stock market capitalization does not causes econ...

  1. STOCK MARKET AND TAX REVENUE COLLECTION IN MALAYSIA: EVIDENCE FROM COINTEGRATION AND CAUSALITY TESTS

    OpenAIRE

    Roshaiza Taha

    2013-01-01

    This study empirically examined the relationship between stock market performance and taxation in Malaysia over the period 1980 to 2008. The Gregory Hansen methodology was utilized to examine which tax collected by Malaysia’s Government most impacted stock market performance in Malaysia. The results show that stock market performance contributes most to the changes in company tax revenue as compared to personal taxes and real property gain taxes. In addition, the analysis detects a signific...

  2. Evidence of the overconfidence bias in the Egyptian stock market in different market states

    Directory of Open Access Journals (Sweden)

    Ayman H. Metwally

    2015-11-01

    Full Text Available Traditional finance theories fail to explain several anomalies observed in security markets. High levels of market turnover are among the most challenging market puzzles that have been documented in many security markets. Several studies assert the correlation between past market return and current market turnover. Behavioral finance theories assume that overconfidence bias is the reason behind this relation. Hence, this paper aims to study the impact of overconfidence – a behavioral bias stemming from the second building block of behavioral finance “cognitive psychology” and affecting traders’ beliefs and thereby their trading behavior in form of excessive trading. DeBondt and Tahler (1995. The study tests the overconfidence bias in the Egyptian Stock market during the period from 2002 till 2012 on the aggregate market level trough examining the relation between market returns and market turnover in different market states, seeking to document or deny whether overconfidence bias encourages investors to trade or not . The whole period is divided into four sub periods; two tranquil upward trending (2005-2005 and (2005-2008 and two volatile and down ward trending (financial crisis 2008-2010 and the (Egyptian Revolution Period 2010-2012 A quantitative research using secondary data and applying time series statistical techniques is designed. The research is following Statman et al. (2006 methodology. Time series analysis, which is based on four statistical techniques; mainly Vector Auto Regression, Optimal Lag Selection, Impulse Response Function and Granger Causality Tests are being used. Market Turnover ratios are used as proxies for overconfidence. The research finds a significant impact of past market return on current turnover in lag1, then turns negative in lag 2, and returns back positive in lag3, then remains positive and significant until lag5. This is in line with the overconfidence and self-attribution theory of Denial et al

  3. 136 Tax Revenue, Stock Market and Economic Growth of Pakistan

    Directory of Open Access Journals (Sweden)

    Muhammad Irfan Javaid Attari

    2014-10-01

    Full Text Available The purpose of this paper is to examine the effects of capital market and fiscal policy influences in determining the nexus of economic growth in Pakistan from July 2003 to July 2012. The authors utilize ADF unit root test, Johansen Cointegration test, VECM test, Granger causality test and variance decomposition analysis to test the relationship among tax revenue, stock market and economic growth in Pakistan. Granger causality analysis is used to answer questions whether “Does tax revenue cause the economic growth?” or “Does tax revenue cause the capital market?”. The results demonstrate that there is a bidirectional casualty between tax revenue and economic growth; and a unidirectional causality from capital market to tax revenue. The estimated result shows that growth of Pakistan economy is strongly contributed from the high collection of direct tax revenue and the development of financial market activity. The findings of this paper have important implications to current and potential investors in Pakistan economy to understand the economic condition of Pakistan and to assist them in making their investment decision.

  4. The new capitalists: a structural change from the stock market economy to the free market economy

    Science.gov (United States)

    Khoshyaran, M.

    2004-12-01

    In this paper an alternative mechanism to the stock market is proposed. Two elements are taken away: (1) middlemen, and (2) shareholder lack of involvement. Structural elements are identified. Equilibrium-stability conditions are defined. A measures of effectiveness is suggested.

  5. EARNINGS MANAGEMENT: DETERMINANT FACTORS AND STOCK PRICE IN DEVELOPING MARKET

    Directory of Open Access Journals (Sweden)

    Zaenal Fanani

    2017-03-01

    Full Text Available The aim of this study was to prove whether manager coped its earnings for the purpose ofinformative or target opportunistic. Research also investigated whether investment opportunity setinfl uenced the choice of manager to report as opportunistic to hide performance, or to report earningmore informative concerning with debt, political cost, market share, and earning. Sample of thisresearch was chosen by using purposive sampling of 350 manufacturing business listed in the JakartaStock Exchange, started from 1997 up to 2002. Structural Equation Modeling (SEM by using programof Analysis of Moment Structures (AMOS was considered as the appropriate statistical technique toexamine pattern relation of formed model. The results showed that earning management conductedby manager in Developing Market such as Indonesia represented informative earning managementwhich meant all investors had more own belief in earning reporting, but this research could notprove that company owning high investment opportunity set tended to conduct informative earningmanagement.

  6. Dissecting cross-impact on stock markets: an empirical analysis

    Science.gov (United States)

    Benzaquen, M.; Mastromatteo, I.; Eisler, Z.; Bouchaud, J.-P.

    2017-02-01

    The vast majority of market impact studies assess each product individually, and the interactions between the different order flows are disregarded. This strong approximation may lead to an underestimation of trading costs and possible contagion effects. Transactions in fact mediate a significant part of the correlation between different instruments. In turn, liquidity shares the sectorial structure of market correlations, which can be encoded as a set of eigenvalues and eigenvectors. We introduce a multivariate linear propagator model that successfully describes such a structure, and accounts for a significant fraction of the covariance of stock returns. We dissect the various dynamical mechanisms that contribute to the joint dynamics of assets. We also define two simplified models with substantially less parameters in order to reduce overfitting, and show that they have superior out-of-sample performance.

  7. Web search queries can predict stock market volumes.

    Science.gov (United States)

    Bordino, Ilaria; Battiston, Stefano; Caldarelli, Guido; Cristelli, Matthieu; Ukkonen, Antti; Weber, Ingmar

    2012-01-01

    We live in a computerized and networked society where many of our actions leave a digital trace and affect other people's actions. This has lead to the emergence of a new data-driven research field: mathematical methods of computer science, statistical physics and sociometry provide insights on a wide range of disciplines ranging from social science to human mobility. A recent important discovery is that search engine traffic (i.e., the number of requests submitted by users to search engines on the www) can be used to track and, in some cases, to anticipate the dynamics of social phenomena. Successful examples include unemployment levels, car and home sales, and epidemics spreading. Few recent works applied this approach to stock prices and market sentiment. However, it remains unclear if trends in financial markets can be anticipated by the collective wisdom of on-line users on the web. Here we show that daily trading volumes of stocks traded in NASDAQ-100 are correlated with daily volumes of queries related to the same stocks. In particular, query volumes anticipate in many cases peaks of trading by one day or more. Our analysis is carried out on a unique dataset of queries, submitted to an important web search engine, which enable us to investigate also the user behavior. We show that the query volume dynamics emerges from the collective but seemingly uncoordinated activity of many users. These findings contribute to the debate on the identification of early warnings of financial systemic risk, based on the activity of users of the www.

  8. Financial news predicts stock market volatility better than close price

    Directory of Open Access Journals (Sweden)

    Adam Atkins

    2018-06-01

    Full Text Available The behaviour of time series data from financial markets is influenced by a rich mixture of quantitative information from the dynamics of the system, captured in its past behaviour, and qualitative information about the underlying fundamentals arriving via various forms of news feeds. Pattern recognition of financial data using an effective combination of these two types of information is of much interest nowadays, and is addressed in several academic disciplines as well as by practitioners. Recent literature has focused much effort on the use of news-derived information to predict the direction of movement of a stock, i.e. posed as a classification problem, or the precise value of a future asset price, i.e. posed as a regression problem. Here, we show that information extracted from news sources is better at predicting the direction of underlying asset volatility movement, or its second order statistics, rather than its direction of price movement. We show empirical results by constructing machine learning models of Latent Dirichlet Allocation to represent information from news feeds, and simple naïve Bayes classifiers to predict the direction of movements. Empirical results show that the average directional prediction accuracy for volatility, on arrival of new information, is 56%, while that of the asset close price is no better than random at 49%. We evaluate these results using a range of stocks and stock indices in the US market, using a reliable news source as input. We conclude that volatility movements are more predictable than asset price movements when using financial news as machine learning input, and hence could potentially be exploited in pricing derivatives contracts via quantifying volatility. Keywords: Machine learning, Natural language processing, Volatility forecasting, Technical analysis, Computational finance

  9. Web search queries can predict stock market volumes.

    Directory of Open Access Journals (Sweden)

    Ilaria Bordino

    Full Text Available We live in a computerized and networked society where many of our actions leave a digital trace and affect other people's actions. This has lead to the emergence of a new data-driven research field: mathematical methods of computer science, statistical physics and sociometry provide insights on a wide range of disciplines ranging from social science to human mobility. A recent important discovery is that search engine traffic (i.e., the number of requests submitted by users to search engines on the www can be used to track and, in some cases, to anticipate the dynamics of social phenomena. Successful examples include unemployment levels, car and home sales, and epidemics spreading. Few recent works applied this approach to stock prices and market sentiment. However, it remains unclear if trends in financial markets can be anticipated by the collective wisdom of on-line users on the web. Here we show that daily trading volumes of stocks traded in NASDAQ-100 are correlated with daily volumes of queries related to the same stocks. In particular, query volumes anticipate in many cases peaks of trading by one day or more. Our analysis is carried out on a unique dataset of queries, submitted to an important web search engine, which enable us to investigate also the user behavior. We show that the query volume dynamics emerges from the collective but seemingly uncoordinated activity of many users. These findings contribute to the debate on the identification of early warnings of financial systemic risk, based on the activity of users of the www.

  10. How Stock Markets Development Affect Endogenous Growth Theory

    Directory of Open Access Journals (Sweden)

    Najeb Masoud

    2013-10-01

    Full Text Available This paper can bedescribed as a significant exploratory study that will provide a significantcontribution to knowledge to consider crucial issues which need to be barriersto understanding or a temptation/ requirement to judge some practices as‘better’ than others for stock market development effective approach andimplement successful stock market performance and economic growth. Recentanalysis of the link between financial development and growth, gained frominsights acquired as a result of using the technique of endogenous growthmodels, has illustrated that growth without exogenous technical progress andthat growth rates could be related to technology, income distribution andinstitutional arrangements. This provides the theoretical background thatempirical studies have lacked; illustrating that financial intermediationaffects the level of economic growth. Resulting models have provided newimpetus to empirical research of the effects of financial development. Thebirth of the new endogenous growth theory has facilitated the development ofimproved growth models where the long-term rate could be affected by a numberof elements. These included technology, education and health policies in theprocess of economic development, capital accumulation, government policies andinstitutional activities in the role of financial development in economicgrowth.

  11. Information theory in econophysics: stock market and retirement funds

    Science.gov (United States)

    Vogel, Eugenio; Saravia, G.; Astete, J.; Díaz, J.; Erribarren, R.; Riadi, F.

    2013-03-01

    Information theory can help to recognize magnetic phase transitions, what can be seen as a way to recognize different regimes. This is achieved by means of zippers specifically designed to compact data in a meaningful way at is the case for compressor wlzip. In the present contribution we first apply wlzip to the Chilean stock market interpreting the compression rates for the files storing the minute variation of the IPSA indicator. Agitated days yield poor compression rates while calm days yield high compressibility. We then correlate this behavior to the value of the five retirement funds related to the Chilean economy. It is found that the covariance between the profitability of the retirement funds and the compressibility of the IPSA values of previous day is high for those funds investing in risky stocks. Surprisingly, there seems to be no great difference among the three riskier funds contrary to what could be expected from the limitations on the portfolio composition established by the laws that regulate this market.

  12. Economic Stress and Mental Health: The Relationship Between the Stock Market and Neurotic Disorder Doctor Visits.

    Science.gov (United States)

    Chen, Chun-Chih; Lin, Ying-Tzu; Liu, Tsai-Ching; Chen, Chin-Shyan

    2016-12-01

    This paper investigates the relationship between the stock market and the neurotic disorder doctor visits. We use aggregate data, partition the population by age and gender and examine the impact of changes in the stock market on neurotic disorders. Using doctor visits as a proxy measure of morbidity, we find evidence of some relationship between neurotic disorder morbidity and stock market variations. A stock market falling in a single day and the accumulation of daily stock market drops are both associated with more neurotic disorder doctor visits. We also observe more neurotic disorder doctor visits during periods of a low stock index for the elderly, regardless of gender. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

  13. Market reaction to grouping equities in stock markets: An empirical analysis on Borsa Istanbul

    Directory of Open Access Journals (Sweden)

    Yilmaz Yildiz

    2017-12-01

    Full Text Available The main aim of this study is to investigate the market reaction to stock grouping announcements in Borsa Istanbul which requires stocks to be classified into groups “A”, “B” and “C” according to their market capitalization and floating rates. By utilizing event study analysis, our results suggest that grouping announcements have significant effect on stock prices and trading volume. The event day positive (negative relationship between abnormal return and volume for the upgraded (downgraded stocks supports the downward sloping demand curve hypothesis. Moreover, findings also suggest that stocks which are upgraded to Group A are exposed to more attention which is in line with the attention hypothesis. The reverse is valid for the downgraded firms. We find no evidence of price reversals and long-term symmetrical liquidity effect which lead us to reject price pressure and liquidity hypotheses. Finally, we reach controversial evidence for the information hypothesis. Keywords: Equity grouping, Regulation, Price and volume effects, Jel Classification: G11, G12, G14

  14. Structure Characteristics of the International Stock Market Complex Network in the Perspective of Whole and Part

    Directory of Open Access Journals (Sweden)

    Guangxi Cao

    2017-01-01

    Full Text Available International stock market forms an abstract complex network through the fluctuation correlation of stock price index. Past studies of complex network almost focus on single country’s stock market. Here we investigate the whole and partial characteristics of international stock market network (ISMN (hereinafter referred to as ISMN. For the analysis on the whole network, we firstly determine the reasonable threshold as the basic of the following study. Robustness is applied to analyze the stability of the network and the result shows that ISMN has robustness against random attack but intentional attack breaks the connection integrity of ISMN rapidly. In the partial network, the sliding window method is used to analyze the dynamic evolution of the relationship between the Chinese (Shanghai stock market and the international stock market. The connection between the Chinese stock market and foreign stock markets becomes increasingly closer, and the links between them show a significant enhancement especially after China joined the WTO. In general, we suggest that transnational investors pay more attention to some significant event of the stock market with large degree for better risk-circumvention.

  15. THE INDONESIAN STOCK MARKET PERFORMANCE DURING ASIAN ECONOMIC CRISIS AND GLOBAL FINANCIAL CRISIS

    Directory of Open Access Journals (Sweden)

    MARIA PRAPTININGSIH

    2011-04-01

    Full Text Available Volatility in the stock market had strongly affected by the movement of publicly or even inside information. The movements of this information will generate the perspectives and expectations of investors in decision-making. How strong is the level of market efficiency in determining the movement of stock market, especially to achieve stability in the stock market during the economic crisis? How effective are the policies of central banks in controlling the movement of the stock market? This study aims to measure the factors that influence changes in the movement of stock price in Indonesian stock market in terms of market efficiency hypothesis. This research also aims to investigate the effectiveness of central bank policy in controlling and stabilizing the movement of stocks in Indonesia. The research will focus on the economic crisis in 1997 and the global crisis in 2008 as case studies. Thepaperutilizesthe vector error-correction model, impulse responses and variance decomposition in measuring the contribution of the factors that affect the movement of stock and determine the effectiveness of central bank policy. The findings are beneficialto central banks, governments, companies and investors in strengthening the Indonesian Stock Market particularly in facing the threat of financial crisis.

  16. Stock Splits and Liquidity for Two Major Capital Markets from Central–Eastern Europe

    Directory of Open Access Journals (Sweden)

    Józef Rudnicki

    2012-12-01

    Full Text Available In the stock market there occur some events that contradict the efficient market hypothesis therefore they are called anomalies. One of the mysterious corporate events which has attracted the attention of numerous researchers is a stock split. I perform the review of implications of splitting the stock for market liquidity of companies listed on the Warsaw Stock Exchange and the Vienna Stock Exchange. I use event study, in particular Market model method and Market adjusted return method, to inspect the behavior of abnormal changes in daily trading volume for stock splits performed between 2000 through 2011 over a short run and assuming a longer time interval. Moreover, I juxtapose the results for both stock exchanges to examine whether the stock split phenomenon for two major capital markets from this part of Europe can be better explained by means of existing theories on stock splits. The research is aimed at analyzing the implications of the split for market liquidity, i.e. whether there occurs an immediate effect following the split as well as whether this corporate event improves the level of market liquidity over long run. Furthermore, the goal of the paper is to investigate whether the investors can cash in on the stock split, more specifically, whether they can profit from lower transaction costs. I document a significant growth in the market liquidity of stock splitting firms over 36 months following the split for both capital markets what is indicative of lower transaction costs for investors. The 1–percent significant results are consistent with the liquidity hypothesis on stock splits.

  17. Hybrid system prediction for the stock market: The case of transitional markets

    Directory of Open Access Journals (Sweden)

    Ralević Nebojša

    2017-01-01

    Full Text Available The subject of this paper is the creation and testing of an enhanced fuzzy neural network backpropagation model for the prediction of stock market indexes, including the comparison with the traditional neural network backpropagation model. The objective of the research is to gather information concerning the possibilities of using the enhanced fuzzy neural network backpropagation model for the prediction of stock market indexes focusing on transitional markets. The methodology used involves the integration of fuzzified weights into the neural network. The research results will be beneficial both for the broader investment community and the academia, in terms of the application of the enhanced model in the investment decision-making, as well as in improving the knowledge in this subject matter.

  18. Price-volume multifractal analysis and its application in Chinese stock markets

    Science.gov (United States)

    Yuan, Ying; Zhuang, Xin-tian; Liu, Zhi-ying

    2012-06-01

    An empirical research on Chinese stock markets is conducted using statistical tools. First, the multifractality of stock price return series, ri(ri=ln(Pt+1)-ln(Pt)) and trading volume variation series, vi(vi=ln(Vt+1)-ln(Vt)) is confirmed using multifractal detrended fluctuation analysis. Furthermore, a multifractal detrended cross-correlation analysis between stock price return and trading volume variation in Chinese stock markets is also conducted. It is shown that the cross relationship between them is also found to be multifractal. Second, the cross-correlation between stock price Pi and trading volume Vi is empirically studied using cross-correlation function and detrended cross-correlation analysis. It is found that both Shanghai stock market and Shenzhen stock market show pronounced long-range cross-correlations between stock price and trading volume. Third, a composite index R based on price and trading volume is introduced. Compared with stock price return series ri and trading volume variation series vi, R variation series not only remain the characteristics of original series but also demonstrate the relative correlation between stock price and trading volume. Finally, we analyze the multifractal characteristics of R variation series before and after three financial events in China (namely, Price Limits, Reform of Non-tradable Shares and financial crisis in 2008) in the whole period of sample to study the changes of stock market fluctuation and financial risk. It is found that the empirical results verified the validity of R.

  19. Application of artificial neural network for the prediction of stock market returns: The case of the Japanese stock market

    International Nuclear Information System (INIS)

    Qiu, Mingyue; Song, Yu; Akagi, Fumio

    2016-01-01

    Accurate prediction of stock market returns is a very challenging task because of the highly nonlinear nature of the financial time series. In this study, we apply an artificial neural network (ANN) that can map any nonlinear function without a prior assumption to predict the return of the Japanese Nikkei 225 index. (1) To improve the effectiveness of prediction algorithms, we propose a new set of input variables for ANN models. (2) To verify the prediction ability of the selected input variables, we predict returns for the Nikkei 225 index using the classical back propagation (BP) learning algorithm. (3) Global search techniques, i.e., a genetic algorithm (GA) and simulated annealing (SA), are employed to improve the prediction accuracy of the ANN and overcome the local convergence problem of the BP algorithm. It is observed through empirical experiments that the selected input variables were effective to predict stock market returns. A hybrid approach based on GA and SA improve prediction accuracy significantly and outperform the traditional BP training algorithm.

  20. Bond-market skepticism and stock-market exuberance in the hospital industry.

    Science.gov (United States)

    Robinson, James C

    2002-01-01

    The hospital industry needs funds to refurbish physical facilities, upgrade clinical and information technologies, and rebuild financial positions weakened by past external challenges and unwise organizational strategies. The financial markets offer a marked contrast in capital access, as bond creditors remain skeptical while stock investors plunge back into the once-shunned industry. Ironically, high stock prices may drive the for-profit chains to repeat past cycles of overexpansion, while weak bond ratings may save non-profit systems from a comparable loss of focus on the core business of operating and improving inpatient facilities. This turbulence has implications for public payment, antitrust, and financial disclosure policies.

  1. Relationships between oil price shocks and stock market: An empirical analysis from China

    International Nuclear Information System (INIS)

    Cong Ronggang; Wei Yiming; Jiao Jianlin; Fan Ying

    2008-01-01

    This paper investigates the interactive relationships between oil price shocks and Chinese stock market using multivariate vector auto-regression. Oil price shocks do not show statistically significant impact on the real stock returns of most Chinese stock market indices, except for manufacturing index and some oil companies. Some 'important' oil price shocks depress oil company stock prices. Increase in oil volatility may increase the speculations in mining index and petrochemicals index, which raise their stock returns. Both the world oil price shocks and China oil price shocks can explain much more than interest rates for manufacturing index

  2. Relationships between oil price shocks and stock market: An empirical analysis from China

    DEFF Research Database (Denmark)

    Cong, Ronggang; Wei, Yi-Ming; Jiao, Jian-Ling

    2008-01-01

    This paper investigates the interactive relationships between oil price shocks and Chinese stock market using multivariate vector auto-regression. Oil price shocks do not show statistically significant impact on the real stock returns of most Chinese stock market indices, except for manufacturing...... index and some oil companies. Some “important” oil price shocks depress oil company stock prices. Increase in oil volatility may increase the speculations in mining index and petrochemicals index, which raise their stock returns. Both the world oil price shocks and China oil price shocks can explain...

  3. The Determinant Factors Of Sectoral Stock Return In Bullish And Bearish Condition At Indonesian Capital Market

    Directory of Open Access Journals (Sweden)

    Defrizal

    2015-07-01

    Full Text Available Abstract this study aims to explain determinant factors of sectoral stock return in bullish and bearish condition at Indonesian capital market. This study used a multi-factor asset pricing model with sectoral stock return as the dependent variable and stock market return interest rates and exchange rate as independent variables. The Identification of stock market condition by using a Markov Switching Models which are also used as the basis for segmenting the data into bullish and bearish conditions. Estimates of the model used the robust least square method. This study used data from Indonesian Stock Exchange to the observation period from January 1996 to December 2013. The results of this study were 1 simultaneously stock market return interest rates and exchange rate affected the sectoral stock return in bullish and bearish condition. 2 Partially the stock market return positively effect and is as a main factor in determining the sectoral stock return in all industries in either bullish condition or bearish condition while the effect of the interest rates and exchange rate do not consistently affect the sectoral stock return in different industries and market conditions.

  4. Determinants of Stock Market Co-Movements between Pakistan and Asian Emerging Economies

    Directory of Open Access Journals (Sweden)

    Muhammad Aamir

    2018-06-01

    Full Text Available This study analyzes the determinants of stock market co-movement between Pakistan and Asian emerging economies for the period 2001 to 2015. Augmented Dickey and Fuller (ADF and Philips-Perron (PP tests are applied to check co-integration between their stock markets. Results of this study reveal that there is long-term integration between the stock market of Pakistan and the stock markets of China, India, Indonesia, Korea, Malaysia and Thailand. This study reports the driving forces of the co-movement between the Pakistan and Asian emerging markets where co-integration is found. Results of the panel data reveal that there are significant underlying forces of integration between Pakistan and each Asian emerging stock market. The findings of this study have significant implications for policy makers in Pakistan who are designing strategies for macroeconomic harmonization and stability of the country’s economy against financial shocks.

  5. China’s Stock Market Integration with a Leading Power and a Close Neighbor

    Directory of Open Access Journals (Sweden)

    Zheng Yi

    2009-12-01

    Full Text Available Current integration and co-movement among international stock markets has been boosted by increased globalization of the world economy, and profit-chasing capital surfing across borders. With a reputation as the fastest growing economy in the world, China’s stock market has continued gaining momentum during recent years and incurred growing attention from academicians, as well as practitioners. Taking into account economic and geographical considerations, the US and Hong Kong are considerably the most comparable stock markets to China. The usual vector error correction model (VECM could overlook the long memory feature of cointegration residual series, which can in turn exert bias on the resulting inferences. To overcome its limitations, we employ a fractionally integrated VECM (FIVECM in this paper to investigate the long-term cointegration relations binding China’s stock market to the aforementioned stock markets. In addition, by augmenting the FIVECM with multivariate GARCH model, the return transmission and volatility spillover between market return series were revealed simultaneously. Our empirical results show that China’s stock market is fractionally cointegrated with the two markets, and it appears that China’s stock market has stronger ties with its neighboring Hong Kong market than with the world superpower, the US market.

  6. Analysis of the efficiency-integration nexus of Japanese stock market

    Science.gov (United States)

    Rizvi, Syed Aun R.; Arshad, Shaista

    2017-03-01

    This paper attempts a novel approach in analysing the Japanese economy through a dual-dimension analysis of its stock market, examining the efficiency and market integration. Taking a period of 24 years, this study employs MFDFA and MGARCH to understand how the efficiency and integration of the stock market faired during different business cycle phases of the Japanese economy. The results showed improving efficiency over the time period. For the case of market integration, our findings conform to recent literature on business cycles and stock market integration that every succeeding recession creates a break into integration levels resulting in a decrease.

  7. Stock Price Informativeness and Idiosyncratic Return Volatility in Emerging Markets: Evidence from China

    OpenAIRE

    Karen Jingrong Lin; Khondkar Karim; Clairmont Carter

    2014-01-01

    This study attempts to address two research questions on the idiosyncratic return volatility and stock price informativeness. First, whether idiosyncratic return volatility is a valid proxy for stock price informativeness in emerging markets, and if it is, whether there exists a monotonic relationship between the idiosyncratic return volatility and stock price informativeness throughout the whole sample. We find that the idiosyncratic return volatility reflects the stock price informativeness...

  8. DEA-BASED INVESTMENT STRATEGY AND ITS APPLICATION IN THE CROATIAN STOCK MARKET

    OpenAIRE

    Margareta Gardijan; Vedran Kojić

    2012-01-01

    This paper describes the DEA-based investment strategy for constructing of a stock portfolio in the Croatian stock market. The relative efficiency of the DMUs, which are in this case the selected stocks from Zagreb Stock Exchange, is obtained from the output oriented CCR and BCC models. The set of inputs consists of risk measures, namely return variance, Value at Risk (VaR) and beta coefficient $(\\beta)$, while monthly return represents an output. Following the „efficiency scores“, obtained f...

  9. 76 FR 48186 - Self-Regulatory Organizations; The NASDAQ Stock Market LLC; Notice of Filing and Immediate...

    Science.gov (United States)

    2011-08-08

    ...-Regulatory Organizations; The NASDAQ Stock Market LLC; Notice of Filing and Immediate Effectiveness of... is hereby given that, on July 27, 2011, The NASDAQ Stock Market LLC (the ``Exchange'' or ``NASDAQ... NASDAQ Stock Market and the NASDAQ Options Market. Currently, a member that provides shares of liquidity...

  10. An Empirical Analysis of the Effect of Stock Market Crisis on Economic Growth: The Nigerian Case

    Directory of Open Access Journals (Sweden)

    Omowunmi Felicia Olokoyo

    2011-08-01

    Full Text Available Stock market crashes are social phenomena where external economic events combine with crowd behavior and psychology in a positive feedback loop where selling by some market participants drives more market participants to sell. This study empirically established the relationship between stock market crisis and Nigeria’s economic growth and also showed the relationship between stock market price crash and the crisis itself. In this light, this paper examined the interactive influence of movements in the major indicators of the performance of the Nigerian Stock Exchange Market such as the Market Capitalization (MK, All Share Index (ASI, Number of Deals (NOD, Volume and Value of Stock (VV, Total Number of New Issues (TNI and Inflation (INFR on the Nigerian Gross Domestic Product (GDP using data from 1985-2009. To achieve the two objectives stated above, the Ordinary Least Square (OLS method was employed. To correct for the OLS result biasness the log was applied to GDP and MK and also AR(1 was introduced to the first model. The result shows that stock market crisis has a highly significant effect on Nigeria’s economic growth. The result also shows a significant relationship between stock market price crash and the market crisis itself. It is therefore recommended that in the face of the ongoing crisis in the global stock market, the Nigerian stock market authorities should aim at making the market meet a world class standard. Also, all the sectors of the economy should act in a collaborative manner such that optimum benefits can be realized from their economic activities in the Nigeria market even in the hub of global crisis.

  11. Unusual Market Activity Announcements: A Study of Price Manipulation on the Indonesian Stock Exchange

    Directory of Open Access Journals (Sweden)

    Mamduh M. Hanafi

    2010-05-01

    Full Text Available We investigate stocks involved in the Unusual Market Activity (UMA Announcements. The Indonesian Stock Exchange occasionally issues UMA announcements when it suspects that there are unusual price increases (positive UMAs or price decreases (negative UMAs, as well as unusual increases in trading volumes. We believe that UMA announcements signal a high probability that stocks are being manipulated. We find no differences in fundamentals and trading variables between stocks in the UMA announcements and those not in the UMA announcements. Any stock is vulnerable to market manipulation. Stocks in the UMA announcements do not exhibit reversal patterns, suggesting that price effect is permanent. UMAs seem to convey relevant information, which is most likely in the form of insider type of information. Keywords: emerging market; price manipulation; unusual market activity announcement.

  12. EFFECT OF INVESTOR SENTIMENT ON FUTURE RETURNS IN THE NIGERIAN STOCK MARKET

    Directory of Open Access Journals (Sweden)

    Udoka Bernard Alajekwu

    2017-06-01

    Full Text Available The study examined the effect of investor sentiment on future returns in the Nigerian stock market. The OLS regression and granger causality techniques were employed for data analyses. The results showed that (1 investor sentiment has a significant positive effect on stock market returns even after control for fundamentals such as Industrial production index, consumer price index and Treasury bill rate; (2 there is a uni-directional causality that runs from change in investor sentiment (ΔCCI to stock market returns (Rm. Derived finding showed that the inclusion of fundamentals increased the explanatory power of investor sentiment from 3.96% to 33.05%, though at both level, investor sentiment (ΔCCI has low explanatory power on stock market returns. The study posits existence of a dynamic relationship between investor sentiment and the behaviour of stock future returns in Nigeria such that higher sentiment concurrently leads to higher stock prices.

  13. Do Markets Cointegrate after Financial Crises? Evidence from G-20 Stock Markets

    Directory of Open Access Journals (Sweden)

    Mahfuzul Haque

    2015-12-01

    Full Text Available The results of the single-equation cointegration tests indicate that patterns of cointegration in the two main and four sub-periods are not homogeneous. Two key findings emerge from the study. First, fewer stock markets cointegrated with S&P 500 during the crisis period than they did during the pre-crisis. In other words, as the 2008 financial crisis deepened, S&P 500 and G-20 stock indices moved towards less cointegration. The decreasing number of cointegrating relationships implies that the U.S. stock markets and other G-20 markets have experienced different driving forces since the start of the U.S. crisis. Second, among those markets that are cointegrated with S&P 500, they happened to be deeply affected by S&P and the shocks emerging from it. The 2007–2009 financial crises can be considered a structural break in the long-run relationship and may have resulted from effective joint intervention/responses taken by members of G-20 nations.

  14. Impact of global financial crisis on stylized facts between energy markets and stock markets

    Science.gov (United States)

    Leng, Tan Kim; Cheong, Chin Wen; Hooi, Tan Siow

    2014-06-01

    Understanding the stylized facts is extremely important and has becomes a hot issue nowadays. However, recent global financial crisis that started from United States had spread all over the world and adversely affected the commodities and financial sectors of both developed and developing countries. This paper tends to examine the impact of crisis on stylized facts between energy and stock markets using ARCH-family models based on the experience over 2008 global financial crisis. Empirical results denote that there is long lasting, persists and positively significant the autocorrelation function of absolute returns and their squares in both markets for before and during crisis. Besides that, leverage effects are found in stock markets whereby bad news has a greater impact on volatility than good news for both before and during crisis. However, crisis does not indicate any impact on risk-return tradeoff for both energy and stock markets. For forecasting evaluations, GARCH model and FIAPARCH model indicate superior out of sample forecasts for before and during crisis respectively.

  15. Relationship between Gold and Oil Prices and Stock Market Returns

    Directory of Open Access Journals (Sweden)

    Muhammad Mansoor Baig

    2013-10-01

    Full Text Available This study objective to examine the relationship between gold prices, oil prices and KSE100 return. This study important for the investor whose want to invest in real assets and financial assets. This study helps investor to achieve the portfolio diversification. This study uses the monthly data of gold prices, KSE100, and oil prices for the period of 2000 to 2010 (monthly. This study applied Descriptive statistics, Augmented Dickey Fuller test Phillip Perron test, Johansen and Jelseluis Co-integration test, Variance Decomposition test to find relationship. This study concludes that Gold prices growth, Oil prices growth and KSE100 return have no significant relationship in the long run. This study provides information to the investors who want to get the benefit of diversification by investing in Gold, Oil and stock market. In the current era Gold prices and oil prices are fluctuating day by day and investors think that stock returns may or may not affected by these fluctuations. This study is unique because it focuses on current issues and takes the current data in this research to help the investment institutions or portfolio managers.

  16. An Empirical study of the Co-integration of the Indian stock market with select Stock Exchanges

    Directory of Open Access Journals (Sweden)

    Smita RAMAKRISHNA

    2017-07-01

    Full Text Available Fluctuations in the stock market can have an intense economic impact on the economy. This paper studies the inter-linkages between select stock markets. Daily closing levels of the benchmark indices are taken for a period of 15 years. The stationarity of the series has checked by applying line charts and unit-root test. Granger’s causality model and Vector Auto Regression (VAR model are performed to identify the integration among the markets chosen for study. The series was found to be stationary. Granger’s causality indicated that there is a causation effect by some of the markets uni-directionally. The results of Granger Causality test indicate a unidirectional causality from the Indian Market to Canada and China. In the reverse direction, Korea causes movements in the Indian markets

  17. Effects of Exponential Trends on Correlations of Stock Markets

    Directory of Open Access Journals (Sweden)

    Ai-Jing Lin

    2014-01-01

    Full Text Available Detrended fluctuation analysis (DFA is a scaling analysis method used to estimate long-range power-law correlation exponents in time series. In this paper, DFA is employed to discuss the long-range correlations of stock market. The effects of exponential trends on correlations of Hang Seng Index (HSI are investigated with emphasis. We find that the long-range correlations and the positions of the crossovers of lower order DFA appear to have no immunity to the additive exponential trends. Further, our analysis suggests that an increase in the DFA order increases the efficiency of eliminating on exponential trends. In addition, the empirical study shows that the correlations and crossovers are associated with DFA order and magnitude of exponential trends.

  18. Business Cycle and Risk Premium in the Colombian Stock Market

    Directory of Open Access Journals (Sweden)

    Andrés Mauricio Gómez Sánchez

    2013-11-01

    Full Text Available Through the Hodrick-Prescott methodology this paper presents a review about the relationship between the ex post risk premium of the stock market and business cycles observed in Colombia. Through quarterly information from the fourth quarter of 2001 to the third quarter of 2012, statistical evidence shows that the increase and decrease of ex post risk premium follow a countercyclical behavior in tune with existing research conducted about the United States and emerging economies, although with non-contemporary relationships with private consumption. In addition, it is found that in the last decade the Colombian risk premium follows a process of Auto Regressive Moving Average Models (ARMA, showing that there is no variation in at least two consecutive quarters and whose behavior is generated in part by external events at the domestic economic activity level experienced in near past periods.

  19. Liquidity spillover in international stock markets through distinct time scales.

    Science.gov (United States)

    Righi, Marcelo Brutti; Vieira, Kelmara Mendes

    2014-01-01

    This paper identifies liquidity spillovers through different time scales based on a wavelet multiscaling method. We decompose daily data from U.S., British, Brazilian and Hong Kong stock markets indices in order to calculate the scale correlation between their illiquidities. The sample is divided in order to consider non-crisis, sub-prime crisis and Eurozone crisis. We find that there are changes in correlations of distinct scales and different periods. Association in finest scales is smaller than in coarse scales. There is a rise on associations in periods of crisis. In frequencies, there is predominance for significant distinctions involving the coarsest scale, while for crises periods there is predominance for distinctions on the finest scale.

  20. Stock Prices, the Business Cycle and Contingent Change: Evidence from Bloomberg News Market Wraps

    OpenAIRE

    Nicholas Mangee

    2014-01-01

    This study provides evidence that stock market participants revise their forecasting strategies in response to macroeconomic news contingent on the state of the economy. This study utilizes Mangee (2011)'s novel dataset based on textual information contained in Bloomberg News's end-of-the-day stock market reports. A key finding is that macroeconomic news is reported to impact stock prices with a positive relation on some days and a negative one on others. The Bloomberg data show that, on aver...

  1. SPECULATIVE EFFICIENCY OF STOCK INDEX FUTURES MARKETS:AN ANALYSIS ON THE ASEAN MARKETS

    Directory of Open Access Journals (Sweden)

    Normas Awang

    2012-07-01

    Full Text Available The capital markets in emerging economies are undergoing rapid transformationdue to the advancement of technologicalinnovations and globalization of themarketplace. Thus, the risk managementmeasures are extremely importantthroughout the financial system. However,the scarcity of derivative instrumentssuch as futures and options in emergingmarkets, in addition to the failure togenerate liquidity, have made the emerging economies to be left behind in therecent development of the world capital markets. Whilethere are a great numberof earlier studies that analyse the efficiency of futures markets in differentcountries, there is a lack ofresearch that take intoaccount of the speculativeefficiency of futures markets which argues that futures prices are an unbiased forecast of the spot pricesas well as a crucial part offorecasting techniques. Thispaper aims to investigate the speculativeefficiency of stock index futures marketsin the ASEAN markets which comprises ofSingapore, Malaysia and Thailand byemploying an econometric time series dataanalysis ranging from January 2000 toDecember 2010.

  2. 77 FR 50191 - Self-Regulatory Organizations; The NASDAQ Stock Market LLC; Order Instituting Proceedings To...

    Science.gov (United States)

    2012-08-20

    ...-Regulatory Organizations; The NASDAQ Stock Market LLC; Order Instituting Proceedings To Determine Whether To Approve or Disapprove Proposed Rule Change To Establish ``Benchmark Orders'' Under NASDAQ Rule 4751(f) August 14, 2012. I. Introduction On May 1, 2012, The NASDAQ Stock Market LLC (``NASDAQ'' or ``Exchange...

  3. 78 FR 3928 - Self-Regulatory Organizations; The NASDAQ Stock Market LLC; Order Disapproving Proposed Rule...

    Science.gov (United States)

    2013-01-17

    ...-Regulatory Organizations; The NASDAQ Stock Market LLC; Order Disapproving Proposed Rule Change To Establish ``Benchmark Orders'' Under NASDAQ Rule 4751(f) January 11, 2013. I. Introduction On May 1, 2012, The NASDAQ Stock Market LLC (``NASDAQ'' or ``Exchange'') filed with the Securities and Exchange Commission...

  4. THE CONTRADICTIONS OF THE FORMATION OF FUNCTIONAL AND TARGET REGULATION OF THE STOCK MARKET OF UKRAINE

    Directory of Open Access Journals (Sweden)

    A. Kalach

    2013-07-01

    Full Text Available The characteristics of formation of the inversion type of the stock market and its contradictions were investigated, the necessity of transition to a functional-target regulation of the stock market was proved the ways of optimization of the institutional system by integrating the functions of regulatory authorities were proposed.

  5. Can the Stock Market Anticipate Future Operating Performance? Evidence from Equity Rights Issues

    NARCIS (Netherlands)

    Kabir, Mohammed Rezaul; Roosenboom, Peter

    2002-01-01

    This paper examines whether the stock market valuation impact is consistent with subsequent operating performance of firms. We use data for equity rights offerings - the widely adopted flotation method in the Netherlands. We first examine the stock market announcement effect of rights issues and

  6. Can the stock market anticipate future operating performance? Evidence from equity rights issues

    NARCIS (Netherlands)

    R. Kabir (Rezaul); P.G.J. Roosenboom (Peter)

    2002-01-01

    textabstractThis paper examines whether the stock market valuation impact is consistent with subsequent operating performance of firms. We use data for equity rights offerings - the widely adopted flotation method in the Netherlands. We first examine the stock market announcement effect of rights

  7. Empirical studies on the cross-section of corporate bond and stock markets

    NARCIS (Netherlands)

    van Zundert, Jeroen

    2018-01-01

    This dissertation contains five empirical studies on the efficiency of corporate bond and stock markets. In Chapter 2, the pricing of interest rate risk in the stock market is analyzed. Over the long run, 1927 to 2015, the price of bearing interest rate risk is positive as expected, but there is

  8. Cross-country differences in stock market development : a cultural view

    NARCIS (Netherlands)

    Jong, Eelke de; Semenov, Radislav

    2002-01-01

    Although during the last decades the importance of stock markets has increased in all OECD countries, the cross-country differences appear to be remarkably stable. In this paper we relate the factors determining cross-country differences in stock market activity to deeply rooted norms and values in

  9. Forecasting Performance of Asymmetric GARCH Stock Market Volatility Models

    Directory of Open Access Journals (Sweden)

    Hojin Lee

    2009-12-01

    Full Text Available We investigate the asymmetry between positive and negative returns in their effect on conditional variance of the stock market index and incorporate the characteristics to form an out-of-sample volatility forecast. Contrary to prior evidence, however, the results in this paper suggest that no asymmetric GARCH model is superior to basic GARCH(1,1 model. It is our prior knowledge that, for equity returns, it is unlikely that positive and negative shocks have the same impact on the volatility. In order to reflect this intuition, we implement three diagnostic tests for volatility models: the Sign Bias Test, the Negative Size Bias Test, and the Positive Size Bias Test and the tests against the alternatives of QGARCH and GJR-GARCH. The asymmetry test results indicate that the sign and the size of the unexpected return shock do not influence current volatility differently which contradicts our presumption that there are asymmetric effects in the stock market volatility. This result is in line with various diagnostic tests which are designed to determine whether the GARCH(1,1 volatility estimates adequately represent the data. The diagnostic tests in section 2 indicate that the GARCH(1,1 model for weekly KOSPI returns is robust to the misspecification test. We also investigate two representative asymmetric GARCH models, QGARCH and GJR-GARCH model, for our out-of-sample forecasting performance. The out-of-sample forecasting ability test reveals that no single model is clearly outperforming. It is seen that the GJR-GARCH and QGARCH model give mixed results in forecasting ability on all four criteria across all forecast horizons considered. Also, the predictive accuracy test of Diebold and Mariano based on both absolute and squared prediction errors suggest that the forecasts from the linear and asymmetric GARCH models need not be significantly different from each other.

  10. Intermarket Technical Research of the U.S. Capital Markets and the Czech Stock Market Performance

    Directory of Open Access Journals (Sweden)

    Jana Vychytilová

    2014-01-01

    Full Text Available Globalization of the capital markets increasingly leads the investors to understand the fundamentals and technicals of asset cross-correlations and the global asset allocation seems to be an important task. The paper measures product momentum correlations between the four leading global benchmarks Standard & Poor’s stock index, Thomson Reuters/Jefferies CRB index, 30-Year U.S. Treasury Bond Price index and Dollar Index and between these indices and the Czech stock PX index. Empirical results illustrate that statistically significant correlations between U.S. indices existed over some past period at the 95.0% confidence level. In addition, the significant relation between indices Standard & Poor’s stock index, Thomson Reuters/Jefferies CRB index and the Czech stock market PX during the past fifteen years has been detected. These conclusions were reached from an analysis of monthly data in the United States and the Czech Republic, from January 1999 to April 2014. The empirical results offer beneficial applications not only for investors to diversify their risk but also for policy-makers to allocate resources more efficiently.

  11. Statistical properties and pre-hit dynamics of price limit hits in the Chinese stock markets.

    Science.gov (United States)

    Wan, Yu-Lei; Xie, Wen-Jie; Gu, Gao-Feng; Jiang, Zhi-Qiang; Chen, Wei; Xiong, Xiong; Zhang, Wei; Zhou, Wei-Xing

    2015-01-01

    Price limit trading rules are adopted in some stock markets (especially emerging markets) trying to cool off traders' short-term trading mania on individual stocks and increase market efficiency. Under such a microstructure, stocks may hit their up-limits and down-limits from time to time. However, the behaviors of price limit hits are not well studied partially due to the fact that main stock markets such as the US markets and most European markets do not set price limits. Here, we perform detailed analyses of the high-frequency data of all A-share common stocks traded on the Shanghai Stock Exchange and the Shenzhen Stock Exchange from 2000 to 2011 to investigate the statistical properties of price limit hits and the dynamical evolution of several important financial variables before stock price hits its limits. We compare the properties of up-limit hits and down-limit hits. We also divide the whole period into three bullish periods and three bearish periods to unveil possible differences during bullish and bearish market states. To uncover the impacts of stock capitalization on price limit hits, we partition all stocks into six portfolios according to their capitalizations on different trading days. We find that the price limit trading rule has a cooling-off effect (object to the magnet effect), indicating that the rule takes effect in the Chinese stock markets. We find that price continuation is much more likely to occur than price reversal on the next trading day after a limit-hitting day, especially for down-limit hits, which has potential practical values for market practitioners.

  12. Statistical Properties and Pre-Hit Dynamics of Price Limit Hits in the Chinese Stock Markets

    Science.gov (United States)

    Wan, Yu-Lei; Xie, Wen-Jie; Gu, Gao-Feng; Jiang, Zhi-Qiang; Chen, Wei; Xiong, Xiong; Zhang, Wei; Zhou, Wei-Xing

    2015-01-01

    Price limit trading rules are adopted in some stock markets (especially emerging markets) trying to cool off traders’ short-term trading mania on individual stocks and increase market efficiency. Under such a microstructure, stocks may hit their up-limits and down-limits from time to time. However, the behaviors of price limit hits are not well studied partially due to the fact that main stock markets such as the US markets and most European markets do not set price limits. Here, we perform detailed analyses of the high-frequency data of all A-share common stocks traded on the Shanghai Stock Exchange and the Shenzhen Stock Exchange from 2000 to 2011 to investigate the statistical properties of price limit hits and the dynamical evolution of several important financial variables before stock price hits its limits. We compare the properties of up-limit hits and down-limit hits. We also divide the whole period into three bullish periods and three bearish periods to unveil possible differences during bullish and bearish market states. To uncover the impacts of stock capitalization on price limit hits, we partition all stocks into six portfolios according to their capitalizations on different trading days. We find that the price limit trading rule has a cooling-off effect (object to the magnet effect), indicating that the rule takes effect in the Chinese stock markets. We find that price continuation is much more likely to occur than price reversal on the next trading day after a limit-hitting day, especially for down-limit hits, which has potential practical values for market practitioners. PMID:25874716

  13. Analysis of stock market returns of American and European stock market from the view of an American and a European investor

    Directory of Open Access Journals (Sweden)

    Oldřich Šoba

    2005-01-01

    Full Text Available The paper is focused on the analysis of stock market returns of American and European stock market for different investment horizon from the view of an American and European investor. The paper also partly resumes, in the part of analysis of USD/EUR exchange rate influence on market returns of mentioned stock market, research paper REJNUŠ, O., ŠOBA, O.: Changes in the USD/EUR exchange rate and their impact on the return of stock indexes from the viewpoint of a European and of an American investor. ACTA UNIVERSITATIS AGRICULTURAE ET SILVICULTURAE MENDELIANAE BRU- NENSIS, Vol. LII, No. 6, 2004, pg. 145–159, ISSN 1211-8516.The development of both American and European stock market is put on the development of two, structure-similar Standard & Poor’s exchange indexes, particularly S&P 500 and S&P Europe 350. According to the USD/EUR exchange rate, there were used the values published by FED, with the oldest data there were accepted the count ECU to EUR. The data were taken both from the weekly closing values of mentioned stock indexes and weekly closing values of USD/EUR exchange rate.The analysis was done with using the methods of quantification of „running market returns“ (recount to the average annual values of indexes from the view of both investors within the set investment horizon. The elemental statistical level characteristic – simple average, median and statistical characteristic of variability – standard deviation and variation coefficient were quantified from this time series of annual running market returns. The analysis, which was purposely oriented to six basic different long investment horizon (1 year, 2 years, 3 years, 5 years, 7 years, 10 years, has approved that in focused term of 1980–2004 the market returns of picked stock market from the view of both investors (American and European was generally higher in longer investment horizon than in the shorter investment horizon. The values of variation coefficient in

  14. Revisiting Stock Market Integration Pre-Post Subprime Mortgage Crisis: Insight From BRIC Countries

    Directory of Open Access Journals (Sweden)

    Chin-Hong Puah

    2015-07-01

    Full Text Available This study revisits the long-run relationships and short-run dynamic causal linkages among BRIC stock market, with the particular attention to the 2008 subprime mortgage crisis. Extending related empirical studies, comparative analyses of pre-crisis, and post-crisis periods were conducted to comprehensively evaluate how stock market integration was affected by financial crises. In general, after employing cointegration test and VAR test, the results reveal the increase of stock market integration in BRICs after the subprime crisis. The evidence also found that China stock market is the most influential among the BRICs, in which China stock market has the ability to Granger cause the other three BRICs member countries. An important implication of our findings is that the degree of integration among countries tends to change over time, especially around periods marked by financial crises.

  15. Economic Policy Uncertainty and Long-Run Stock Market Volatility and Correlation

    DEFF Research Database (Denmark)

    Asgharian, Hossein; Christiansen, Charlotte; Hou, Ai Jun

    We use Baker, Bloom, and Davis’s (2016) economic policy uncertainty indices in combination with the mixed data sampling (MIDAS) approach to investigate long-run stock market volatility and correlation, primarily for the US and UK. Long-run US–UK stock market correlation depends positively on US...... economic policy uncertainty shocks. The dependence is asymmetric, with only positive shocks - increasing uncertainty - being of importance. The US long-run stock market volatility depends significantly on US economic policy uncertainty shocks but not on UK shocks, while the UK long-run stock market...... volatility depends significantly on both. Allowing for US economic policy uncertainty shocks improves the out-of-sample forecasting of US–UK stock market correlation and enhances portfolio performance. Similar results apply to the long-run correlation between the US and Canada, China, and Germany....

  16. EU Emission Allowances and the stock market Evidence from the electricity industry

    International Nuclear Information System (INIS)

    Oberndorfer, Ulrich

    2009-01-01

    This paper constitutes - to our best knowledge - the first econometric analysis on stock market effects of the EU Emission Trading Scheme (EU ETS). Our results suggest that EU Emission Allowance (EUA) price developments matter to the stock performance of electricity firms: EUA price changes and stock returns of the most important European electricity corporations are shown to be positively related. This effect does not work asymmetrically, so that stock markets do not seem to react differently to EUA appreciations in comparison to depreciations. The carbon market effect is shown to be both time- and country-specific: It is particularly strong for the period of EUA market shock in early 2006, and differs with respect to the countries where the electricity corporations analysed are headquartered. Stock market reactions to EUA volatility could not be shown. (author)

  17. Integration of Stock Markets between Indonesia and Its Major Trading Partners

    Directory of Open Access Journals (Sweden)

    Bakri Abdul Karim

    2009-05-01

    Full Text Available Using Autoregressive Distributed Lag (ARDL and Vector Autoregressive (VAR frameworks, this study examines the integration between the emerging stock market of Indonesia and its major trading partners (i.e., Japan, the U.S., Singapore, and China. During the period of July 1998 to December 2007, the Indonesian stock market is found to be integrated with its major trading partners. Thus, this implies that there is a limited room available for investors to gain risk-reduction benefits through diversifying their portfolio in those markets. Meanwhile, in the short run, the Indonesian market responds more to shocks in the U.S. and Singapore than in Japan and China. In designing policies pertaining to its stock market, the Indonesian government should take into account any development in the stock markets of its major trading partners, particularly the U.S. and Singaporean markets.

  18. The Effects of Asset Management and Profitability on Stock Returns: A Comparative Study between Conventional and Islamic Stock Markets in Indonesia

    Directory of Open Access Journals (Sweden)

    Shelly Midesia

    2016-09-01

    Full Text Available This study aims at empirically examining whether there are differences in stock returns between conventional and Islamic stock returns In Indonesia for the period 2010-2013. This study also attempts to explore the effect of asset management and profitability both stock returns in Indonesia. Annual pooled data gathered from the annual financial reports of 100 conventional and Islamic stock returns, which were published by the Indonesian Stock Exchange from 2010 to 2013 were used and analyzed by using the independent t-test and panel multivariate regression analysis. The result shows that there was no difference in stock returns between the conventional and Islamic stock markets. Additionally, the study documents that only profitability, which is measured by market ratio, was found to have an influence on the conventional stock markets. Meanwhile, as for Islamic stock market, only management of assets was found to have a significant effect on the stock return. These findings imply that investors who are investing in both Islamic and conventional markets would gain similar returns. However, in predicting and stabilizing the stock markets, both investors and policy makers should focus on the profitability for the conventional and management of assets for the Islamic stock market.

  19. Stock Market Reaction to CEO Appointment – Preliminary Results

    Directory of Open Access Journals (Sweden)

    Katarzyna Byrka-Kita

    2017-06-01

    Full Text Available Purpose: The aim of this paper is to examine shareholders’ reaction to the decision of the supervisory board to appoint a CEO in companies listed on the Warsaw Stock Exchange. Methodology: An event study and the mean-adjusted model were applied. The abnormal returns were measured as the CAAR in the entire (-60, + 60 window and selected sub-windows. Findings: The obtained values of abnormal returns indicate the shareholder’s negative reaction. Throughout the observation window, they oscillate slightly below zero, and in the window (0, +20 they are negative at -1.566%. Irrespective of the observation window, negative abnormal returns were obtained for over half of the observation (52–57%. Therefore, preliminary results indicate the predominance of the information effect over the real one. The decrease in market value as a result of the event may result from an increase in investors’ uncertainty as to the effects of changes in strategy and skills of the new CEO. Originality: The research is a unique one. To date, no one has carried out research into shareholders’ reaction to a CEO appointment in either the Polish or Central and Eastern European capital markets. They primarily bring the value of cognition of shareholders’ behaviour in the analysed event, which is reflected in share prices. They extend the literature on the signalization instruments, i.e. the activities that boards can undertake due to the new information transmitted to the capital market participants and stakeholders. The market reaction to a CEO appointment will without a doubt interest investors; the institutions responsible for supervision (which in the case of Poland is the Financial Oversight Commission and the legislator in charge of regulations that prevent insider trading while promoting corporate disclosure transparency.

  20. Returns Effect, Shocks and Volatility Transmission between Foreign Exchange-Stock Markets in Nigeria

    Directory of Open Access Journals (Sweden)

    Agya Atabani Adi

    2017-03-01

    Full Text Available The paper examined effect of passed return on current return, shocks spillover and volatility transmission between FX-Stock markets. Using result obtained from VAR-GARCH models, we also calculate the optimal weight and risk minimizing hedging ratio for FX-Stock markets and employed the newly developed bivariate GARCH framework Findings reveal evidence of short term predictability in both markets through time. One period lagged returns significantly impact current return in both markets, and impact was greater in FX market both VAR-GARCH and VAR-AGARCH models. There were evidence of bi-directional volatility transmission in both markets and uni-directional shocks spillover from stock to FX market in both models. VAR-AGARCH model showed evidence of leverage effect; bad news has more impact on volatility than positive news of the same magnitude. We showed that optimal polio of FX-Stock market should holds more foreign exchange to stocks in their asset polio. Our result showed evidence of effective hedging in FX-Stock markets in Nigerian. Hence, the inclusion of stocks in diversified polio of foreign exchange could improve it risks adjusted performance of hedging ratio.

  1. Statistical properties of trading activity in Chinese stock market

    Science.gov (United States)

    Sun, Xiaoqian; Cheng, Xueqi; Shen, Huawei; Wang, Zhaoyang

    2010-08-01

    We investigate the statistical properties of traders' trading behavior using cumulative distribution function(CDF). We analyze exchange data of 52 stocks for one-year period which contains non-manipulated stocks and manipulated stocks published by China Securities Regulatory Commission(CSRC). By analyzing the total number of transactions and the trading volume of each trader over a year, we find the cumulative distributions have power-law tails and the distributions between non-manipulated stocks and manipulated stocks are different. These findings can help us to detect the manipulated stocks.

  2. The impact of the introduction of index options on volatility and liquidity on the underlying stocks : Empirical evidence from the Asian stock markets

    OpenAIRE

    Hasan, Md Kamrul; Chowdhury, Shabyashachi

    2011-01-01

    The impact of the introduction of derivatives on the underlying stock is a debatable topic among the researchers. The issue is quite controversial as contradictory results have been obtained by researchers in various stock markets. The purpose of this study is to examine the volatility and the liquidity effect on the underlying stock after the introduction of index options. We have investigated volatility and liquidity effect by collecting sample data from the stock markets of India, Korea, T...

  3. Dominating clasp of the financial sector revealed by partial correlation analysis of the stock market.

    Science.gov (United States)

    Kenett, Dror Y; Tumminello, Michele; Madi, Asaf; Gur-Gershgoren, Gitit; Mantegna, Rosario N; Ben-Jacob, Eshel

    2010-12-20

    What are the dominant stocks which drive the correlations present among stocks traded in a stock market? Can a correlation analysis provide an answer to this question? In the past, correlation based networks have been proposed as a tool to uncover the underlying backbone of the market. Correlation based networks represent the stocks and their relationships, which are then investigated using different network theory methodologies. Here we introduce a new concept to tackle the above question--the partial correlation network. Partial correlation is a measure of how the correlation between two variables, e.g., stock returns, is affected by a third variable. By using it we define a proxy of stock influence, which is then used to construct partial correlation networks. The empirical part of this study is performed on a specific financial system, namely the set of 300 highly capitalized stocks traded at the New York Stock Exchange, in the time period 2001-2003. By constructing the partial correlation network, unlike the case of standard correlation based networks, we find that stocks belonging to the financial sector and, in particular, to the investment services sub-sector, are the most influential stocks affecting the correlation profile of the system. Using a moving window analysis, we find that the strong influence of the financial stocks is conserved across time for the investigated trading period. Our findings shed a new light on the underlying mechanisms and driving forces controlling the correlation profile observed in a financial market.

  4. A discussion of stock market speculation by Pierre-Joseph Proudhon

    OpenAIRE

    Jean-Claude Juhel; Dominique Dufour

    2010-01-01

    International audience; The object of this contribution is to present the ideas behind the thinking of the French economist Pierre-Joseph Proudhon (1809-1865) in relation to the causes and effects of Stock market speculation. It is based upon the works of this author but particularly on his “Manuel du spéculateur à la Bourse” (Stock Market Speculator Manual) edited in 1857 in Paris. Compared to the markets of today, however, the stock market described by Proudhon appears embryonic. Neverthele...

  5. Causality tests between stock market development and economic growth in West African Monetary Union

    Directory of Open Access Journals (Sweden)

    Maman Tachiwou ABOUDOU

    2009-12-01

    Full Text Available This paper examines the causal relationship between stock market development and economic growth for the West African Monetary Union economy over the last decade or so. By applying the techniques of unit–root tests and the long–run Granger noncausality test proposed by Toda and Yamamoto (1995, the causal relationships between the real GDP growth rate and two stock market development proxies are tested. The results are in line with the supply leading hypothesis in the sense that there is strong causal flow from the stock market development to economic growth. A unidirectional causal relationship is also observed between real market capitalization ratio and economic growth.

  6. Contagion in International Stock Markets during the Sub Prime Mortgage Crisis

    Directory of Open Access Journals (Sweden)

    Hsien-Yi Lee

    2012-01-01

    Full Text Available The sub prime mortgages crises took place in July, 2007 in US which causes the large scare in the global financial markets, and the international stock and foreign market suffer heavy shock. Using twenty international stock indexes, this study examines whether any contagion effect occurred across international markets after the sub-prime financial mortgage crisis in US. Using the heteroscedasticity biases based on correlation coefficients to examine the existence of the contagion effect, this study shows that stock markets of some countries (namely Hong Kong, Taiwan, Australia and New Zealand did suffer from the contagion effect.

  7. Long-run equilibrium relationships in the international stock market factor systems

    Directory of Open Access Journals (Sweden)

    Hyung-Suk Choi

    2014-06-01

    Full Text Available The main objective of this paper is to investigate the international linkages among local, country-specific stock market factors in order to better understand the dependence structure of increasingly integrated world financial markets. The seeming discordance between Fama and French (1998 and Griffin (2002 regarding the multi-factor model in the international stock markets motivates us to study the international relationship among local factors. With the individual stock data from the six major developed countries in the international stock market, we compose daily returns to the Fama-French three factors (i.e. market, size, and value and the momentum factor over the period from January 2000 to June 2010. We investigate the international linkages among local stock market factors, focusing on their equilibrium relationship in the integrated world financial market. The cointegration analysis indicates that local factor indices, constructed from the cumulative factor returns, are cointegrated for each of the four factor classes. Thus, we conclude that local factors are globally bound to each other through a long-run equilibrium relationship and that although stock market factors may be local, rather than global, individual stock returns are driven by common global stochastic trends.

  8. Proving the Relation between Stock and Interbank Markets: The Bahrain Stock Exchange

    OpenAIRE

    Matveev, Aleksandr

    2014-01-01

    The present paper deals with further analysis of the relationship between the interbank loan rateon the one hand and the volume of investment and the amount of stocks tradable on the stock exchange on the other hand, as corroborated by calculations performed on Bahrain Stock Exchange data.

  9. An Empirical Research on Non-Economic Factors That Effects Individuals Stock Market Participation Preferences

    Directory of Open Access Journals (Sweden)

    Ali BAYRAKDAROĞLU

    2015-12-01

    Full Text Available The purpose of this study, understanding the direct participation of depositors in Turkey to stock markets according to some social and behavioral factors. Because of unable to explain stock market and risk free assets market participation differences even with risk premium and low level of stock market participation led us to consider some social factors like financial literacy, risk perception, trust, short and long term market expectations. This study was conducted on 329 students Business Administration department at Faculty of Economics and Administrative Sciences of Muğla Sıtkı Koçman University by using survey technique. The data were analyzed by logistic regression showed that social factors like risk perception, financial literacy, trust to financial institutions, short and long term expectations affects the stock market participation preferences.

  10. Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model.

    Directory of Open Access Journals (Sweden)

    Mingyue Qiu

    Full Text Available In the business sector, it has always been a difficult task to predict the exact daily price of the stock market index; hence, there is a great deal of research being conducted regarding the prediction of the direction of stock price index movement. Many factors such as political events, general economic conditions, and traders' expectations may have an influence on the stock market index. There are numerous research studies that use similar indicators to forecast the direction of the stock market index. In this study, we compare two basic types of input variables to predict the direction of the daily stock market index. The main contribution of this study is the ability to predict the direction of the next day's price of the Japanese stock market index by using an optimized artificial neural network (ANN model. To improve the prediction accuracy of the trend of the stock market index in the future, we optimize the ANN model using genetic algorithms (GA. We demonstrate and verify the predictability of stock price direction by using the hybrid GA-ANN model and then compare the performance with prior studies. Empirical results show that the Type 2 input variables can generate a higher forecast accuracy and that it is possible to enhance the performance of the optimized ANN model by selecting input variables appropriately.

  11. Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model.

    Science.gov (United States)

    Qiu, Mingyue; Song, Yu

    2016-01-01

    In the business sector, it has always been a difficult task to predict the exact daily price of the stock market index; hence, there is a great deal of research being conducted regarding the prediction of the direction of stock price index movement. Many factors such as political events, general economic conditions, and traders' expectations may have an influence on the stock market index. There are numerous research studies that use similar indicators to forecast the direction of the stock market index. In this study, we compare two basic types of input variables to predict the direction of the daily stock market index. The main contribution of this study is the ability to predict the direction of the next day's price of the Japanese stock market index by using an optimized artificial neural network (ANN) model. To improve the prediction accuracy of the trend of the stock market index in the future, we optimize the ANN model using genetic algorithms (GA). We demonstrate and verify the predictability of stock price direction by using the hybrid GA-ANN model and then compare the performance with prior studies. Empirical results show that the Type 2 input variables can generate a higher forecast accuracy and that it is possible to enhance the performance of the optimized ANN model by selecting input variables appropriately.

  12. Universal and nonuniversal allometric scaling behaviors in the visibility graphs of world stock market indices

    International Nuclear Information System (INIS)

    Qian Mengcen; Jiang Zhiqiang; Zhou Weixing

    2010-01-01

    The investigations of financial markets from a complex network perspective have unveiled many phenomenological properties, in which the majority of these studies map the financial markets into one complex network. In this work, we investigate 30 world stock market indices through their visibility graphs by adopting the visibility algorithm to convert each single stock index into one visibility graph. A universal allometric scaling law is uncovered in the minimal spanning trees, whose scaling exponent is independent of the stock market and the length of the stock index. In contrast, the maximal spanning trees and the random spanning trees do not exhibit universal allometric scaling behaviors. There are marked discrepancies in the allometric scaling behaviors between the stock indices and the Brownian motions. Using surrogate time series, we find that these discrepancies are caused by the fat-tailedness of the return distribution and the nonlinear long-term correlation.

  13. Viscoelasticity and pattern formations in stock market indices

    Science.gov (United States)

    Gündüz, Güngör; Gündüz, Aydın

    2017-06-01

    of stock index value although they describe different properties. Entropy fluctuates at fast increase and fast fall of index value, and fluctuation becomes very high at minimum values of the index. The curvature of a circle passing from the two ends of the vector and the point of intersection of its horizontal and vertical components designates the reactivity involved in the market and the radius of circle behaves somehow similar to entropy and Wiener noise. The change of entropy and Wiener noise with radius exhibits patterns with four branches.

  14. Response Asymmetry in Spillover Volatility: an Empirical Study in the Indonesia and Singapore Stock Market

    OpenAIRE

    Siti Saadah

    2013-01-01

    Following the blueprint of the ASEAN integration 2015, the integration of the financial markets in this region will increase. This study investigates the existence of a volatility spillover from the Singaporean stock market into Indonesia, including its transmission pattern. Singapore, as an advanced country in the ASEAN region, has played an important role as the information leader in the market of this region, so that it is very possible that the shocks in the Singapore’s stock mark...

  15. Asset Pricing Behaviour with Dual-Beta in Case of Pakistani Stock Market

    OpenAIRE

    Attiya Y. Javid; Eatzaz Ahmad

    2011-01-01

    This study investigates the dynamics of beta by the asymmetric response of beta to bullish and bearish market environment on 50 stocks traded in Karachi Stock Exchange during 1993-2007. The results show that the betas increase (decrease) when the market is bullish (bearish). The results however suggest that investors receive a positive premium for accepting down-side risk, while a negative premium is associated with up-market beta. The results suggest that the conditional Fama and French thre...

  16. Moral Behavior in Stock Markets: Islamic finance and socially responsible investment

    OpenAIRE

    Pitluck, Aaron Z.

    2008-01-01

    This paper addresses the puzzle of why the inclusion of non-financial social justice or religious criteria by professional fund managers has been so popular in Malaysia and yet has had to date relatively little influence in the United States stock market. Drawing from over 125 ethnographic interviews with financial workers in Malaysia, this paper argues that moral investment behavior in stock markets is shaped primarily by ‘market structure’ rather than by ‘mandates.’ In both countries man...

  17. Stock Markets Volatility Spillovers during Financial Crises : A DCC-MGARCH with Skew-t Approach

    OpenAIRE

    Bala, Dahiru A.; Takimoto, Taro

    2016-01-01

    We investigate stock markets volatility spillovers in selected emerging and major developed markets using multivariate GARCH (MGARCH) models [namely; DVECH, CCC-MGARCH, CCC-VARMA-(A)MGARCH, VAR-EGARCH, BEKK-(A)MGARCH, DCC-MGARCH (with Gaussian and t distributions) and DCC-with-skew-t density]. The paper analyses the impacts of recent global financial crisis (2007{2009) on stock market volatility and examines their dynamic interactions using several MGARCH model variants. Structural break dete...

  18. 76 FR 27699 - Self-Regulatory Organizations; The NASDAQ Stock Market LLC; Notice of Filing and Immediate...

    Science.gov (United States)

    2011-05-12

    ...-Regulatory Organizations; The NASDAQ Stock Market LLC; Notice of Filing and Immediate Effectiveness of... given that on April 28, 2011 The NASDAQ Stock Market LLC (the ``Exchange'' or ``NASDAQ'') filed with the... inside market and the midpoint for stocks at this price level is likely to be extremely small, and...

  19. 77 FR 10794 - Self-Regulatory Organizations; The NASDAQ Stock Market LLC; Notice of Filing and Immediate...

    Science.gov (United States)

    2012-02-23

    ...-Regulatory Organizations; The NASDAQ Stock Market LLC; Notice of Filing and Immediate Effectiveness of... February 13, 2012, The NASDAQ Stock Market LLC (``NASDAQ'' or ``Exchange'') filed with the Securities and... Change The NASDAQ Stock Market LLC proposes to modify Chapter XV, Section 2, governing pricing for NASDAQ...

  20. 76 FR 71088 - Self-Regulatory Organizations; The NASDAQ Stock Market LLC; Notice of Filing and Immediate...

    Science.gov (United States)

    2011-11-16

    ...-Regulatory Organizations; The NASDAQ Stock Market LLC; Notice of Filing and Immediate Effectiveness of... November 1, 2011, The NASDAQ Stock Market LLC (``NASDAQ'' or ``Exchange'') filed with the Securities and... Change The NASDAQ Stock Market LLC proposes to create a new Rule 7056 entitled ``NASDAQ Options Fee...

  1. 76 FR 44076 - Self-Regulatory Organizations; The NASDAQ Stock Market LLC; Notice of Filing and Immediate...

    Science.gov (United States)

    2011-07-22

    ...-Regulatory Organizations; The NASDAQ Stock Market LLC; Notice of Filing and Immediate Effectiveness of Proposed Rule Change To Amend NASDAQ Stock Market Equities Trading Rules 4757 and 4758 and NASDAQ Options... NASDAQ Stock Market LLC (the ``Exchange'' or ``NASDAQ'') filed with the Securities and Exchange...

  2. 75 FR 77034 - Self-Regulatory Organizations; The NASDAQ Stock Market LLC; Notice of Filing and Immediate...

    Science.gov (United States)

    2010-12-10

    ...-Regulatory Organizations; The NASDAQ Stock Market LLC; Notice of Filing and Immediate Effectiveness of..., notice is hereby given that on December 3, 2010, The NASDAQ Stock Market LLC (``Nasdaq'' or ``Exchange...) Pricing Obligations. For NMS stocks (as defined in Rule 600 under Regulation NMS) a Market Maker shall...

  3. 76 FR 34786 - Self-Regulatory Organizations; The NASDAQ Stock Market LLC; Notice of Filing and Immediate...

    Science.gov (United States)

    2011-06-14

    ...-Regulatory Organizations; The NASDAQ Stock Market LLC; Notice of Filing and Immediate Effectiveness of... is hereby given that, on May 25, 2011, The NASDAQ Stock Market LLC (the ``Exchange'' or ``NASDAQ... markets in a large number of stocks and that contribute to price discovery by posting attributable quotes...

  4. Response Asymmetry in Spillover Volatility: An Empirical Study in the Indonesia and Singapore Stock Market

    Directory of Open Access Journals (Sweden)

    Siti Saadah

    2013-07-01

    Full Text Available Normal 0 false false false EN-US X-NONE X-NONE Following the blueprint of the ASEAN integration 2015, the integration of the financial markets in this region will increase. This study investigates the existence of a volatility spillover from the Singaporean stock market into Indonesia, including its transmission pattern. Singapore, as an advanced country in the ASEAN region, has played an important role as the information leader in the market of this region, so that it is very possible that the shocks in the Singapore’s stock market will be transmitted to another stock market in this region. Using TGARCH (1,1 model specification regarding the data of the daily return of the Indonesia market index (IHSG for the period of January 2008 – August 2012, it is observed that the shock that took place in the Singapore stock market is immediately transmitted to the Indonesia stock market with two important asymmetric patterns. The transmission of the shock from the Singapore stock exchange becomes stronger when this market (1 experiences a negative return, and (2 is in the bearish phase.  Normal 0 false false false EN-US X-NONE X-NONE Does Implementation of Big Data Analytics Improve Firms’ Market Value? Investors’ Reaction in Stock Market

    Directory of Open Access Journals (Sweden)

    Hansol Lee

    2017-06-01

    Full Text Available Recently, due to the development of social media, multimedia, and the Internet of Things (IoT, various types of data have increased. As the existing data analytics tools cannot cover this huge volume of data, big data analytics becomes one of the emerging technologies for business today. Considering that big data analytics is an up-to-date term, in the present study, we investigated the impact of implementing big data analytics in the short-term perspective. We used an event study methodology to investigate the changes in stock price caused by announcements on big data analytics solution investment. A total of 54 investment announcements of firms publicly traded in NASDAQ and NYSE from 2010 to 2015 were collected. Our results empirically demonstrate that announcement of firms’ investment on big data solution leads to positive stock market reactions. In addition, we also found that investments on small vendors’ solution with industry-oriented functions tend to result in higher abnormal returns than those on big vendors’ solution with general functions. Finally, our results also suggest that stock market investors highly evaluate big data analytics investments of big firms as compared to those of small firms.

  5. Can Big Data Help Predict Financial Market Dynamics?: Evidence from the Korean Stock Market

    Directory of Open Access Journals (Sweden)

    Dong-Jin Pyo

    2017-06-01

    Full Text Available This study quantifies the dynamic interrelationship between the KOSPI index return and search query data derived from the Naver DataLab. The empirical estimation using a bivariate GARCH model reveals that negative contemporaneous correlations between the stock return and the search frequency prevail during the sample period. Meanwhile, the search frequency has a negative association with the one-week- ahead stock return but not vice versa. In addition to identifying dynamic correlations, the paper also aims to serve as a test bed in which the existence of profitable trading strategies based on big data is explored. Specifically, the strategy interpreting the heightened investor attention as a negative signal for future returns appears to have been superior to the benchmark strategy in terms of the expected utility over wealth. This paper also demonstrates that the big data-based option trading strategy might be able to beat the market under certain conditions. These results highlight the possibility of big data as a potential source-which has been left largely untapped-for establishing profitable trading strategies as well as developing insights on stock market dynamics.

  6. FAVAR Analysis of Foreign Investment with Capital Market Predictors: Evidence on Nigerian and Selected African Stock Exchanges

    Directory of Open Access Journals (Sweden)

    David Umoru

    2018-03-01

    Full Text Available Econometrically, we analyzed role of selected African stock exchanges in welcoming FDI inflows by estimating time-varying factor augmented vector auto-regression (FAVAR model for 2006:Q1 to 2017:Q4. Our results support FDI being massively influenced by movements in two stock market predictors namely, stock market's size, that is, total market value of stock market's listed shares calculated by multiplying a stock market’s shares listed by current market price of one share and stock market liquidity which is total value of traded shares relative to the size of the economy. By empirical inference, African stock exchanges exhibit inordinate turnover ratio and so these markets are exceedingly liquid. Particularly, transactions at stock exchange are significant indicators for foreign investors and total market value of listed shares in stock markets is linked positively with FDI inflow into Africa. The empirical finding is that viable African stock exchanges are attractive indicator of market concentration and high investment profile in Africa. The study so remarked the requisite to advance the stock exchange in order to boost funds accumulation for investment drive. Also, African governments should project and implement stock market-friendly procedures acceptable to maximize welfares of spillover effects of FDI.

  7. Static and dynamic factors in an information-based multi-asset artificial stock market

    Science.gov (United States)

    Ponta, Linda; Pastore, Stefano; Cincotti, Silvano

    2018-02-01

    An information-based multi-asset artificial stock market characterized by different types of stocks and populated by heterogeneous agents is presented. In the market, agents trade risky assets in exchange for cash. Beside the amount of cash and of stocks owned, each agent is characterized by sentiments and agents share their sentiments by means of interactions that are determined by sparsely connected networks. A central market maker (clearing house mechanism) determines the price processes for each stock at the intersection of the demand and the supply curves. Single stock price processes exhibit volatility clustering and fat-tailed distribution of returns whereas multivariate price process exhibits both static and dynamic stylized facts, i.e., the presence of static factors and common trends. Static factors are studied making reference to the cross-correlation of returns of different stocks. The common trends are investigated considering the variance-covariance matrix of prices. Results point out that the probability distribution of eigenvalues of the cross-correlation matrix of returns shows the presence of sectors, similar to those observed on real empirical data. As regarding the dynamic factors, the variance-covariance matrix of prices point out a limited number of assets prices series that are independent integrated processes, in close agreement with the empirical evidence of asset price time series of real stock markets. These results remarks the crucial dependence of statistical properties of multi-assets stock market on the agents' interaction structure.

  8. Evidence of increment of efficiency of the Mexican Stock Market through the analysis of its variations

    Science.gov (United States)

    Coronel-Brizio, H. F.; Hernández-Montoya, A. R.; Huerta-Quintanilla, R.; Rodríguez-Achach, M.

    2007-07-01

    It is well known that there exist statistical and structural differences between the stock markets of developed and emerging countries. In this work, and in order to find out if the efficiency of the Mexican Stock Market has been changing over time, we have performed and compared several analyses of the variations of the Mexican Stock Market index (IPC) and Dow Jones industrial average index (DJIA) for different periods of their historical daily data. We have analyzed the returns autocorrelation function (ACF) and used detrended fluctuation analysis (DFA) to study returns variations. We also analyze the volatility, mean value and standard deviation of both markets and compare their evolution. We conclude from the overall result of these studies, that they show compelling evidence of the increment of efficiency of the Mexican Stock Market over time. The data samples analyzed here, correspond to daily values of the IPC and DJIA for the period 10/30/1978-02/28/2006.

  9. Effects of Fiscal Policy and Monetary Policy on the Stock Market in Poland

    OpenAIRE

    Yu Hsing

    2013-01-01

    The focus of this paper is to examine potential impacts of fiscal and monetary policies on stock market performance in Poland. Applying the GARCH model and based on a sample during 1999.Q2 to 2012.Q4, this paper finds that Poland’s stock market index is not affected by the ratio of government deficits or debt to GDP and is negatively influenced by the money market rate. The stock index and the ratio of M3 to GDP show a quadratic relationship with a critical value of 46.03%, suggesting that th...

  10. Hybrid machine learning technique for forecasting Dhaka stock market timing decisions.

    Science.gov (United States)

    Banik, Shipra; Khodadad Khan, A F M; Anwer, Mohammad

    2014-01-01

    Forecasting stock market has been a difficult job for applied researchers owing to nature of facts which is very noisy and time varying. However, this hypothesis has been featured by several empirical experiential studies and a number of researchers have efficiently applied machine learning techniques to forecast stock market. This paper studied stock prediction for the use of investors. It is always true that investors typically obtain loss because of uncertain investment purposes and unsighted assets. This paper proposes a rough set model, a neural network model, and a hybrid neural network and rough set model to find optimal buy and sell of a share on Dhaka stock exchange. Investigational findings demonstrate that our proposed hybrid model has higher precision than the single rough set model and the neural network model. We believe this paper findings will help stock investors to decide about optimal buy and/or sell time on Dhaka stock exchange.

  11. SPILLOVER EFFECTS OF THE SUB-PRIME MORTGAGE CRISIS TO THE ASIAN STOCK MARKETS

    Directory of Open Access Journals (Sweden)

    Esta Lestari

    2014-10-01

    Full Text Available AbstractThis paper aims to analyze the effects of the sub-prime mortgage crisis on several Asian stock markets. An Exponential Generalized Autoregressive Conditional Heteroscedasticity (EGARCH model is employed to provide an empirical evidence of the direct spillover. The indirect effect is measured through the spillover effects from the increased volatility in the U.S. stock markets to the Asian stock markets. The results showed that the market integration occurs within Asian stock markets. Meanwhile the asymmetric effects are evident for all the Asian countries stock markets, indicating that financial markets in Asia are suffered more from negative news (shocks lead to more volatilities compared to positive news. Keywords: Stock market, sub-prime mortgage crisis, volatility, spillover effectJEL classification numbers: C22, F36, G15AbstrakPaper ini bertujuan untuk menganalisis pengaruh krisis sub-prime mortgage pada beberapa pasar saham Asia. Model Exponential Generalized Autoregressive Conditional Heteroscedasticity (EGARCH digunakan untuk mendapatkan bukti empiris dari kenaikan volatilitas dalam pasar saham Amerika pada pasar-pasar saham Asia. Hasil analisis memperlihatkan bahwa integrasi pasar terjadi di dalam pasar saham Asia. Sementara itu, pengaruh asimetris terbukti terjadi di pasar-pasar saham Asia, mengindikasikan bahwa pasar-pasar keuangan di Asia menderita lebih parah sebagai akibat dari kejutan negatif dibandingkan dengan dampak dari kejutan positif.Kata kunci: Pasar saham, krisis sub-prime mortgage, volatilitas, pengaruh spillover JEL classification numbers: C22, F36, G15

  12. Gambling on the stock market: an unexplored issue.

    Science.gov (United States)

    Granero, Roser; Tárrega, Salomé; Fernández-Aranda, Fernando; Aymamí, Neus; Gómez-Peña, Mónica; Moragas, Laura; Custal, Núria; Orekhova, Lisa; Savvidou, Lamprini G; Menchón, José M; Jiménez-Murcia, Susana

    2012-08-01

    Stock market investment (SMI) is one of the most socially acceptable types of gambling, which, however, can turn into a gambling problem. Because it is barely examined, we compared a series of clinical, psychopathologic, and personality variables in SMI gambling patients (both as primary and secondary problem) with a group of traditional pathologic gamblers (PGs). A total sample of 1470 PGs (1376 patients without SMIs [PG-SMI], 76 patients with SMI as a secondary gambling problem [PG+SMI], and 18 patients with SMI as a primary gambling problem [SMI+PG]) participated in this study. All participants were diagnosed according to Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, criteria. The following instruments were used: the South Oaks Gambling Screen, the Symptom Check List-90 Items-Revised, the Temperament and Character Inventory-Revised, and other clinical and psychopathologic indices. The 3 patient groups' profiles were statistically similar in psychometrical measures. The risk of having SMI increased for patients with higher education, and the presence of SMI as a primary problem in PGs increased with university study level and higher scores on the personality trait of cooperativeness. The results of this study indicate comparability of SMI gamblers with PGs in their general clinical profile and in psychopathology and personality. Copyright © 2012 Elsevier Inc. All rights reserved.

  13. A study of correlations in the stock market

    Science.gov (United States)

    Sharma, Chandradew; Banerjee, Kinjal

    2015-08-01

    We study the various sectors of the Bombay Stock Exchange (BSE) for a period of 8 years from April 2006 to March 2014. Using the data of daily returns of a period of eight years we make a direct model free analysis of the pattern of the sectorial indices movement and the correlations among them. Our analysis shows significant auto correlation among the individual sectors and also strong cross-correlation among sectors. We also find that auto correlations in some of the sectors persist in time. This is a very significant result and has not been reported so far in Indian context. These findings will be very useful in model building for prediction of price movement of equities, derivatives and portfolio management. We show that the Random Walk Hypothesis is not applicable in modeling the Indian market and mean-variance-skewness-kurtosis based portfolio optimization might be required. We also find that almost all sectors are highly correlated during large fluctuation periods and have only moderate correlation during normal periods.

  14. Cross-Correlation Asymmetries and Causal Relationships between Stock and Market Risk

    Science.gov (United States)

    Borysov, Stanislav S.; Balatsky, Alexander V.

    2014-01-01

    We study historical correlations and lead-lag relationships between individual stock risk (volatility of daily stock returns) and market risk (volatility of daily returns of a market-representative portfolio) in the US stock market. We consider the cross-correlation functions averaged over all stocks, using 71 stock prices from the Standard & Poor's 500 index for 1994–2013. We focus on the behavior of the cross-correlations at the times of financial crises with significant jumps of market volatility. The observed historical dynamics showed that the dependence between the risks was almost linear during the US stock market downturn of 2002 and after the US housing bubble in 2007, remaining at that level until 2013. Moreover, the averaged cross-correlation function often had an asymmetric shape with respect to zero lag in the periods of high correlation. We develop the analysis by the application of the linear response formalism to study underlying causal relations. The calculated response functions suggest the presence of characteristic regimes near financial crashes, when the volatility of an individual stock follows the market volatility and vice versa. PMID:25162697

  15. Cross-correlation asymmetries and causal relationships between stock and market risk.

    Science.gov (United States)

    Borysov, Stanislav S; Balatsky, Alexander V

    2014-01-01

    We study historical correlations and lead-lag relationships between individual stock risk (volatility of daily stock returns) and market risk (volatility of daily returns of a market-representative portfolio) in the US stock market. We consider the cross-correlation functions averaged over all stocks, using 71 stock prices from the Standard & Poor's 500 index for 1994-2013. We focus on the behavior of the cross-correlations at the times of financial crises with significant jumps of market volatility. The observed historical dynamics showed that the dependence between the risks was almost linear during the US stock market downturn of 2002 and after the US housing bubble in 2007, remaining at that level until 2013. Moreover, the averaged cross-correlation function often had an asymmetric shape with respect to zero lag in the periods of high correlation. We develop the analysis by the application of the linear response formalism to study underlying causal relations. The calculated response functions suggest the presence of characteristic regimes near financial crashes, when the volatility of an individual stock follows the market volatility and vice versa.

  16. The Stock Market's Reaction to Unemployment News: Why Bad News is Usually Good for Stocks

    OpenAIRE

    John H. Boyd; Ravi Jagannathan; Jian Hu

    2001-01-01

    We find that on average an announcement of rising unemployment is 'good news' for stocks during economic expansions and 'bad news' during economic contractions. Thus stock prices usually increase on news of rising unemployment, since the economy is usually in an expansion phase. We provide an explanation for this phenomenon. Unemployment news bundles two primitive types of information relevant for valuing stocks: information about future interest rates and future corporate earnings and divide...

  17. Impact of Stock Market Structure on Intertrade Time and Price Dynamics

    Science.gov (United States)

    Ivanov, Plamen Ch.; Yuen, Ainslie; Perakakis, Pandelis

    2014-01-01

    We analyse times between consecutive transactions for a diverse group of stocks registered on the NYSE and NASDAQ markets, and we relate the dynamical properties of the intertrade times with those of the corresponding price fluctuations. We report that market structure strongly impacts the scale-invariant temporal organisation in the transaction timing of stocks, which we have observed to have long-range power-law correlations. Specifically, we find that, compared to NYSE stocks, stocks registered on the NASDAQ exhibit significantly stronger correlations in their transaction timing on scales within a trading day. Further, we find that companies that transfer from the NASDAQ to the NYSE show a reduction in the correlation strength of transaction timing on scales within a trading day, indicating influences of market structure. We also report a persistent decrease in correlation strength of intertrade times with increasing average intertrade time and with corresponding decrease in companies' market capitalization–a trend which is less pronounced for NASDAQ stocks. Surprisingly, we observe that stronger power-law correlations in intertrade times are coupled with stronger power-law correlations in absolute price returns and higher price volatility, suggesting a strong link between the dynamical properties of intertrade times and the corresponding price fluctuations over a broad range of time scales. Comparing the NYSE and NASDAQ markets, we demonstrate that the stronger correlations we find in intertrade times for NASDAQ stocks are associated with stronger correlations in absolute price returns and with higher volatility, suggesting that market structure may affect price behavior through information contained in transaction timing. These findings do not support the hypothesis of universal scaling behavior in stock dynamics that is independent of company characteristics and stock market structure. Further, our results have implications for utilising transaction timing

  18. Impact of stock market structure on intertrade time and price dynamics.

    Science.gov (United States)

    Ivanov, Plamen Ch; Yuen, Ainslie; Perakakis, Pandelis

    2014-01-01

    We analyse times between consecutive transactions for a diverse group of stocks registered on the NYSE and NASDAQ markets, and we relate the dynamical properties of the intertrade times with those of the corresponding price fluctuations. We report that market structure strongly impacts the scale-invariant temporal organisation in the transaction timing of stocks, which we have observed to have long-range power-law correlations. Specifically, we find that, compared to NYSE stocks, stocks registered on the NASDAQ exhibit significantly stronger correlations in their transaction timing on scales within a trading day. Further, we find that companies that transfer from the NASDAQ to the NYSE show a reduction in the correlation strength of transaction timing on scales within a trading day, indicating influences of market structure. We also report a persistent decrease in correlation strength of intertrade times with increasing average intertrade time and with corresponding decrease in companies' market capitalization-a trend which is less pronounced for NASDAQ stocks. Surprisingly, we observe that stronger power-law correlations in intertrade times are coupled with stronger power-law correlations in absolute price returns and higher price volatility, suggesting a strong link between the dynamical properties of intertrade times and the corresponding price fluctuations over a broad range of time scales. Comparing the NYSE and NASDAQ markets, we demonstrate that the stronger correlations we find in intertrade times for NASDAQ stocks are associated with stronger correlations in absolute price returns and with higher volatility, suggesting that market structure may affect price behavior through information contained in transaction timing. These findings do not support the hypothesis of universal scaling behavior in stock dynamics that is independent of company characteristics and stock market structure. Further, our results have implications for utilising transaction timing

  19. By Force of Habit: A Consumption-Based Explanation of Aggregate Stock Market Behavior

    OpenAIRE

    Campbell, John; Cochrane, John H.

    1999-01-01

    We present a consumption-based model that explains the procyclical variation of stock prices, the long-horizon predictability of excess stock returns, and the countercyclical variation of stock market volatility. Our model has an i.i.d. consumption growth driving process, and adds a slow-moving external habit to the standard power utility function. The latter feature produces cyclical variation in risk aversion, and hence in the prices of risky assets. Our model also predicts many of the diff...