Correlations of stock price fluctuations under multi-scale and multi-threshold scenarios

Science.gov (United States)

Sui, Guo; Li, Huajiao; Feng, Sida; Liu, Xueyong; Jiang, Meihui

2018-01-01

The multi-scale method is widely used in analyzing time series of financial markets and it can provide market information for different economic entities who focus on different periods. Through constructing multi-scale networks of price fluctuation correlation in the stock market, we can detect the topological relationship between each time series. Previous research has not addressed the problem that the original fluctuation correlation networks are fully connected networks and more information exists within these networks that is currently being utilized. Here we use listed coal companies as a case study. First, we decompose the original stock price fluctuation series into different time scales. Second, we construct the stock price fluctuation correlation networks at different time scales. Third, we delete the edges of the network based on thresholds and analyze the network indicators. Through combining the multi-scale method with the multi-threshold method, we bring to light the implicit information of fully connected networks.

Pricing of Fluctuations in Electricity Markets

OpenAIRE

Tsitsiklis, John N.; Xu, Yunjian

2012-01-01

In an electric power system, demand fluctuations may result in significant ancillary cost to suppliers. Furthermore, in the near future, deep penetration of volatile renewable electricity generation is expected to exacerbate the variability of demand on conventional thermal generating units. We address this issue by explicitly modeling the ancillary cost associated with demand variability. We argue that a time-varying price equal to the suppliers' instantaneous marginal cost may not achieve s...

Why did the price of solar PV Si feedstock fluctuate so wildly in 2004–2009?

International Nuclear Information System (INIS)

Yu Yang; Song Yuhua; Bao Haibo

2012-01-01

Great attention has been paid to the origin of observed wild price fluctuations of solar PV Si feedstock in both contract and spot markets during 2004–2009. This paper sheds light on this issue and tries to resolve it by addressing the following questions: what kind of structural shock is underlying the price fluctuations of PV Si feedstock? How can we quantify the magnitude, timing and relative importance of these shocks? What are their dynamic effects on the real price of PV Si feedstock? By carefully studying development conditions, the structural decomposition of the real price of PV Si feedstock is proposed: exchange rate shocks, production cost shocks, aggregate demand shocks and demand shocks specific to feedstock markets. With a Structural Vector Autoregression model, the paper quantifies and verifies the impact of structural shocks on PV Si feedstock real price changes. Based on national data, an analysis is further taken to confirm the essential role of demand shocks specific to feedstock markets in determining sharper price fluctuations during 2004–2009. The results of this study have important implications for national solar PV development, which can be better promoted and administrated if structural shocks in feedstock markets can be carefully evaluated and understood. - Highlights: ► The determination of solar PV Si feedstock price fluctuation is identified and quantified. ► Systematic structural shocks well explain 2004–2009 price fluctuations of PV Si feedstock. ► Production cost and aggregated demand shocks take longer effects on feedstock price. ► Exchange rate and feedstock specific demand shocks explain sharper price fluctuations. ► Development of national PV power should consider effects of structure shocks.

Social accounting matrix and the effects of economic reform on health price index and household expenditures: Evidence from Iran.

Science.gov (United States)

Keshavarz, Khosro; Najafi, Behzad; Andayesh, Yaghob; Rezapour, Aziz; Abolhallaj, Masoud; Sarabi Asiabar, Ali; Hashemi Meshkini, Amir; Sanati, Ehsan; Mirian, Iman; Nikfar, Shekoofeh; Lotfi, Farhad

2017-01-01

Background: Socioeconomic indicators are the main factors that affect health outcome. Health price index (HPI) and households living costs (HLC) are affected by economic reform. This study aimed at examining the effect of subsidy targeting plan (STP) on HPI and HLC. Methods: The social accounting matrix was used to study the direct and indirect effects of STP. We chose 11 health related goods and services including insurance, compulsory social security services, hospital services, medical and dental services, other human health services, veterinary services, social services, environmental health services, laundry& cleaning and dyeing services, cosmetic and physical health services, and pharmaceutical products in the social accounting matrix to examine the health price index. Data were analyzed by the I-O&SAM software. Results: Due to the subsidy release on energy, water, and bread prices, we found that (i) health related goods and services groups' price index rose between 33.43% and 77.3%, (ii) the living cost index of urban households increased between 48.75% and 58.21%, and (iii) the living cost index of rural households grew between 53.51% and 68.23%. The results demonstrated that the elimination of subsidy would have negative effects on health subdivision and households' costs such that subsidy elimination increased the health prices index and the household living costs, especially among low-income families. The STP had considerable effects on health subdivision price index. Conclusion: The elimination or reduction of energy carriers and basic commodities subsidies have changed health price and households living cost index. Therefore, the policymakers should consider controlling the price of health sectors, price fluctuations and shocks.

Analysis of the Dynamic Evolutionary Behavior of American Heating Oil Spot and Futures Price Fluctuation Networks

Directory of Open Access Journals (Sweden)

Huan Chen

2017-04-01

Full Text Available Heating oil is an extremely important heating fuel to consumers in northeastern United States. This paper studies the fluctuations law and dynamic behavior of heating oil spot and futures prices by setting up their complex network models based on the data of America in recent 30 years. Firstly, modes are defined by the method of coarse graining, the spot price fluctuation network of heating oil (HSPFN and its futures price fluctuation network (HFPFN in different periods are established to analyze the transformation characteristics between the modes. Secondly, several indicators are investigated: average path length, node strength and strength distribution, betweeness, etc. In addition, a function is established to measure and analyze the network similarity. The results show the cumulative time of new nodes appearing in either spot or futures price network is not random but exhibits a growth trend of straight line. Meanwhile, the power law distributions of spot and futures price fluctuations in different periods present regularity and complexity. Moreover, these prices are strongly correlated in stable fluctuation period but weak in the phase of sharp fluctuation. Finally, the time distribution characteristics of important modes in the networks and the evolution results of the topological properties mentioned above are obtained.

Statoil`s exposure to oil price fluctuations: An analysis on investment level and stock price

OpenAIRE

Nåmdal, Synne Meling; Meling, Kristine

2015-01-01

Master's thesis in Finance In this thesis an econometric analysis of Statoil’s investment level and stock return has been performed, with purpose of examine the affect that fluctuations in the price of crude oil has on these variables. The results revealed that crude oil prices have a significant impact on Statoil´s stock returns, due to the direct impact the crude oil price has on Statoil’s cash flows. The investment level does not seem to be affected by either of the variables in the ana...

Statoil`s exposure to oil price fluctuations: An analysis on investment level and stock price

OpenAIRE

Nåmdal, Synne Meling; Meling, Kristine

2015-01-01

In this thesis an econometric analysis of Statoil’s investment level and stock return has been performed, with purpose of examine the affect that fluctuations in the price of crude oil has on these variables. The results revealed that crude oil prices have a significant impact on Statoil´s stock returns, due to the direct impact the crude oil price has on Statoil’s cash flows. The investment level does not seem to be affected by either of the variables in the analysis, and this could indicate...

7 CFR 5.1 - Parity index and index of prices received by farmers.

Science.gov (United States)

2010-01-01

... 7 Agriculture 1 2010-01-01 2010-01-01 false Parity index and index of prices received by farmers... § 5.1 Parity index and index of prices received by farmers. (a) The parity index and related indices... farmers, interest, taxes, and farm wage rates, as revised May 1976 and published in the May 28, 1976, and...

Oil price fluctuations and Its effect on GDP growth

OpenAIRE

Gonzalez , Aaron; Nabiyev, Sherzod

2009-01-01

During the year of 2008, the world has experienced historically high oil prices reaching an all time high of 147 USD per barrel in midsummer. The extreme volatility of what is consider the number one source of energy reopened discussions about energy sustainability and the plausible effects of an oil shock in the global economy.   How reliable oil price is as an economic variable predicting fluctuations in GDP growth remains controversial. Several models have been developed by scholars target...

On the scaling of the distribution of daily price fluctuations in the Mexican financial market index

Science.gov (United States)

Alfonso, Léster; Mansilla, Ricardo; Terrero-Escalante, César A.

2012-05-01

In this paper, a statistical analysis of log-return fluctuations of the IPC, the Mexican Stock Market Index is presented. A sample of daily data covering the period from 04/09/2000-04/09/2010 was analyzed, and fitted to different distributions. Tests of the goodness of fit were performed in order to quantitatively asses the quality of the estimation. Special attention was paid to the impact of the size of the sample on the estimated decay of the distributions tail. In this study a forceful rejection of normality was obtained. On the other hand, the null hypothesis that the log-fluctuations are fitted to a α-stable Lévy distribution cannot be rejected at the 5% significance level.

Performance Analysis of Indonesia’s Mining Sector Price Index

Directory of Open Access Journals (Sweden)

Hastra Reza Satyatama

2017-07-01

Full Text Available Subprime mortage’s crisis in United States 2008 giving effect to the global capital markets especially the stock price index of the mining sector Indonesia. This research analyzes the effect of BI Rate, exchange rate, world gold price, crude oil price, and Dow Jones Industrial Average on the stock price index of the mining sector. This research employs time series monthly data of 2009-2016 with Error Correction Model-Engle Granger (ECM-EG as the method. The analysis showed that the BI rate, exchange rate and world gold price, has a negative and significant effect. World oil prices affect positively but not significant meanwhile the Dow Jones Industrial Average has a positive and significant impact on the stock price index of the mining sector. For investors in the mining sector, should pay attention to the exchange rate of the rupiah and Dow Jones Index significantly in the mining sector of the stock price index.DOI: 10.15408/sjie.v6i2.5395 

76 FR 37828 - Update to Indian Index Zone Price Points

Science.gov (United States)

2011-06-28

... to Indian Index Zone Price Points AGENCY: Office of Natural Resources Revenue, Interior. ACTION... (MMS) Minerals Revenue Management) is announcing an update to Indian index zone price points that will remove certain natural gas index prices from the Indian Index Zone calculation. These changes will impact...

The substitution bias of the consumer price index

OpenAIRE

Frenger, Petter

2006-01-01

Abstract: The paper uses elementary consumer theory to propose an inflation independent ratio definition of the substitution bias of the Laspeyres consumer price index, and derives an approximate substitution bias which depends on the size of the price change as measured by a norm in the Laspeyres plane and on the elasticity of substitution in the direction of the price change. This norm or distance measure can be interpreted as a price substitution index which yields useful in...

Repeat Assessed Values Model for Housing Price Index

Directory of Open Access Journals (Sweden)

Carini Manuela

2017-12-01

Full Text Available This study proposes an innovative methodology, named Repeat Appraised Price Model (RAV, useful for determining the price index numbers for real estate markets and the corresponding index numbers of hedonic prices of main real estate characteristics in the case of a lack of data. The methodological approach proposed in this paper aims to appraise the time series of price index numbers. It integrates the principles of the method of repeat sales with the peculiarities of the Hedonic Price Method, overcoming the problem of an almost total absence of repeat sales for the same property in a given time range; on the other hand, the technique aims to overcome the limitation of the repeat sales technique concerning the inability to take into account the characteristics of individual properties.

Causality relation between the producer price index and the consumer price index. Ecuador Case

Directory of Open Access Journals (Sweden)

Víctor Quinde Rosales

2018-01-01

Full Text Available The present document is an investigation with a type of inductive reasoning. It evaluated the relationship of causality between the producer price index (IPP, and the consumer price index (IPC in a period from January 1998 to December 2016. The unit root test Dickey-Fuller Augmented (DFA was used under an empirical- analytic paradigm, an autoregressive vector-VAR model was generated and the Granger causality test was performed. The results show a positive trend and seasonality in the data of the variables, a VAR model of two variables was obtained with a number of optimal remnants of fourteen VAR2 (14 to which the causality test was performed, demonstrating a bi - directionality of both indices.

Forecasting Construction Tender Price Index in Ghana using Autoregressive Integrated Moving Average with Exogenous Variables Model

Directory of Open Access Journals (Sweden)

Ernest Kissi

2018-03-01

Full Text Available Prices of construction resources keep on fluctuating due to unstable economic situations that have been experienced over the years. Clients knowledge of their financial commitments toward their intended project remains the basis for their final decision. The use of construction tender price index provides a realistic estimate at the early stage of the project. Tender price index (TPI is influenced by various economic factors, hence there are several statistical techniques that have been employed in forecasting. Some of these include regression, time series, vector error correction among others. However, in recent times the integrated modelling approach is gaining popularity due to its ability to give powerful predictive accuracy. Thus, in line with this assumption, the aim of this study is to apply autoregressive integrated moving average with exogenous variables (ARIMAX in modelling TPI. The results showed that ARIMAX model has a better predictive ability than the use of the single approach. The study further confirms the earlier position of previous research of the need to use the integrated model technique in forecasting TPI. This model will assist practitioners to forecast the future values of tender price index. Although the study focuses on the Ghanaian economy, the findings can be broadly applicable to other developing countries which share similar economic characteristics.

Do stock prices drive people crazy?

Science.gov (United States)

Lin, Chung-Liang; Chen, Chin-Shyan; Liu, Tsai-Ching

2015-03-01

This is the first research to examine a potential relation between stock market volatility and mental disorders. Using data on daily incidences of mental disorders in Taiwan over 4000 days from 1998 through 2009 to assess the time-series relation between stock price movements and mental disorders, we observe that stock price fluctuation clearly affects the hospitalization of mental disorders. We find that during a 12-year follow-up period, a low stock price index, a daily fall in the stock price index and consecutive daily falls in the stock price index are all associated with greater of mental disorders hospitalizations. A 1000-point fall in the TAIEX (Taiwan Stock Exchange Capitalization Weighted Stock Index) increases the number of daily mental disorders hospitalizations by 4.71%. A 1% fall in the TAIEX in one single day increases daily hospitalizations for mental disorders by 0.36%. When the stock price index falls one consecutive day, it causes a daily increase of approximately 0.32% hospitalizations due to mental disorders on that day. Stock price index is found to be significant for both gender and all age groups. In addition, daily change is significant for both gender and middle-age groups, whereas accumulated change is significant for males and people aged 45-64. Stockholdings can help people accumulate wealth, but they can also increase mental disorders hospitalizations. In other words, stock price fluctuations do drive people crazy. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine © The Author 2014; all rights reserved.

Online and official price indexes: Measuring Argentina's inflation

OpenAIRE

Cavallo, Alberto F.

2013-01-01

Prices collected from online retailers can be used to construct daily price indexes that complement official statistics. This paper studies their ability to match official inflation estimates in five Latin American countries, with a focus on Argentina, where official statistics have been heavily criticized in recent years. The data were collected between October 2007 and March 2011 from the largest supermarket in each country. In Brazil, Chile, Colombia, and Venezuela, online price indexes ap...

Do financial investors affect the price of wheat?

Directory of Open Access Journals (Sweden)

Daniele Girardi

2012-03-01

Full Text Available It is widely debated whether financial speculation was a significant force behind recent food price fluctuations. As a matter of fact, during the 2000s agricultural commodity derivatives markets were flooded by a ‘wall of money’ coming from financial investors. In agricultural exchanges, the greatest part of this huge financial inflow came from index traders, i.e. financial actors that follow a passive strategy of tracking a commodity index. In this article I present new empirical evidence that supports the hypothesis that financial investments have affected wheat price dynamics in recent years. In particular, I focus on Hard Red Winter (HRW wheat. Since 2007 HRW wheat price fluctuations have been positively related to US stock market returns and oil price movements. These correlations appear to be determined by commodity index traders, since both these relationships proved to be spurious, with the most tracked commodity index as the confounding variable.

Divisia amount and price index for energy consumption

International Nuclear Information System (INIS)

Bentzen, J.

1993-01-01

In connection with the calculation of total energy consumption related to aggregation of the individual fuel's combustion values, an alternative to Btu aggregation (combustion value measurement), designated the ''Divisia index'', is presented. This represents an economic measure for energy consumption. The Divisia index is demonstrated in relation to total national energy consumption and total energy consumption within the Danish housing sector and also with regard to the estimation of price and income elasticity within energy demand. It is only possible to utilize the Divisia index in relation to the last 20 years, which is the period where energy consumption has stagnated. The question of possible irreversible effects on energy consumption caused by large variations in energy prices is discussed. It is suggested that the reaction to a fall in prices is different and less significant than is the case with price rises. In the long term, results point at a reasonably high price elasticity within energy demand. (AB) (22 refs.)

75 FR 34959 - Five-Year Review of Oil Pipeline Pricing Index

Science.gov (United States)

2010-06-21

...] Five-Year Review of Oil Pipeline Pricing Index June 15, 2010. AGENCY: Federal Energy Regulatory... comments on its five-year review of the oil pipeline pricing index established in Revisions to Oil Pipeline...-year review of the oil pricing index, the Commission adopted an index of PPI+1.3 for the five-year...

Calculating the Candy Price Index: A Classroom Inflation Experiment.

Science.gov (United States)

Hazlett, Denise; Hill, Cynthia D.

2003-01-01

Outlines how students develop a price index based on candy-purchasing decisions made by class members. Explains that students used the index to practice calculating inflation rates and to consider the strengths and weaknesses of the consumer price index (CPI). States that the exercise has been used in introductory and intermediate macroeconomics…

How fast do stock prices adjust to market efficiency? Evidence from a detrended fluctuation analysis

Science.gov (United States)

Reboredo, Juan C.; Rivera-Castro, Miguel A.; Miranda, José G. V.; García-Rubio, Raquel

2013-04-01

In this paper we analyse price fluctuations with the aim of measuring how long the market takes to adjust prices to weak-form efficiency, i.e., how long it takes for prices to adjust to a fractional Brownian motion with a Hurst exponent of 0.5. The Hurst exponent is estimated for different time horizons using detrended fluctuation analysis-a method suitable for non-stationary series with trends-in order to identify at which time scale the Hurst exponent is consistent with the efficient market hypothesis. Using high-frequency share price, exchange rate and stock data, we show how price dynamics exhibited important deviations from efficiency for time periods of up to 15 min; thereafter, price dynamics was consistent with a geometric Brownian motion. The intraday behaviour of the series also indicated that price dynamics at trade opening and close was hardly consistent with efficiency, which would enable investors to exploit price deviations from fundamental values. This result is consistent with intraday volume, volatility and transaction time duration patterns.

The case for indexed price caps for U.S. electric utilities

International Nuclear Information System (INIS)

Lowry, M.N.

1991-01-01

Indexed price caps are a promising alternative to traditional, cost-of-service utility rate regulation. In just a decade, they have sprung from the drawing boards of economists to use by major utilities in a number of industries. Several authors have discussed the merits of indexed price caps for U.S. electric utilities. Despite their efforts, many parties to electric utility policy making are unfamiliar with the subject. This is unsurprising given the policy controversies that already embroil the industry. It is also unfortunate, since indexed price caps may help solve some of the problems that prompt these controversies. Indexed price caps can improve electric utility rate regulation in two ways. Utilities would have strong incentives to improve performance without the micromanagement that increasingly characterizes state-level regulation. Utilities could also be granted more extensive marketing freedoms, since indexes can protect customers from cross-subsidization. Two areas of concern about indexed price cap plans have emerged in recent discussions that the author has held with officials of electric utilities, intervenor groups, and regulatory agencies. Officials are often unclear on plan details, and therefore may not appreciate the degree of flexibility that is possible in plan design. Confusion over the available options in price cap adjustment indexes and the logic behind them is especially widespread. Officials also desire a clearer expression of how indexed price caps can coexist with current regulatory initiatives. This article details the major attributes of index plans, provides a brief history of indexing, discusses index design options in depth, and concludes with a vision of how indexed price caps can be made operational in today's electric utility industry

"The Consumer Price Index As a Measure of Inflation"

OpenAIRE

Dimitri B. Papadimitriou; L. Randall Wray

1996-01-01

As inflation approaches zero, it becomes increasingly important to examine the price indices on which monetary policy is based. The most popularly used aggregate price statistic in the U.S. is the Consumer Price Index (CPI), a statistic that appears to be a focal point in monetary policy deliberations. A problem associated with using the CPI, a fixed weight index of the cost-of-living, is that there are likely to be biases in the index as a measure of inflation. In this paper we use a simple ...

Analysis on the Impact of the Fluctuation of the International Gold Prices on the Chinese Gold Stocks

Directory of Open Access Journals (Sweden)

Jiankang Jin

2014-01-01

Full Text Available Five gold stocks in Chinese Shanghai and Shenzhen A-share and Comex gold futures are chosen to form the sample, for the purpose of analysing the impact of the fluctuation of the international gold prices on the gold stocks in Chinese Shanghai and Shenzhen A-share. Using the methods of unit root test, Granger causality test, VAR model, and impulse response function, this paper has analysed the relationship between the price change of the international gold futures and the price fluctuation of gold stocks in Chinese Shanghai and Shenzhen comprehensively. The results suggest the fluctuation of the international gold futures has a strong influence on the domestic futures.

Is the Carli index flawed?: assessing the case for the new retail price index RPIJ.

Science.gov (United States)

Levell, Peter

2015-02-01

The paper discusses the recent decision of the UK's Office for National Statistics to replace the controversial Carli index with the Jevons index in a new version of the retail price index-RPIJ. In doing so we make three contributions to the way that price indices should be selected for measures of consumer price inflation when quantity information is not available (i.e. at the 'elementary' level). Firstly, we introduce a new price bouncing test under the test approach for choosing index numbers. Secondly, we provide empirical evidence on the performance of the Carli and Jevons indices in different contexts under the statistical approach. Thirdly, applying something analogous to the principle of insufficient reason, we argue contrary to received wisdom in the literature, that the economic approach can be used to choose indices at the elementary level, and moreover that it favours the use of the Jevons index. Overall, we conclude that there is a case against the Carli index and that the Jevons index is to be preferred.

Research on the trend of Yen exchange rate and international crude oil price fluctuation affected by Japan’s earthquake

Directory of Open Access Journals (Sweden)

Xiaoguang Li

2014-05-01

Full Text Available Purpose: Whether this earthquake would become a turning point of the high oil price and whether it would have big impact on yen exchange rate are two issues to be discussed in this paper.Design/methodology/approach: To analyze deeply the internal relations between changes in yen exchange rate caused by Japan’s earthquake and price fluctuation of international crude oil, this research chooses middle rate of yen exchange rate during the 45 days around Japan’s earthquake and price data of international crude oil to do an empirical study, uses VAR model and HP trend decomposition to estimate the mutual effect of yen exchange rate change and price fluctuation of international crude oil in this period.Findings: It has been found in the empirical study with VAR model and HP filter decomposition model on the yen exchange rate and the international crude oil price fluctuation during 45 days around Japan’s earthquake that: the fluctuation of yen exchange rate around the earthquake is one of the main reasons for the drastic fluctuation of international crude oil price in that period. The fluctuation of international crude oil price directly triggered by yen exchange rate occupies 13.54% of its total variance. There is a long-term interactive relationship between yen exchange rate and international crude oil price. The upward trend of international crude oil price after the earthquake was obvious, while yen exchange rate remained relatively stable after the earthquake.Originality/value: As economic globalization goes deeper, the influence of natural disasters on international financial market and world economy will become more and more obvious. It has a great revelatory meaning to studying further each kind of natural disaster’s impacts on international financial market and world economics.

75 FR 80300 - Five-Year Review of Oil Pipeline Pricing Index

Science.gov (United States)

2010-12-22

...] Five-Year Review of Oil Pipeline Pricing Index Issued December 16, 2010. AGENCY: Federal Energy... five-year review of the oil pricing index, established in Order No. 561. After consideration of the... period commencing July 1, 2011. \\1\\ Five-Year Review of Oil Pipeline Pricing Index, 75 FR 34959 (June 21...

Time scale defined by the fractal structure of the price fluctuations in foreign exchange markets

Science.gov (United States)

Kumagai, Yoshiaki

2010-04-01

In this contribution, a new time scale named C-fluctuation time is defined by price fluctuations observed at a given resolution. The intraday fractal structures and the relations of the three time scales: real time (physical time), tick time and C-fluctuation time, in foreign exchange markets are analyzed. The data set used is trading prices of foreign exchange rates; US dollar (USD)/Japanese yen (JPY), USD/Euro (EUR), and EUR/JPY. The accuracy of the data is one minute and data within a minute are recorded in order of transaction. The series of instantaneous velocity of C-fluctuation time flowing are exponentially distributed for small C when they are measured by real time and for tiny C when they are measured by tick time. When the market is volatile, for larger C, the series of instantaneous velocity are exponentially distributed.

The analysis of volatility of gold coin price fluctuations in Iran using ARCH & VAR models

Directory of Open Access Journals (Sweden)

Younos Vakilolroaya

2014-03-01

Full Text Available The aim of this study is to investigate the changes in gold price and modeling of its return volatility and conditional variance model. The study gathers daily prices of gold coins as the dependent variable and the price of gold in world market, the price of oil in OPEC, exchange rate USD to IRR and index of Tehran Stock Exchange from March 2007 to July 2013 and using ARCH family models and VAR methods, the study analysis the data. The study first examines whether the data are stationary or not and then it reviews the household stability, Arch and Garch models. The proposed study investigates the causality among variables, selects different factors, which could be blamed of uncertainty in the coin return. The results indicate that the effect of sudden changes of standard deviation and after a 14-day period disappears and gold price goes back to its initial position. In addition, in this study we observe the so-called leverage effect in Iran’s Gold coin market, which means the good news leads to more volatility in futures market than bad news in an equal size. Finally, the result of analysis of variance implies that in the short-term, a large percentage change in uncertainty of the coin return is due to changes in the same factors and volatility of stock returns in the medium term, global gold output, oil price and exchange rate fluctuation to some extent will show the impact. In the long run, the effects of parameters are more evident.

DOES FEAR (VIX INDEX INCITE VOLATILITY IN FOOD PRICES?

Directory of Open Access Journals (Sweden)

Gökhan Çınar

2017-04-01

Full Text Available Globally, the volatility trend in food prices has continued to increase. Different data give the impression that this volatility may be caused by the international finance markets’ propagation effect. For this reason, the study focused on the VIX (fear index that is used to measure the movement in Standard & Poor’s 500 index. The main objective of the study is to analyze the degree of volatility between the VIX index and the wheat market. The research is comprised of monthly data obtained from year 2000 to 2015. The study employs the BEKK GARCH method. The findings show that the variance shocks in the fear index damage food prices. The results may be useful to policy makers in researching the causes of changes in the prices of food commodity and taking necessary measures.

Fish is food--the FAO's fish price index.

Science.gov (United States)

Tveterås, Sigbjørn; Asche, Frank; Bellemare, Marc F; Smith, Martin D; Guttormsen, Atle G; Lem, Audun; Lien, Kristin; Vannuccini, Stefania

2012-01-01

World food prices hit an all-time high in February 2011 and are still almost two and a half times those of 2000. Although three billion people worldwide use seafood as a key source of animal protein, the Food and Agriculture Organization (FAO) of the United Nations-which compiles prices for other major food categories-has not tracked seafood prices. We fill this gap by developing an index of global seafood prices that can help to understand food crises and may assist in averting them. The fish price index (FPI) relies on trade statistics because seafood is heavily traded internationally, exposing non-traded seafood to price competition from imports and exports. Easily updated trade data can thus proxy for domestic seafood prices that are difficult to observe in many regions and costly to update with global coverage. Calculations of the extent of price competition in different countries support the plausibility of reliance on trade data. Overall, the FPI shows less volatility and fewer price spikes than other food price indices including oils, cereals, and dairy. The FPI generally reflects seafood scarcity, but it can also be separated into indices by production technology, fish species, or region. Splitting FPI into capture fisheries and aquaculture suggests increased scarcity of capture fishery resources in recent years, but also growth in aquaculture that is keeping pace with demand. Regionally, seafood price volatility varies, and some prices are negatively correlated. These patterns hint that regional supply shocks are consequential for seafood prices in spite of the high degree of seafood tradability.

Fish is food--the FAO's fish price index.

Directory of Open Access Journals (Sweden)

Sigbjørn Tveterås

Full Text Available World food prices hit an all-time high in February 2011 and are still almost two and a half times those of 2000. Although three billion people worldwide use seafood as a key source of animal protein, the Food and Agriculture Organization (FAO of the United Nations-which compiles prices for other major food categories-has not tracked seafood prices. We fill this gap by developing an index of global seafood prices that can help to understand food crises and may assist in averting them. The fish price index (FPI relies on trade statistics because seafood is heavily traded internationally, exposing non-traded seafood to price competition from imports and exports. Easily updated trade data can thus proxy for domestic seafood prices that are difficult to observe in many regions and costly to update with global coverage. Calculations of the extent of price competition in different countries support the plausibility of reliance on trade data. Overall, the FPI shows less volatility and fewer price spikes than other food price indices including oils, cereals, and dairy. The FPI generally reflects seafood scarcity, but it can also be separated into indices by production technology, fish species, or region. Splitting FPI into capture fisheries and aquaculture suggests increased scarcity of capture fishery resources in recent years, but also growth in aquaculture that is keeping pace with demand. Regionally, seafood price volatility varies, and some prices are negatively correlated. These patterns hint that regional supply shocks are consequential for seafood prices in spite of the high degree of seafood tradability.

Imports, exports, and Alberta's transmission system impact on price fluctuation

International Nuclear Information System (INIS)

Johnson, K.

2002-01-01

The roles, responsibilities and objectives of ESBI, a private for-profit company, appointed by the Alberta Government to be the Independent Transmission Administrator in the province, is sketched, prior to a discussion of price volatility in electricity, Alberta interconnections, intertie issues, the economic theory and the reality impact on prices. Given that imports and exports constitute a relatively small proportion of total generation or load in Alberta, price volatility is considered to have been only minimally affected by imports/exports. In contrast, transmission constraints, i.e. the limits on physical capacity of the existing transmission system to accommodate all desired transactions, have significant impact on imports/exports. Factors underlying constraints and price volatility such as uncertainty of generation dispatch, leading to reduced interest to invest, which in turn leads to scarce capacity for imports/exports, and the actions required to reduce uncertainty and address other issues such as congestion management, tariff design and the creation of regional transmission organizations, are also discussed to provide further clarification of the issues. It is suggested that these and other related issues need to be resolved to provide the clarity around transmission access and the tools required to manage price fluctuations

Ambiguity Aversion, Asset Prices, and the Welfare Costs of Aggregate Fluctuations

DEFF Research Database (Denmark)

Alonso, Irasema; Prado, Mauricio

2015-01-01

with a representative agent facing consumption fluctuations calibrated to match U.S. data from 1889 to 2008. Our experiment is to restrict preference parameters in order to as well as possible match some asset-price facts—the average returns on equity and a short-term risk-free bond—and then compute the welfare...

Tradeoffs between Price and Quality: How a Value Index Affects Preference Formation.

Science.gov (United States)

Creyer, Elizabeth H.; Ross, William T., Jr.

1997-01-01

Some of a group of 143 consumers were given a choice between higher-priced, higher-quality items and items with lower price and quality but higher value index (benefit/cost tradeoff); others were given price and quality information only. Consumers were more likely to choose lower-priced, higher-value options when the index information was…

A Consistent Pricing Model for Index Options and Volatility Derivatives

DEFF Research Database (Denmark)

Cont, Rama; Kokholm, Thomas

observed properties of variance swap dynamics and allows for jumps in volatility and returns. An affine specification using L´evy processes as building blocks leads to analytically tractable pricing formulas for options on variance swaps as well as efficient numerical methods for pricing of European......We propose and study a flexible modeling framework for the joint dynamics of an index and a set of forward variance swap rates written on this index, allowing options on forward variance swaps and options on the underlying index to be priced consistently. Our model reproduces various empirically...... options on the underlying asset. The model has the convenient feature of decoupling the vanilla skews from spot/volatility correlations and allowing for different conditional correlations in large and small spot/volatility moves. We show that our model can simultaneously fit prices of European options...

A Price Index Model for Road Freight Transportation and Its Empirical analysis in China

Directory of Open Access Journals (Sweden)

Liu Zhishuo

2017-01-01

Full Text Available The aim of price index for road freight transportation (RFT is to reflect the changes of price in the road transport market. Firstly, a price index model for RFT based on the sample data from Alibaba logistics platform is built. This model is a three levels index system including total index, classification index and individual index and the Laspeyres method is applied to calculate these indices. Finally, an empirical analysis of the price index for RFT market in Zhejiang Province is performed. In order to demonstrate the correctness and validity of the exponential model, a comparative analysis with port throughput and PMI index is carried out.

Mercurious Oil Index (MOI) : A new indicator for the global oil price

OpenAIRE

Leeuw, de, J.; Dorsman, A.B.; Nelissen, R.

2008-01-01

“The” price of oil does not exist. This paper describes the development of a (new) oil index, the Mercurious Oil Index (MOI). This index can be seen as an indicator for the global price of oil. We will discuss why this index is a reliable global price reference, and why it is superior to and more useful than the existing indices and/or benchmarks. Indices are very helpful instruments for the tracking and prediction of markets, to measure performance or sentiment and to form a solid basis on w...

77 FR 9925 - Price Index Adjustments for Expenditure Limitations and Lobbyist Bundling Disclosure Threshold

Science.gov (United States)

2012-02-21

... FEDERAL ELECTION COMMISSION [Notice 2012-02] Price Index Adjustments for Expenditure Limitations...)(A)) are adjusted periodically to reflect changes in the consumer price index. See 2 U.S.C. 434(i)(3... difference between the price index, as certified to the Commission by the Secretary of Labor, for the 12...

Social Security cost-of-living adjustments and the Consumer Price Index.

Science.gov (United States)

Burdick, Clark; Fisher, Lynn

2007-01-01

OASDI benefits are indexed for inflation to protect beneficiaries from the loss of purchasing power implied by inflation. In the absence of such indexing, the purchasing power of Social Security benefits would be eroded as rising prices raise the cost of living. By statute, cost-of-living adjustments (COLAs) for Social Security benefits are calculated using the Bureau of Labor Statistics (BLS) Consumer Price Index for Urban Wage Earners and Clerical Workers (CPI-W). Some argue that this index does not accurately reflect the inflation experienced by the elderly population and should be changed to an elderly-specific price index such as the Experimental Consumer Price Index for Americans 62 Years of Age and Older, often referred to as the Consumer Price Index for the Elderly (CPI-E). Others argue that the measure of inflation underlying the COLA is technically biased, causing it to overestimate changes in the cost of living. This argument implies that current COLAs tend to increase, rather than merely maintain, the purchasing power of benefits over time. Potential bias in the CPI as a cost-of-living index arises from a number of sources, including incomplete accounting for the ability of consumers to substitute goods or change purchasing outlets in response to relative price changes. The BLS has constructed a new index called the Chained Consumer Price Index for All Urban Consumers (C-CPI-U) that better accounts for those consumer adjustments. Price indexes are not true cost-of-living indexes, but approximations of cost-of-living indexes (COLI). The Bureau of Labor Statistics (2006a) explains the difference between the two: As it pertains to the CPI, the COLI for the current month is based on the answer to the following question: "What is the cost, at this month ' market prices, of achieving the standard of living actually attained in the base period?" This cost is a hypothetical expenditure-the lowest expenditure level necessary at this month's prices to achieve the

75 FR 8353 - Price Index Adjustments for Expenditure Limitations and Lobbyist Bundling Disclosure Threshold

Science.gov (United States)

2010-02-24

... FEDERAL ELECTION COMMISSION [Notice 2010-02] Price Index Adjustments for Expenditure Limitations... price index. See 2 U.S.C. 434(i)(3) and 441a(c)(1), and 11 CFR 109.32 and 110.17(a), (f). The Commission... is increased by 4.35110, which reflects the difference between the price index, as certified to the...

Analysis of the impact of crude oil price fluctuations on China's stock market in different periods-Based on time series network model

Science.gov (United States)

An, Yang; Sun, Mei; Gao, Cuixia; Han, Dun; Li, Xiuming

2018-02-01

This paper studies the influence of Brent oil price fluctuations on the stock prices of China's two distinct blocks, namely, the petrochemical block and the electric equipment and new energy block, applying the Shannon entropy of information theory. The co-movement trend of crude oil price and stock prices is divided into different fluctuation patterns with the coarse-graining method. Then, the bivariate time series network model is established for the two blocks stock in five different periods. By joint analysis of the network-oriented metrics, the key modes and underlying evolutionary mechanisms were identified. The results show that the both networks have different fluctuation characteristics in different periods. Their co-movement patterns are clustered in some key modes and conversion intermediaries. The study not only reveals the lag effect of crude oil price fluctuations on the stock in Chinese industry blocks but also verifies the necessity of research on special periods, and suggests that the government should use different energy policies to stabilize market volatility in different periods. A new way is provided to study the unidirectional influence between multiple variables or complex time series.

Interacting price model and fluctuation behavior analysis from Lempel–Ziv complexity and multi-scale weighted-permutation entropy

Energy Technology Data Exchange (ETDEWEB)

Li, Rui, E-mail: lirui1401@bjtu.edu.cn; Wang, Jun

2016-01-08

A financial price model is developed based on the voter interacting system in this work. The Lempel–Ziv complexity is introduced to analyze the complex behaviors of the stock market. Some stock market stylized facts including fat tails, absence of autocorrelation and volatility clustering are investigated for the proposed price model firstly. Then the complexity of fluctuation behaviors of the real stock markets and the proposed price model are mainly explored by Lempel–Ziv complexity (LZC) analysis and multi-scale weighted-permutation entropy (MWPE) analysis. A series of LZC analyses of the returns and the absolute returns of daily closing prices and moving average prices are performed. Moreover, the complexity of the returns, the absolute returns and their corresponding intrinsic mode functions (IMFs) derived from the empirical mode decomposition (EMD) with MWPE is also investigated. The numerical empirical study shows similar statistical and complex behaviors between the proposed price model and the real stock markets, which exhibits that the proposed model is feasible to some extent. - Highlights: • A financial price dynamical model is developed based on the voter interacting system. • Lempel–Ziv complexity is the firstly applied to investigate the stock market dynamics system. • MWPE is employed to explore the complexity fluctuation behaviors of the stock market. • Empirical results show the feasibility of the proposed financial model.

Interacting price model and fluctuation behavior analysis from Lempel–Ziv complexity and multi-scale weighted-permutation entropy

International Nuclear Information System (INIS)

Li, Rui; Wang, Jun

2016-01-01

A financial price model is developed based on the voter interacting system in this work. The Lempel–Ziv complexity is introduced to analyze the complex behaviors of the stock market. Some stock market stylized facts including fat tails, absence of autocorrelation and volatility clustering are investigated for the proposed price model firstly. Then the complexity of fluctuation behaviors of the real stock markets and the proposed price model are mainly explored by Lempel–Ziv complexity (LZC) analysis and multi-scale weighted-permutation entropy (MWPE) analysis. A series of LZC analyses of the returns and the absolute returns of daily closing prices and moving average prices are performed. Moreover, the complexity of the returns, the absolute returns and their corresponding intrinsic mode functions (IMFs) derived from the empirical mode decomposition (EMD) with MWPE is also investigated. The numerical empirical study shows similar statistical and complex behaviors between the proposed price model and the real stock markets, which exhibits that the proposed model is feasible to some extent. - Highlights: • A financial price dynamical model is developed based on the voter interacting system. • Lempel–Ziv complexity is the firstly applied to investigate the stock market dynamics system. • MWPE is employed to explore the complexity fluctuation behaviors of the stock market. • Empirical results show the feasibility of the proposed financial model.

31 CFR Appendix D to Part 356 - Description of the Consumer Price Index

Science.gov (United States)

2010-07-01

... Price Index (“CPI”) for purposes of inflation-protected securities is the non-seasonally adjusted U.S...' services, and drugs. In calculating the index, price changes for the various items are averaged together... Index D Appendix D to Part 356 Money and Finance: Treasury Regulations Relating to Money and Finance...

76 FR 8368 - Price Index Adjustments for Contribution and Expenditure Limits and Lobbyist Bundling Disclosure...

Science.gov (United States)

2011-02-14

... FEDERAL ELECTION COMMISSION [Notice 2011-01] Price Index Adjustments for Contribution and... lobbyists (2 U.S.C. 434(i)(3)(A)) are adjusted periodically to reflect changes in the consumer price index... percent difference between the price index, as certified to the Commission by the Secretary of Labor, for...

Indexing of gas prices with respect to those of petroleum products: problem and perspectives

International Nuclear Information System (INIS)

Percebois, J.; Sauvage, E.; Valette, M.; Liens, G.; Lu, L.

2009-01-01

A debate was organized by the French gas association (AFG) on December 2, 2008 around the question of: is it opportune to maintain the present day system of indexing of gas prices with respect to petroleum product prices? Even if the basic reasons justifying this indexing system have changed with time, and despite the recent hostility of the European Commission, this practice remains the standard for the huge majority of gas transactions. Does this indexing system favour the producers? In spite of their apparent interest, do the consumers really wish to replace indexed prices by market prices in a context where strong uncertainties and tensions on gas markets cannot be excluded? Is the present day status quo the result of the situation imposed by producers or is it the consequences of contradictory anticipations between sellers and buyers? Will gas prices remain indexed on petroleum prices in the future and if not, what would be the possible alternatives? These are the questions debated by the participants and reported in this paper with the questions from the audience. (J.S.)

Oil price fluctuations and employment in Kern County: A Vector Error Correction approach

International Nuclear Information System (INIS)

Michieka, Nyakundi M.; Gearhart, Richard

2015-01-01

Kern County is one of the country's largest oil producing regions, in which the oil industry employs a significant fraction of the labor force in the county. In this study, the short- and long-run effects of oil price fluctuations on employment in Kern County are investigated using a Vector Error Correction model (VECM). Empirical results over the period 1990:01 to 2015:03 suggest long-run causality running from both WTI and Brent oil prices to employment. No causality is detected in the short-run. Kern County should formulate appropriate policies, which take into account the fact that changes in oil prices have long-term effects on employment rather than short term. - Highlights: • Kern County is California's largest oil producing region. • Historical data has shown increased employment during periods of high oil prices. • We study the short- and long run effects of oil prices on employment in Kern County. • Results suggest long run causality running from WTI and Brent to employment. • No causality is detected in the short run.

Global economic activity and crude oil prices. A cointegration analysis

International Nuclear Information System (INIS)

He, Yanan; Wang, Shouyang; Lai, Kin Keung

2010-01-01

This paper empirically investigates the cointegrating relationship between crude oil prices and global economic activity. The Kilian economic index is used as an indicator of global economic activity. Based on a supply-demand framework and the cointegration theory, we find that real futures prices of crude oil are cointegrated with the Kilian economic index and a trade weighted US dollar index, and crude oil prices are influenced significantly by fluctuations in the Kilian economic index through both long-run equilibrium conditions and short-run impacts. We also develop an empirically stable, data-coherent and single-equation error-correction model (ECM) which has sensible economic properties. Empirical results based on the ECM show that the adjustment implied by a permanent change in the Kilian economic index is a relatively drawn-out process. (author)

A Price Index for Deflation of Academic R&D Expenditures.

Science.gov (United States)

National Science Foundation, Washington, DC.

This study relates to price trends affecting research and development (R&D) activities at academic institutions. Part I of this report provides the overall results of the study with limited discussion of measurement concepts, methodology and limitations. Part II deals with price indexes and deflation-general concepts and methodology. Part III…

Genetic and environmental transmission of body mass index fluctuation.

Science.gov (United States)

Bergin, Jocilyn E; Neale, Michael C; Eaves, Lindon J; Martin, Nicholas G; Heath, Andrew C; Maes, Hermine H

2012-11-01

This study sought to determine the relationship between body mass index (BMI) fluctuation and cardiovascular disease phenotypes, diabetes, and depression and the role of genetic and environmental factors in individual differences in BMI fluctuation using the extended twin-family model (ETFM). This study included 14,763 twins and their relatives. Health and Lifestyle Questionnaires were obtained from 28,492 individuals from the Virginia 30,000 dataset including twins, parents, siblings, spouses, and children of twins. Self-report cardiovascular disease, diabetes, and depression data were available. From self-reported height and weight, BMI fluctuation was calculated as the difference between highest and lowest BMI after age 18, for individuals 18-80 years. Logistic regression analyses were used to determine the relationship between BMI fluctuation and disease status. The ETFM was used to estimate the significance and contribution of genetic and environmental factors, cultural transmission, and assortative mating components to BMI fluctuation, while controlling for age. We tested sex differences in additive and dominant genetic effects, parental, non-parental, twin, and unique environmental effects. BMI fluctuation was highly associated with disease status, independent of BMI. Genetic effects accounted for ~34 % of variance in BMI fluctuation in males and ~43 % of variance in females. The majority of the variance was accounted for by environmental factors, about a third of which were shared among twins. Assortative mating, and cultural transmission accounted for only a small proportion of variance in this phenotype. Since there are substantial health risks associated with BMI fluctuation and environmental components of BMI fluctuation account for over 60 % of variance in males and over 50 % of variance in females, environmental risk factors may be appropriate targets to reduce BMI fluctuation.

A Partial Backlogging Inventory Model for Deteriorating Items with Fluctuating Selling Price and Purchasing Cost

Directory of Open Access Journals (Sweden)

Hui-Ling Yang

2012-01-01

Full Text Available In today’s competitive markets, selling price and purchasing cost are usually fluctuating with economic conditions. Both selling price and purchasing cost are vital to the profitability of a firm. Therefore, in this paper, I extend the inventory model introduced by Teng and Yang (2004 to allow for not only the selling price but also the purchasing cost to change from one replenishment cycle to another during a finite time horizon. The objective is to find the optimal replenishment schedule and pricing policy to obtain the profit as maximum as possible. The conditions that lead to a maximizing solution guarantee that the existence, uniqueness, and global optimality are proposed. An efficient solution procedure and some theoretical results are presented. Finally, numerical examples for illustration and sensitivity analysis for managerial decision making are also performed.

Carbon price volatility: Evidence from EU ETS

International Nuclear Information System (INIS)

Feng, Zhen-Hua; Zou, Le-Le; Wei, Yi-Ming

2011-01-01

This paper examines carbon price volatility using data from the European Union Emission Trading Scheme from a nonlinear dynamics point of view. First, we use a random walk model, including serial correlation and variance ratio tests, to determine whether carbon price history information is fully reflected in current carbon price. The empirical research results show that carbon price is not a random walk: the price history information is not fully reflected in current carbon price. Second, use R/S, modified R/S and ARFIMA to analyse the memory of carbon price history. For the period April 2005-December 2008, the modified Hurst index of the carbon price is 0.4859 and the d value of ARFIMA is -0.1191, indicating short-term memory of the carbon price. Third, we use chaos theory to analyse the influence of the carbon market internal mechanism on carbon price, i.e., the market's positive and negative feedback mechanism and the heterogeneous environment. Chaos theory proves that the correlation dimension of carbon price increases. The maximal Lyapunov exponent is positive and large. There is no obvious complex endogenous phenomenon of nonlinear dynamics the carbon price fluctuation. The carbon market is mildly chaotic, showing both market and fractal market characteristics. Price fluctuation is not only influenced by the internal market mechanism, but is also impacted by the heterogeneous environment. Finally, we provide suggestions for regulation and development of carbon market.

Price Response to Factor Index Additions and Deletions

NARCIS (Netherlands)

J.J. Huij (Joop); G.S. Kyosev (Georgi)

2016-01-01

textabstractAbnormal price reaction around S&P 500 index changes has been considered as strong evidence that long term demand for stocks is downward sloping. This notion, however, has recently lost popularity due to the evidence that new additions are accompanied with a contemporaneous change in

Value at Risk on Composite Price Share Index Stock Data

Science.gov (United States)

Oktaviarina, A.

2018-01-01

The financial servicest authority was declared Let’s Save Campaign on n commemoration of the World Savings Day that falls on this day, October 31, 2016. The activity was greeted enthusiastically by Indonesia Stock Exchange by taking out the slogan Let’s Save The Stocks. Stock is a form of investment that is expected to benefit in the future despite has risks. Value at Risk (VaR) is a method that can measure how much the risk of a financial investment. Composite Stock Price Indeks is the stock price index used by Indonesia Stock Exchange as stock volatility benchmarks in Indonesia. This study aimed to estimate Value at Risk (VaR) on closing price Composite Price Share Index Stock data on the period 20 September 2016 until 20 September 2017. Box-Pierce test results p value=0.9528 which is greater than a, that shows homoskedasticity. Value at Risk (VaR) with Variance Covariance Method is Rp.3.054.916,07 which means with 99% confindence interval someone who invests Rp.100.000.000,00 will get Rp.3.054.916,07 as a maximum loss.

Complex dynamic behaviors of oriented percolation-based financial time series and Hang Seng index

International Nuclear Information System (INIS)

Niu, Hongli; Wang, Jun

2013-01-01

Highlights: • We develop a financial time series model by two-dimensional oriented percolation system. • We investigate the statistical behaviors of returns for HSI and the financial model by chaos-exploring methods. • We forecast the phase point of reconstructed phase space by RBF neural network. -- Abstract: We develop a financial price model by the two-dimensional oriented (directed) percolation system. The oriented percolation model is a directed variant of ordinary (isotropic) percolation, and it is applied to describe the fluctuations of stock prices. In this work, we assume that the price fluctuations result from the participants’ investment attitudes toward the market, and we investigate the information spreading among the traders and the corresponding effect on the price fluctuations. We study the complex dynamic behaviors of return time series of the model by using the multiaspect chaos-exploring methods. And we also explore the corresponding behaviors of the actual market index (Hang Seng Index) for comparison. Further, we introduce the radial basic function (RBF) neural network to train and forecast the phase point of reconstructed phase space

Fractional Ornstein-Uhlenbeck for index prices of FTSE Bursa Malaysia KLCI

Science.gov (United States)

Chen, Kho Chia; Bahar, Arifah; Ting, Chee-Ming

2014-07-01

This paper studies the Ornstein-Uhlenbeck model that incorporates long memory stochastic volatility which is known as fractional Ornstein-Uhlenbeck model. The determination of the existence of long range dependence of the index prices of FTSE Bursa Malaysia KLCI is measured by the Hurst exponent. The empirical distribution of unobserved volatility is estimated using the particle filtering method. The performance between fractional Ornstein -Uhlenbeck and standard Ornstein -Uhlenbeck process had been compared. The mean square errors of the fractional Ornstein-Uhlenbeck model indicated that the model describes index prices better than the standard Ornstein-Uhlenbeck process.

Understanding international commodity price fluctuations

NARCIS (Netherlands)

Arezki, Rabah; Loungani, Prakash; van der Ploeg, Rick; Venables, Anthony J.

An overview is provided of recent work on commodity prices, focusing on three themes: (i) "financialization" of commodity markets--commodities being considered by financial investors as a distinct asset class, (ii) trends and forecasts of commodity prices, and (iii) fracking-a shorthand for the

75 FR 49411 - Consumer Price Index Adjustments of Oil Pollution Act of 1990 Limits of Liability-Vessels and...

Science.gov (United States)

2010-08-13

... Consumer Price Index Adjustments of Oil Pollution Act of 1990 Limits of Liability--Vessels and Deepwater... ports to reflect significant increases in the Consumer Price Index. The amendment triggered information... interim rule entitled ``Consumer Price Index Adjustments of Oil Pollution Act of 1990 Limits of Liability...

The fluctuations in oil prices in the OPEC countries and the impact on the world oil market

Directory of Open Access Journals (Sweden)

Buryanova N.V.

2017-08-01

Full Text Available the article examines the issues of influence of OPEC countries on the international oil market. Also, the author analyzes the state of the oil market and fluctuations in oil prices at the macroeconomic level for 2011–2016.

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.

The development of a value based pricing index for new drugs in metastatic colorectal cancer.

Science.gov (United States)

Dranitsaris, George; Truter, Ilse; Lubbe, Martie S

2011-06-01

Worldwide, prices for cancer drugs have been under downward pressure where several governments have mandated price cuts of branded products. A better alternative to government mandated price cuts would be to estimate a final price based on drug performance, cost effectiveness and a country's ability to pay. We developed a global pricing index for new cancer drugs in patients with metastatic colorectal cancer (mCRC) that encompasses all of these attributes. A pharmacoeconomic model was developed to simulate mCRC patients receiving chemotherapy plus a 'new drug' that improves survival by 1.4, 3 and 6months, respectively. Cost and utility data were obtained from cancer centres and oncology nurses (n=112) in Canada, Spain, India, South Africa and Malaysia. Multivariable analysis was then used to develop the pricing index, which considers survival benefit, per capita GDP and income dispersion (as measured by the Gini coefficient) as predictor variables. Higher survival benefits were associated with elevated drug prices, especially in higher income countries such as Canada. For Argentina with a per capita GDP of $15,000 and a Gini coefficient of 51, the index estimated that for a drug which provides a 4month survival benefit in mCRC, the value based price would be $US 630 per dose. In contrast, the same drug in a wealthier country like Norway (per capita GDP=$50,000) could command a price of $US 2,775 per dose. The application of this index to estimate a price based on cost effectiveness and the wealth of a nation would be important for opening dialogue between the key stakeholders and a better alternative to government mandated price cuts. Copyright © 2011 Elsevier Ltd. All rights reserved.

Theory of Financial Risk and Derivative Pricing - 2nd Edition

Science.gov (United States)

Bouchaud, Jean-Philippe; Potters, Marc

2003-12-01

Foreword; Preface; 1. Probability theory: basic notions; 2. Maximum and addition of random variables; 3. Continuous time limit, Ito calculus and path integrals; 4. Analysis of empirical data; 5. Financial products and financial markets; 6. Statistics of real prices: basic results; 7. Non-linear correlations and volatility fluctuations; 8. Skewness and price-volatility correlations; 9. Cross-correlations; 10. Risk measures; 11. Extreme correlations and variety; 12. Optimal portfolios; 13. Futures and options: fundamental concepts; 14. Options: hedging and residual risk; 15. Options: the role of drift and correlations; 16. Options: the Black and Scholes model; 17. Options: some more specific problems; 18. Options: minimum variance Monte-Carlo; 19. The yield curve; 20. Simple mechanisms for anomalous price statistics; Index of most important symbols; Index.

Oil price fluctuations and their impact on the macroeconomic variables of Kuwait: a case study using a VAR model

International Nuclear Information System (INIS)

Eltony, M. Nagy; Al-Awadi, Mohammad

2001-01-01

In this study, a vector autoregression model (VAR) and a vector error correction model (VECM) were estimated to examine the impact of oil price fluctuations on seven key macroeconomic variables for the Kuwaiti economy. Quarterly data for the period 1984-1998 were utilised. Theoretically and empirically speaking, VECM is superior to the VAR approach. Also, the results corresponding to the VECM model are closer to common sense. However, the estimated models indicate a high degree of interrelation between major macroeconomic variables. The empirical results highlight the causality running from the oil prices and oil revenues, to government development and current expenditure and then towards other variables. For the most part, the empirical evidence indicates that oil price shocks and hence oil revenues have a notable impact on government expenditure, both development and current. However, government development expenditure has been influenced relatively more. The results also point out the significant of the CPI in explaining a notable part of the variations of both types of government expenditure. On the other hand, the variations in value of imports are mostly accounted for by oil revenue fluctuations. On the other hand, the variations in value of imports are mostly accounted for by oil revenue fluctuations and then by the fluctuation in government development expenditures. Also, the results from the VECM approach indicate that a significant part of LM2 variance is explained by the variance in oil revenue. It reaches about 46 per cent in the 10th quarter, even more than its own variations. (Author)

Price stabilization for raw jute in Bangladesh

OpenAIRE

Takamasa Akiyama; Varangis, Panos

1991-01-01

Fluctuating prices for raw jute have been viewed as contributing to economic problems in the jute subsector. Price fluctuations were thought to reduce the jute farmers'welfare and there has been concern about the costs of parastatals'stocking operations in attempts to stabilize jute prices and incomes. The authors examine these fluctuations and analyze policies that might reduce them. They find that price fluctuations for raw jute reduce farmers'welfare only slightly because farmers'activitie...

THE EFFECT OF MACROECONOMIC VARIABLES ON BANKING STOCK PRICE INDEX IN INDONESIA STOCK EXCHANGE

Directory of Open Access Journals (Sweden)

Laduna R.

2018-01-01

Full Text Available Stock price index can be regarded as a barometer in the measuremet of a nation’s economic condition, besides it can also be used in conducting statistical analysis on the current market. Stock is the proof of one’s share in a company in the form of securities issued by the listed go-public companies. This study was conducted to measure the effect of macroeconomic variables such as inflation, interest rate, and exchange rate on banking stock price index in Indonesia stock exchange or Bursa Efek Indonesia (BEI. The results of study show that inflation and exchange rate posively influence the stock price index. The positive effect of the exchange rate shows that issuers who were positively affected by Rupiah (IDR depreciation appear to be the most dominant group. Meanwhile, the interest rate or Suku Bunga (SBI has a negative effect. Lower interest rate stimulates higher investments and better economic activities which increase the stock price.

An Analysis of Colombian Power Market Price Behavior from an Industrial Organization Perspective

Directory of Open Access Journals (Sweden)

Ona Duarte Venslauskas

2015-12-01

Full Text Available We analyze the behavior of spot prices in the Colombian wholesale power market, using a series of models derived from industrial organization theory.  We first create a Cournot-based model that simulates the strategic behavior of the market-leader power generators, which we use to estimate two industrial organization variables, the Index of Residual Demand and the Herfindahl-Hirschman Index (HHI.  We use these variables to create VAR models that estimate spot prices and power market impulse-response relationships.  The results from these models show that hydroelectric generators can use their water storage capability strategically to affect off-peak prices primarily, while the thermal generators can manage their capacity strategically to affect on-peak prices.  In addition, shocks to the Index of Residual Capacity and to the HHI cause spot price fluctuations, which can be interpreted as the generators´ strategic response to these shocks.

The macroeconomic effects of oil price fluctuations on a small open oil-producing country. The case of Trinidad and Tobago

International Nuclear Information System (INIS)

Lorde, Troy; Thomas, Chrystol; Jackman, Mahalia

2009-01-01

Using vector autoregressive (VAR) methodology, this paper empirically investigates the macroeconomic effects of oil price fluctuations on Trinidad and Tobago. Overall, we find that the price of oil is a major determinant of economic activity of the country. Our impulse response functions suggest that following a positive oil price shock, output falls within the first two years followed by positive and growing response. We also investigate the macroeconomic impact of oil price volatility. Results suggest that an unanticipated shock to oil price volatility brings about random swings in the macroeconomy; however, only government revenue and the price level exhibit significant responses. With regard to the magnitude of the responses, shocks to oil price volatility tend to yield smaller macroeconomic impacts in comparison to shocks to oil prices. Variance decompositions suggest that the price of oil is a major component of forecast variation for most macroeconomic variables. Finally, Granger-causality tests indicate causality from oil prices to output and oil prices to government revenue. (author)

Forecasting ability of the investor sentiment endurance index: The case of oil service stock returns and crude oil prices

International Nuclear Information System (INIS)

He, Ling T.; Casey, K.M.

2015-01-01

Using a binomial probability distribution model this paper creates an endurance index of oil service investor sentiment. The index reflects the probability of the high or low stock price being the close price for the PHLX Oil Service Sector Index. Results of this study reveal the substantial forecasting ability of the sentiment endurance index. Monthly and quarterly rolling forecasts of returns of oil service stocks have an overall accuracy as high as 52% to 57%. In addition, the index shows decent forecasting ability on changes in crude oil prices, especially, WTI prices. The accuracy of 6-quarter rolling forecasts is 55%. The sentiment endurance index, along with the procedure of true forecasting and accuracy ratio, applied in this study provides investors and analysts of oil service sector stocks and crude oil prices as well as energy policy-makers with effective analytical tools

A reaction-diffusion model for market fluctuations - A relation between price change and traded volumes

Science.gov (United States)

Yuvan, Steven; Bier, Martin

2018-02-01

Two decades ago Bak et al. (1997) [3] proposed a reaction-diffusion model to describe market fluctuations. In the model buyers and sellers diffuse from opposite ends of a 1D interval that represents a price range. Trades occur when buyers and sellers meet. We show analytically and numerically that the model well reproduces the square-root relation between traded volumes and price changes that is observed in real-life markets. The result is remarkable as this relation has commonly been explained in terms of more elaborate trader strategies. We furthermore explain why the square-root relation is robust under model modifications and we show how real-life bond market data exhibit the square-root relation.

Optimal designs of small CHP plants in a market with fluctuating electricity prices

International Nuclear Information System (INIS)

Lund, H.; Andersen, A.N.

2005-01-01

Combined Heat and Power production (CHP) are essential for implementation of the climate change response objectives in many countries. In an introduction period, small CHP plants have typically been offered fixed electricity prices, but in many countries, such pricing conditions are now being replaced by spot market prices. Consequently, new methodologies and tools for the optimisation of small CHP plant designs are needed. The small CHP plants in Denmark are already experienced in optimising their electricity production against the triple tariff, which has existed for almost 10 years. Consequently, the CHP plants have long term experience in organising when to switch on and off the CHP units in order to optimise their profit. Also, the CHP owners have long term experience in designing their plants. For instance, small CHP plants in Denmark have usually invested in excess capacity on the CHP units in combination with heat storage capacity. Thereby, the plants have increased their performance in order to optimise revenues. This paper presents the Danish experience with methodologies and software tools, which have been used to design investment and operation strategies for almost all small CHP plants in Denmark during the decade of the triple tariff. Moreover, the changes in such methodologies and tools in order to optimise performance in a market with fluctuating electricity prices are presented and discussed

Anisotropic power spectrum of refractive-index fluctuation in hypersonic turbulence.

Science.gov (United States)

Li, Jiangting; Yang, Shaofei; Guo, Lixin; Cheng, Mingjian

2016-11-10

An anisotropic power spectrum of the refractive-index fluctuation in hypersonic turbulence was obtained by processing the experimental image of the hypersonic plasma sheath and transforming the generalized anisotropic von Kármán spectrum. The power spectrum suggested here can provide as good a fit to measured spectrum data for hypersonic turbulence as that recorded from the nano-planar laser scattering image. Based on the newfound anisotropic hypersonic turbulence power spectrum, Rytov approximation was employed to establish the wave structure function and the spatial coherence radius model of electromagnetic beam propagation in hypersonic turbulence. Enhancing the anisotropy characteristics of the hypersonic turbulence led to a significant improvement in the propagation performance of electromagnetic beams in hypersonic plasma sheath. The influence of hypersonic turbulence on electromagnetic beams increases with the increase of variance of the refractive-index fluctuation and the decrease of turbulence outer scale and anisotropy parameters. The spatial coherence radius was much smaller than that in atmospheric turbulence. These results are fundamental to understanding electromagnetic wave propagation in hypersonic turbulence.

Forecasting inflation based on the consumer price index, taking into account the impact of seasonal factors

Directory of Open Access Journals (Sweden)

A. K. Sapova

2017-01-01

Full Text Available The consumer price index is a key indicator of the inflation level in Russia. It is important for the Central Bank and Government in decision-making process. There is a strong need for high-quality analysis and accurate forecast of this index. Modelling and forecasting of consumer price index as a key indicator of inflation are relevant issues in current macroeconomic conditions. The article is dedicated to development of quality short-term forecast of consumer inflation level, with the impact of seasonal factor. Two classes of models (vector autoregression and time series models are considered. It was shown that vector autoregression model of the dependency between consumer price index and nominal effective exchange rate is worse for the proposes of inflation forecast then non-linear model with structural components and conventional heteroscedasticity. The practical significance of this work is that the developed approach to the forecasting of the consumer price index adjusted of seasonal factor can be very helpful for the purpose of proper assessment and regulation of inflation.

The fractal feature and price trend in the gold future market at the Shanghai Futures Exchange (SFE)

Science.gov (United States)

Wu, Binghui; Duan, Tingting

2017-05-01

The price of gold future is affected by many factors, which include the fluctuation of gold price and the change of trading environment. Fractal analysis can help investors gain better understandings of the price fluctuation and make reasonable investment decisions in the gold future market. After analyzing gold future price from January 2th, 2014 to April 12th, 2016 at the Shanghai Futures Exchange (SFE) in China, the conclusion is drawn that the gold future market has sustainability in each trading day, with all Hurst indexes greater than 0.5. The changing features of Hurst index indicate the sustainability of gold future market is strengthened first and weakened then. As a complicatedly nonlinear system, the gold future market can be well reflected by Elman neural network, which is capable of memorizing previous prices and particularly suited for forecasting time series in comparison with other types of neural networks. After analyzing the price trend in the gold future market, the results show that the relative error between the actual value of gold future and the predictive value of Elman neural network is smaller. This model that has a better performance in data fitting and predication, can help investors analyze and foresee the price tendency in the gold future market.

Index of Real Sector Returns as Price Benchmarking for Islamic Banking Products

Directory of Open Access Journals (Sweden)

Researchers of Islamic Banking Department

2012-01-01

Full Text Available Objective – Islamic Banking is closely related to the real sector. Then, its operation should reflect the real sector which is expected to contribute to the sustainable economic growth. Nevertheless, Islamic banks are still benchmarking the price of their products (profit sharing and sales on interest rate. This is as an implication of the implementation of the dual banking system. Moreover, the small portion of Islamic banking compared to the total national banks causes the competitiveness of Islamic banking product in terms of pricing has a high correlation with the interest rate of conventional counterpart. This phenomenon indicates the need to find.Method – This research employed library research method since this paper relies on secondary data by thoroughly reviewing the most relevant literature. The paper attempt to propose a pricing indicator which is based on the real sector activities as the root of Islamic banking operations.Result – Theoretically, this indicator can reflect the real rate of return of every industry sector. In addition, it can help Bank Indonesia to monitor the real sector performance and analyze the possible gap between real sector activities and financial sector. Furthermore, when the benchmark of real rate of real sector return is available, the return index of Islamic banking reflecting the profit sharing performance of the whole Islamic banking industry can be formulated. This concept is different with other indexes which are corresponding to the price of financial assets.Conclusion – In general, return index of real sector as a reference for Islamic banking product pricing is expected to define the way of non-interest return analysis, to calculate the non-interest return of selected sectors that becomes the focus of analysis using Cash Recovery Rates (CRR, forming an index of industry by sector in the second stage, by doing a certain weighting of those companies, to analyze the relationship between macro

5 CFR 591.219 - How does OPM compute shelter price indexes?

Science.gov (United States)

2010-01-01

... REGULATIONS ALLOWANCES AND DIFFERENTIALS Cost-of-Living Allowance and Post Differential-Nonforeign Areas Cost-Of-Living Allowances § 591.219 How does OPM compute shelter price indexes? (a) In addition to rental...

Oil price fluctuations and the Nigerian economy

International Nuclear Information System (INIS)

Ayadi, O.F.

2005-01-01

The single most important issue confronting a growing number of world economies today is the price of oil and its attendant consequences on economic output. Several studies have taken the approach of Hamilton (1983) in investigating the effect of oil price shocks on levels of gross domestic product. The focus of this paper is primarily on the relationship between oil price changes and economic development via industrial production. A vector auto regression model is employed on some macroeconomic variables from 1980 through 2004. The results indicate that oil price changes affect real exchange rates, which, in turn, affect industrial production. However, this indirect effect of oil prices on industrial production is not statistically significant. Therefore, the implication of the results presented in this paper is that an increase in oil prices does not lead to an increase in industrial production in Nigeria. (author)

The relationship between global oil price shocks and China's output: A time-varying analysis

International Nuclear Information System (INIS)

Cross, Jamie; Nguyen, Bao H.

2017-01-01

We employ a class of time-varying Bayesian vector autoregressive (VAR) models on new standard dataset of China's GDP constructed by to examine the relationship between China's economic growth and global oil market fluctuations between 1992Q1 and 2015Q3. We find that: (1) the time varying parameter VAR with stochastic volatility provides a better fit as compared to it's constant counterparts; (2) the impacts of intertemporal global oil price shocks on China's output are often small and temporary in nature; (3) oil supply and specific oil demand shocks generally produce negative movements in China's GDP growth whilst oil demand shocks tend to have positive effects; (4) domestic output shocks have no significant impact on price or quantity movements within the global oil market. The results are generally robust to three commonly employed indicators of global economic activity: Kilian's global real economic activity index, the metal price index and the global industrial production index, and two alternative oil price metrics: the US refiners' acquisition cost for imported crude oil and the West Texas Intermediate price of crude oil. - Highlights: • A class of time-varying BVARs is used to examine the relationship between China's economic growth and global oil market fluctuations. • The impacts of intertemporal global oil price shocks on China's output are often small and temporary in nature. • Oil supply and specific oil demand shocks generally produce negative movements in China's GDP growth while oil demand shocks tend to have positive effects. • Domestic output shocks have no significant impact on price or quantity movements within the global oil market.

The development of a value based pricing index for new drugs in metastatic colorectal cancer

OpenAIRE

Lubbe, Martha Susanna; Dranitsaris, George; Truter, Ilse

2011-01-01

Background Worldwide, prices for cancer drugs have been under downward pressure where several governments have mandated price cuts of branded products. A better alternative to government mandated price cuts would be to estimate a final price based on drug performance, cost effectiveness and a country’s ability to pay. We developed a global pricing index for new cancer drugs in patients with metastatic colorectal cancer (mCRC) that encompasses all of these attributes. Methods ...

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.

Optimal operation strategies of compressed air energy storage (CAES) on electricity spot markets with fluctuating prices

DEFF Research Database (Denmark)

Lund, Henrik; Salgi, Georges; Elmegaard, Brian

2009-01-01

on electricity spot markets by storing energy when electricity prices are low and producing electricity when prices are high. In order to make a profit on such markets, CAES plant operators have to identify proper strategies to decide when to sell and when to buy electricity. This paper describes three...... plants will not be able to achieve such optimal operation, since the fluctuations of spot market prices in the coming hours and days are not known. Consequently, two simple practical strategies have been identified and compared to the results of the optimal strategy. This comparison shows that...... independent computer-based methodologies which may be used for identifying the optimal operation strategy for a given CAES plant, on a given spot market and in a given year. The optimal strategy is identified as the one which provides the best business-economic net earnings for the plant. In practice, CAES...

5 CFR 591.218 - How does OPM compute price indexes?

Science.gov (United States)

2010-01-01

... 5 Administrative Personnel 1 2010-01-01 2010-01-01 false How does OPM compute price indexes? 591.218 Section 591.218 Administrative Personnel OFFICE OF PERSONNEL MANAGEMENT CIVIL SERVICE REGULATIONS ALLOWANCES AND DIFFERENTIALS Cost-of-Living Allowance and Post Differential-Nonforeign Areas Cost-Of-Living...

Evolution in fluctuating environments: decomposing selection into additive components of the Robertson-Price equation.

Science.gov (United States)

Engen, Steinar; Saether, Bernt-Erik

2014-03-01

We analyze the stochastic components of the Robertson-Price equation for the evolution of quantitative characters that enables decomposition of the selection differential into components due to demographic and environmental stochasticity. We show how these two types of stochasticity affect the evolution of multivariate quantitative characters by defining demographic and environmental variances as components of individual fitness. The exact covariance formula for selection is decomposed into three components, the deterministic mean value, as well as stochastic demographic and environmental components. We show that demographic and environmental stochasticity generate random genetic drift and fluctuating selection, respectively. This provides a common theoretical framework for linking ecological and evolutionary processes. Demographic stochasticity can cause random variation in selection differentials independent of fluctuating selection caused by environmental variation. We use this model of selection to illustrate that the effect on the expected selection differential of random variation in individual fitness is dependent on population size, and that the strength of fluctuating selection is affected by how environmental variation affects the covariance in Malthusian fitness between individuals with different phenotypes. Thus, our approach enables us to partition out the effects of fluctuating selection from the effects of selection due to random variation in individual fitness caused by demographic stochasticity. © 2013 The Author(s). Evolution © 2013 The Society for the Study of Evolution.

Higher prices at Canadian gas pumps: international crude oil prices or local market concentration? An empirical investigation

International Nuclear Information System (INIS)

Anindya Sen

2003-01-01

There is little consensus on whether higher retail gasoline prices in Canada are the result of international crude oil price fluctuations or local market power exercised by large vertically-integrated firms. I find that although both increasing local market concentration and higher average monthly wholesale prices are positively and significantly associated with higher retail prices, wholesale prices are more important than local market concentration. Similarly, crude oil prices are more important than the number of local wholesalers in determining wholesale prices. These results suggest that movements in gasoline prices are largely the result of input price fluctuations rather than local market structure. (author)

The Role of Media Coverage in Explaining Stock Market Fluctuations: Insights for Strategic Financial Communication

NARCIS (Netherlands)

Strycharz, J.; Strauss, N.; Trilling, D.

2018-01-01

This study investigates the reciprocal relationships between the fluctuation of the closing prices of three companies listed on the Amsterdam exchange index, namely ING, Philips and Shell and online media coverage related to these firms for a period of two years (2014–2015). Automated content

Option pricing under stochastic volatility: the exponential Ornstein–Uhlenbeck model

International Nuclear Information System (INIS)

Perelló, Josep; Masoliver, Jaume; Sircar, Ronnie

2008-01-01

We study the pricing problem for a European call option when the volatility of the underlying asset is random and follows the exponential Ornstein–Uhlenbeck model. The random diffusion model proposed is a two-dimensional market process that takes a log-Brownian motion to describe price dynamics and an Ornstein–Uhlenbeck subordinated process describing the randomness of the log-volatility. We derive an approximate option price that is valid when (i) the fluctuations of the volatility are larger than its normal level, (ii) the volatility presents a slow driving force, toward its normal level and, finally, (iii) the market price of risk is a linear function of the log-volatility. We study the resulting European call price and its implied volatility for a range of parameters consistent with daily Dow Jones index data

Price control in contracts of heat supply. May no more index be used in automatic price escalator clauses?; Preiskontrolle in Waermeliefervertraegen.. Darf in automatischen Preisgleitklauseln kein Index mehr genutzt werden?

Energy Technology Data Exchange (ETDEWEB)

Legler, Dirk [Guenther Heidel Wollenteit Hack Goldmann, Hamburg (Germany)

2010-03-15

Automatic price escalator clauses using a price index are AGB legally permissible in heat supply contracts. The fact that such price indices necessarily compound and orient themselves only at its own development of delivery costs is so long innocuous since the selection of these indices essentially can be justified on the basis of objective criteria. However, if the heat supplier as a user of the AGB uses no indices, but passes its costs of acquisition in its price escalator clause simply to 100 %, this evenly can be inadmissible according to paragraph 24 sect. 3, sentence 1 of AVB district heating regulation. This is valid if such a 'servile' passing signifies a neglect of conditions on the market.

5 CFR 591.224 - How does OPM adjust price indexes between surveys?

Science.gov (United States)

2010-01-01

... REGULATIONS ALLOWANCES AND DIFFERENTIALS Cost-of-Living Allowance and Post Differential-Nonforeign Areas Cost-Of-Living Allowances § 591.224 How does OPM adjust price indexes between surveys? (a) OPM adjusts...

Forecasting energy market indices with recurrent neural networks: Case study of crude oil price fluctuations

International Nuclear Information System (INIS)

Wang, Jie; Wang, Jun

2016-01-01

In an attempt to improve the forecasting accuracy of crude oil price fluctuations, a new neural network architecture is established in this work which combines Multilayer perception and ERNN (Elman recurrent neural networks) with stochastic time effective function. ERNN is a time-varying predictive control system and is developed with the ability to keep memory of recent events in order to predict future output. The stochastic time effective function represents that the recent information has a stronger effect for the investors than the old information. With the established model the empirical research has a good performance in testing the predictive effects on four different time series indices. Compared to other models, the present model is possible to evaluate data from 1990s to today with extreme accuracy and speedy. The applied CID (complexity invariant distance) analysis and multiscale CID analysis, are provided as the new useful measures to evaluate a better predicting ability of the proposed model than other traditional models. - Highlights: • A new forecasting model is developed by a random Elman recurrent neural network. • The forecasting accuracy of crude oil price fluctuations is improved by the model. • The forecasting results of the proposed model are more accurate than compared models. • Two new distance analysis methods are applied to confirm the predicting results.

Pricing Equity-Indexed Annuities under Stochastic Interest Rates Using Copulas

Directory of Open Access Journals (Sweden)

Patrice Gaillardetz

2010-01-01

Full Text Available We develop a consistent evaluation approach for equity-linked insurance products under stochastic interest rates. This pricing approach requires that the premium information of standard insurance products is given exogenously. In order to evaluate equity-linked products, we derive three martingale probability measures that reproduce the information from standard insurance products, interest rates, and equity index. These risk adjusted martingale probability measures are determined using copula theory and evolve with the stochastic interest rate process. A detailed numerical analysis is performed for existing equity-indexed annuities in the North American market.

Macro economy, stock market and oil prices. Do meaningful relationships exist among their cyclical fluctuations?

International Nuclear Information System (INIS)

Filis, George

2010-01-01

This paper examines the relationship among consumer price index, industrial production, stock market and oil prices in Greece. Initially we use a unified statistical framework (cointegration and VECM) to study the data in levels. We then employ a multivariate VAR model to examine the relationship among the cyclical components of our series. The period of the study is from 1996:1 to 2008:6. Findings suggest that oil prices and the stock market exercise a positive effect on the Greek CPI, in the long run. Cyclical components analysis suggests that oil prices exercise significant negative influence to the stock market. In addition, oil prices are negatively influencing CPI, at a significant level. However, we find no effect of oil prices on industrial production and CPI. Finally, no relationship can be documented between the industrial production and stock market for the Greek market. The findings of this study are of particular interest and importance to policy makers, financial managers, financial analysts and investors dealing with the Greek economy and the Greek stock market. (author)

The Australian Dollar's Long-Term Fluctuations and Trend: The Commodity Prices-cum-Economic Cycles Hypothesis

OpenAIRE

Sanidas, Elias

2005-01-01

The Australian dollar’s exchange rate (mainly in relation to the American dollar) has received a considerable attention in research and several models have been proposed to explain its trend and fluctuations. Thus, as a conclusion of this research we can say that this commodity currency very much depends on the terms of trade which in turn depend on commodity prices. The present paper is based on this conclusion and hence proposes the possibility that the Australian dollar’s behavior is overw...

Assessing the effect of oil price on world food prices: Application of principal component analysis

International Nuclear Information System (INIS)

Esmaeili, Abdoulkarim; Shokoohi, Zainab

2011-01-01

The objective of this paper is to investigate the co-movement of food prices and the macroeconomic index, especially the oil price, by principal component analysis to further understand the influence of the macroeconomic index on food prices. We examined the food prices of seven major products: eggs, meat, milk, oilseeds, rice, sugar and wheat. The macroeconomic variables studied were crude oil prices, consumer price indexes, food production indexes and GDP around the world between 1961 and 2005. We use the Scree test and the proportion of variance method for determining the optimal number of common factors. The correlation coefficient between the extracted principal component and the macroeconomic index varies between 0.87 for the world GDP and 0.36 for the consumer price index. We find the food production index has the greatest influence on the macroeconomic index and that the oil price index has an influence on the food production index. Consequently, crude oil prices have an indirect effect on food prices. - Research Highlights: →We investigate the co-movement of food prices and the macroeconomic index. →The crude oil price has indirect effect on the world GDP via its impacts on food production index. →The food production index is the source of causation for CPI and GDP is affected by CPI. →The results confirm an indirect effect among oil price, food price principal component.

75 FR 750 - Consumer Price Index Adjustments of Oil Pollution Act of 1990 Limits of Liability-Vessels and...

Science.gov (United States)

2010-01-06

... historical record of annual changes in the CPI-U (the Consumer Price Index--All Urban Consumers, Not...-AB25 Consumer Price Index Adjustments of Oil Pollution Act of 1990 Limits of Liability--Vessels and... final rule, without change, an interim rule published on July 1, 2009. The interim rule increased the...

The association between attempted suicide and stock price movements: Evidence from Taiwan.

Science.gov (United States)

Lin, Chung-Liang; Liu, Tsai-Ching; Chen, Chin-Shyan

2017-08-01

This study is the first comprehensive analysis to investigate the potential association between stock market fluctuations and attempted suicide events as measured by self-inflicted injuries treated in hospitalization. Using nationwide, 15-year population-based data from 1998 through 2012, we observe that the occurrences for the hospitalizations of attempted suicides are apparently predicted by stock price movements. A low stock price index, a daily fall in the stock index, and consecutive daily falls in the stock index have been shown to be associated with increased risk of hospitalization in patients with attempted suicide. More specifically, stock price index is found to be significant impact on attempted suicide in the 45-54 age groups of both genders, whilst daily change is significant for both genders in the 25-34 and 55-64 age groups and accumulated change is only significant in female aged 25-44 and above 65. On the basis of the results, relevant organizations should consider the suicidal factors that relate prime-working-age and near-retirement-age people to better carry out specific suicide prevention measures, and, meanwhile, encourage those people to pay less attention towards daily stock price movements. Copyright © 2017 Elsevier Ireland Ltd. All rights reserved.

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.

Multiple Linear Regression Analysis of Factors Affecting Real Property Price Index From Case Study Research In Istanbul/Turkey

Science.gov (United States)

Denli, H. H.; Koc, Z.

2015-12-01

Estimation of real properties depending on standards is difficult to apply in time and location. Regression analysis construct mathematical models which describe or explain relationships that may exist between variables. The problem of identifying price differences of properties to obtain a price index can be converted into a regression problem, and standard techniques of regression analysis can be used to estimate the index. Considering regression analysis for real estate valuation, which are presented in real marketing process with its current characteristics and quantifiers, the method will help us to find the effective factors or variables in the formation of the value. In this study, prices of housing for sale in Zeytinburnu, a district in Istanbul, are associated with its characteristics to find a price index, based on information received from a real estate web page. The associated variables used for the analysis are age, size in m2, number of floors having the house, floor number of the estate and number of rooms. The price of the estate represents the dependent variable, whereas the rest are independent variables. Prices from 60 real estates have been used for the analysis. Same price valued locations have been found and plotted on the map and equivalence curves have been drawn identifying the same valued zones as lines.

Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies.

Science.gov (United States)

Kim, Young Bin; Kim, Jun Gi; Kim, Wook; Im, Jae Ho; Kim, Tae Hyeong; Kang, Shin Jin; Kim, Chang Hun

2016-01-01

This paper proposes a method to predict fluctuations in the prices of cryptocurrencies, which are increasingly used for online transactions worldwide. Little research has been conducted on predicting fluctuations in the price and number of transactions of a variety of cryptocurrencies. Moreover, the few methods proposed to predict fluctuation in currency prices are inefficient because they fail to take into account the differences in attributes between real currencies and cryptocurrencies. This paper analyzes user comments in online cryptocurrency communities to predict fluctuations in the prices of cryptocurrencies and the number of transactions. By focusing on three cryptocurrencies, each with a large market size and user base, this paper attempts to predict such fluctuations by using a simple and efficient method.

The Impact of Oil Price Volatility on Statoil

OpenAIRE

Johannessen, Frida; Skjelvik, Karina

2017-01-01

Master's thesis in Finance PROBLEM STATEMENT How do oil price movements impact Statoil ASA? RESEARCH QUESTIONS Do oil price fluctuations have an explainable effect on Statoil’s capital expenditures and operating expenditures? Do oil price fluctuations have an explainable effect on Statoil’s share price? ANALYSIS To analyse the impact of oil price shocks, Ordinary Least Squares regression has been employed for two separate time periods. First, the period from Q4...

EFFECT OF GOLD PRICE VOLATILITY ON STOCK RETURNS:EXAMPLE OF TURKEY

Directory of Open Access Journals (Sweden)

Filiz YILDIZ CONTUK

2013-01-01

Full Text Available This study analyzes the effect of fluctuations in gold prices on ISE 100 indexusing daily prices and the index data from 01.01.2009 to 31.12.2012. The rawdata has been converted into earningsyields and analyzed. The study firstdetermines whether or not the use of aGARCH model would beappropriate usinga heteroskedasticity test. The test resultsshow that there was an ARCH effect inboth variables, and that GARCH modeling could be used. The results obtainedfrom MGARCH modeling show that gold and stock exchange yields have beenaffected both by their own shocks and by shocks of each other

Assessing market uncertainty by means of a time-varying intermittency parameter for asset price fluctuations

Science.gov (United States)

Rypdal, Martin; Sirnes, Espen; Løvsletten, Ola; Rypdal, Kristoffer

2013-08-01

Maximum likelihood estimation techniques for multifractal processes are applied to high-frequency data in order to quantify intermittency in the fluctuations of asset prices. From time records as short as one month these methods permit extraction of a meaningful intermittency parameter λ characterising the degree of volatility clustering. We can therefore study the time evolution of volatility clustering and test the statistical significance of this variability. By analysing data from the Oslo Stock Exchange, and comparing the results with the investment grade spread, we find that the estimates of λ are lower at times of high market uncertainty.

Pricing real estate index options under stochastic interest rates

Science.gov (United States)

Gong, Pu; Dai, Jun

2017-08-01

Real estate derivatives as new financial instruments are not merely risk management tools but also provide a novel way to gain exposure to real estate assets without buying or selling the physical assets. Although real estate derivatives market has exhibited a rapid development in recent years, the valuation challenge of real estate derivatives remains a great obstacle for further development in this market. In this paper, we derive a partial differential equation contingent on a real estate index in a stochastic interest rate environment and propose a modified finite difference method that adopts the non-uniform grids to solve this problem. Numerical results confirm the efficiency of the method and indicate that constant interest rate models lead to the mispricing of options and the effects of stochastic interest rates on option prices depend on whether the term structure of interest rates is rising or falling. Finally, we have investigated and compared the different effects of stochastic interest rates on European and American option prices.

Jakarta Islamic Index-L 45: Rate Financial Performance, Beta Stocks and Stock Price in Indonesian Stock Exchange

Directory of Open Access Journals (Sweden)

Tajus Subqi

2016-08-01

Full Text Available This research had analyzed the effect of financial performance and stock beta (systematic risk towards stock price of eight listed companies in Jakarta Islamic Index (JII – LQ 45 for the time period of 2012-2014. The data was gathered by employing literature study and documentation of financial statements. Multiple regressions are used to measure the effect of independent variable towards dependent variable along with ttest and F test. The results based on overall test suggested that only ROE and NPM had opposite direction correlation with the stock price, meanwhile other variables had positive direction correlation. From partial test with 5% level of significance, only EPS and PER had significant effect on stock price while other variables had no effect.   Keywords: financial performance analysis, stock price, stock beta (systematic risk, Jakarta Islamic Index

Oil price fluctuations and Singapore economy

International Nuclear Information System (INIS)

Youngho Chang; Joonfong Wong

2003-01-01

This study finds that the impact of an oil price shock on the Singapore economy is marginal. Both impulse response and variance decomposition analysis provide reasonable grounds to believe that the impact only had an insignificant adverse effect on Singapore's gross domestic product (GDP), inflation and unemployment rates. Further analysis on two oil vulnerability measures supports the finding: the declining trend of oil intensity in Singapore since 1989 and the declining shares of the Singapore's expenditure on oil consumption as a percentage of its nominal GDP. This study identifies, however, that the impact of an oil price shock on the Singapore economy should not be considered negligible even though it is small. (Author)

Oil price fluctuations and Singapore economy

International Nuclear Information System (INIS)

Chang Youngho; Wong, Joon Fong

2003-01-01

This study finds that the impact of an oil price shock on the Singapore economy is marginal. Both impulse response and variance decomposition analysis provide reasonable grounds to believe that the impact only had an insignificant adverse effect on Singapore's gross domestic product (GDP), inflation and unemployment rates. Further analysis on two oil vulnerability measures supports the finding: the declining trend of oil intensity in Singapore since 1989 and the declining shares of the Singapore's expenditure on oil consumption as a percentage of its nominal GDP. This study identifies, however, that the impact of an oil price shock on the Singapore economy should not be considered negligible even though it is small

How can big data enhance the timeliness of official statistics? The case of the US consumer price index

NARCIS (Netherlands)

Harchaoui, Tarek M.; Janssen, Robert V.

2018-01-01

The daily consumer price index (CPI) produced by the Billion Prices Project (BPP CPI) offers a glimpse of the direction taken by consumer price inflation in real time. This is in contrast to the official U.S. CPI, which is compiled monthly and released with an average of a three-week delay following

Biodiesel as a motor fuel price stabilization mechanism

International Nuclear Information System (INIS)

Serra, Teresa; Gil, José M.

2012-01-01

This article studies the capacity of biofuels to reduce motor fuel price fluctuations. For this purpose, we study dependence between crude oil and biodiesel blend prices in Spain. Copula models are used for this purpose. Results suggest that the practice of blending biodiesel with diesel can protect consumers against extreme crude oil price increases. - Highlights: ► We study the capacity of biofuels to reduce fuel price fluctuations. ► We focus on Spanish biodiesel market. ► Biodiesel and crude oil price dependence is studied using copula functions. ► Biodiesel can protect consumers against extreme crude oil price increases.

Impact of regulated price adjustments on price variability in a very low inflation transition economy: Case of Armenia

Directory of Open Access Journals (Sweden)

Aghassi Mkrtchyan

2005-06-01

Full Text Available This paper examines the impact of monetary policy and administrative price adjustments on price variability in a low inflation economy characterized by relatively frequent administrative price adjustments. Fluctuations of market determined prices, prices of agricultural goods in particular, are linked to poor synchronization between administrative price changes and monetary policy. If monetary policy does not account for expected changes in administrative prices, demand for free goods shifts, causing fluctuation of prices for agricultural goods, because the supply of these goods is highly inelastic in Armenia. The findings contribute to a better understanding of agricultural price variability during 1998-2002. The impact of macroeconomic policy and structural adjustments on income distribution and rural poverty incidence are also examined. This research has immediate policy implications, since Armenia will continue to undergo major upward price adjustments of regulated prices, which may have a negative impact on income distribution unless aggregate demand management is changed.

Bond index: relation to second-order density matrix and charge fluctuations

International Nuclear Information System (INIS)

Giambiagi, M.S. de; Giambiagi, M.; Jorge, F.E.

1985-01-01

It is shown that, in the same way as the atomic charge is an invariant built from the first-order density matrix, the closed-shell generalized bond index is an invariant associated with the second-order reduced density matrix. The active charge of an atom (sum of bond indices) is shown to be the sum of all density correlation functions between it and the other atoms in the molecule; similarly, the self-charge is the fluctuation of its total charge. (Author) [pt

Quantitative analysis on the fluctuation of vegetable price in supermarket

Directory of Open Access Journals (Sweden)

Miranda Suci

2018-01-01

Full Text Available In this paper we analyze the variables affecting the determination of vegetable sale price in supermarket and investigate each amount considered into the formulation. We use the supermarket pricing strategies literatures, cost management theory, and any information obtained from suppliers and supermarket to investigate the variables influenced the sale price gap between supplier sale price and supermarket sale price. In order to obtain the supermarket sale price, it is required to understand the concept of costs. Supermarket as a merchandising firm has two components of costs called purchase costs and operating expenses which are computed to be Cost of Goods Sold (COGS. We found that supplier sale price is the purchase costs and plays has the main role in determining the supermarket sale price. The operating expenses considered is the holding cost. The vegetable characteristics and consumer behaviour have driven the contribution of amount of variables into the sale price at supermarket. Finally, we present the variables satisfying the vegetable sale price formulation and how they are calculated becoming the supermarket sale price.

Pricing index-based catastrophe bonds: Part 2: Object-oriented design issues and sensitivity analysis

Science.gov (United States)

Unger, André J. A.

2010-02-01

This work is the second installment in a two-part series, and focuses on object-oriented programming methods to implement an augmented-state variable approach to aggregate the PCS index and introduce the Bermudan-style call feature into the proposed CAT bond model. The PCS index is aggregated quarterly using a discrete Asian running-sum formulation. The resulting aggregate PCS index augmented-state variable is used to specify the payoff (principle) on the CAT bond based on reinsurance layers. The purpose of the Bermudan-style call option is to allow the reinsurer to minimize their interest rate risk exposure on making fixed coupon payments under prevailing interest rates. A sensitivity analysis is performed to determine the impact of uncertainty in the frequency and magnitude of hurricanes on the price of the CAT bond. Results indicate that while the CAT bond is highly sensitive to the natural variability in the frequency of landfalling hurricanes between El Ninõ and non-El Ninõ years, it remains relatively insensitive to uncertainty in the magnitude of damages. In addition, results indicate that the maximum price of the CAT bond is insensitive to whether it is engineered to cover low frequency high magnitude events in a 'high' reinsurance layer relative to high frequency low magnitude events in a 'low' reinsurance layer. Also, while it is possible for the reinsurer to minimize their interest rate risk exposure on the fixed coupon payments, the impact of this risk on the price of the CAT bond appears small relative to the natural variability in the CAT bond price, and consequently catastrophic risk, due to uncertainty in the frequency and magnitude of landfalling hurricanes.

Understanding gasoline pricing in Canada

International Nuclear Information System (INIS)

2001-04-01

This brochure is designed to help consumers understand how gasoline is priced and explained why prices increase, fluctuate and vary by location, city or region. The price of a litre of gasoline reflects the costs of crude oil, refining, retailing and taxes. Taxes are usually the largest single component of gasoline prices, averaging 40 to 50 per cent of the pump price. The cost of crude oil makes up another 35 to 45 per cent of the price. Refining costs make up 10 to 15 per cent while the remaining 5 to 10 per cent represents retail costs. Gasoline retailers make a profit of about 1 cent per litre. The latest network technology allows national and regional retail chains to constantly monitor price fluctuations to change their prices at gasoline stations at a moments notice to keep up with the competition and to protect their market shares. Several government studies, plus the Conference Board of Canada, have reported that competition is working in favour of Canadian motorists. This brochure also explained the drawbacks of regulating crude and pump prices with the reminder that crude prices were regulated in the 1970s with many negative consequences. 2 tabs., 1 fig

Periodically Collapsing Bubbles in Stock Prices Cointegrated with Broad Dividends and Macroeconomic Factors

Directory of Open Access Journals (Sweden)

Man Fu

2011-12-01

Full Text Available We study fluctuations in stock prices using a framework derived from the present value model augmented with a macroeconomic factor. The fundamental value is derived as the expected present discounted value of broad dividends that include, in addition to traditional cash dividends, other payouts to shareholders. A stochastic discount factor motivated by the consumption-based asset pricing model is utilized. A single macroeconomic factor, namely the output gap determines the non-fundamental component of stock prices. A resulting trivariate Vector Autoregression (TVAR model of stock prices, broad dividends, and the output gap shows evidence of cointegration in the DJIA and S&P 500 index data. Nonetheless, a sup augmented Dickey-Fuller test reveals existence of periodically collapsing bubbles in S&P 500 data during the late 1990s.

Pricing Options and Equity-Indexed Annuities in a Regime-switching Model by Trinomial Tree Method

Directory of Open Access Journals (Sweden)

Fei Lung Yuen

2011-12-01

Full Text Available In this paper we summarize the main idea and results of Yuen and Yang (2009, 2010a, 2010b and provide some results on pricing of Parisian options under the Markov regime-switching model (MRSM. The MRSM allows the parameters of the market model depending on a Markovian process, and the model can reflect the information of the market environment which cannot be modeled solely by linear Gaussian process. However, when the parameters of the stock price model are not constant but governed by a Markovian process, the pricing of the options becomes complex. We present a fast and simple trinomial tree model to price options in MRSM. In recent years, the pricing of modern insurance products, such as Equity-Indexed annuity (EIA and variable annuities (VAs, has become a popular topic. We show here that our trinomial tree model can been used to price EIA with strong path dependent exotic options in the regime switching model.

Determining the best forecasting method to estimate unitary charges price indexes of PFI data in central region Peninsular Malaysia

Science.gov (United States)

Ahmad Kamaruddin, Saadi Bin; Md Ghani, Nor Azura; Mohamed Ramli, Norazan

2013-04-01

The concept of Private Financial Initiative (PFI) has been implemented by many developed countries as an innovative way for the governments to improve future public service delivery and infrastructure procurement. However, the idea is just about to germinate in Malaysia and its success is still vague. The major phase that needs to be given main attention in this agenda is value for money whereby optimum efficiency and effectiveness of each expense is attained. Therefore, at the early stage of this study, estimating unitary charges or materials price indexes in each region in Malaysia was the key objective. This particular study aims to discover the best forecasting method to estimate unitary charges price indexes in construction industry by different regions in the central region of Peninsular Malaysia (Selangor, Federal Territory of Kuala Lumpur, Negeri Sembilan, and Melaka). The unitary charges indexes data used were from year 2002 to 2011 monthly data of different states in the central region Peninsular Malaysia, comprising price indexes of aggregate, sand, steel reinforcement, ready mix concrete, bricks and partition, roof material, floor and wall finishes, ceiling, plumbing materials, sanitary fittings, paint, glass, steel and metal sections, timber and plywood. At the end of the study, it was found that Backpropagation Neural Network with linear transfer function produced the most accurate and reliable results for estimating unitary charges price indexes in every states in central region Peninsular Malaysia based on the Root Mean Squared Errors, where the values for both estimation and evaluation sets were approximately zero and highly significant at p Malaysia. The estimated price indexes of construction materials will contribute significantly to the value for money of PFI as well as towards Malaysian economical growth.

Global oil prices, macroeconomic fundamentals and China's commodity sector comovements

International Nuclear Information System (INIS)

Chen, Peng

2015-01-01

This paper investigates the common movements of commodity sectors in China as well as the economic underpinnings of the comovements. We employ a Bayesian dynamic latent factor model to disentangle the common and idiosyncratic sector-specific factors of the prices of a group of China's commodity sectors: petrochemicals, grains, energy, non-ferrous metals, oils & fats, and softs. The results indicate that the common factor accounts for a significant portion of the fluctuations of China's commodity sectors, providing evidence of the strong commodity sector comovements in China. We further use a VAR model to link the common movements across China's commodity sectors to the underlying determinants, including global oil price shocks and domestic macroeconomic fluctuations. We find that the global oil price shocks have strong effects on the common movements across commodity sectors in China in addition to its domestic macroeconomic fluctuations at long horizons. However, at short horizons, the common movements across commodity sectors in China respond more strongly to the global oil shocks than to its domestic macroeconomic fluctuations. - Highlights: • We examine the comovements of commodity prices at the industry level in China. • The common factor accounts for a significant portion of commodity sector fluctuations. • We investigate the joint impacts of global oil price shocks and domestic macro fluctuations on the comovements. • The global oil price shocks have persistent and strong effects on the comovements. • The impacts of domestic macro fluctuations on the comovements differ at short and long horizons.

Oil price fluctuations and U.S. dollar exchange rates

International Nuclear Information System (INIS)

Lizardo, Radhames A.; Mollick, Andre V.

2010-01-01

Adding oil prices to the monetary model of exchange rates, we find that oil prices significantly explain movements in the value of the U.S. dollar (USD) against major currencies from the 1970s to 2008. Our long-run and forecasting results are remarkably consistent with an oil-exchange rate relationship. Increases in real oil prices lead to a significant depreciation of the USD against net oil exporter currencies, such as Canada, Mexico, and Russia. On the other hand, the currencies of oil importers, such as Japan, depreciate relative to the USD when the real oil price goes up. (author)

Environmental Factors Influencing Fluctuation of Share Prices on ...

African Journals Online (AJOL)

Nekky Umera

investment decisions when they are aware of the stock market structure, ... is important to examine role played by prices of stocks in encouraging ... implication of this is that stock prices of similar market or industry will tend ... of fiscal policies can help reduce unnecessary volatility in real exchange ..... Expected Dividend.

The Effect of Food Prices on Inflation in the Republic of Serbia

Directory of Open Access Journals (Sweden)

Radukić Snežana

2015-05-01

Full Text Available In the Republic of Serbia, food accounts for a significant share in the consumer price index through which the inflation is statistically expressed. Therefore, in considerations of the basic factors of increase in the general price level, a special emphasis is placed on the specific features of the market of agricultural-food products. The aim of this research is to peruse the effect of the characteristics of the food market in Serbia on the inflation rate. High volatility of food prices is present because of the instability of this market, mainly due to seasonal fluctuations of supply and the effect of natural factors. Bearing in mind that the increase in food prices is the main determinant of the increase in the inflation rate, the indirect state control is very important so as to maintain price stability. Special importance is attached to the following instruments of economic policy: commodity reserves, storage policy, and fiscal and foreign trade policy.

Heterogeneous traders, price-volume signals, and complex asset price dynamics

Directory of Open Access Journals (Sweden)

Frank H. Westerhoff

2005-01-01

model reveal that interactions between fundamentalists and chartists may cause intricate endogenous price fluctuations. Contrary to the intuition, we find that chart trading may increase market stability.

Estimating the common trend rate of inflation for consumer prices and consumer prices excluding food and energy prices

OpenAIRE

Michael T. Kiley

2008-01-01

I examine the common trend in inflation for consumer prices and consumer prices excluding prices of food and energy. Both the personal consumption expenditure (PCE) indexes and the consumer price indexes (CPI) are examined. The statistical model employed is a bivariate integrated moving average process; this model extends a univariate model that fits the data on inflation very well. The bivariate model forecasts as well as the univariate models. The results suggest that the relationship betwe...

The Effect of Consumer Expectation Index, Economic Condition Index and Crude Oil Price on Indonesian Government Bond Yield

Directory of Open Access Journals (Sweden)

Benny Budiawan Tjandrasa

2017-06-01

Full Text Available Governments sell bonds to finance their budget. The investors willing to buy government bonds because of the yield they will get, but on the other hand if government bond yields is  too high it would burden the state in paying the interest due. Various studies have been done to find the variables that affect government bond yield significantly, such as exchange rate, inflation rate, interest rate, and oil price. This study found two more variables namely consumer expectations index and the economic conditions index to complement the variables that have been discovered. Those two variables are used as a proxy of economic stability of a country, the increase of those variables represent the increase of economic stability and will reduce the level of risk and lowering the yield that investors demand. This research use descriptive method and explanatory study with secondary data using multivariate regression equation model. The results shown consumer expectation index and economic condition index have significant effect on Indonesian Government Bond yield. To keep consumer expectation index and economic condition index increase government should give a positive signal and a sense of security to investor.

Henry Hub and national balancing point prices: what will be the international gas price reference?

International Nuclear Information System (INIS)

Mazighi, A.E.H.

2005-01-01

candidates to serve as a marker price in the international trade of gas. The objective of this paper is to examine some fundamental properties of the HH and NBP prices and assess which of them has the biggest potential to become an international price reference. Our main conclusions are: According to the relatively huge volume of gas traded on the US spot market, compared with the UK and according to the experience accumulated by the New York Mercantile Exchange (NYMEX) in gas trading, the HH price has a bigger potential than the NBP to become an international price reference, particularly because the UK market is supposed to import more and more gas indexed to oil in the coming years. However, on the price fluctuation side, the NBP spot price seems to fluctuate more normally than the HH price in the short term, which can give a certain advantage to NBP prices. We cannot exclude the fact that in the coming years we will have two or even more reference prices in the Atlantic Basin: the NBP, the HH and also reference prices at other regional hubs. (author)

The logic of the primary energy prices evolution

International Nuclear Information System (INIS)

Giraud, P.N.

1992-01-01

This paper deals, very briefly, with the basis factors determining the prices levels of the primary energies and the logic of their evolution both in the short and in the long term. It first gives definitions: of the limits of mineral commodities prices fluctuations and of the long term equilibrium prices. Then, it tries to demonstrate three points: (1) Coal and nuclear electricity prices are driven in the long term only by their own production and environmental costs. Moreover, coal prices fluctuations are surrounded by factors which are basically independent from oil prices. (2) There is no such thing as one single equilibrium price for oil, but several ones, depending on political factors, and among them, on the degree of consensus between the 'Five' of the Gulf (Saudi Arabia, Iran, Irak, Koweit, The Emirates). (3) Natural gas prices are in an intermediate situation, but tend to get closer to the case of coal and nuclear prices. 4 figs

Price, Weather, and `Acreage Abandonment' in Western Great Plains Wheat Culture.

Science.gov (United States)

Michaels, Patrick J.

1983-07-01

Multivariate analyses of acreage abandonment patterns in the U.S. Great Plains winter wheat region indicate that the major mode of variation is an in-phase oscillation confined to the western half of the overall area, which is also the area with lowest average yields. This is one of the more agroclimatically marginal environments in the United States, with wide interannual fluctuations in both climate and profitability.We developed a multiple regression model to determine the relative roles of weather and expected price in the decision not to harvest. The overall model explained 77% of the spatial and temporal variation in abandonment. The 36.5% of the non-spatial variation was explained by two simple transformations of climatic data from three monthly aggregates-September-October, November-February and March-April. Price factors, expressed as indexed future delivery quotations,were barely significant, with only between 3 and 5% of the non-spatial variation explained, depending upon the model.The model was based upon weather, climate and price data from 1932 through 1975. It was tested by sequentially withholding three-year blocks of data, and using the respecified regression coefficients, along with observed weather and price, to estimate abandonment in the withheld years. Error analyses indicate no loss of model fidelity in the test mode. Also, prediction errors in the 1970-75 period, characterized by widely fluctuating prices, were not different from those in the rest of the model.The overall results suggest that the perceived quality of the crop, as influenced by weather, is a much more important determinant of the abandonment decision than are expected returns based upon price considerations.

Entropy correlation distance method. The Euro introduction effect on the Consumer Price Index

Science.gov (United States)

Miśkiewicz, Janusz

2010-04-01

The idea of entropy was introduced in thermodynamics, but it can be used in time series analysis. There are various ways to define and measure the entropy of a system. Here the so called Theil index, which is often used in economy and finance, is applied as it were an entropy measure. In this study the time series are remapped through the Theil index. Then the linear correlation coefficient between the remapped time series is evaluated as a function of time and time window size and the corresponding statistical distance is defined. The results are compared with the the usual correlation distance measure for the time series themselves. As an example this entropy correlation distance method (ECDM) is applied to several series, as those of the Consumer Price Index (CPI) in order to test some so called globalisation processes. Distance matrices are calculated in order to construct two network structures which are next analysed. The role of two different time scales introduced by the Theil index and a correlation coefficient is also discussed. The evolution of the mean distance between the most developed countries is presented and the globalisation periods of the prices discussed. It is finally shown that the evolution of mean distance between the most developed countries on several networks follows the process of introducing the European currency - the Euro. It is contrasted to the GDP based analysis. It is stressed that the entropy correlation distance measure is more suitable in detecting significant changes, like a globalisation process than the usual statistical (correlation based) measure.

Papers of the 2. annual Canadian Institute conference on managing natural gas price volatility : effective risk strategies for turbulent times

International Nuclear Information System (INIS)

2002-01-01

The issue of how natural gas price volatility is affecting future energy projects was the focus of this conference. Discussions focused on the dynamics of supply and demand of natural gas in North America and how end-users are responding to price fluctuations. Methods by which storage can be used as an effective risk management tool was also on the agenda. The hedging strategies that work best for leading energy firms were described. It was noted that price volatility can be reduced through improved market transparency. Discussions also focused on credit risk in a volatile price environment. A total of 17 papers were presented of which 3 were indexed separately for inclusion in the database. tabs., figs

The measurement of house prices : A review of the sale price appraisal ratio method

NARCIS (Netherlands)

De Haan, J.; Van der Wal, E.B.; De Vries, P.

2009-01-01

The sale price appraisal ratio (SPAR) method has been applied in a number of countries to construct house price indexes. This paper reviews the statistical and index number properties of the SPAR approach. Three types of SPAR indexes are distinguished: a weighted index, which aims at tracking the

Analysis of Price Fluctuations in an Artificial Market

OpenAIRE

鈴木, 卓弥; 工藤, 清

2004-01-01

We proposed simple mathematical model of the artificial market which consists of the many agents. Our model gives to each agent characteristic period for that interval he can entry into the stock market. They take the strategy "following the trend", i.e., "if it rises, he buys, and if it goes down, he sells". They take, however, opposite strategy "against market trend", if price change exceeds threshold value. The price change of the market depends on the total tradings of stocks. In our mode...

Time-clustering behavior of sharp fluctuation sequences in Chinese stock markets

International Nuclear Information System (INIS)

Yuan Ying; Zhuang Xintian; Liu Zhiying; Huang Weiqiang

2012-01-01

Sharp fluctuations (in particular, extreme fluctuations) of asset prices have a great impact on financial markets and risk management. Therefore, investigating the time dynamics of sharp fluctuation is a challenge in the financial fields. Using two different representations of the sharp fluctuations (inter-event times and series of counts), the time clustering behavior in the sharp fluctuation sequences of stock markets in China is studied with several statistical tools, including coefficient of variation, Allan Factor, Fano Factor as well as R/S (rescaled range) analysis. All of the empirical results indicate that the time dynamics of the sharp fluctuation sequences can be considered as a fractal process with a high degree of time-clusterization of the events. It can help us to get a better understanding of the nature and dynamics of sharp fluctuation of stock price in stock markets.

Oil transformation sector modelling: price interactions

International Nuclear Information System (INIS)

Maurer, A.

1992-01-01

A global oil and oil product prices evolution model is proposed that covers the transformation sector incidence and the final user price establishment together with price interactions between gaseous and liquid hydrocarbons. High disparities among oil product prices in the various consumer zones (North America, Western Europe, Japan) are well described and compared with the low differences between oil supply prices in these zones. Final user price fluctuations are shown to be induced by transformation differences and competition; natural gas market is also modelled

Estimating Drug Costs: How do Manufacturer Net Prices Compare with Other Common US Price References?

Science.gov (United States)

Mattingly, T Joseph; Levy, Joseph F; Slejko, Julia F; Onwudiwe, Nneka C; Perfetto, Eleanor M

2018-05-12

Drug costs are frequently estimated in economic analyses using wholesale acquisition cost (WAC), but what is the best approach to develop these estimates? Pharmaceutical manufacturers recently released transparency reports disclosing net price increases after accounting for rebates and other discounts. Our objective was to determine whether manufacturer net prices (MNPs) could approximate the discounted prices observed by the U.S. Department of Veterans Affairs (VA). We compared the annual, average price discounts voluntarily reported by three pharmaceutical manufacturers with the VA price for specific products from each company. The top 10 drugs by total sales reported from company tax filings for 2016 were included. The discount observed by the VA was determined from each drug's list price, reported as WAC, in 2016. Descriptive statistics were calculated for the VA discount observed and a weighted price index was calculated using the lowest price to the VA (Weighted VA Index), which was compared with the manufacturer index. The discounted price as a percentage of the WAC ranged from 9 to 74%. All three indexes estimated by the average discount to the VA were at or below the manufacturer indexes (42 vs. 50% for Eli Lilly, 56 vs. 65% for Johnson & Johnson, and 59 vs. 59% for Merck). Manufacturer-reported average net prices may provide a close approximation of the average discounted price granted to the VA, suggesting they may be a useful proxy for the true pharmacy benefits manager (PBM) or payer cost. However, individual discounts for products have wide variation, making a standard discount adjustment across multiple products less acceptable.

Pricing and simulation for real estate index options: Radial basis point interpolation

Science.gov (United States)

Gong, Pu; Zou, Dong; Wang, Jiayue

2018-06-01

This study employs the meshfree radial basis point interpolation (RBPI) for pricing real estate derivatives contingent on real estate index. This method combines radial and polynomial basis functions, which can guarantee the interpolation scheme with Kronecker property and effectively improve accuracy. An exponential change of variables, a mesh refinement algorithm and the Richardson extrapolation are employed in this study to implement the RBPI. Numerical results are presented to examine the computational efficiency and accuracy of our method.

A Comparative Analysis of the Price Index in Transition Countries in the Time of Globalisation

Directory of Open Access Journals (Sweden)

Pejović Igor

2014-01-01

Full Text Available Globalisation with all its features can be divided in two segments - good and bad. When we look at the good side of globalisation, it is obvious that it has erased boundaries between countries in terms of trade, education, knowledge sharing, and other new technologies, while on the other hand, the bad side is that it has created a considerable gap between developed and developing countries, then different types of commercial, political and other conditioning, and dependence on strong, developed states. A great contribution to the negative part of globalisation was of economic instability that occurred at the beginning of this century and which consequences are still present in the world. In this article, we presented the impact of economic instability on the price index trough a comparative analysis of transition countries such as Montenegro, Serbia and Croatia over a period of five years (Croatia has just recently become a member of the European Union and due to that fact it was included in this study. The survey covered price indices relating to the prices of industrial products for the domestic markets, consumer price indices, indices of the hospitality services and the prices of the agricultural products.

Chaotic structure of oil prices

Science.gov (United States)

Bildirici, Melike; Sonustun, Fulya Ozaksoy

2018-01-01

The fluctuations in oil prices are very complicated and therefore, it is unable to predict its effects on economies. For modelling complex system of oil prices, linear economic models are not sufficient and efficient tools. Thus, in recent years, economists attached great attention to non-linear structure of oil prices. For analyzing this relationship, GARCH types of models were used in some papers. Distinctively from the other papers, in this study, we aimed to analyze chaotic pattern of oil prices. Thus, it was used the Lyapunov Exponents and Hennon Map to determine chaotic behavior of oil prices for the selected time period.

ARCH Models Efficiency Evaluation in Prediction and Poultry Price Process Formation

Directory of Open Access Journals (Sweden)

Behzad Fakari Sardehae

2016-09-01

Full Text Available Introduction: Poultry is an important commodity for household consumption. In recent years, price fluctuation for this commodity has caused an uncertain condition for consumers and poultry prices over the past two years has changed a lot. This has caused many changes and uncertainty in a purchase decision. Analysis of changes and volatility modeling can be a great help to predict the poultry prices and great facilities in creating appropriate policies in future. The prices of staples such as poultry consumption basket is highly variable because much of the protein is necessary for daily energy are supplied in this way to households. So when the price of chicken which has been changed over the past two years and has always been in the press and media attention, has been selected in this study. Fluctuations in price of chicken have caused a surge in consumer expectations and contributed in volatility of chicken price. Materials and Methods: In this study ARCH models have been used for daily price of poultry of Iran’s market and this was investigated for2012-13and2013-14.BecauseARCH models can model the impact of heterogeneous variance over time in time series data then the variance of time series, which is limited in time, has no time limit. Many time series are more complex than a linear patterns, thus, non-linear models are of particular importance in Economic Sciences and Econometrics. Accordingly, Engle presented that ARCH model can model the heterogeneous variance components of the error term. That is a disturbing element and modeling can help to examine and explore the relationship between the components can be found disturbing. Basically, these models fit the data to a cluster and periodic oscillations with high volatility and low volatility associated with the period. In this study, we used several different models like ARCH, GARCH, IGARCH, and TGARCH. The distribution of the error term of the model also followt-student distribution

Index options : Pricing, implied densities and returns

NARCIS (Netherlands)

Boes, M.J.

2006-01-01

Chapter 2 gives an overview of the literature that is directly related to the topics studied in this thesis. In Chapter 3 the impact of overnight periods on option prices is examined by estimating an option pricing model that takes overnight closures of exchanges explicitly into account. Chapter 4

Sources of Economic Fluctuations in Central America

Directory of Open Access Journals (Sweden)

Wilfredo Toledo

2014-06-01

Full Text Available Using panel data from Central America, this paper studies the determining factors of inflation and aggregate output fluctuations by estimating two Structural Vector Autoregressive (SVAR models. Price and output variables are included in one of the models, whereas M2 and the price of oil are additional variables in the other one. Findings of this study suggest that price is determined by the demand, while output seems to be influenced mainly by the supply shocks in that area. It was also evidenced that the price of oil does not have a significant impact on the general price level in that region.

Analysis of the transmission characteristics of China's carbon market transaction price volatility from the perspective of a complex network.

Science.gov (United States)

Jia, Jingjing; Li, Huajiao; Zhou, Jinsheng; Jiang, Meihui; Dong, Di

2018-03-01

Research on the price fluctuation transmission of the carbon trading pilot market is of great significance for the establishment of China's unified carbon market and its development in the future. In this paper, the carbon market transaction prices of Beijing, Shanghai, Tianjin, Shenzhen, and Guangdong were selected from December 29, 2013 to March 26, 2016, as sample data. Based on the view of the complex network theory, we construct a price fluctuation transmission network model of five pilot carbon markets in China, with the purposes of analyzing the topological features of this network, including point intensity, weighted clustering coefficient, betweenness centrality, and community structure, and elucidating the characteristics and transmission mechanism of price fluctuation in China's five pilot cities. The results of point intensity and weighted clustering coefficient show that the carbon prices in the five markets remained unchanged and transmitted smoothly in general, and price fragmentation is serious; however, at some point, the price fluctuates with mass phenomena. The result of betweenness centrality reflects that a small number of price fluctuations can control the whole market carbon price transmission and price fluctuation evolves in an alternate manner. The study provides direction for the scientific management of the carbon price. Policy makers should take a positive role in promoting market activity, preventing the risks that may arise from mass trade and scientifically forecasting the volatility of trading prices, which will provide experience for the establishment of a unified carbon market in China.

Nonlinear Fluctuation Behavior of Financial Time Series Model by Statistical Physics System

Directory of Open Access Journals (Sweden)

Wuyang Cheng

2014-01-01

Full Text Available We develop a random financial time series model of stock market by one of statistical physics systems, the stochastic contact interacting system. Contact process is a continuous time Markov process; one interpretation of this model is as a model for the spread of an infection, where the epidemic spreading mimics the interplay of local infections and recovery of individuals. From this financial model, we study the statistical behaviors of return time series, and the corresponding behaviors of returns for Shanghai Stock Exchange Composite Index (SSECI and Hang Seng Index (HSI are also comparatively studied. Further, we investigate the Zipf distribution and multifractal phenomenon of returns and price changes. Zipf analysis and MF-DFA analysis are applied to investigate the natures of fluctuations for the stock market.

5 CFR 591.228 - How does OPM convert the price index plus adjustment factor to a COLA rate?

Science.gov (United States)

2010-01-01

... MANAGEMENT CIVIL SERVICE REGULATIONS ALLOWANCES AND DIFFERENTIALS Cost-of-Living Allowance and Post Differential-Nonforeign Areas Cost-Of-Living Allowances § 591.228 How does OPM convert the price index plus...

Determining the Optimum Portfolio of Sharia Stocks Using an Approach of Shariah Compliant Asset Pricing Model (SCAPM

Directory of Open Access Journals (Sweden)

Fakhri Husein

2017-03-01

Full Text Available Shariah Compliant Asset Pricing Model (SCAPM is a modification of the model Capital Asset Pricing Model (CAPM. This research is quantitative descriptive study of theories of optimal portfolio analysis applied to trading stocks, especially in stocks Jakarta Islamic Index. Sampling technique used was purposive sampling and obtained 26 shares. The analysis tool used is MatLab R2010a. The results of this study are not prove theMarkowitz portfolio theory. This is explained by the amount of Beta market (β_m a value beta below 1 indicates that the fluctuation of stocks returns do not follow the movement of market fluctuations. Investors are likely to want a high profit, the investors are advised to choose a second portfolio groups, with rate of 0.176722% and investors are likely to enjoy a substantial risk in the investment portfolio are advised to choose the first group with a great risk of 0.8501%.

A Two-Factor Autoregressive Moving Average Model Based on Fuzzy Fluctuation Logical Relationships

Directory of Open Access Journals (Sweden)

Shuang Guan

2017-10-01

Full Text Available Many of the existing autoregressive moving average (ARMA forecast models are based on one main factor. In this paper, we proposed a new two-factor first-order ARMA forecast model based on fuzzy fluctuation logical relationships of both a main factor and a secondary factor of a historical training time series. Firstly, we generated a fluctuation time series (FTS for two factors by calculating the difference of each data point with its previous day, then finding the absolute means of the two FTSs. We then constructed a fuzzy fluctuation time series (FFTS according to the defined linguistic sets. The next step was establishing fuzzy fluctuation logical relation groups (FFLRGs for a two-factor first-order autoregressive (AR(1 model and forecasting the training data with the AR(1 model. Then we built FFLRGs for a two-factor first-order autoregressive moving average (ARMA(1,m model. Lastly, we forecasted test data with the ARMA(1,m model. To illustrate the performance of our model, we used real Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX and Dow Jones datasets as a secondary factor to forecast TAIEX. The experiment results indicate that the proposed two-factor fluctuation ARMA method outperformed the one-factor method based on real historic data. The secondary factor may have some effects on the main factor and thereby impact the forecasting results. Using fuzzified fluctuations rather than fuzzified real data could avoid the influence of extreme values in historic data, which performs negatively while forecasting. To verify the accuracy and effectiveness of the model, we also employed our method to forecast the Shanghai Stock Exchange Composite Index (SHSECI from 2001 to 2015 and the international gold price from 2000 to 2010.

The Optimal Price Ratio of Typical Energy Sources in Beijing Based on the Computable General Equilibrium Model

Directory of Open Access Journals (Sweden)

Yongxiu He

2014-04-01

Full Text Available In Beijing, China, the rational consumption of energy is affected by the insufficient linkage mechanism of the energy pricing system, the unreasonable price ratio and other issues. This paper combines the characteristics of Beijing’s energy market, putting forward the society-economy equilibrium indicator R maximization taking into consideration the mitigation cost to determine a reasonable price ratio range. Based on the computable general equilibrium (CGE model, and dividing four kinds of energy sources into three groups, the impact of price fluctuations of electricity and natural gas on the Gross Domestic Product (GDP, Consumer Price Index (CPI, energy consumption and CO2 and SO2 emissions can be simulated for various scenarios. On this basis, the integrated effects of electricity and natural gas price shocks on the Beijing economy and environment can be calculated. The results show that relative to the coal prices, the electricity and natural gas prices in Beijing are currently below reasonable levels; the solution to these unreasonable energy price ratios should begin by improving the energy pricing mechanism, through means such as the establishment of a sound dynamic adjustment mechanism between regulated prices and market prices. This provides a new idea for exploring the rationality of energy price ratios in imperfect competitive energy markets.

Near-term oil prices

International Nuclear Information System (INIS)

Lynch, M.C.

2001-01-01

This PowerPoint presentation included 36 slides that described the state of oil prices and how to predict them. Prices are random, stochastic, chaotic, mean-reverting and driven by speculators, oil companies and OPEC. The many factors that enable price forecasting are economic growth, weather, industry behaviour, speculators, OPEC policy choices, Mexico/Russia production policy, non-OPEC supply and the interpretation of the above factors by OPEC, speculators, traders and the petroleum industry. Several graphs were included depicting such things as WTI price forecasts, differentials, oil market change in 2001, inventory levels, and WTI backwardation. The presentation provided some explanations for price uncertainties, price surges and collapses. U.S. GDP growth and the volatility of Iraq's production was also depicted. The author predicted that economic growth will occur and that oil demand will go up. Oil prices will fluctuate as the Middle East will be politically unstable and weather will be a major factor that will influence oil prices. The prices are likely to be more volatile than in the 1986 to 1995 period. 2 tabs., 22 figs

Prospects for oil prices

International Nuclear Information System (INIS)

Caddy, P.

1992-01-01

It is argued that the wave in oil prices which occurred in 1991, although appearing to suggest price instability, in fact shows the opposite. Steady oscillation between a low price level that leads to new customers and a high price that encourages customers to switch to alternatives is a sign of a stable market. This relative stability was achieved against the background of the political upheaval in the USSR and Eastern Europe and its unpredictable consequences. Such political uncertainties to one side, the difficulties of assessing demand trends in the light of the imponderables of the state of the world economy and the weather are stressed. Despite these problems, the view is expressed that correct reading of signals up the supply chain by producers should ensure continued relative price stability. This is not to say that prices will stay exactly the same, just that they will be bound within a trading range set by anticipated consumer and producer responses to the fluctuating prices. (UK)

House Price, House Quality and Economic Growth

NARCIS (Netherlands)

De Vries, P.; Boelhouwer, P.J.

2010-01-01

The literature on housing markets suggest that periods of economic growth are characterised by a demand for better housing quality and increasing prices. The basic principles of the theory are that the short-run price fluctuations occur due to market imperfection, while over the long term, causality

Gasoline Prices and Their Relationship to Drunk-Driving Crashes

OpenAIRE

Guangqing Chi; Xuan Zhou; Timothy McClure; Paul Gilbert; Arthur Cosby; Li Zhang; Angela Robertson; David Levinson

2010-01-01

This study investigates the relationship between changing gasoline prices and drunk-driving crashes. Specifically, we examine the effects of gasoline prices on drunk-driving crashes in Mississippi by age, gender, and race from 2004Ð2008, a period experiencing great fluctuation in gasoline prices. An exploratory visualization by graphs shows that higher gasoline prices are generally associated with fewer drunk-driving crashes. Higher gasoline prices depress drunk- driving crashes among younger...

Price setting in turbulent times

DEFF Research Database (Denmark)

Ólafsson, Tjörvi; Pétursdóttir, Ásgerdur; Vignisdóttir, Karen Á.

This price setting survey among Icelandic firms aims to make two contributions to the literature. First, it studies price setting in an advanced economy within a more turbulent macroeconomic environment than has previously been done. The results indicate that price adjustments are to a larger...... extent driven by exchange rate fluctuations than in most other advanced countries. The median Icelandic firm reviews its prices every four months and changes them every six months. The main sources of price rigidity and the most commonly used price setting methods are the same as in most other countries....... A second contribution to the literature is our analysis of the nexus between price setting and exchange rate movements, a topic that has attracted surprisingly limited attention in this survey-based literature. A novel aspect of our approach is to base our analysis on a categorisation of firms...

Optimal Portfolio Selection in Ex Ante Stock Price Bubble and Furthermore Bubble Burst Scenario from Dhaka Stock Exchange with Relevance to Sharpe’s Single Index Model

Directory of Open Access Journals (Sweden)

Javed Bin Kamal

2012-09-01

Full Text Available The paper aims at constructing an optimal portfolio by applying Sharpe’s single index model of capital asset pricing in different scenarios, one is ex ante stock price bubble scenario and stock price bubble and bubble burst is second scenario. Here we considered beginning of year 2010 as rise of stock price bubble in Dhaka Stock Exchange. Hence period from 2005 -2009 is considered as ex ante stock price bubble period. Using DSI (All share price index in Dhaka Stock Exchange as market index and considering daily indices for the March 2005 to December 2009 period, the proposed method formulates a unique cut off point (cut off rate of return and selects stocks having excess of their expected return over risk-free rate of return surpassing this cut-off point. Here, risk free rate considered to be 8.5% per annum (Treasury bill rate in 2009. Percentage of an investment in each of the selected stocks is then decided on the basis of respective weights assigned to each stock depending on respective ‘β’ value, stock movement variance representing unsystematic risk, return on stock and risk free return vis-à-vis the cut off rate of return. Interestingly, most of the stocks selected turned out to be bank stocks. Again we went for single index model applied to same stocks those made to the optimum portfolio in ex ante stock price bubble scenario considering data for the period of January 2010 to June 2012. We found that all stocks failed to make the pass Single Index Model criteria i.e. excess return over beta must be higher than the risk free rate. Here for the period of 2010 to 2012, the risk free rate considered to be 11.5 % per annum (Treasury bill rate during 2012.

High prices on electric power now again?

International Nuclear Information System (INIS)

Doorman, Gerard

2003-01-01

Deregulation of the electric power market has yielded low prices for the consumers throughout the 1990s. Consumption has now increased considerably, but little new production has been added. This results in high prices in dry years, but to understand this one must understand price formation in the Nordic spot market. The high prices are a powerful signal to the consumers to reduce consumption, but they are also a signal to the producers to seize any opportunity to increase production. However, the construction of new dams etc. stirs up the environmentalists. Ordinary consumers may protect themselves against high prices by signing fixed-price contracts. For those who can tolerate price fluctuations, spot prices are a better alternative than the standard contract with variable price

Pricing index-based catastrophe bonds: Part 1: Formulation and discretization issues using a numerical PDE approach

Science.gov (United States)

Unger, André J. A.

2010-02-01

This work is the first installment in a two-part series, and focuses on the development of a numerical PDE approach to price components of a Bermudan-style callable catastrophe (CAT) bond. The bond is based on two underlying stochastic variables; the PCS index which posts quarterly estimates of industry-wide hurricane losses as well as a single-factor CIR interest rate model for the three-month LIBOR. The aggregate PCS index is analogous to losses claimed under traditional reinsurance in that it is used to specify a reinsurance layer. The proposed CAT bond model contains a Bermudan-style call feature designed to allow the reinsurer to minimize their interest rate risk exposure on making substantial fixed coupon payments using capital from the reinsurance premium. Numerical PDE methods are the fundamental strategy for pricing early-exercise constraints, such as the Bermudan-style call feature, into contingent claim models. Therefore, the objective and unique contribution of this first installment in the two-part series is to develop a formulation and discretization strategy for the proposed CAT bond model utilizing a numerical PDE approach. Object-oriented code design is fundamental to the numerical methods used to aggregate the PCS index, and implement the call feature. Therefore, object-oriented design issues that relate specifically to the development of a numerical PDE approach for the component of the proposed CAT bond model that depends on the PCS index and LIBOR are described here. Formulation, numerical methods and code design issues that relate to aggregating the PCS index and introducing the call option are the subject of the companion paper.

Constructing Quality Adjusted Price Indexes: a Comparison of Hedonic and Discrete Choice Models

OpenAIRE

N. Jonker

2001-01-01

The Boskin report (1996) concluded that the US consumer price index (CPI) overestimated the inflation by 1.1 percentage points. This was due to several measurement errors in the CPI. One of them is called quality change bias. In this paper two methods are compared which can be used to eliminate quality change bias, namely the hedonic method and a method based on the use of discrete choice models. The underlying micro-economic fundations of the two methods are compared as well as their empiric...

Income and price elasticities of electricity demand: Aggregate and sector-wise analyses

Energy Technology Data Exchange (ETDEWEB)

Jamil, Faisal, E-mail: fsljml@hotmail.com [School of Economics, Quaid-e-Azam University, Islamabad (Pakistan); Ahmad, Eatzaz, E-mail: eatzaz@qau.edu.pk [School of Economics, Quaid-e-Azam University, Islamabad (Pakistan)

2011-09-15

Cointegration and vector error correction modeling approaches are widely used in electricity demand analysis. The study rigorously examines the determinants of electricity demand at aggregate and sectoral levels in Pakistan. In the backdrop of severe electricity shortages, our empirical findings give support to the existence of a stable long-run relationship among the variables and indicate that electricity demand is elastic in the long run to both income and price at aggregate level. At sectoral level, long-run income and price elasticity estimates follow this pattern except in agricultural sector, where electricity demand is found elastic to output but inelastic to electricity price. On the contrary, the coefficients for income and price are rather small and mostly insignificant in the short run. We employed temperature index, price of diesel oil and capital stock at aggregate and sectoral levels as exogenous variables. These variables account for most of the variations in electricity demand in the short run. It shows that mechanization of the economy significantly affect the electricity demand at macro level. Moreover, elastic electricity demand with respect to electricity price in most of the sectors implies that electricity price as a policy tool can be used for efficient use and conservation. - Highlights: > The study conducts analysis for aggregate and four sectors. > Sectoral analyses are for residential, commercial, manufacturing and agricultural sectors. > We obtained higher positive income and negative price elasticity in the long run. > The higher price elasticity implies that price can be used as a policy tool. > Capital stock and temperature variables explain most of the short-run demand fluctuations.

The role of storage dynamics in annual wheat prices

Science.gov (United States)

Schewe, Jacob; Otto, Christian; Frieler, Katja

2017-05-01

Identifying the drivers of global crop price fluctuations is essential for estimating the risks of unexpected weather-induced production shortfalls and for designing optimal response measures. Here we show that with a consistent representation of storage dynamics, a simple supply-demand model can explain most of the observed variations in wheat prices over the last 40 yr solely based on time series of annual production and long term demand trends. Even the most recent price peaks in 2007/08 and 2010/11 can be explained by additionally accounting for documented changes in countries’ trade policies and storage strategies, without the need for external drivers such as oil prices or speculation across different commodity or stock markets. This underlines the critical sensitivity of global prices to fluctuations in production. The consistent inclusion of storage into a dynamic supply-demand model closes an important gap when it comes to exploring potential responses to future crop yield variability under climate and land-use change.

Core Indicators of Japan's Consumer Price Index

OpenAIRE

Shigenori Shiratsuka

2006-01-01

The primary objective of the Bank of Japan (BOJ) in conducting monetary policy is to promote sustainable growth by achieving price stability. The price stability that needs to be achieved is regarded as not just short-term and temporary, but sustainable in the medium to long term, which is the common understanding among major central banks. To fulfill this mandate, the BOJ is required to identify the underlying trend of inflation by excluding various idiosyncratic disturbances from measured p...

MONETARY POLICIES AND INDUSTRIAL FLUCTUATIONS IN EAST EUROPEAN COUNTRIES

Directory of Open Access Journals (Sweden)

Mihaela IFRIM

2015-03-01

Full Text Available Industrial fluctuations are closely related to the evolution of relative prices of produced goods and resources involved in production activity. Industrial fluctuations, as an expression of forces manifested in the real economy, are caused by changes in individuals’ consumption and investment decisions, produced within expansionary monetary policies. The ease of obtaining a bank loan in the context of decreasing interest rates and of larger amounts of money caused an increase in individuals’ demand for goods resulted from longer, capital intensive production processes. The rise in prices of intermediate and capital goods in a faster pace compared to the increase in prices of consumer goods is doubled by the increase of the share of higher order industries in the structure of production. The objective of this paper is to analyze changes in industrial structure of Eastern Europe countries within the policies of quick access to monetary resources. The analyzed states (Bulgaria, the Czech Republic, Hungary, Poland and Romania are part of the European Union and have autonomous monetary policies, meaning that they have not yet adopted the common currency. In all economies analyzed, we find approximately the same patterns of monetary expansion and industrial fluctuations.

The Impact of Oil Prices on Irish Inflation

OpenAIRE

O'Brien, Derry; Weymes, Laura

2010-01-01

Oil prices have been characterised by large fluctuations in recent years. Strong volatility in oil prices has important implications for the Irish economy as Ireland has a relatively poor fuel endowment and relies heavily on imported oil. Energy price increases have been one of the principal drivers behind HICP inflation rates in Ireland in recent years. This article highlights the distinctive features of the Irish energy market which render the impact of oil price changes on Irish inflation ...

Nonlinear Pricing to Produce Information

OpenAIRE

David J. Braden; Shmuel S. Oren

1994-01-01

We investigate the firm's dynamic nonlinear pricing problem when facing consumers whose tastes vary according to a scalar index. We relax the standard assumption that the firm knows the distribution of this index. In general the firm should determine its marginal price schedule as if it were myopic, and produce information by lowering the price schedule; “bunching” consumers at positive purchase levels should be avoided. As a special case we also consider a market characterized by homogeneous...

Parabolic Free Boundary Price Formation Models Under Market Size Fluctuations

KAUST Repository

Markowich, Peter A.

2016-10-04

In this paper we propose an extension of the Lasry-Lions price formation model which includes uctuations of the numbers of buyers and vendors. We analyze the model in the case of deterministic and stochastic market size uctuations and present results on the long time asymptotic behavior and numerical evidence and conjectures on periodic, almost periodic, and stochastic uctuations. The numerical simulations extend the theoretical statements and give further insights into price formation dynamics.

Production price of hydrogen from grid connected electrolysis in a power market with high wind penetration

International Nuclear Information System (INIS)

Joergensen, Claus; Ropenus, Stephanie

2008-01-01

In liberalized power markets, there are significant power price fluctuations due to independently varying changes in demand and supply, the latter being substantial in systems with high wind power penetration. In such systems, hydrogen production by grid connected electrolysis can be cost optimized by operating an electrolyzer part time. This paper presents a study on the minimization of the hydrogen production price and its dependence on estimated power price fluctuations. The calculation of power price fluctuations is based on a parameterization of existing data on wind power production, power consumption and power price evolution in the West Danish power market area. The price for hydrogen is derived as a function of the optimal electrolyzer operation hours per year for four different wind penetration scenarios. It is found to amount to 0.41-0.45 EUR/Nm 3 . The study further discusses the hydrogen price sensitivity towards investment costs and the contribution from non-wind power sources. (author)

Production price of hydrogen from grid connected electrolysis in a power market with high wind penetration

Energy Technology Data Exchange (ETDEWEB)

Joergensen, Claus [Materials Research Department, Risoe National Laboratory for Sustainable Energy, Technical University of Denmark, P.O. Box 49, Frederiksborgvej 399, DK-4000 Roskilde (Denmark); Ropenus, Stephanie [Systems Analysis Department, Risoe National Laboratory for Sustainable Energy, Technical University of Denmark, P.O. Box 49, Frederiksborgvej 399, DK-4000 Roskilde (Denmark)

2008-10-15

In liberalized power markets, there are significant power price fluctuations due to independently varying changes in demand and supply, the latter being substantial in systems with high wind power penetration. In such systems, hydrogen production by grid connected electrolysis can be cost optimized by operating an electrolyzer part time. This paper presents a study on the minimization of the hydrogen production price and its dependence on estimated power price fluctuations. The calculation of power price fluctuations is based on a parameterization of existing data on wind power production, power consumption and power price evolution in the West Danish power market area. The price for hydrogen is derived as a function of the optimal electrolyzer operation hours per year for four different wind penetration scenarios. It is found to amount to 0.41-0.45 EUR/Nm{sup 3}. The study further discusses the hydrogen price sensitivity towards investment costs and the contribution from non-wind power sources. (author)

Production price of hydrogen from grid connected electrolysis in a power market with high wind penetration.

Energy Technology Data Exchange (ETDEWEB)

Joergensen, Claus [Materials Research Department, Risoe National Laboratory for Sustainable Energy, Technical University of Denmark, P.O. Box 49, Frederiksborgvej 399, DK-4000 Roskilde (Denmark); Ropenus, Stephanie [Systems Analysis Department, Risoe National Laboratory for Sustainable Energy, Technical University of Denmark, P.O. Box 49, Frederiksborgvej 399, DK-4000 Roskilde (Denmark)

2008-10-15

In liberalized power markets, there are significant power price fluctuations due to independently varying changes in demand and supply, the latter being substantial in systems with high wind power penetration. In such systems, hydrogen production by grid connected electrolysis can be cost optimized by operating an electrolyzer part time. This paper presents a study on the minimization of the hydrogen production price and its dependence on estimated power price fluctuations. The calculation of power price fluctuations is based on a parameterization of existing data on wind power production, power consumption and power price evolution in the West Danish power market area. The price for hydrogen is derived as a function of the optimal electrolyzer operation hours per year for four different wind penetration scenarios. It is found to amount to 0.41-0.45 EUR/Nm{sup 3}. The study further discusses the hydrogen price sensitivity towards investment costs and the contribution from non-wind power sources. (author)

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.

Stop Misusing Higher Education-Specific Price Indices

Science.gov (United States)

Gillen, Andrew; Robe, Jonathan

2011-01-01

In order to compare the price of things over time, it is necessary to use a price index to adjust for inflation. The Higher Education Price Index (HEPI) and the Higher Education Cost Adjustment (HECA) were designed to more accurately account for the spending patterns of colleges and universities. However, there are some methodological problems…

THE PRICE ON THE ORGANIC PRODUCT MARKET

Directory of Open Access Journals (Sweden)

ATĂNĂSOAIE GEORGE SEBASTIAN

2013-08-01

Full Text Available The main objective of this paper is to present prices on PAE market (PAE- organic foods market. Prices areanalyzed in terms of importance and the main factors that contribute to their establishment (quality of products,distribution channels, certification and eco-labeling system, customer segments and market development stage.The paper shows that are used three strategic options of prices: prices with high rigidity located in a low or highlevel and fluctuating prices, characterized by variations on short periods of time. Price is a very importantbarrier to market development but this importance can be mitigated through appropriate communicationpolicies with the market, which are essential especially for markets in early stages of development

Quantifying fluctuations in economic systems by adapting methods of statistical physics

Science.gov (United States)

Stanley, H. E.; Gopikrishnan, P.; Plerou, V.; Amaral, L. A. N.

2000-12-01

The emerging subfield of econophysics explores the degree to which certain concepts and methods from statistical physics can be appropriately modified and adapted to provide new insights into questions that have been the focus of interest in the economics community. Here we give a brief overview of two examples of research topics that are receiving recent attention. A first topic is the characterization of the dynamics of stock price fluctuations. For example, we investigate the relation between trading activity - measured by the number of transactions NΔ t - and the price change GΔ t for a given stock, over a time interval [t, t+ Δt] . We relate the time-dependent standard deviation of price fluctuations - volatility - to two microscopic quantities: the number of transactions NΔ t in Δ t and the variance WΔ t2 of the price changes for all transactions in Δ t. Our work indicates that while the pronounced tails in the distribution of price fluctuations arise from WΔ t, the long-range correlations found in ∣ GΔ t∣ are largely due to NΔ t. We also investigate the relation between price fluctuations and the number of shares QΔ t traded in Δ t. We find that the distribution of QΔ t is consistent with a stable Lévy distribution, suggesting a Lévy scaling relationship between QΔ t and NΔ t, which would provide one explanation for volume-volatility co-movement. A second topic concerns cross-correlations between the price fluctuations of different stocks. We adapt a conceptual framework, random matrix theory (RMT), first used in physics to interpret statistical properties of nuclear energy spectra. RMT makes predictions for the statistical properties of matrices that are universal, that is, do not depend on the interactions between the elements comprising the system. In physics systems, deviations from the predictions of RMT provide clues regarding the mechanisms controlling the dynamics of a given system, so this framework can be of potential value if

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.

PRICE ON THE ORGANIC FOOD MARKET

Directory of Open Access Journals (Sweden)

GEORGE ATANASOAIE

2012-12-01

Full Text Available The main objective of this paper is to present prices on PAE market (PAE- organic foods market. Prices are analyzed in terms of importance and the main factors that contribute to their establishment (quality of products, distribution channels, certification and eco-labeling system, customer segments and market development stage. This paper is based on the investigation of secondary sources, of specialized literature related to PAE consumers. The paper shows that are used three strategic options of prices: prices with high rigidity located in a low or high level and fluctuating prices, characterized by variations on short periods of time. Price is a very important barrier to market development but this importance can be mitigated through appropriate communication policies with the market, which are essential especially for markets in early stages of development.

Asset pricing with index investing

OpenAIRE

Georgy Chabakauri; Oleg Rytchkov

2014-01-01

We provide a novel theoretical analysis of how index investing affects capital market equilibrium. We consider a dynamic exchange economy with heterogeneous investors and two Lucas trees and find that indexing can either increase or decrease the correlation between stock returns and in general increases (decreases) volatilities and betas of stocks with larger (smaller) market capitalizations. Indexing also decreases market volatility and interest rates, although those effects are weak. The im...

Comparison of vector autoregressive (VAR) and vector error correction models (VECM) for index of ASEAN stock price

Science.gov (United States)

Suharsono, Agus; Aziza, Auliya; Pramesti, Wara

2017-12-01

Capital markets can be an indicator of the development of a country's economy. The presence of capital markets also encourages investors to trade; therefore investors need information and knowledge of which shares are better. One way of making decisions for short-term investments is the need for modeling to forecast stock prices in the period to come. Issue of stock market-stock integration ASEAN is very important. The problem is that ASEAN does not have much time to implement one market in the economy, so it would be very interesting if there is evidence whether the capital market in the ASEAN region, especially the countries of Indonesia, Malaysia, Philippines, Singapore and Thailand deserve to be integrated or still segmented. Furthermore, it should also be known and proven What kind of integration is happening: what A capital market affects only the market Other capital, or a capital market only Influenced by other capital markets, or a Capital market as well as affecting as well Influenced by other capital markets in one ASEAN region. In this study, it will compare forecasting of Indonesian share price (IHSG) with neighboring countries (ASEAN) including developed and developing countries such as Malaysia (KLSE), Singapore (SGE), Thailand (SETI), Philippines (PSE) to find out which stock country the most superior and influential. These countries are the founders of ASEAN and share price index owners who have close relations with Indonesia in terms of trade, especially exports and imports. Stock price modeling in this research is using multivariate time series analysis that is VAR (Vector Autoregressive) and VECM (Vector Error Correction Modeling). VAR and VECM models not only predict more than one variable but also can see the interrelations between variables with each other. If the assumption of white noise is not met in the VAR modeling, then the cause can be assumed that there is an outlier. With this modeling will be able to know the pattern of relationship

What is behind the increase in oil prices? Analyzing oil consumption and supply relationship with oil price

International Nuclear Information System (INIS)

Gallo, Andres; Mason, Paul; Shapiro, Steve; Fabritius, Michael

2010-01-01

The continuing increases in oil prices have renewed the argument over the real culprits behind these movements. The growth in demand for oil in international markets, especially from the United States and China, is often identified as the main source of consumption pressure on prices, and thus the upward trend in oil prices. This paper uses unit root tests with two endogenous breaks to analyze the characteristics of oil prices, production, and consumption for several countries. By taking into account structural breaks, we find that many countries' oil consumption and oil prices are stationary, while other countries' are not. We also perform causality tests to determine the direction of any possible relationship between oil price and oil consumption and production. Our statistical analysis reveals that production variables cause oil prices, while oil prices tend to cause consumption. As a result, we claim that the blame for the recent fluctuations in oil prices is more appropriately associated with supply factors, not consumption influences. (author)

Self-Organized Percolation and Critical Sales Fluctuations

Science.gov (United States)

Weisbuch, Gérard; Solomon, Sorin

There is a discrepancy between the standard view of equilibrium through price adjustment in economics and the observation of large fluctuations in stock markets. We study here a simple model where agents decisions not only depend upon their individual preferences but also upon information obtained from their neighbors in a social network. The model shows that information diffusion coupled to the adjustment process drives the system to criticality with large fluctuations rather than converging smoothly to equilibrium.

Income and price elasticities of electricity demand: Aggregate and sector-wise analyses

International Nuclear Information System (INIS)

Jamil, Faisal; Ahmad, Eatzaz

2011-01-01

Cointegration and vector error correction modeling approaches are widely used in electricity demand analysis. The study rigorously examines the determinants of electricity demand at aggregate and sectoral levels in Pakistan. In the backdrop of severe electricity shortages, our empirical findings give support to the existence of a stable long-run relationship among the variables and indicate that electricity demand is elastic in the long run to both income and price at aggregate level. At sectoral level, long-run income and price elasticity estimates follow this pattern except in agricultural sector, where electricity demand is found elastic to output but inelastic to electricity price. On the contrary, the coefficients for income and price are rather small and mostly insignificant in the short run. We employed temperature index, price of diesel oil and capital stock at aggregate and sectoral levels as exogenous variables. These variables account for most of the variations in electricity demand in the short run. It shows that mechanization of the economy significantly affect the electricity demand at macro level. Moreover, elastic electricity demand with respect to electricity price in most of the sectors implies that electricity price as a policy tool can be used for efficient use and conservation. - Highlights: → The study conducts analysis for aggregate and four sectors. → Sectoral analyses are for residential, commercial, manufacturing and agricultural sectors. → We obtained higher positive income and negative price elasticity in the long run. → The higher price elasticity implies that price can be used as a policy tool. → Capital stock and temperature variables explain most of the short-run demand fluctuations.

The effects of oil price shocks on output and inflation in China

International Nuclear Information System (INIS)

Zhao, Lin; Zhang, Xun; Wang, Shouyang; Xu, Shanying

2016-01-01

Crude oil price shocks derive from many sources, each of which may bring about different effects on macro-economy variables and require completely different designs in macro-economic policy; thus, distinguishing the sources of oil price fluctuations is crucial when evaluating these effects. This paper establishes an open-economy dynamic stochastic general equilibrium (DSGE) model with two economies: China and the rest of the world. To assess the effects of oil price shocks, the CES production function is extended by adding oil as an input. Based on the model, the effects of four types of oil price fluctuations are evaluated. The four types of oil price shocks are supply shocks driven by political events in OPEC countries, other oil supply shocks, aggregate shocks to the demand for industrial commodities, and demand shocks that are specific to the crude oil market. Simulation results indicate the following: Oil supply shocks driven by political events mainly produce short-term effects on China's output and inflation, while the other three shocks produce relatively long-term effects; in addition, demand shocks that are specific to the crude oil market contribute the most to the fluctuations in China's output and inflation.

The Cushing OK Crude Oil Futures Price Pass - Through to New York Harbor Reformulated RBOB Regular Gasoline Futures Price

OpenAIRE

Chu V. Nguyen

2017-01-01

This study utilizes an Autoregressive Distributed Lag model to investigate the nature of crude oil futures price pass-through since 2006. The empirical results reveal a very high but incomplete short-run pass-through rate from the crude oil futures price to the gasoline futures price of 0.849298 with a corresponding negative long-run pass-through rate of -0.2440894. These empirical findings suggest that traders in the U.S. oil and gasoline futures markets overreact to fluctuations in the crud...

Pharmaceutical policies: effects of reference pricing, other pricing, and purchasing policies.

Science.gov (United States)

Acosta, Angela; Ciapponi, Agustín; Aaserud, Morten; Vietto, Valeria; Austvoll-Dahlgren, Astrid; Kösters, Jan Peter; Vacca, Claudia; Machado, Manuel; Diaz Ayala, Diana Hazbeydy; Oxman, Andrew D

2014-10-16

Pharmaceuticals are important interventions that could improve people's health. Pharmaceutical pricing and purchasing policies are used as cost-containment measures to determine or affect the prices that are paid for drugs. Internal reference pricing establishes a benchmark or reference price within a country which is the maximum level of reimbursement for a group of drugs. Other policies include price controls, maximum prices, index pricing, price negotiations and volume-based pricing. To determine the effects of pharmaceutical pricing and purchasing policies on health outcomes, healthcare utilisation, drug expenditures and drug use. We searched the Cochrane Central Register of Controlled Trials (CENTRAL), part of The Cochrane Library (including the Effective Practice and Organisation of Care Group Register) (searched 22/10/2012); MEDLINE In-Process & Other Non-Indexed Citations and MEDLINE, Ovid (searched 22/10/2012); EconLit, ProQuest (searched 22/10/2012); PAIS International, ProQuest (searched 22/10/2012); World Wide Political Science Abstracts, ProQuest (searched 22/10/2012); INRUD Bibliography (searched 22/10/2012); Embase, Ovid (searched 14/12/2010); NHSEED, part of The Cochrane Library (searched 08/12/2010); LILACS, VHL (searched 14/12/2010); International Political Science Abstracts (IPSA), Ebsco (searched (17/12/2010); OpenSIGLE (searched 21/12/10); WHOLIS, WHO (searched 17/12/2010); World Bank (Documents and Reports) (searched 21/12/2010); Jolis (searched 09/10/2011); Global Jolis (searched 09/10/2011) ; OECD (searched 30/08/2005); OECD iLibrary (searched 30/08/2005); World Bank eLibrary (searched 21/12/2010); WHO - The Essential Drugs and Medicines web site (browsed 21/12/2010). Policies in this review were defined as laws; rules; financial and administrative orders made by governments, non-government organisations or private insurers. To be included a study had to include an objective measure of at least one of the following outcomes: drug use

The impact of gasoline price fluctuations on lodging demand for US brand hotels

International Nuclear Information System (INIS)

Walsh, Kate; Enz, Cathy A.; Canina, Linda

2004-01-01

Analyzing US brand hotels, over a 13-year period, this study provides empirical evidence of a significant negative relationship between gasoline prices and demand for certain lodging products, controlling for economic factors (i.e. gross domestic product and population density). Applying principles from microeconomic demand theory to the literature on gasoline price elasticities, consumer demographics and lodging demand, a set of hypotheses were devised to test the relationship between gasoline prices and lodging demand for specific hotel locations and price segments. Using fixed effects models, the results reveal that lodging demand decreases as gasoline prices rise in all segments except upper-upscale and all locations except urban areas. Hotels in midscale without food and beverage and economy market segments, in resort, suburban and highway locations, exhibit the greatest association between gasoline price shifts and demand. Implications of these findings are discussed for both hospitality research and practice. (Author)

The impact of gasoline price fluctuations on lodging demand for US brand hotels

Energy Technology Data Exchange (ETDEWEB)

Walsh, Kate; Enz, Cathy A.; Canina, Linda [Cornell Univ., School of Hotel Administration, Ithaca, NY (United States)

2004-12-01

Analyzing US brand hotels, over a 13-year period, this study provides empirical evidence of a significant negative relationship between gasoline prices and demand for certain lodging products, controlling for economic factors (i.e. gross domestic product and population density). Applying principles from microeconomic demand theory to the literature on gasoline price elasticities, consumer demographics and lodging demand, a set of hypotheses were devised to test the relationship between gasoline prices and lodging demand for specific hotel locations and price segments. Using fixed effects models, the results reveal that lodging demand decreases as gasoline prices rise in all segments except upper-upscale and all locations except urban areas. Hotels in midscale without food and beverage and economy market segments, in resort, suburban and highway locations, exhibit the greatest association between gasoline price shifts and demand. Implications of these findings are discussed for both hospitality research and practice. (Author)

Health Effects of Short-Term Fluctuations in Macroeconomic Conditions: The Case of Hypertension for Older Americans.

Science.gov (United States)

Angrisani, Marco; Lee, Jinkook

2016-11-01

We investigate the health effects of short-term macroeconomic fluctuations as described by changes in unemployment rate, house, and stock market price indexes. The 'Great Recession' provides the opportunity to conduct this analysis as it involved contemporaneous shocks to the labor, housing, and stock markets. Using panel data from the Health and Retirement Study over the period 2004-2010, we relate changes in hypertension status to changes in state-level unemployment rate and house prices and to changes in stock market prices. We consider hypertension, a disease related to stress and of high prevalence among older adults, that has received little attention in the literature linking macroeconomic conditions to individual health. Our analysis exploits self-reports of hypertension diagnosis as well as directly measured blood pressure readings. Using both measures, we find that the likelihood of developing hypertension is negatively related to changes in house prices. Also, decreasing house prices lower the probability of stopping hypertension medication treatment for individuals previously diagnosed with the condition. We do not observe significant associations between hypertension and either changes in unemployment rate or stock market prices. We document heterogeneity in the estimated health effects of the recession by gender, education, asset ownership, and work status. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Nodal price volatility reduction and reliability enhancement of restructured power systems considering demand-price elasticity

International Nuclear Information System (INIS)

Goel, L.; Wu, Qiuwei; Wang, Peng

2008-01-01

With the development of restructured power systems, the conventional 'same for all customers' electricity price is getting replaced by nodal prices. Electricity prices will fluctuate with time and nodes. In restructured power systems, electricity demands will interact mutually with prices. Customers may shift some of their electricity consumption from time slots of high electricity prices to those of low electricity prices if there is a commensurate price incentive. The demand side load shift will influence nodal prices in return. This interaction between demand and price can be depicted using demand-price elasticity. This paper proposes an evaluation technique incorporating the impact of the demand-price elasticity on nodal prices, system reliability and nodal reliabilities of restructured power systems. In this technique, demand and price correlations are represented using the demand-price elasticity matrix which consists of self/cross-elasticity coefficients. Nodal prices are determined using optimal power flow (OPF). The OPF and customer damage functions (CDFs) are combined in the proposed reliability evaluation technique to assess the reliability enhancement of restructured power systems considering demand-price elasticity. The IEEE reliability test system (RTS) is simulated to illustrate the developed techniques. The simulation results show that demand-price elasticity reduces the nodal price volatility and improves both the system reliability and nodal reliabilities of restructured power systems. Demand-price elasticity can therefore be utilized as a possible efficient tool to reduce price volatility and to enhance the reliability of restructured power systems. (author)

Price and utilisation differences for statins between four countries.

Science.gov (United States)

Thai, Loc Phuoc; Vitry, Agnes Isabelle; Moss, John Robert

2018-02-01

Australia, England, France and New Zealand use different policies to regulate their medicines market, which can impact on utilisation and price. To compare the prices and utilisation of statins in Australia, England, France and New Zealand from 2011 to 2013. Utilisation of statins in the four countries was compared using Defined Daily Doses (DDD) per 1000 inhabitants per year. Pairwise Laspeyres and Paasche index comparisons were conducted comparing the price and utilisation of statins. The results showed that the price of statins in New Zealand was the cheapest. The price of statins in Australia was most expensive in 2011 and 2012 but France was more expensive in 2013. There were large differences between the Laspeyres index and Paasche index when comparing the price and utilisation of England with Australia and France. The policies that regulate the New Zealand and England medicines markets were more effective in reducing the price of expensive statins. The relative utilisation of cheaper statins was greatest in England and had a large effect on the differences between the two index results. The pricing policies in Australia have been only partly effective in reducing the price of statins compared to other countries.

Report on the inquiry into sale price fluctuations of gasoline and diesel fuel in the regions of Abitibi-Temiscamingue, Saguenay-Lac Saint Jean and the Upper Mauricie, October 1998 to 31 December 1999

International Nuclear Information System (INIS)

Lambert, L.; Dumais, M. A.

2000-01-01

An inquiry was initiated by the President of the Quebec Energy Board (Regie de l'energie) on October 7, 1999 to review the reasons for the wide fluctuations in the retail sale prices of gasoline and diesel fuel in the regions of Abitibi-Temiscamingue, Saguenay/Lac-Saint-Jean and the Upper Mauricie, although the Board has no jurisdiction over the prices charged for petroleum products or anti-competitive practices. Consequently, the inquiry confined itself to an analysis of the information pertaining to the structure and forces driving the petroleum products market, and an examination of price mechanisms and consumer reactions in these regions. The inquiry reviewed the relevant legislation and regulation, the social, economic and energy situations in the affected regions, and the structure and functioning of the market for gasoline and diesel fuel. The inquiry came to the conclusion that the price fluctuations during the period under review reflected the wholesale prices recorded at Montreal and Quebec, which are determined by national and international market forces over which Quebec has no significant control. Furthermore, the inquiry concluded that although market forces are present and functioning in the regions, there are relatively few outlets affiliated with major oil companies, and a large number of independent retail outlets with relatively small volumes of annual sales. They essentially set their own prices at a level that reflect their cost of operation. Appendices contain the Inquiry's mandate, a list of those who testified before the Inquiry, a map showing the geographic profile of the regions surveyed and a list of figures and tables. 18 tabs., 31 figs

Pricing end-of-life components

Science.gov (United States)

Vadde, Srikanth; Kamarthi, Sagar V.; Gupta, Surendra M.

2005-11-01

The main objective of a product recovery facility (PRF) is to disassemble end-of-life (EOL) products and sell the reclaimed components for reuse and recovered materials in second-hand markets. Variability in the inflow of EOL products and fluctuation in demand for reusable components contribute to the volatility in inventory levels. To stay profitable the PRFs ought to manage their inventory by regulating the price appropriately to minimize holding costs. This work presents two deterministic pricing models for a PRF bounded by environmental regulations. In the first model, the demand is price dependent and in the second, the demand is both price and time dependent. The models are valid for single component with no inventory replenishment sale during the selling horizon . Numerical examples are presented to illustrate the models.

A Consistent Pricing Model for Index Options and Volatility Derivatives

DEFF Research Database (Denmark)

Kokholm, Thomas

to be priced consistently, while allowing for jumps in volatility and returns. An affine specification using Lévy processes as building blocks leads to analytically tractable pricing formulas for volatility derivatives, such as VIX options, as well as efficient numerical methods for pricing of European options...... on the underlying asset. The model has the convenient feature of decoupling the vanilla skews from spot/volatility correlations and allowing for different conditional correlations in large and small spot/volatility moves. We show that our model can simultaneously fit prices of European options on S&P 500 across...

A Consistent Pricing Model for Index Options and Volatility Derivatives

DEFF Research Database (Denmark)

Cont, Rama; Kokholm, Thomas

2013-01-01

to be priced consistently, while allowing for jumps in volatility and returns. An affine specification using Lévy processes as building blocks leads to analytically tractable pricing formulas for volatility derivatives, such as VIX options, as well as efficient numerical methods for pricing of European options...... on the underlying asset. The model has the convenient feature of decoupling the vanilla skews from spot/volatility correlations and allowing for different conditional correlations in large and small spot/volatility moves. We show that our model can simultaneously fit prices of European options on S&P 500 across...

News impact for Turkish food prices

Directory of Open Access Journals (Sweden)

Meltem Chadwick

2017-06-01

Full Text Available Asymmetric volatility is a widely encountered concept particularly in financial series. It refers to the case that “bad news” generates more volatility than “good news” of equal magnitude. In an inflationary environment “bad news” is disclosed as increasing inflation that is expected to generate higher volatility. The present article examines whether unexpected price changes affect the volatility of prices asymmetrically for 90 retail food items of the Turkish consumer price index. These 90 food items have a weight of approximately 20 percent in headline consumer price index (CPI. We employ exponential generalized autoregressive conditional heteroscedastic (EGARCH model to extract asymmetric volatility, using monthly data between January 2003 and January 2017. Our results reveal that volatility of food prices respond asymmetrically to unexpected price shocks for 62 percent of the retail food items.

Bounds and inequalities relating h-index, g-index, e-index and generalized impact factor: an improvement over existing models.

Science.gov (United States)

Abbas, Ash Mohammad

2012-01-01

In this paper, we describe some bounds and inequalities relating h-index, g-index, e-index, and generalized impact factor. We derive the bounds and inequalities relating these indexing parameters from their basic definitions and without assuming any continuous model to be followed by any of them. We verify the theorems using citation data for five Price Medalists. We observe that the lower bound for h-index given by Theorem 2, [formula: see text], g ≥ 1, comes out to be more accurate as compared to Schubert-Glanzel relation h is proportional to C(2/3)P(-1/3) for a proportionality constant of 1, where C is the number of citations and P is the number of papers referenced. Also, the values of h-index obtained using Theorem 2 outperform those obtained using Egghe-Liang-Rousseau power law model for the given citation data of Price Medalists. Further, we computed the values of upper bound on g-index given by Theorem 3, g ≤ (h + e), where e denotes the value of e-index. We observe that the upper bound on g-index given by Theorem 3 is reasonably tight for the given citation record of Price Medalists.

Econophysics: Master curve for price-impact function

Science.gov (United States)

Lillo, Fabrizio; Farmer, J. Doyne; Mantegna, Rosario N.

2003-01-01

The price reaction to a single transaction depends on transaction volume, the identity of the stock, and possibly many other factors. Here we show that, by taking into account the differences in liquidity for stocks of different size classes of market capitalization, we can rescale both the average price shift and the transaction volume to obtain a uniform price-impact curve for all size classes of firm for four different years (1995-98). This single-curve collapse of the price-impact function suggests that fluctuations from the supply-and-demand equilibrium for many financial assets, differing in economic sectors of activity and market capitalization, are governed by the same statistical rule.

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.

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.

A theory of power-law distributions in financial market fluctuations.

Science.gov (United States)

Gabaix, Xavier; Gopikrishnan, Parameswaran; Plerou, Vasiliki; Stanley, H Eugene

2003-05-15

Insights into the dynamics of a complex system are often gained by focusing on large fluctuations. For the financial system, huge databases now exist that facilitate the analysis of large fluctuations and the characterization of their statistical behaviour. Power laws appear to describe histograms of relevant financial fluctuations, such as fluctuations in stock price, trading volume and the number of trades. Surprisingly, the exponents that characterize these power laws are similar for different types and sizes of markets, for different market trends and even for different countries--suggesting that a generic theoretical basis may underlie these phenomena. Here we propose a model, based on a plausible set of assumptions, which provides an explanation for these empirical power laws. Our model is based on the hypothesis that large movements in stock market activity arise from the trades of large participants. Starting from an empirical characterization of the size distribution of those large market participants (mutual funds), we show that the power laws observed in financial data arise when the trading behaviour is performed in an optimal way. Our model additionally explains certain striking empirical regularities that describe the relationship between large fluctuations in prices, trading volume and the number of trades.

Oil price and the dollar

International Nuclear Information System (INIS)

Coudert, V.; Mignon, V.; Penot, A.

2007-01-01

Oil prices and the United States (US) dollar exchange rate are driving the evolution of the world economy. This paper investigated long-term relationships between oil prices and the US effective exchange rate. An empirical study was performed on oil prices and the dollar real effective exchange rate between 1974 to 2004. The impact of the dollar exchange rate was also explored, and the effects of oil prices on supply and demand were considered. A dynamic partial equilibrium framework study was evaluated in order to compare how other countries used revenues from oil exports in dollars. The study showed that both variables had similar evolutions when price fluctuations were low. Strong increases in the dollar were associated with lower oil prices. However, adjustment speeds of the dollar real effective exchange rate was slow. Co-integration and causality tests showed that oil prices influenced the exchange rate, and that the link between the 2 variables was transmitted through the country's net foreign asset position. It was concluded that higher oil prices improved US net foreign asset position in relation to other countries, and had a positive impact on dollar appreciation. 24 refs., 6 tabs., 1 fig

Price smarter on the Net.

Science.gov (United States)

Baker, W; Marn, M; Zawada, C

2001-02-01

Companies generally have set prices on the Internet in two ways. Many start-ups have offered untenably low prices in a rush to capture first-mover advantage. Many incumbents have simply charged the same prices on-line as they do off-line. Either way, companies are missing a big opportunity. The fundamental value of the Internet lies not in lowering prices or making them consistent but in optimizing them. After all, if it's easy for customers to compare prices on the Internet, it's also easy for companies to track customers' behavior and adjust prices accordingly. The Net lets companies optimize prices in three ways. First, it lets them set and announce prices with greater precision. Different prices can be tested easily, and customers' responses can be collected instantly. Companies can set the most profitable prices, and they can tap into previously hidden customer demand. Second, because it's so easy to change prices on the Internet, companies can adjust prices in response to even small fluctuations in market conditions, customer demand, or competitors' behavior. Third, companies can use the clickstream data and purchase histories that it collects through the Internet to segment customers quickly. Then it can offer segment-specific prices or promotions immediately. By taking full advantage of the unique possibilities afforded by the Internet to set prices with precision, adapt to changing circumstances quickly, and segment customers accurately, companies can get their pricing right. It's one of the ultimate drivers of e-business success.

OPEC's production under fluctuating oil prices. Further test of the target revenue theory

International Nuclear Information System (INIS)

Ramcharran, H.

2001-01-01

Oil production cutbacks in recent years by OPEC members to stabilize price and to increase revenues warrant further empirical verification of the target revenue theory (TRT). We estimate a modified version of Griffin (1985) target revenue model using data from 1973 to 2000. The sample period, unlike previous investigations, includes phases of both price increase (1970s) and price decrease (1980s-1990s), thus providing a better framework for examining production behavior. The results, like the earlier study, are not supportive of the strict version of the TRT, however, evidence (negative and significant elasticity of supply) of the partial version are substantiated. Further empirical estimates do not support the competitive pricing model, hypothesizing a positive elasticity of supply. OPEC's loss of market share and the drop in the share of oil-based energy should signal an adjustment in pricing and production strategies

FEWS NET Price Volatility Data 2002-2012

Data.gov (United States)

US Agency for International Development — This dataset from the Famine Early Warning System Network (FEWS NET) documents ten years, from 2002 to 2012, of cereal price fluctuations across twenty-five African...

Gas prices: realities and probabilities

International Nuclear Information System (INIS)

Broadfoot, M.

2000-01-01

An assessment of price trends suggests continuing rise in 2001, with some easing of upward price movement in 2002 and 2003. Storage levels as of Nov. 1, 2000 are expected to be at 2.77 Tcf, but if the winter of 2000/2001 proves to be more severe than usual, inventory levels could sink as low as 500 Bcf by April 1, 2001. With increasing demand for natural gas for non-utility electric power generation the major challenge will be to achieve significant supply growth, which means increased developmental drilling and inventory draw-downs, as well as more exploratory drilling in deepwater and frontier regions. Absence of a significant supply response by next summer will affect both growth in demand and in price levels, and the increased demand for electric generation in the summer will create a flatter consumption profile, erasing the traditional summer/winter spread in consumption, further intensifying price volatility. Managing price fluctuations is the second biggest challenge (after potential supply problems) facing the industry

Oil price and food price volatility dynamics: The case of Nigeria

Directory of Open Access Journals (Sweden)

Ijeoma C. Nwoko

2016-12-01

Full Text Available This study examines the long and short run relationships between oil price and food price volatility as well as the causal link between them. The study used annual food price volatility index from FAO from 2000 to 2013 and crude oil price from U.S. Energy Information and Administration (EIA from 2000 to 2013. The Johansen and Jesulius co-integration test revealed that there is a long run relationship between oil price and domestic food price volatility. The vector error correction model indicated a positive and significant short run relationship between oil price and food price volatility. The Granger causality test revealed a unidirectional causality with causality running from oil price to food price volatility but not vice versa. It is recommended that policies and interventions that will help reduce uncertainty about food prices such as improved market information, trade policies and investment in research and development among others should be encouraged. Also to reduce the effect of oil price shock, it is recommended that government should subsidise pump price of refined oil, seek alternative sources of energy and there should be less dependence on oil for fertilizer production.

Nominal and real price convergence in Romania – Statistical evaluation -

Directory of Open Access Journals (Sweden)

Mihai Gheorghe

2015-09-01

Full Text Available The creation of both the Economic and Monetary Union and of the single common market have meant two very important steps in getting a more and more compact Union. The first step regarding EMU lead to the adoption of a single currency and to the elimination of the exchange rates fluctuations, while the second one lead to the elimination of physical, administrative and technical barriers in order to achieve a sustainable economic growth and a stimulation of competition. Romanian authorities set out a new target year for the Euro adoption. Technically, the euro adoption as of 1 January 2019 would imply participation in the ERM II starting 1 January 2016 for the minimum 2-year stay. During this period the EU authorities will assess whether Romania meet the determined criteria for entering the third stage of EMU. The purpose of the paper is to assess the nominal and real convergence of Romanian prices, before and after the admission to the European Union (EU. The paper provides a short presentation of technical consideration of the both indices used to measure the price convergence, namely Harmonized Indices of Consumer Prices (HICP and the price level estimated in the PEC framework. A retrospective analysis since the EU admission show that in Romania, the inflation measured by the harmonized index of consumer prices has been on a downward trend, but is still relatively high, at an average rate of 3,2% in 2013. In Romania the price level is significantly lower as compared to the EU 15 average (46%, most probably this is due to the low per capita income level. In addition, the poor marketing and the low reputation of the domestic goods and services can also be regarded as factors reducing the convergence of prices in Romania and the EU.

Price discovery on the Johannesburg Stock Exchange: Examining ...

African Journals Online (AJOL)

Price discovery on the Johannesburg Stock Exchange: Examining the impact of the ... of price discovery aim to determine which market reflects new information first. ... This paper examines the FTSE/JSE Top 40 Index, the Top 40 Index Futures ...

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

Oil prices, SUVs, and Iraq. An investigation of automobile manufacturer oil price sensitivity

Energy Technology Data Exchange (ETDEWEB)

Cameron, Ken [United States Navy (United States); Schnusenberg, Oliver [Department of Accounting and Finance, Coggin College of Business, The University of North Florida, 1 UNF Drive, Jacksonville, FL 32224 (United States)

2009-05-15

There has been much speculation about the recent upsurge in crude oil prices and the effect it will have on the economy and business. The objective of this paper is to investigate the relationship between oil prices and stock prices of automobile manufacturers. We add an oil price factor, measured alternatively by the excess change in WTI crude oil prices or the excess return on an energy ETF, to the Fama-French three-factor model over the period March 20, 2001 to September 30, 2008. Our dependent variable is the excess return on a price-weighted index of automobile manufacturers. Results indicate that oil prices add value to the pricing model, particularly for manufacturers specializing in SUVs and for a subperiod following the Iraq invasion on March 19, 2003. (author)

Analisis Saham Syariah Efisien dengan Pendekatan Shari’a Compliant Asset Pricing Model (SCAPM pada Jakarta Islamic Index (JII

Directory of Open Access Journals (Sweden)

Zainul Hasan Quthbi

2017-10-01

Artikel ini bermaksud untuk menganalisis saham syariah yang tergolong efisien untuk keputusan investasi dengan menggunakan SCAPM (Shari’a Compliant Asset Pricing Model. SCAPM adalah bentuk modifikasi dari CAPM (Capital Asset Pricing Model yang bertujuan agar kerangka model analisis masih dalam kerangka syariah. Teknik pengumpulan data adalah dokumentasi dari data yang bersifat sekunder. Digunakan 13 sampel saham syariah pada penelitian ini dengan kriteria saham syariah yang konsisten masuk pada JII (Jakarta Islamic Index periode penelitian Desember 2013 hingga November 2016 dan memiliki pengembalian saham individual positif. Hasil dari penelitian menunjukkan terdapat 9 saham syariah yang tergolong efisien dan 4 sisanya tidak efisien. Saham PT. Adaro Energy memiliki nilai RVAR terbesar yang berarti memiliki kinerja saham paling baik.

Rising natural gas and electricity prices in the Netherlands

International Nuclear Information System (INIS)

Roggen, M.

2004-01-01

In a free market, the price for electricity rises rather than falls. And as for the gas price, the consumer will be facing strong fluctuations. For that matter, it is only slightly connected with the liberalization of the market. An employee of Roland Berger Strategy Consultants has delved deeply into the matter, down to the euro [nl

The price of cigarettes in the European Union.

Science.gov (United States)

Montes, A; Villalbí, J R

2001-06-01

A major factor influencing tobacco use is its price. Fiscal policies on tobacco are a key ingredient of any comprehensive control strategy, as they can be used to raise prices. The European Union (EU) developed directives to ensure some harmonisation of the fiscal pressure on tobacco across its member states. To provide a simple comparison of tobacco prices in the EU, adjusting for the purchasing power of each currency. For price comparisons, a 20 units pack of Marlboro was the reference product, and data refer to April 2000. Purchasing power parities (PPP) for each member state currency have been compiled. These are currency conversion rates, which convert to a common currency and equalise the purchasing power of different currencies. Nominal prices of a Marlboro pack for each member state, and a price index, estimated taking as reference the EU mean. Adjusted prices and an adjusted price index have been estimated using PPP. Nominal prices show wide variation, with the cheapest pack in Portugal (59) and the most expensive in the UK (196); the range of variation is three-fold. However, PPP adjusted prices reveal a different distribution. In three countries adjusted prices are outliers, but all other countries make two clusters, one around the average EU index of 100, the other around a lower value of 85. These results suggest that fiscal harmonisation policies in the EU do not have an even effect at reducing availability by its impact in price.

Price-elastic demand in deregulated electricity markets

Energy Technology Data Exchange (ETDEWEB)

Siddiqui, Afzal S.

2003-05-01

The degree to which any deregulated market functions efficiently often depends on the ability of market agents to respond quickly to fluctuating conditions. Many restructured electricity markets, however, experience high prices caused by supply shortages and little demand-side response. We examine the implications for market operations when a risk-averse retailer's end-use consumers are allowed to perceive real-time variations in the electricity spot price. Using a market-equilibrium model, we find that price elasticity both increases the retailers revenue risk exposure and decreases the spot price. Since the latter induces the retailer to reduce forward electricity purchases, while the former has the opposite effect, the overall impact of price responsive demand on the relative magnitudes of its risk exposure and end-user price elasticity. Nevertheless, price elasticity decreases cumulative electricity consumption. By extending the analysis to allow for early settlement of demand, we find that forward stage end-user price responsiveness decreases the electricity forward price relative to the case with price-elastic demand only in real time. Moreover, we find that only if forward stage end-user demand is price elastic will the equilibrium electricity forward price be reduced.

Impact of speculator's expectations of returns and time scales of investment on crude oil price behaviors

International Nuclear Information System (INIS)

He, Ling-Yun; Fan, Ying; Wei, Yi-Ming

2009-01-01

Based on time series of crude oil prices (daily spot), this paper analyses price fluctuation with two significant parameters τ (speculators' time scales of investment) and ε (speculators' expectations of return) by using Zipf analysis technique, specifically, by mapping τ-returns of prices into 3-alphabeted sequences (absolute frequencies) and 2-alphabeted sequences (relative frequencies), containing the fundamental information of price fluctuations. This paper empirically explores parameters and identifies various types of speculators' cognition patterns of price behavior. In order to quantify the degree of distortion, a feasible reference is proposed: an ideal speculator. Finally, this paper discusses the similarities and differences between those cognition patterns of speculators' and those of an ideal speculator. The resultant analyses identify the possible distortion of price behaviors by their patterns. (author)

Price-elastic demand in deregulated electricity markets

OpenAIRE

Siddiqui, Afzal S.

2003-01-01

The degree to which any deregulated market functions efficiently often depends on the ability of market agents to respond quickly to fluctuating conditions. Many restructured electricity markets, however, experience high prices caused by supply shortages and little demand-side response. We examine the implications for market operations when a risk-averse retailer's end-use consumers are allowed to perceive real-time variations in the electricity spot price. Using a market-equilibrium mo...

Fluctuating Asymmetry of Human Populations: A Review

Directory of Open Access Journals (Sweden)

John H. Graham

2016-12-01

Full Text Available Fluctuating asymmetry, the random deviation from perfect symmetry, is a widely used population-level index of developmental instability, developmental noise, and robustness. It reflects a population’s state of adaptation and genomic coadaptation. Here, we review the literature on fluctuating asymmetry of human populations. The most widely used bilateral traits include skeletal, dental, and facial dimensions; dermatoglyphic patterns and ridge counts; and facial shape. Each trait has its advantages and disadvantages, but results are most robust when multiple traits are combined into a composite index of fluctuating asymmetry (CFA. Both environmental (diet, climate, toxins and genetic (aneuploidy, heterozygosity, inbreeding stressors have been linked to population-level variation in fluctuating asymmetry. In general, these stressors increase average fluctuating asymmetry. Nevertheless, there have been many conflicting results, in part because (1 fluctuating asymmetry is a weak signal in a sea of noise; and (2 studies of human fluctuating asymmetry have not always followed best practices. The most serious concerns are insensitive asymmetry indices (correlation coefficient and coefficient of indetermination, inappropriate size scaling, unrecognized mixture distributions, inappropriate corrections for directional asymmetry, failure to use composite indices, and inattention to measurement error. Consequently, it is often difficult (or impossible to compare results across traits, and across studies.

The Interval Slope Method for Long-Term Forecasting of Stock Price Trends

Directory of Open Access Journals (Sweden)

Chun-xue Nie

2016-01-01

Full Text Available A stock price is a typical but complex type of time series data. We used the effective prediction of long-term time series data to schedule an investment strategy and obtain higher profit. Due to economic, environmental, and other factors, it is very difficult to obtain a precise long-term stock price prediction. The exponentially segmented pattern (ESP is introduced here and used to predict the fluctuation of different stock data over five future prediction intervals. The new feature of stock pricing during the subinterval, named the interval slope, can characterize fluctuations in stock price over specific periods. The cumulative distribution function (CDF of MSE was compared to those of MMSE-BC and SVR. We concluded that the interval slope developed here can capture more complex dynamics of stock price trends. The mean stock price can then be predicted over specific time intervals relatively accurately, in which multiple mean values over time intervals are used to express the time series in the long term. In this way, the prediction of long-term stock price can be more precise and prevent the development of cumulative errors.

The tell-tale heart: heart rate fluctuations index objective and subjective events during a game of chess.

Science.gov (United States)

Leone, María J; Petroni, Agustín; Fernandez Slezak, Diego; Sigman, Mariano

2012-01-01

During a decision-making process, the body changes. These somatic changes have been related to specific cognitive events and also have been postulated to assist decision-making indexing possible outcomes of different options. We used chess to analyze heart rate (HR) modulations on specific cognitive events. In a chess game, players have a limited time-budget to make about 40 moves (decisions) that can be objectively evaluated and retrospectively assigned to specific subjectively perceived events, such as setting a goal and the process to reach a known goal. We show that HR signals events: it predicts the conception of a plan, the concrete analysis of variations or the likelihood to blunder by fluctuations before to the move, and it reflects reactions, such as a blunder made by the opponent, by fluctuations subsequent to the move. Our data demonstrate that even if HR constitutes a relatively broad marker integrating a myriad of physiological variables, its dynamic is rich enough to reveal relevant episodes of inner thought.

Extreme prices in electricity balancing markets from an approach of statistical physics

Science.gov (United States)

Mureddu, Mario; Meyer-Ortmanns, Hildegard

2018-01-01

An increase in energy production from renewable energy sources is viewed as a crucial achievement in most industrialized countries. The higher variability of power production via renewables leads to a rise in ancillary service costs over the power system, in particular costs within the electricity balancing markets, mainly due to an increased number of extreme price spikes. This study analyzes the impact of an increased share of renewable energy sources on the behavior of price and volumes of the Italian balancing market. Starting from configurations of load and power production, which guarantee a stable performance, we implement fluctuations in the load and in renewables; in particular we artificially increase the contribution of renewables as compared to conventional power sources to cover the total load. We then determine the amount of requested energy in the balancing market and its fluctuations, which are induced by production and consumption. Within an approach of agent-based modeling we estimate the resulting energy prices and costs. While their average values turn out to be only slightly affected by an increased contribution from renewables, the probability for extreme price events is shown to increase along with undesired peaks in the costs. Our methodology provides a tool for estimating outliers in prices obtained in the energy balancing market, once data of consumption, production and their typical fluctuations are provided.

High oil prices are here to stay

International Nuclear Information System (INIS)

Toennesen, Bjoern Inge

2004-01-01

The presentation discusses the development in the OPEC countries with emphasis on oil price fluctuation, spare production capacity and OPEC control. The capacity expansion in non-OPEC countries and the global demand development are also surveyed. (tk)

Causality and correlations between BSE and NYSE indexes: A Janus faced relationship

Science.gov (United States)

Neeraj; Panigrahi, Prasanta K.

2017-09-01

We study the multi-scale temporal correlations and causality connections between the New York Stock Exchange (NYSE) and Bombay Stock Exchange (BSE) monthly average closing price indexes for a period of 300 months, encompassing the time period of the liberalisation of the Indian economy and its gradual global exposure. In multi-scale analysis; clearly identifiable 1, 2 and 3 year non-stationary periodic modulations in NYSE and BSE have been observed, with NYSE commensurating changes in BSE at 3 years scale. Interestingly, at one year time scale, the two exchanges are phase locked only during the turbulent times, while at the scale of three year, in-phase nature is observed for a much longer time frame. The two year time period, having characteristics of both one and three year variations, acts as the transition regime. The normalised NYSE's stock value is found to Granger cause those of BSE, with a time lag of 9 months. Surprisingly, observed Granger causality of high frequency variations reveals BSE behaviour getting reflected in the NYSE index fluctuations, after a smaller time lag. This Janus faced relationship, shows that smaller stock exchanges may provide a natural setting for simulating market fluctuations of much bigger exchanges. This possibly arises due to the fact that high frequency fluctuations form an universal part of the financial time series, and are expected to exhibit similar characteristics in open market economies.

The price level and monetary policy

Directory of Open Access Journals (Sweden)

Charles P. Kindleberger

2002-03-01

Full Text Available Most central banks are required to or choose to stabilize a price index, largely by manipulating short term interest rates. A serious problem is which index to choose among the national income deflator, wholesale prices, the cost of living, with or eliminating highly volatile commodities such as food and energy, to produce a core index, plus others such as housing, including or without imputed rent of owner-occupied houses, or assets, whether equities or houses. No obvious and widely agreed index exists. Even if there were a clear choice, there remains a question whether a central bank should carefully consider action in order to achieve other goals: full employment, adjustment of the balance of payments, of the exchange rate, prevention of bubbles in asset prices, or recovery from financial crises. If so, the question of central bank weapons remains: monetary expansion or contraction, credit controls, for overall or for particular purposes, and moral suasion.

Modeling Philippine Stock Exchange Composite Index Using Time Series Analysis

Science.gov (United States)

Gayo, W. S.; Urrutia, J. D.; Temple, J. M. F.; Sandoval, J. R. D.; Sanglay, J. E. A.

2015-06-01

This study was conducted to develop a time series model of the Philippine Stock Exchange Composite Index and its volatility using the finite mixture of ARIMA model with conditional variance equations such as ARCH, GARCH, EG ARCH, TARCH and PARCH models. Also, the study aimed to find out the reason behind the behaviorof PSEi, that is, which of the economic variables - Consumer Price Index, crude oil price, foreign exchange rate, gold price, interest rate, money supply, price-earnings ratio, Producers’ Price Index and terms of trade - can be used in projecting future values of PSEi and this was examined using Granger Causality Test. The findings showed that the best time series model for Philippine Stock Exchange Composite index is ARIMA(1,1,5) - ARCH(1). Also, Consumer Price Index, crude oil price and foreign exchange rate are factors concluded to Granger cause Philippine Stock Exchange Composite Index.

Visibility graph network analysis of natural gas price: The case of North American market

Science.gov (United States)

Sun, Mei; Wang, Yaqi; Gao, Cuixia

2016-11-01

Fluctuations in prices of natural gas significantly affect global economy. Therefore, the research on the characteristics of natural gas price fluctuations, turning points and its influencing cycle on the subsequent price series is of great significance. Global natural gas trade concentrates on three regional markets: the North American market, the European market and the Asia-Pacific market, with North America having the most developed natural gas financial market. In addition, perfect legal supervision and coordinated regulations make the North American market more open and more competitive. This paper focuses on the North American natural gas market specifically. The Henry Hub natural gas spot price time series is converted to a visibility graph network which provides a new direction for macro analysis of time series, and several indicators are investigated: degree and degree distribution, the average shortest path length and community structure. The internal mechanisms underlying price fluctuations are explored through the indicators. The results show that the natural gas prices visibility graph network (NGP-VGN) is of small-world and scale-free properties simultaneously. After random rearrangement of original price time series, the degree distribution of network becomes exponential distribution, different from the original ones. This means that, the original price time series is of long-range negative correlation fractal characteristic. In addition, nodes with large degree correspond to significant geopolitical or economic events. Communities correspond to time cycles in visibility graph network. The cycles of time series and the impact scope of hubs can be found by community structure partition.

Indexation and causation of financial markets

CERN Document Server

Tanokura, Yoko

2015-01-01

This book presents a new statistical method of constructing a price index of a financial asset where the price distributions are skewed and heavy-tailed and investigates the effectiveness of the method. In order to fully reflect the movements of prices or returns on a financial asset, the index should reflect their distributions. However, they are often heavy-tailed and possibly skewed, and identifying them directly is not easy. This book first develops an index construction method depending on the price distributions, by using nonstationary time series analysis. Firstly, the long-term trend of the distributions of the optimal Box–Cox transformed prices is estimated by fitting a trend model with time-varying observation noises. By applying state space modeling, the estimation is performed and missing observations are automatically interpolated. Finally, the index is defined by taking the inverse Box–Cox transformation of the optimal long-term trend. This book applies the method to various financial data. ...

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...

Price expectations and petroleum development

International Nuclear Information System (INIS)

Pollio, G.; Marian, W.S.

1991-01-01

In the first section of this paper, the authors present a highly stylized model of the world oil market that explicitly incorporates both expectative and financial effects. The model generates the extremely interesting result that actual future price outcomes are inversely related to prevailing price expectations, owing to fluctuation in the level and timing of industry investment expenditure. Given the importance of price expectations, it is surprising that the topic has received such scant attention. The authors therefore present in the second section of selective survey of the various measures that have been proposed and used in the literature, as well as an assessment of the value of potentially new indices and market prices for existing hydrocarbon reserves, for example. In the final section of the paper, we discuss the extent to which financial innovation, in the form of commodity-linked products-such as swaps, caps, collars, and so forth-are transforming the oil market, enabling all market segments to manage price uncertainty far more effectively than was ever possible in the past

Analysis of Options Contract, Option Pricing in Agricultural Products

Directory of Open Access Journals (Sweden)

H. Tamidy

2016-03-01

Full Text Available Introduction: Risk is an essential component in the production and sale of agricultural products. Due to the nature of agricultural products, the people who act in this area including farmers and businesspersons encounter unpredictable fluctuations of prices. On the other hand, the firms that process agricultural products also face fluctuation of price of agricultural inputs. Given that the Canola is considered as one of the inputs of product processing factories, control of unpredictable fluctuations of the price of this product would increase the possibility of correct decision making for farmers and managers of food processing industries. The best available tool for control and management of the price risk is the use of future markets and options. It is evident that the pricing is the main pillar in every trade. Therefore, offering a fair price for the options will be very important. In fact, options trading in the options market create cost insurance stopped. In this way, which can reduce the risks of deflation created in the future, if the person entitled to the benefits of the price increase occurs in the future. Unlike the futures, market where the seller had to deliver the product on time, in the options market, there is no such compulsion. In addition, this is one of the strengths of this option contract, because if there is not enough product for delivery to the futures market as result of chilling, in due course, the farmers suffer, but in the options market there will be a loss. In this study, the setup options of rape, as a product, as well as inputs has been paid for industry. Materials and Methods: In this section. The selection criteria of the disposal of asset base for valuation of European put options and call option is been introduced. That for obtain this purpose, some characteristics of the goods must considered: 1-Unpredictable fluctuations price of underlying asset 2 -large underlying asset cash market 3- The possibility

Analysis of the Robustness of Australia Economy and Energy Supply/Demand Fluctuation

Directory of Open Access Journals (Sweden)

Aslani Alireza

2017-10-01

Full Text Available Energy has a strategic role in social and economic development of the countries. Due to the high dependency of energy supply to fossil fuels, fluctuations in prices and supply have macro/micro-economics effects for both energy exporters and importers. Therefore, understanding economic stability based on energy market changes is an important subject for policy makers and researchers. As the competitiveness of Australia products/services has high dependency on energy prices, analyzing the relationships of economics robustness with fossil fuel fluctuations is important for the policy makers and researchers. In this paper, the researchers investigate the effects of energy changes on Australian economics. In this regard, first, the impact of oil price on macro-economic parameters is discussed. After that, the main issues related to energy economics including resilience of the energy sector, energy policies, economics analysis of the energy sector, electricity markets are discussed.

Dynamics relationship between stock prices and economic variables in Malaysia

Science.gov (United States)

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

2014-07-01

Knowledge on linkages between stock prices and macroeconomic variables are essential in the formulation of effective monetary policy. This study investigates the relationship between stock prices in Malaysia (KLCI) with four selected macroeconomic variables, namely industrial production index (IPI), quasi money supply (MS2), real exchange rate (REXR) and 3-month Treasury bill (TRB). The variables used in this study are monthly data from 1996 to 2012. Vector error correction (VEC) model and Kalman filter (KF) technique are utilized to assess the impact of macroeconomic variables on the stock prices. The results from the cointegration test revealed that the stock prices and macroeconomic variables are cointegrated. Different from the constant estimate from the static VEC model, the KF estimates noticeably exhibit time-varying attributes over the entire sample period. The varying estimates of the impact coefficients should be better reflect the changing economic environment. Surprisingly, IPI is negatively related to the KLCI with the estimates of the impact slowly increase and become positive in recent years. TRB is found to be generally negatively related to the KLCI with the impact fluctuating along the constant estimate of the VEC model. The KF estimates for REXR and MS2 show a mixture of positive and negative impact on the KLCI. The coefficients of error correction term (ECT) are negative in majority of the sample period, signifying the stock prices responded to stabilize any short term deviation in the economic system. The findings from the KF model indicate that any implication that is based on the usual static model may lead to authorities implementing less appropriate policies.

The effects of oil price on regional economies with different production structures: A case study from Korea using a structural VAR model

International Nuclear Information System (INIS)

Park, Chuhwan; Chung, Mo; Lee, Sukgyu

2011-01-01

This study analyzes the effects of oil price fluctuations on regional macroeconomic variables with a structural VAR model. We classified fifteen metropolitan cities and provinces of Korea into four major regions (Capital, Central, Honam, and Gyeongsang) and examined the effects of oil price fluctuations on the economy of these regions. The results in the short- and long-term lag structures show a negative response to industrial production and price. The Capital region is less affected by oil price fluctuations than the other three provincial regions. We concluded that the government should focus on creating an industrial environment to accumulate production factors and technologies in oil price-sensitive regions. - Highlights: ► We examined the effects of oil price shocks on four major economic areas of South Korea. ► We used structural VAR analysis. ► We showed that the production structure of a region influences the impact of oil price shocks. ► We inference that the government should focus on creating an industrial environment.

Gasoline prices and the public interest

International Nuclear Information System (INIS)

1997-12-01

The concerns that have been raised about gasoline prices in Newfoundland were addressed and the reasons why they differ significantly from one part of Newfoundland to another were examined. A research and investigation program was established to identify the factors contributing to the price of, and price variation in gasoline sold in the province. Companies directly involved in the gasoline retail business in the province were invited to answer an extensive questionnaire which asked detailed, confidential information concerning the company's operations. This report contains the results of the analysis of the responses, and provides a comprehensive picture of the operation of the petroleum industry. It also contains a series of recommendations for the government with respect to monitoring price fluctuations, gathering data about the industry, and constructing an independently owned and operated terminal storage facility. The report recommends against direct regulation. tabs., figs

Parabolic Free Boundary Price Formation Models Under Market Size Fluctuations

KAUST Repository

Markowich, Peter A.; Teichmann, Josef; Wolfram, Marie Therese

2016-01-01

In this paper we propose an extension of the Lasry-Lions price formation model which includes uctuations of the numbers of buyers and vendors. We analyze the model in the case of deterministic and stochastic market size uctuations and present

Oil prices and economic growth

International Nuclear Information System (INIS)

Babusiaux, D.; Lescaroux, F.

2006-01-01

There is no limit to the sources of hydrocarbons (whether pumped out of the earth or produced in factories) for the next few decades, but there is and will be a need for increasingly complex and costly techniques as the usual sources of petroleum run out. Does this mean that prices will keep on rising? Probably, since environmental costs must be added onto direct costs. The mining of oil out of 'tar sands', for example, or the production of hydrocarbons by the chemical industry will have a significant impact owing to the emission of greenhouse gases. If prices do rise in the short or middle term, the cause will have to do more with the calendar of investments than with the availability of energy and its costs. In the long run however, price hikes are not all that certain. A few points for analyzing and predicting the macro-and micro-economic effects of fluctuating oil prices are discussed. (author)

Price and Availability of Sugar-Free, Sugar-Reduced and Low Glycemic Index Cereal Products in Northwestern México.

Science.gov (United States)

Arámburo-Gálvez, Jesús G; Ontiveros, Noé; Vergara-Jiménez, Marcela J; Magaña-Ordorica, Dalia; Gracia-Valenzuela, Martina H; Cabrera-Chávez, Francisco

2017-12-18

Sugar-free (SF), sugar-reduced (SR), or low-glycemic-index (low GI) cereal products could be helpful for the dietary treatment of disorders related to glucose homeostasis. However, access and economic aspects are barriers that could hamper their consumption. Thus, the availability and price of such cereal products were evaluated in Northwestern México. The products were categorized in 10 groups. The data were collected in five cities by store visitation (from November 2015 to April 2016). The availability in specialized stores and supermarkets was expressed as availability rates based on the total number of products. The price of the SF, SR, and low GI products were compared with their conventional counterparts. Availability rates were higher in supermarkets than in specialized stores by product numbers (14.29% versus 3.76%, respectively; p snacks, and tostadas/totopos) had higher prices than their conventional counterparts ( p < 0.05). In conclusion, in Northwestern Mexico, the availability of SF, SR, and low GI cereal-based foods is relatively low, and these foods are more expensive than their conventional counterparts.

Modeling and complexity of stochastic interacting Lévy type financial price dynamics

Science.gov (United States)

Wang, Yiduan; Zheng, Shenzhou; Zhang, Wei; Wang, Jun; Wang, Guochao

2018-06-01

In attempt to reproduce and investigate nonlinear dynamics of security markets, a novel nonlinear random interacting price dynamics, which is considered as a Lévy type process, is developed and investigated by the combination of lattice oriented percolation and Potts dynamics, which concerns with the instinctive random fluctuation and the fluctuation caused by the spread of the investors' trading attitudes, respectively. To better understand the fluctuation complexity properties of the proposed model, the complexity analyses of random logarithmic price return and corresponding volatility series are preformed, including power-law distribution, Lempel-Ziv complexity and fractional sample entropy. In order to verify the rationality of the proposed model, the corresponding studies of actual security market datasets are also implemented for comparison. The empirical results reveal that this financial price model can reproduce some important complexity features of actual security markets to some extent. The complexity of returns decreases with the increase of parameters γ1 and β respectively, furthermore, the volatility series exhibit lower complexity than the return series

Modeling Long-term Behavior of Stock Market Prices Using Differential Equations

Science.gov (United States)

Yang, Xiaoxiang; Zhao, Conan; Mazilu, Irina

2015-03-01

Due to incomplete information available in the market and uncertainties associated with the price determination process, the stock prices fluctuate randomly during a short period of time. In the long run, however, certain economic factors, such as the interest rate, the inflation rate, and the company's revenue growth rate, will cause a gradual shift in the stock price. Thus, in this paper, a differential equation model has been constructed in order to study the effects of these factors on the stock prices. The model obtained accurately describes the general trends in the AAPL and XOM stock price changes over the last ten years.

Application of Markov Model in Crude Oil Price Forecasting

Directory of Open Access Journals (Sweden)

Nuhu Isah

2017-08-01

Full Text Available Crude oil is an important energy commodity to mankind. Several causes have made crude oil prices to be volatile. The fluctuation of crude oil prices has affected many related sectors and stock market indices. Hence, forecasting the crude oil prices is essential to avoid the future prices of the non-renewable natural resources to rise. In this study, daily crude oil prices data was obtained from WTI dated 2 January to 29 May 2015. We used Markov Model (MM approach in forecasting the crude oil prices. In this study, the analyses were done using EViews and Maple software where the potential of this software in forecasting daily crude oil prices time series data was explored. Based on the study, we concluded that MM model is able to produce accurate forecast based on a description of history patterns in crude oil prices.

Comparison of China's oil import risk. Results based on portfolio theory and a diversification index approach

International Nuclear Information System (INIS)

Wu, Gang; Liu, Lan-Cui; Wei, Yi-Ming

2009-01-01

In recent years, the international oil price has fluctuated violently, bringing about huge risk for the international oil trade. In fact, the risk of crude oil and petroleum product imports is different because of the different import origins and prices. Which import risk is lower for China? From the perspective of oil supply security, how should China portfolio crude oil and petroleum product imports to minimize its oil import risk? Using portfolio theory and a diversification index approach, this paper compares and analyzes the supply, price and transport risks of crude oil and petroleum product imports. Our results show that the following: (1) Specific risk (diversification risk) and marine transport risk of China's petroleum product imports are lower than that of crude oil imports. (2) The average rate of return of China's petroleum product imports is higher than that of crude oil imports. Moreover, the average import price variance of petroleum product imports is lower than that of crude oil imports. Thus, the systematic risk (price risk) of petroleum products is lower too. Therefore, from the perspective of oil supply security, China should increase petroleum product imports to decrease its oil import risk. (author)

A statistical analysis of product prices in online markets

Science.gov (United States)

Mizuno, T.; Watanabe, T.

2010-08-01

We empirically investigate fluctuations in product prices in online markets by using a tick-by-tick price data collected from a Japanese price comparison site, and find some similarities and differences between product and asset prices. The average price of a product across e-retailers behaves almost like a random walk, although the probability of price increase/decrease is higher conditional on the multiple events of price increase/decrease. This is quite similar to the property reported by previous studies about asset prices. However, we fail to find a long memory property in the volatility of product price changes. Also, we find that the price change distribution for product prices is close to an exponential distribution, rather than a power law distribution. These two findings are in a sharp contrast with the previous results regarding asset prices. We propose an interpretation that these differences may stem from the absence of speculative activities in product markets; namely, e-retailers seldom repeat buy and sell of a product, unlike traders in asset markets.

Design and implementation of ticket price forecasting system

Science.gov (United States)

Li, Yuling; Li, Zhichao

2018-05-01

With the advent of the aviation travel industry, a large number of data mining technologies have been developed to increase profits for airlines in the past two decades. The implementation of the digital optimization strategy leads to price discrimination, for example, similar seats on the same flight are purchased at different prices, depending on the time of purchase, the supplier, and so on. Price fluctuations make the prediction of ticket prices have application value. In this paper, a combination of ARMA algorithm and random forest algorithm is proposed to predict the price of air ticket. The experimental results show that the model is more reliable by comparing the forecasting results with the actual results of each price model. The model is helpful for passengers to buy tickets and to save money. Based on the proposed model, using Python language and SQL Server database, we design and implement the ticket price forecasting system.

Is there any connection between the network morphology and the fluctuations of the stock market index?

Science.gov (United States)

Stefan, F. M.; Atman, A. P. F.

2015-02-01

Models which consider behavioral aspects of the investors have attracted increasing interest in the Finance and Econophysics literature in the last years. Different behavioral profiles (imitation, anti-imitation, indifference) were proposed for the investors, which take their decision based on their trust network (neighborhood). Results from agent-based models have shown that most of the features observed in actual stock market indices can be replicated in simulations. Here, we present a deeper investigation of an agent based model considering different network morphologies (regular, random, small-world) for the investors' trust network, in an attempt to answer the question raised in the title. We study the model by considering four scenarios for the investors and different initial conditions to analyze their influence in the stock market fluctuations. We have characterized the stationary limit for each scenario tested, focusing on the changes introduced when complex networks were used, and calculated the Hurst exponent in some cases. Simulations showed interesting results suggesting that the fluctuations of the stock market index are strongly affected by the network morphology, a remarkable result which we believe was never reported or predicted before.

Bayesian Option Pricing using Mixed Normal Heteroskedasticity Models

DEFF Research Database (Denmark)

Rombouts, Jeroen; Stentoft, Lars

2014-01-01

Option pricing using mixed normal heteroscedasticity models is considered. It is explained how to perform inference and price options in a Bayesian framework. The approach allows to easily compute risk neutral predictive price densities which take into account parameter uncertainty....... In an application to the S&P 500 index, classical and Bayesian inference is performed on the mixture model using the available return data. Comparing the ML estimates and posterior moments small differences are found. When pricing a rich sample of options on the index, both methods yield similar pricing errors...... measured in dollar and implied standard deviation losses, and it turns out that the impact of parameter uncertainty is minor. Therefore, when it comes to option pricing where large amounts of data are available, the choice of the inference method is unimportant. The results are robust to different...

Does PPP hold for Big Mac price or consumer price index? Evidence from panel cointegration

OpenAIRE

Chien-Fu Chen; Chung-Hua Shen; Chien-An Wang

2007-01-01

This paper examines the validity of purchasing power parity (PPP) using CPI and Big Mac prices. The benchmark model, i.e., the OLS method, which does not take nonstationarity into account, rejects the hypothesis of PPP regardless of prices used. We next use the panel cointegration method to consider the nonstationary nature of variables. Estimated results for CPI are mixed. The PPP is rejected when the nominal exchange rate is employed as the dependent variable but is not rejected when the pr...

1 CFR 11.7 - Federal Register Index.

Science.gov (United States)

2010-01-01

... 1 General Provisions 1 2010-01-01 2010-01-01 false Federal Register Index. 11.7 Section 11.7... REGISTER PUBLICATIONS SUBSCRIPTIONS § 11.7 Federal Register Index. The annual subscription price for the monthly Federal Register Index, purchased separately, in paper form, is $29. The price excludes postage...

Electricity price and Southern California's water supply options

Energy Technology Data Exchange (ETDEWEB)

Dale, Larry [Lawrence Berkeley National Laboratory, Camilla Dunham Whitehead, Andre Fargeix, Golden Gate Economics, 1 Cycltron Road, Berkeley, CA 94720 (United States)

2004-11-01

This paper evaluates the impact of fluctuating electricity prices on the cost of five options to increase the water supply to urban areas in Southern California-new surface storage, water purchases, desalination, wastewater recycling, and conservation.We show that the price of electricity required to produce and transport water influences the cost of water supply options and may alter the decision makers economic ranking of these options. When electricity prices are low, water purchase is the cost effective option. When prices exceed US$ 86/MWh, conservation of electricity and water through installation of high efficiency clothes washers is the most effective option.

Asymmetric statistical features of the Chinese domestic and international gold price fluctuation

Science.gov (United States)

Cao, Guangxi; Zhao, Yingchao; Han, Yan

2015-05-01

Analyzing the statistical features of fluctuation is remarkably significant for financial risk identification and measurement. In this study, the asymmetric detrended fluctuation analysis (A-DFA) method was applied to evaluate asymmetric multifractal scaling behaviors in the Shanghai and New York gold markets. Our findings showed that the multifractal features of the Chinese and international gold spot markets were asymmetric. The gold return series persisted longer in an increasing trend than in a decreasing trend. Moreover, the asymmetric degree of multifractals in the Chinese and international gold markets decreased with the increase in fluctuation range. In addition, the empirical analysis using sliding window technology indicated that multifractal asymmetry in the Chinese and international gold markets was characterized by its time-varying feature. However, the Shanghai and international gold markets basically shared a similar asymmetric degree evolution pattern. The American subprime mortgage crisis (2008) and the European debt crisis (2010) enhanced the asymmetric degree of the multifractal features of the Chinese and international gold markets. Furthermore, we also make statistical tests for the results of multifractatity and asymmetry, and discuss the origin of them. Finally, results of the empirical analysis using the threshold autoregressive conditional heteroskedasticity (TARCH) and exponential generalized autoregressive conditional heteroskedasticity (EGARCH) models exhibited that good news had a more significant effect on the cyclical fluctuation of the gold market than bad news. Moreover, good news exerted a more significant effect on the Chinese gold market than on the international gold market.

The Impact of Macroeconomic Fundamentals on Stock Prices Revisited: Evidence from Indian Data

Directory of Open Access Journals (Sweden)

Pramod Kumar NAIK

2012-11-01

Full Text Available The study investigates the relationships between the Indian stock market index (BSE Sensex and five macroeconomic variables, namely, industrial production index, wholesale price index, money supply, treasury bills rates and exchange rates over the period 1994:04–2011:06. Johansen’s co-integration and vector error correction model have been applied to explore the long-run equilibrium relationship between stock market index and macroeconomic variables. The analysis reveals that macroeconomic variables and the stock market index are co-integrated and, hence, a long-run equilibrium relationship exists between them. It is observed that the stock prices positively relate to the money supply and industrial production but negatively relate to inflation. The exchange rate and the short-term interest rate are found to be insignificant in determining stock prices. In the Granger causality sense, macroeconomic variable causes the stock prices in the long-run but not in the short-run. There is bidirectional causality exists between industrial production and stock prices whereas, unidirectional causality from money supply to stock price, stock price to inflation and interest rates to stock prices are found.

Keynes, population, and equity prices.

Science.gov (United States)

Tarascio, V J

1985-01-01

Keynes in 1937 examined the phenomenon of the Great Depression from a longrun perspective in contradiction to the "General Theory," where the focus was on the shortrun. "Some Economic Consequences of a Declining Population," Keynes' article, reveals the context in which the "General Theory" was written. In the "General Theory," the focus is on short-term fluctuations, i.e., business cycles, but Keynes fails to provide any theoretical explanation as to why the depression of the 1930s was so severe and intractable. In the 1937 article, the depression is seen as the result of the combined effects of a decline in longrun growth due to population growth decline and a shortrun cyclical decline, together producing severe economic consequences. What is important for the purposes of this discussion is the implication, within the context of the 1937 article, that not only was the stock market crash of 1929 related to population change (with its accompanying collapse in expectations) but that, in general, changes in the rate of growth of population are accompanied by stock price movements in the same direction. The remainder of the discussion is devoted to a simple empirical test of this relationship. The data used are population size (POP), defined as the total residential population in the US from 1870-1979, and the Standard and Poor 500 Stock index (SP) for the corresponding 109-year period. In addition, a 3rd series was constructed, a price deflated Standard and Poor index (RSP) with a base period of 1870, to account for possible inflationary distortion of the index. The empirical results do not invalidate the hypothesis that population growth rates affect equity markets. In fact, there seems to be strong evidence that they are related in a manner suggestive of Keynes' intutition, namely, that the stock market crash of 1929 was due to factors more fundamental than those often perceived from a shortrun perspective. According to Keynes (1937), population is the most

Proposed currency composite approach to pricing OPEC oil: problems and possibilities

Energy Technology Data Exchange (ETDEWEB)

Shaaf, M.B.

1982-01-01

The primary purpose of this dissertation was to explore the nature, purposes, benefits, and barriers of establishing a currency basket for OPEC as an alternative to the use the dollar for international trade in oil. The study included the construction and evaluation of three alternative currency baskets and the evaluation of two other baskets for the protection of the real price of OPEC oil from foreign-exchange fluctuations between 1971 and 1980. A secondary objective was to assess the inflationary impact on the real price of oil. Finally, the purpose was to evaluate the changes of the terms of trade of OPEC during the same period. The findings of the research are as follows: During 1971-1980, inflation and the relative weakness of the dollar have reduced the real price of oil to OPEC. In spite of this, the terms of trade of OPEC have substantially improved. This was because OPEC increased its oil prices much more than sufficient to compensate for inflation and the fluctuation of foreign-exchange rates.

Essays in the Application of Linear and Non-linear Bayesian VAR Models to the Macroeconomic Impacts of Energy Price Shocks

Science.gov (United States)

Nguyen, Bao H.

effects of world energy price shocks on China's macroeconomy. We propose a new index of primary commodity energy prices which accurately reflects both the structure of China's energy expenditure shares, as well as intertemporal fluctuations in international energy prices. The index is then in employed a sufficiently rich set of time varying BVARs, identified by a new set of agnostic sign restrictions. Uniformly sized positive energy price shocks are shown to consistently generate economic stagflation over the past two decades. Chapter 5 compares the macroeconomic effects of global oil and iron ore price shocks on the Australian economy. The main results suggest that, over the period 1990Q1 to 2014Q4, the oil shock has a relative larger impact than that of the iron ore shock on output and inflation while the iron ore shock is the dominant source of interest and exchange rate movements. The effects crucially depend on the underlying sources of oil or iron ore price shifts.

Spatial behavior of prices in the Russian Federation in 2003–2012

Directory of Open Access Journals (Sweden)

Anna Vladimirovna Stupnikova

2014-07-01

Full Text Available The heterogeneity of economic development and specifics of the spatial position of regions implies that the regional markets in the country are characterized by varying degrees and trends of price dynamics. The multidirectional and disproportionate changes in the prices in the regional markets, in turn, show that integration in the national market is poor. The work presents the results of research into the spatial behavior of prices in the Russian Federation in 2003–2012, carried out mainly using the descriptive analysis of consumer prices based on the identification of the measures of dispersion of price indicators – standard deviation and the range of variation. The analysis of consumer price indices dynamics shows that the year 2008 is a period of greatest price growth, and also proves that the prices for services and foodstuffs are subject to the highest fluctuations. The analysis of the prices for the fixed set of goods and services shows that consumer prices in the Russian Federation subjects during the analyzed period changed unevenly; however, beginning from 2009 there is a positive trend of reducing fluctuations in their growth rates. The assessment of the spatial dynamics of consumer prices in Russia in 2003–2012 reveals the regions that deviate from the general trend of price behavior to the greatest extent. Judging by the results of the assessment, the greatest differences in prices were observed in the subjects of the Far Eastern Federal District (FEFD. Another important fact is as follows: the high volatility of food prices was observed not only in the remote regions, but also in the neighboring subjects of the Far Eastern Federal District; it allows us to assume that the integration of the food market of the border regions of the district at the national level is poor

Effects of house prices on health: New evidence from Australia.

Science.gov (United States)

Atalay, Kadir; Edwards, Rebecca; Liu, Betty Y J

2017-11-01

Recent house price variation has strongly affected households' housing wealth and debt, yet the non-economic consequences of these changes in housing wealth are still poorly understood. Using a sample of 19,000 individuals from the Household, Income and Labour Dynamics in Australia Survey (HILDA) for 2001-2015, we examine the relationship between house price fluctuations and individual health by exploiting large exogenous changes in house prices in Australia. We find that an increase in local house prices is associated with a positive effect on the physical health of outright owners and a negative effect on the physical and mental health of renters. Improvements in physical health for outright owners can be partially attributed to health-related investments and behaviours such as a reduction in weight, an increase in physical exercise and an increase in time allocated to home production. These findings support the presence of a health-wealth gradient through the wealth mechanism distinct from the effects of local area amenities and macroeconomic conditions. Our findings highlight some of the often-overlooked social impacts - both positive and negative - of fluctuations in the housing market. Copyright © 2017 Elsevier Ltd. All rights reserved.

Adaptation of warrant price with Black Scholes model and historical volatility

Science.gov (United States)

Aziz, Khairu Azlan Abd; Idris, Mohd Fazril Izhar Mohd; Saian, Rizauddin; Daud, Wan Suhana Wan

2015-05-01

This project discusses about pricing warrant in Malaysia. The Black Scholes model with non-dividend approach and linear interpolation technique was applied in pricing the call warrant. Three call warrants that are listed in Bursa Malaysia were selected randomly from UiTM's datastream. The finding claims that the volatility for each call warrants are different to each other. We have used the historical volatility which will describes the price movement by which an underlying share is expected to fluctuate within a period. The Black Scholes model price that was obtained by the model will be compared with the actual market price. Mispricing the call warrants will contribute to under or over valuation price. Other variables like interest rate, time to maturity date, exercise price and underlying stock price are involves in pricing call warrants as well as measuring the moneyness of call warrants.

What Can Rational Investors Do About Excessive Volatility and Sentiment Fluctuations?

OpenAIRE

Bernard Dumas; Alexander Kurshev; Raman Uppal

2005-01-01

Our objective is to understand the trading strategy that would allow an investor to take advantage of 'excessive' stock price volatility and 'sentiment' fluctuations. We construct a general equilibrium model of sentiment. In it, there are two classes of agents and stock prices are excessively volatile because one class is overconfident about a public signal. As a result, this class of irrational agents changes its expectations too often, sometimes being excessively optimistic, sometimes being...

Study on Stochastic Optimal Electric Power Procurement Strategies with Uncertain Market Prices

Science.gov (United States)

Sakchai, Siripatanakulkhajorn; Saisho, Yuichi; Fujii, Yasumasa; Yamaji, Kenji

The player in deregulated electricity markets can be categorized into three groups of GENCO (Generator Companies), TRNASCO (Transmission Companies), DISCO (Distribution Companies). This research focuses on the role of Distribution Companies, which purchase electricity from market at randomly fluctuating prices, and provide it to their customers at given fixed prices. Therefore Distribution companies have to take the risk stemming from price fluctuation of electricity instead of the customers. This entails the necessity to develop a certain method to make an optimal strategy for electricity procurement. In such a circumstance, this research has the purpose for proposing the mathematical method based on stochastic dynamic programming to evaluate the value of a long-term bilateral contract of electricity trade, and also a project of combination of the bilateral contract and power generation with their own generators for procuring electric power in deregulated market.

The Cost of SOx Limits to Marine Operators; Results from Exploring Marine Fuel Prices

Directory of Open Access Journals (Sweden)

Orestis Schinas

2013-06-01

Full Text Available Marine operators are confronted with the new air emissions regulations that determine the limits of sulfur content in marine fuels. The low-sulfur (LS marine fuels have a higher price, and their fluctuation is almost similar to the fluctuation of high-sulfur (HS fuels. The price difference between HS and LS might also determine the decision of operators for alternative technical means, such as scrubbers, in order to comply with the new limits. This paper aims to provide a thorough statistical analysis of the currently available LS and HS marine fuels time series, as well as to present the analysis of the differential of the HS and LS fuel prices. The paper concludes with suggestions for further research.

The Cushing OK Crude Oil Futures Price Pass - Through to New York Harbor Reformulated RBOB Regular Gasoline Futures Price

Directory of Open Access Journals (Sweden)

Chu V. Nguyen

2017-04-01

Full Text Available This study utilizes an Autoregressive Distributed Lag model to investigate the nature of crude oil futures price pass-through since 2006. The empirical results reveal a very high but incomplete short-run pass-through rate from the crude oil futures price to the gasoline futures price of 0.849298 with a corresponding negative long-run pass-through rate of -0.2440894. These empirical findings suggest that traders in the U.S. oil and gasoline futures markets overreact to fluctuations in the crude oil futures price as evidenced by subsequent corrections made over the sample period. The result of the bounds test for a long-term relationship between these two futures prices is inconclusive. The empirical findings further suggest that U.S. futures market traders considered futures prices of gasoline three weeks earlier in determining the current trading price while taking only one week to respond completely to the shock in the crude oil futures price.  The empirical findings of this investigation may address the core elements of the price dynamics of the crude oil and gasoline futures markets and advance inquiry into assessment tools that could manage a very complex market challenge, especially for policy makers in countries with transitional economies in Eastern Europe, Caucasus and Central Asia.

Oil prices and financial stress: A volatility spillover analysis

International Nuclear Information System (INIS)

Nazlioglu, Saban; Soytas, Ugur; Gupta, Rangan

2015-01-01

This paper examines whether there is a volatility transmission between oil prices and financial stress by means of the volatility spillover test. We employ WTI crude oil prices and Cleveland financial stress index for the period 1991–2014 and divide the sample into pre-crisis, in-crisis, and post-crisis periods due to the downward trend in oil price in 2008. The volatility model estimations indicate that oil prices and financial stress index are dominated by long-run volatility. The volatility spillover causality test supports evidence on risk transfer from oil prices to financial stress before the crisis and from financial stress to oil prices after the crisis. The impulse response analysis shows that the volatility transmission pattern has similar dynamics before and after the crisis and is characterized by higher and long-lived effects during the crisis. Our results have implications for both policy makers and investors, and for future work. -- Highlights: •Volatility spillover between oil prices and financial stress index is examined. •Analysis is conducted for sub-periods: pre-crisis, in-crisis, and post-crisis •Oil prices spill on financial stress before the crisis, but spillover reversed after the crisis. •Volatility transmission pattern has similar dynamics before and after the crisis. •Implications for investors and policy makers are discussed

DOMESTIC AND FORIGN FACTORS FOR STOCK PRICES IN INDONESIA

Directory of Open Access Journals (Sweden)

Rahajeng Cahyaning Putri Cipto

2011-09-01

Full Text Available Indonesia has been developing various sectors of its economy, and so it needs a huge amount of capital. Therefore, it has been putting a lot of efforts to develop its capital market. This paper analyzes the impacts of domestic and foreign factors on Indonesia stock price. Some considered domestic factors are interest rates, production index, and foreign exchange rates. Various considered foreign factors are Singapore and US stock prices. The paper uses Vector Error Correction Mechanism model to analyze the data. The estimation results suggest that all variables significantly influence Indonesia stock price, with Singapore stock price as the dominant factors.Keywords: Stock price, interest rates, exchange rates, production indexJEL classification numbers: G12, G15

Do investment-specific technological changes matter for business fluctuations? Evidence from Japan

OpenAIRE

Hirose, Yasuo; Kurozumi, Takushi

2011-01-01

The observed decline in the relative price of investment goods to consumption goods in Japan suggests the existence of investment-specific technological (IST) changes. We examine whether IST changes are a major source of business fluctuations in Japan, by estimating a dynamic stochastic general equilibrium model with Bayesian methods. We show that IST changes are less important than neutral technological changes in explaining output fluctuations. We also demonstrate that investment fluctuatio...

Analysis for probability of irradiance fluctuation; Nissha hendo kakuritsu no bunseki

Energy Technology Data Exchange (ETDEWEB)

Minowa, J; Kurokawa, K [Tokyo University of Agriculture and Technology, Tokyo (Japan); Otani, K; Sakuta, K [Electrochemical Laboratory, Tsukuba (Japan)

1996-10-27

Distribution of probabilities of solar radiation fluctuation was examined to learn the fluctuation in photovoltaic power generation efficiency for the purpose of improving on the generation system. The measuring setup comprised one base station and nine terminal stations. The terminal stations were arrayed in lattice so that a 4km{times}4km-large area would be covered. The standard deviation in solar radiation fluctuation at an observation spot ANNE stayed constant at approximately 0.1kW/m{sup 2} at all observation hours. In the vicinity of a clearness index range of 0.5-0.6 (a higher index showing a clearer weather) in the daytime, the index fluctuated very much, predicting a half-clear sky with scattered cloud. In the range of 0.2-0.3, fluctuation was small. In the range of 0.6-0.7, fluctuation was small and solar radiation was stable under the clear sky. The scope of fluctuation in the areal average is smaller than that in the average at each of the terminal stations, which is explained by the even-out effect. This means that, if multiple PV systems concentratedly introduced into one region are appropriately coordinated, the outputs from the individual PV systems that are naturally inconsistent are evened out and that the reliability of the network as a whole is consequently enhanced. 5 refs., 7 figs., 1 tab.

Designing an agricultural vegetative waste-management system under uncertain prices of treatment-technology output products.

Science.gov (United States)

Broitman, D; Raviv, O; Ayalon, O; Kan, I

2018-05-01

Setting up a sustainable agricultural vegetative waste-management system is a challenging investment task, particularly when markets for output products of waste-treatment technologies are not well established. We conduct an economic analysis of possible investments in treatment technologies of agricultural vegetative waste, while accounting for fluctuating output prices. Under a risk-neutral approach, we find the range of output-product prices within which each considered technology becomes most profitable, using average final prices as the exclusive factor. Under a risk-averse perspective, we rank the treatment technologies based on their computed certainty-equivalent profits as functions of the coefficient of variation of the technologies' output prices. We find the ranking of treatment technologies based on average prices to be robust to output-price fluctuations provided that the coefficient of variation of the output prices is below about 0.4, that is, approximately twice as high as that of well-established recycled-material markets such as glass, paper and plastic. We discuss some policy implications that arise from our analysis regarding vegetative waste management and its associated risks. Copyright © 2018 Elsevier Ltd. All rights reserved.

Economic analysis of coal price-electricity price adjustment in China based on the CGE model

International Nuclear Information System (INIS)

He, Y.X.; Zhang, S.L.; Yang, L.Y.; Wang, Y.J.; Wang, J.

2010-01-01

In recent years, coal price has risen rapidly, which has also brought a sharp increase in the expenditures of thermal power plants in China. Meantime, the power production price and power retail price have not been adjusted accordingly and a large number of thermal power plants have incurred losses. The power industry is a key industry in the national economy. As such, a thorough analysis and evaluation of the economic influence of the electricity price should be conducted before electricity price adjustment is carried out. This paper analyses the influence of coal price adjustment on the electric power industry, and the influence of electricity price adjustment on the macroeconomy in China based on computable general equilibrium models. The conclusions are as follows: (1) a coal price increase causes a rise in the cost of the electric power industry, but the influence gradually descends with increase in coal price; and (2) an electricity price increase has an adverse influence on the total output, Gross Domestic Product (GDP), and the Consumer Price Index (CPI). Electricity price increases have a contractionary effect on economic development and, consequently, electricity price policy making must consequently consider all factors to minimize their adverse influence.

The impacts of petroleum price fluctuations on income distribution across ethnic groups in Malaysia

NARCIS (Netherlands)

Saari, M. Yusof; Dietzenbacher, Erik; Los, Bart

2016-01-01

Crude oil price hikes have compelled governments of developing countries to let domestic prices of energy increase. Fiscal priorities made it impossible to fully compensate the hikes by raising energy subsidies. This paper examines the potential impacts of a limited deregulation of the petroleum

SELECTING THE WAY OF MEASURING THE PRICE EVOLUTION USING THE METHOD OF INDICES

Directory of Open Access Journals (Sweden)

Mihai GHEORGHE

2012-09-01

Full Text Available The price indices have a long history and a large variety of uses, from the adjustment of the wages, pensions and payments included in a long-term contract, the deflation of aggregates in National Accounts, to the elaboration of economic policies.Having identified the purpose of the index, we`ll have to choose the target index and the calculation formula, this operation being carried out based on the observed prices and on the quantity and quality weights.In the statistical practice, the price index is often calculated by aggregating the elementary indices using the weighted arithmetic mean, using annual weights from a period that is previous to the reference period.In this situation, the question about the possible impact of the weights update (by prices on the interpretation of price indices becomes legitimate, also the question about the influence of using this approach on measuring the price change. We can get a possible answer to this question using the Lowe and Young indices introduced by the Consumer Price Index international manual.

Solutions for wood-based bio-energy price discovery

Energy Technology Data Exchange (ETDEWEB)

Teraes, Timo [FOEX Indexes Ltd., Helsinki (Finland)], e-mail: timo@foex.fi

2012-11-01

Energy prices are highly volatile. This volatility can have serious ill-effects on the profitability of companies engaged in the energy business. There are, however, a number of price risk management tools which can be used to reduce the problems caused by price volatility. International trade of wood pellets and wood chips is rapidly growing. A good price transparency helps in developing the trade further. In order to meet the renewable energy targets within the EU, further growth of volumes is needed, at least within Europe and from overseas supply sources to the European markets. Reliable price indices are a central element in price risk management and in general price discovery. Exchanges have provided, in the past, the most widely known price discovery systems. Since 1990's, an increasing number of price risk management tools has been based on cash settlement concept. Cash settlement requires high quality benchmark price indices. These have been developed by the exchanges themselves, by trade press and by independent price benchmark provider companies. The best known of these benchmarks in forest industry and now also in wood-based bioenergy products are the PIX indices, provided by FOEX Indexes Ltd. This presentation discusses the key requirements for a good price index and the different ways of using the indices. Price relationships between wood chip prices and pellet prices are also discussed as will be the outlook for the future volume growth and trade flows in woodchips and pellets mainly from the European perspective.

Housing demand or money supply? A new Keynesian dynamic stochastic general equilibrium model on China's housing market fluctuations

Science.gov (United States)

Wen, Xing-Chun; He, Ling-Yun

2015-08-01

There is a bitter controversy over what drives the housing price in China in the existing literature. In this paper, we investigate the underlying driving force behind housing price fluctuations in China, especially focusing on the role of housing demand shock with that of money supply shock in explaining housing price movements, by a new Keynesian dynamic stochastic general equilibrium model. Empirical results suggest that it is housing demand, instead of money supply, that mainly drives China's housing price movements. Relevant policy implication is further discussed, namely, whether to consider the housing price fluctuations in the conduct of monetary policy. By means of the policy simulations, we find that a real house price-augmented money supply rule is a better monetary policy for China's economy stabilization. 1. Investment refers to fixed capital investment. 2. Housing price refers to national average housing price. Quarterly data on housing price during the period of our work are not directly available. However, monthly data of the value of sales on housing and sale volume on housing can be directly obtained from National Bureau of Statistics of China. We add up the monthly data and calculate one quarter's housing price by dividing the value of housing sales by its sale volume in one quarter. 3. M2 means the broad money supply in China.

Structural change and forecasting long-run energy prices

International Nuclear Information System (INIS)

Bernard, J.T.; Khalaf, L.

2004-01-01

Fluctuating energy prices have a significant impact on the economies of industrialized nations. A recent study has shown a strong non-linear relationship between changes in oil prices and growth in gross domestic product (GDP). In order to forecast the behaviour of energy prices, a complete model must take into account domestic and international supply and demand conditions, market regulations, technological advances and geopolitics. In 1999, Pindyck suggested that for long-term forecasting, a simple model should be adopted where prices grow in real terms and at a fixed rate. This paper tests the statistical significance of Pindyck's suggested class of econometric equations that model the behaviour of long-run real energy prices. The models assume mean-reverting prices with continuous and random changes in their level and trend. They are estimated using Kalman filtering. The authors used simulation-based procedures to address the issue of non-standard test statistics and nuisance parameters. Results were reported for a standard Monte Carlo test and a maximized Monte Carlo test. Results shown statistically significant instabilities for coal and natural gas prices, but not for crude oil prices. Various models were differentiated using out-of-sample forecasting exercises. 25 refs., 3 tabs

The Hierarchical Trend Model for property valuation and local price indices

NARCIS (Netherlands)

Francke, M.K.; Vos, G.A.

2002-01-01

This paper presents a hierarchical trend model (HTM) for selling prices of houses, addressing three main problems: the spatial and temporal dependence of selling prices and the dependency of price index changes on housing quality. In this model the general price trend, cluster-level price trends,

World market integration of Vietnamese rice markets during the 2008 food price crisis

NARCIS (Netherlands)

Luckmann, J.; Ihle, R.; Kleinwechter, U.; Grethe, H.

2015-01-01

World market prices of rice have been subject to large fluctuations in recent years. In mid 2008, prices reached levels never seen before. Vietnam is a major exporter of rice and rice is also the main staple food of the country. Given the importance of rice for domestic food security, the Vietnamese

When Bitcoin encounters information in an online forum: Using text mining to analyse user opinions and predict value fluctuation.

Directory of Open Access Journals (Sweden)

Young Bin Kim

Full Text Available Bitcoin is an online currency that is used worldwide to make online payments. It has consequently become an investment vehicle in itself and is traded in a way similar to other open currencies. The ability to predict the price fluctuation of Bitcoin would therefore facilitate future investment and payment decisions. In order to predict the price fluctuation of Bitcoin, we analyse the comments posted in the Bitcoin online forum. Unlike most research on Bitcoin-related online forums, which is limited to simple sentiment analysis and does not pay sufficient attention to note-worthy user comments, our approach involved extracting keywords from Bitcoin-related user comments posted on the online forum with the aim of analytically predicting the price and extent of transaction fluctuation of the currency. The effectiveness of the proposed method is validated based on Bitcoin online forum data ranging over a period of 2.8 years from December 2013 to September 2016.

When Bitcoin encounters information in an online forum: Using text mining to analyse user opinions and predict value fluctuation.

Science.gov (United States)

Kim, Young Bin; Lee, Jurim; Park, Nuri; Choo, Jaegul; Kim, Jong-Hyun; Kim, Chang Hun

2017-01-01

Bitcoin is an online currency that is used worldwide to make online payments. It has consequently become an investment vehicle in itself and is traded in a way similar to other open currencies. The ability to predict the price fluctuation of Bitcoin would therefore facilitate future investment and payment decisions. In order to predict the price fluctuation of Bitcoin, we analyse the comments posted in the Bitcoin online forum. Unlike most research on Bitcoin-related online forums, which is limited to simple sentiment analysis and does not pay sufficient attention to note-worthy user comments, our approach involved extracting keywords from Bitcoin-related user comments posted on the online forum with the aim of analytically predicting the price and extent of transaction fluctuation of the currency. The effectiveness of the proposed method is validated based on Bitcoin online forum data ranging over a period of 2.8 years from December 2013 to September 2016.

Hedging electricity price volatility using nuclear power

International Nuclear Information System (INIS)

Mari, Carlo

2014-01-01

Highlights: • Nuclear power is an important asset to reduce the volatility of electricity prices. • Unpredictability of fossil fuels and carbon prices makes power prices very volatile. • The dynamics of fossil fuels and carbon prices is described by Brownian motions. • LCOE values, volatilities and correlations are obtained via Monte Carlo simulations. • Optimal portfolios of generating technologies are get using a mean–variance approach. - Abstract: The analysis presented in this paper aims to put in some evidence the role of nuclear power as hedging asset against the volatility of electricity prices. The unpredictability of natural gas and coal market prices as well as the uncertainty in environmental policies may affect power generating costs, thus enhancing volatility in electricity market prices. The nuclear option, allowing to generate electricity without carbon emissions, offers the possibility to reduce the volatility of electricity prices through optimal diversification of power generating technologies. This paper provides a methodological scheme to plan well diversified “portfolios” of generating capacity that minimize the electricity price risk induced by random movements of fossil fuels market prices and by unpredictable fluctuations of carbon credits prices. The analysis is developed within a stochastic environment in which the dynamics of fuel prices as well as the dynamics of carbon credits prices is assumed to evolve in time according to well defined Brownian processes. Starting from market data and using Monte Carlo techniques to simulate generating cost values, the hedging argument is developed by selecting optimal portfolio of power generating technologies using a mean–variance approach

Fluctuations of indicator and index microbes as indication of ...

African Journals Online (AJOL)

2013-07-04

Jul 4, 2013 ... The Plankenburg and Eerste Rivers (Western Cape) have been reported to be contaminated with faecal coliforms. Water is drawn from both rivers for irrigation of fresh produce. The potential risk in the use of these rivers as irrigation sources was assessed by determining the fluctuations of 'indicator' and ...

Price and Availability of Sugar-Free, Sugar-Reduced and Low Glycemic Index Cereal Products in Northwestern México

Directory of Open Access Journals (Sweden)

Jesús G. Arámburo-Gálvez

2017-12-01

Full Text Available Sugar-free (SF, sugar-reduced (SR, or low-glycemic-index (low GI cereal products could be helpful for the dietary treatment of disorders related to glucose homeostasis. However, access and economic aspects are barriers that could hamper their consumption. Thus, the availability and price of such cereal products were evaluated in Northwestern México. The products were categorized in 10 groups. The data were collected in five cities by store visitation (from November 2015 to April 2016. The availability in specialized stores and supermarkets was expressed as availability rates based on the total number of products. The price of the SF, SR, and low GI products were compared with their conventional counterparts. Availability rates were higher in supermarkets than in specialized stores by product numbers (14.29% versus 3.76%, respectively; p < 0.001 and by product categories (53.57% versus 26.92%, respectively; p < 0.001. Five categories of products labeled as SF, SR, and low GI (oats, cookies and crackers, flours, snacks, and tostadas/totopos had higher prices than their conventional counterparts (p < 0.05. In conclusion, in Northwestern Mexico, the availability of SF, SR, and low GI cereal-based foods is relatively low, and these foods are more expensive than their conventional counterparts.

THE CAUSALITY TEST BETWEEN THE VARIANCES OF SPOT AND FUTURE MARKET PRICES

Directory of Open Access Journals (Sweden)

EMRAH İSMAİL ÇEVİK

2013-06-01

Full Text Available Volatility in financial markets urges importance of risk management with respect to investors and especially firms. Information and interaction between spot and futures markets plays an important role on formation of market prices. In this study, causality and information flows are examined on spot and futures prices of ISE 100 Index, US Dollar, and Euro which are traded at Turkish Derivatives Exchange (VOB. Dynamic causality test that is originally created by Cheung and Ng (1996 is applied. Dynamic causality test results show that in the ISE 100 Index model spot prices affect futures prices and in the exchange model futures prices affect spot prices.

Factors contributing to the fluctuations in residential construction in Iran

Directory of Open Access Journals (Sweden)

Hassan Gholipour Fereidouni

2011-12-01

Full Text Available Residential construction is one of the most important pillars of Iran’s economy. Although this sector had an increasing trend over the past two decades, however, the growth rate of residential construction was very volatile. The purpose of this paper is to empirically investigate those factors contributing to this fluctuation over the 1991:Q2-2008:Q4. By applying cointegration approach, the empirical results show that housing prices, construction costs, GDP and gold prices are important factors to explain swings in residential construction in Iran.

TARGET CONTROLLING METHOD OF THE PRICING PROCESS IN THE TOURISM ENTERPRISES

Directory of Open Access Journals (Sweden)

N. Sagalakova

2016-02-01

Full Text Available Key stages of the pricing process in the tourism enterprises are investigated: subprocess of establishing of nominal value of the new tourism product price and subprocess of adjustment of the established price depending on a situation in the tourism market. For establishing of nominal value of the price it is offered by use of optimizing model, which maximizes the usefulness function of structural parts of the tourism product price. For adjustment of the tourism product price under change of external conditions procedure of installation of the target with use of the process behavior charts of the pricing process is applied. The new methodology of the pricing process controlling in the tourism enterprises, which based on complex application of methods of the statistical processes control and a method of dynamic programming, is presented in article and fully considers one of key features of the tourism sphere - seasonal fluctuations of the tourism product price.

Basic Studies on Chaotic Characteristics of Electric Power Market Price

Science.gov (United States)

Takeuchi, Yuya; Miyauchi, Hajime; Kita, Toshihiro

Recently, deregulation and reform of electric power utilities have been progressing in many parts of the world. In Japan, partial deregulation has been started from generation sector since 1995 and partial deregulation of retail sector is executed through twice law revisions. Through the deregulation, because electric power is traded in the market and its price is always fluctuated, it is important for the electric power business to analyze and predict the price. Although the price data of the electric power market is time series data, it is not always proper to analyze by the linear model such as ARMA because the price sometimes changes suddenly. Therefore, in this paper, we apply the methods of chaotic time series analysis, one of non-linear analysis methods, and investigate the chaotic characteristics of the system price of JEPX.

The effect of the implementation of low price medicine policy on medicine price in China: A retrospective study.

Science.gov (United States)

Guan, Xiaodong; Yang, Mingchun; Man, Chunxia; Tian, Ye; Shi, Luwen

2018-04-30

In an effort to relieve the pressure of drug shortages, the Chinese government implemented Low-price Medicines (LPM) policy to raise the price cap in July 2014. The purpose of this study is to examine the effect of the implementation of this policy on drug price in China. Price data of 491 LPM, including 218 low-price chemical medicines (LPCM) and 273 low-price traditional Chinese medicines (LPTCM), were collected from 699 hospitals. We used interrupted time series design to identify the variation of monthly Laspeyres Indexes (LI) and Paasche Indexes (PI) for LPM, LPCM, and LPTCM. The result demonstrated that although LPM expenditures increased, the proportion of LPM expenditures accounting for all medicine expenditures fell from 3.6% to 3.2%. After the implementation of LPM policy, there was a significant increasing trend in LPM-PI, LPCM-PI, and LPTCM-PI. The trend in LPM-LI and LPCM-LI was found from descending to rising. However, for LPTCM, the trend in the LI remained to decrease after the policy implementation. Despite the LPM policy had an increasing impact on the LPM drug price, the proportion of LPM expenditures accounting for all medicine expenditures did not increase. More efforts are needed in the future to promote the rational drug use in China. Copyright © 2018 John Wiley & Sons, Ltd.

Investors’ risk attitudes and stock price fluctuation asymmetry

Science.gov (United States)

Zhang, Yu; Li, Honggang

2011-05-01

Price rise/fall asymmetry, which indicates enduring but modest rises and sudden short-term falls, is a ubiquitous phenomenon in stock markets throughout the world. Instead of the widely used time series method, we adopt inverse statistics from turbulence to analyze this asymmetry. To explore its underlying mechanism, we build a multi-agent model with two kinds of investors, which are specifically referred to as fundamentalists and chartists. Inspired by Kahneman and Tversky’s claim regarding peoples’ asymmetric psychological responses to the equivalent levels of gains and losses, we assume that investors take different risk attitudes to gains and losses and adopt different trading strategies. The simulation results of the model developed herein are consistent with empirical work, which may support our conjecture that investors’ asymmetric risk attitudes might be one origin of rise/fall asymmetry.

A Distribution-class Locational Marginal Price (DLMP) Index for Enhanced Distribution Systems

Science.gov (United States)

Akinbode, Oluwaseyi Wemimo

The smart grid initiative is the impetus behind changes that are expected to culminate into an enhanced distribution system with the communication and control infrastructure to support advanced distribution system applications and resources such as distributed generation, energy storage systems, and price responsive loads. This research proposes a distribution-class analog of the transmission LMP (DLMP) as an enabler of the advanced applications of the enhanced distribution system. The DLMP is envisioned as a control signal that can incentivize distribution system resources to behave optimally in a manner that benefits economic efficiency and system reliability and that can optimally couple the transmission and the distribution systems. The DLMP is calculated from a two-stage optimization problem; a transmission system OPF and a distribution system OPF. An iterative framework that ensures accurate representation of the distribution system's price sensitive resources for the transmission system problem and vice versa is developed and its convergence problem is discussed. As part of the DLMP calculation framework, a DCOPF formulation that endogenously captures the effect of real power losses is discussed. The formulation uses piecewise linear functions to approximate losses. This thesis explores, with theoretical proofs, the breakdown of the loss approximation technique when non-positive DLMPs/LMPs occur and discusses a mixed integer linear programming formulation that corrects the breakdown. The DLMP is numerically illustrated in traditional and enhanced distribution systems and its superiority to contemporary pricing mechanisms is demonstrated using price responsive loads. Results show that the impact of the inaccuracy of contemporary pricing schemes becomes significant as flexible resources increase. At high elasticity, aggregate load consumption deviated from the optimal consumption by up to about 45 percent when using a flat or time-of-use rate. Individual load

Estimating the Efficiency and Impacts of Petroleum Product Pricing Reforms in China

Directory of Open Access Journals (Sweden)

Chuxiong Deng

2018-04-01

Full Text Available The efficiency and effects analysis of a new pricing mechanism would have significant policy implications for the further design of a pricing mechanism in an emerging market. Unlike most of the existing literature, which focuses on the impacts to the macro-economy, this paper firstly uses an econometrics model to discuss the efficiency of the new pricing mechanism, and then establishes an augmented Phillips curve to estimate the impact of pricing reform on inflation in China. The results show that: (1 the new pricing mechanism would strengthen the linkage between Chinese oil prices and international oil prices; (2 oil price adjustments are still inadequate in China. (3 The lag in inflation is the most important factor that affects inflation, while the impact of the Chinese government’s price adjustments on inflation is limited and insignificant. In order to improve the efficiency of the petroleum products pricing mechanism and shorten lags, government should shorten the adjustment period and diminish the fluctuation threshold.

Alberta producers' gas export prices slip

International Nuclear Information System (INIS)

Chandrasekharaiah, M.N.; Dubben, G.; Kolster, B.H.

1992-01-01

This paper reports that Alberta gas producers have approved a new contract with California buyers that includes slightly lower wellhead prices and more flexible pricing terms. The 1 year agreement, will apply a flexible price formula to gas sales. A basic volume of 212 MMcfd will receive $1.52 (U.S.)/Mcf. A and S also will buy 200 MMcfd at prices paid for other Alberta gas in the California market. It will have the right to buy added volumes at prices indexed to gas sold into California from the U.S. Southwest. Ballots cast by producers were to be verified by regulatory agencies in Alberta and British Columbia. The more flexible price terms in the new contract are seen as a positive development for negotiations in a dispute over long term contracts

Stock price analysis of sustainable foreign investment companies in Indonesia

Science.gov (United States)

Fachrudin, Khaira Amalia

2018-03-01

The stock price is determined by demand and supply in the stock market. Stock price reacts to information. Sustainable investment is an investment that considers environmental sustainability and human rights. This study aims to predict the probability of above average stock price by including the sustainability index as one of its variables. The population is all foreign investment companies in Indonesia. The target population is companies that distribute dividends – also as a sample. The analysis tool is a logistic regression. At 5% alpha, it was found that sustainability index did not have the probability to increase stock price average. The significant effects are free cash flow and cost of debt. However, sustainability index can increase the Negelkarke R square. The implication is that the awareness of sustainability is still necesary to be improved because from the research result it can be seen that investors only consider the risk and return.

Pricing Natural Gas. The Outlook for the European Market (Summary)

International Nuclear Information System (INIS)

2008-01-01

Long-term gas supply contracts contain price formulae, in which the gas price is usually linked to the price of another commodity, or to the spot price of gas in a particular market. In continental Europe the gas price in international long-term supply contracts is predominantly linked to oil products. At the same time, spot markets for gas in which gas prices are determined by supply and demand are developing in various EU markets. This paper addresses the question of to what extent the traditional form of oil-based price indexation is sustainable and/or will be sustained by the market players. It discusses the considerations the market players may have in favour of one or the other form of indexation, the external forces that may influence the choice of indexation in the short and longer terms and the consequences of change. It argues that pricing systems are a fundamental part of a market organisation, and that a shift to different pricing structures only happens if and when the main actors are convinced that they understand and accept the consequences of such change. It concludes that there is no strong evidence that the current hybrid situation, in which both forms of gas pricing co-exist, cannot continue. There are also no overriding reasons to intervene in the market practices of price formation. Both systems have their advantages and disadvantages under different market conditions, and to some extent complement each other in the current markets. Different types of risk and the appreciation thereof by the trading parties will determine particular choices of pricing rules and contracting conditions. More importantly, in today's market, in which new supplies are slow to come forward, the choice should be left to the market parties, particularly as sellers and buyers do not seem to be in strong disagreement

Essays on Derivatives Pricing

DEFF Research Database (Denmark)

Kokholm, Thomas

. With the existence of a liquid market for derivatives with variance as underlying, such as VIX options, VIX futures and a well-developed over-the-counter market for options on variance swaps, it is important to consider models that are able to fit these markets while consistently pricing vanilla options...... financial models, and most importantly, to be aware of their limitations. Following that belief, this thesis consists of three independent and self-contained papers, all dealing with topics in derivatives pricing. The first paper considers the pricing of traffic light options, which are appropriate...... the market for multivariate credit instruments, we take a step back and focus on single-name default modeling and introduce two new model classes for modeling of the default time of a company. Finally, in the third paper we propose a consistent pricing model for index and volatility derivatives...

An Assessment of the Immigration Impact on the International Housing Price

OpenAIRE

Barbu, Teodora Cristina; Vuța, Mariana; Strachinaru, Adina Ionela; Cioaca, Sorin Iulian

2017-01-01

The article highlights the correlation between the evolution of the housing price, as measured by House Price Index, the flow of immigrants and other macroeconomic variables for a sample of 21 representative countries for the period 2007-2014. The proposed model explains and highlights the existence of a positive link between the House Price Index evolution and the flow of immigrants, market capitalization share to Gross Domestic Product and the growth rate of the economy. The novelty of this...

The Rare Earth Magnet Industry and Rare Earth Price in China

Directory of Open Access Journals (Sweden)

Ding Kaihong

2014-07-01

Full Text Available In the past four years, the price of rare earth metal fluctuates sharply for many reasons. Currently, it has become more stable and more reasonable. This presentation is focused on the effect about the rare earth metal price. Some motor manufacturers have shifted from rare earth permanent magnet to ferrite magnet. Many motor manufacturers changed the design for the motor cooling system to make the motor function at a lower temperature. Thus the consumption of Dy can be markedly reduced. As for manufacturer of NdFeB magnet, we are also trying to optimize our process to reduce to dependence of HREE such as Dy and Tb. HS process have been introduced to solve the problem. With more and more people focusing and engaging on the REE industry, the price of REE will be more transparent without too many fluctuations. China is considering the problems of balancing the environment, energy sources, and labor sources. The application field about NdFeB such as wind turbine generator, HEV/EV, FA /OA is flourishing.

The Rare Earth Magnet Industry and Rare Earth Price in China

Science.gov (United States)

Ding, Kaihong

2014-07-01

In the past four years, the price of rare earth metal fluctuates sharply for many reasons. Currently, it has become more stable and more reasonable. This presentation is focused on the effect about the rare earth metal price. Some motor manufacturers have shifted from rare earth permanent magnet to ferrite magnet. Many motor manufacturers changed the design for the motor cooling system to make the motor function at a lower temperature. Thus the consumption of Dy can be markedly reduced. As for manufacturer of NdFeB magnet, we are also trying to optimize our process to reduce to dependence of HREE such as Dy and Tb. HS process have been introduced to solve the problem. With more and more people focusing and engaging on the REE industry, the price of REE will be more transparent without too many fluctuations. China is considering the problems of balancing the environment, energy sources, and labor sources. The application field about NdFeB such as wind turbine generator, HEV/EV, FA /OA is flourishing.

Strategic wholesale pricing for an incumbent supplier facing with a competitive counterpart.

Science.gov (United States)

Sun, Jianwu

2014-01-01

We introduce a wholesale pricing strategy for an incumbent supplier facing with a competitive counterpart. We propose a profit function which considers both the present loss and future loss from a wholesale price and then study the optimal wholesale prices for different objectives about this profit function for the incumbent supplier. First, we achieve an optimal wholesale price for the incumbent supplier to maximize his expected profit. Then, to reduce the risk originating from the fluctuation in the competitive supplier's wholesale price, we integrate the conditional value-at-risk (CVaR) measure in financial risk management into this study and derive an optimal wholesale price to maximize CVaR about profit for the incumbent supplier. Besides, the properties of the two optimal wholesale prices are discussed. Finally, some management insights are suggested for the incumbent supplier in a competitive setting.

Pricing hazardous substance emissions

Energy Technology Data Exchange (ETDEWEB)

Staring, Knut; Vennemo, Haakon

1997-12-31

This report discusses pricing of emissions to air of several harmful substances. It combines ranking indices for environmentally harmful substances with economic valuation data to yield price estimates. The ranking methods are discussed and a relative index established. Given the relative ranking of the substances, they all become valued by assigning a value to one of them, the `anchor` substance, for which lead is selected. Valuations are provided for 19 hazardous substances that are often subject to environmental regulations. They include dioxins, TBT, etc. The study concludes with a discussion of other categories of substances as well as uncertainties and possible refinements. When the valuations are related to CO, NOx, SOx and PM 10, the index system undervalues these pollutants as compared to other studies. The scope is limited to the outdoor environment and does not include global warming and eutrophication. The indices are based on toxicity and so do not apply to CO{sub 2} or other substances that are biologically harmless. The index values are not necessarily valid for all countries and should be considered as preliminary. 18 refs., 6 tabs.

Pricing hazardous substance emissions

Energy Technology Data Exchange (ETDEWEB)

Staring, Knut; Vennemo, Haakon

1998-12-31

This report discusses pricing of emissions to air of several harmful substances. It combines ranking indices for environmentally harmful substances with economic valuation data to yield price estimates. The ranking methods are discussed and a relative index established. Given the relative ranking of the substances, they all become valued by assigning a value to one of them, the `anchor` substance, for which lead is selected. Valuations are provided for 19 hazardous substances that are often subject to environmental regulations. They include dioxins, TBT, etc. The study concludes with a discussion of other categories of substances as well as uncertainties and possible refinements. When the valuations are related to CO, NOx, SOx and PM 10, the index system undervalues these pollutants as compared to other studies. The scope is limited to the outdoor environment and does not include global warming and eutrophication. The indices are based on toxicity and so do not apply to CO{sub 2} or other substances that are biologically harmless. The index values are not necessarily valid for all countries and should be considered as preliminary. 18 refs., 6 tabs.

Mellin Transform Method for European Option Pricing with Hull-White Stochastic Interest Rate

Directory of Open Access Journals (Sweden)

Ji-Hun Yoon

2014-01-01

Full Text Available Even though interest rates fluctuate randomly in the marketplace, many option-pricing models do not fully consider their stochastic nature owing to their generally limited impact on option prices. However, stochastic dynamics in stochastic interest rates may have a significant impact on option prices as we take account of issues of maturity, hedging, or stochastic volatility. In this paper, we derive a closed form solution for European options in Black-Scholes model with stochastic interest rate using Mellin transform techniques.

The Minimum Wage, Restaurant Prices, and Labor Market Structure

Science.gov (United States)

Aaronson, Daniel; French, Eric; MacDonald, James

2008-01-01

Using store-level and aggregated Consumer Price Index data, we show that restaurant prices rise in response to minimum wage increases under several sources of identifying variation. We introduce a general model of employment determination that implies minimum wage hikes cause prices to rise in competitive labor markets but potentially fall in…

When the weather governs the price

International Nuclear Information System (INIS)

Braaten, Jan

2003-01-01

In the winter 2002-2003 the Nordic power market experienced a price shock: prices rose by a factor of eight during the autumn of 2002. This was caused above all by a record failure of the water influx to the entire Nordic hydropower system. But extreme cold and technical problems with import from the Continent aggravated the problem. The probability of so small influx in autumn is less than 0.5 per cent. The large variation in influx, in particular from one year to the next, create large price fluctuations which can be unpleasant for the consumers. At the same time the price mechanism is important for the proper balance between demand and supply. It was the high prices that last winter raised the import to Norway and Sweden and that caused idle fossil power stations to be restarted and the consumption to go down. A better energy balance in Norway and Sweden will increase the supply security, but in order to exploit the unstable hydropower resources well and to achieve an acceptable supply security in dry years flexibility is needed in production, consumption, and trade with the surrounding world. Most measures to increase the flexibility cost money, and it is probably impossible and economically undesirable to protect the consumers from all price shocks. It should be possible, however, for those who want stable expenses, to choose contracts with firm prices for the whole consumption or for part of it.

A study of the improvement of the district heat price cap system

Energy Technology Data Exchange (ETDEWEB)

Yoo, S.J. [Korea Energy Economics Institute, Euiwang (Korea)

2001-11-01

This study proposes revision of the price cap mechanism applied to the district heating company, which was introduced in 1999. The revision aims at the provision of the incentives to lower the production cost to the heat producers and preventing the monopoly price from being charged to the consumer. It is proposed to extend the application period of the price cap to 3 or 5 years. 3 year application period is recommended because of lack of the experiences of the price cap mechanism and information of its performance in the public utility industries in Korea. The calculation of the price cap is better to be set based upon the minimum of the full cost of heat production in the last year of the previous application periods or the prices actually charged to the consumer during the previous application period. As the opportunity cost of the equity capital, the interest rate of the 5 year government bond or the actual interest cost of the debt financed capital is recommended to increase the share of the equity capital and to reflect the investment risk of the district heating industry. Production efficiency index applicable to the district heating company is estimated with 3 different methods. Among three different results, 3% is the first choice from a conservative perspective. It is also recommended to adjust production efficiency index as the data are accumulated and to be implemented with a profit sharing mechanism between the consumer and the monopoly supplier. In application of the price index, producer price index is applicable if the price cap is calculated from the full production cost. consumer price index is applicable if the price cap is set from the previous year's actual district heat prices (tariffs). Transfer of the ownership either by transferring stocks or by asset selling could affect the price cap determined by the full cost of the district heat production. In order to keep the consumer's welfare from being decreased, it is necessary to set

The evolution of price elasticity of electricity demand in South Africa: A Kalman filter application

International Nuclear Information System (INIS)

Inglesi-Lotz, R.

2011-01-01

In South Africa, the electricity mismatch of supply and demand has been of major concern. Additional to past problems, the 2008 electricity crisis made the solution crucial after its damaging consequences to the economy. The disagreement on the need and consequences of the continuous electricity price hikes worsens the situation. To contribute to the recent electricity debate, this paper proposes a time-varying price elasticity of demand for electricity; the sensitivity of electricity consumption to price fluctuations changes throughout the years. The main purpose of this study is the estimation of the price elasticity of electricity in South Africa during the period 1980-2005 by employing an advanced econometric technique, the Kalman filter. Apart from the decreasing effect of electricity prices to consumption (-71.8% in the 1990s and -94.5% in the 2000s in average), our results conclude to an important finding: the higher the prices (for example in the 1980s) the higher the sensitivity of consumers to price fluctuations. Thus, further increases of the electricity prices may lead to changes in the behaviour of electricity consumers, focusing their efforts on improving their efficiency levels by introducing demand-side management techniques or even turning to other sources of - cheaper - energy. - Highlights: → The price elasticity of South Africa's electricity demand (1980-2005) is examined. → The Kalman filter methodology is used to show elasticity changes over time. → Decreasing effect of electricity prices to consumption over the years is found. → The higher the prices of electricity were, the higher the sensitivity of consumption. → If electricity prices increase, consumers will choose to consume more efficiently.

The evolution of price elasticity of electricity demand in South Africa: A Kalman filter application

Energy Technology Data Exchange (ETDEWEB)

Inglesi-Lotz, R., E-mail: roula.inglesi@up.ac.za [Department of Economics, EMS Building, University of Pretoria, Gauteng 0002 (South Africa)

2011-06-15

In South Africa, the electricity mismatch of supply and demand has been of major concern. Additional to past problems, the 2008 electricity crisis made the solution crucial after its damaging consequences to the economy. The disagreement on the need and consequences of the continuous electricity price hikes worsens the situation. To contribute to the recent electricity debate, this paper proposes a time-varying price elasticity of demand for electricity; the sensitivity of electricity consumption to price fluctuations changes throughout the years. The main purpose of this study is the estimation of the price elasticity of electricity in South Africa during the period 1980-2005 by employing an advanced econometric technique, the Kalman filter. Apart from the decreasing effect of electricity prices to consumption (-71.8% in the 1990s and -94.5% in the 2000s in average), our results conclude to an important finding: the higher the prices (for example in the 1980s) the higher the sensitivity of consumers to price fluctuations. Thus, further increases of the electricity prices may lead to changes in the behaviour of electricity consumers, focusing their efforts on improving their efficiency levels by introducing demand-side management techniques or even turning to other sources of - cheaper - energy. - Highlights: > The price elasticity of South Africa's electricity demand (1980-2005) is examined. > The Kalman filter methodology is used to show elasticity changes over time. > Decreasing effect of electricity prices to consumption over the years is found. > The higher the prices of electricity were, the higher the sensitivity of consumption. > If electricity prices increase, consumers will choose to consume more efficiently.

The long-run dynamic relationship between exchange rate and its attention index: Based on DCCA and TOP method

Science.gov (United States)

Wang, Xuan; Guo, Kun; Lu, Xiaolin

2016-07-01

The behavior information of financial market plays a more and more important role in modern economic system. The behavior information reflected in INTERNET search data has already been used in short-term prediction for exchange rate, stock market return, house price and so on. However, the long-run relationship between behavior information and financial market fluctuation has not been studied systematically. Further, most traditional statistic methods and econometric models could not catch the dynamic and non-linear relationship. An attention index of CNY/USD exchange rate is constructed based on search data from 360 search engine of China in this paper. Then the DCCA and Thermal Optimal Path methods are used to explore the long-run dynamic relationship between CNY/USD exchange rate and the corresponding attention index. The results show that the significant interdependency exists and the change of exchange rate is 1-2 days lag behind the attention index.

Cost Indexing and Unit Price Adjustments for Construction Materials

Science.gov (United States)

2012-10-30

This project was focused on the assimilation of information regarding unit price adjustment clauses, or PACs, : that are offered for construction materials at the state Departments of Transportation (DOTs). It is intended to : provide the South Carol...

Palm oil price forecasting model: An autoregressive distributed lag (ARDL) approach

Science.gov (United States)

Hamid, Mohd Fahmi Abdul; Shabri, Ani

2017-05-01

Palm oil price fluctuated without any clear trend or cyclical pattern in the last few decades. The instability of food commodities price causes it to change rapidly over time. This paper attempts to develop Autoregressive Distributed Lag (ARDL) model in modeling and forecasting the price of palm oil. In order to use ARDL as a forecasting model, this paper modifies the data structure where we only consider lagged explanatory variables to explain the variation in palm oil price. We then compare the performance of this ARDL model with a benchmark model namely ARIMA in term of their comparative forecasting accuracy. This paper also utilize ARDL bound testing approach to co-integration in examining the short run and long run relationship between palm oil price and its determinant; production, stock, and price of soybean as the substitute of palm oil and price of crude oil. The comparative forecasting accuracy suggests that ARDL model has a better forecasting accuracy compared to ARIMA.

OPTIMAL PRICE OF ADMISSION BANTIMURUNG NATURAL PARK, SOUTH SULAWESI

Directory of Open Access Journals (Sweden)

Wahyudi Isnan

2016-12-01

Full Text Available The number of visitors to the Bantimurung natural park fluctuated allegedly due to the increase of the price of admission ticket. The aim of the study is to analyze optimal price of admission ticket and willingness of visitors to pay admission ticket to the Park. The study was conducted in Bantimurung natural park, South Sulawsi, from January to April 2013.117 number of samples was taken by using convenience sampling method. Analysis of optimal prices and the willingness of visitors to pay for ecotourism to the Park were conducted by creating tourism demand function, which then simulated the price of admission, into the equation function of tourist demand. The results showed that the optimal price of the admission ticket was at the price of Rp75,000. At the optimal price of admission ticket of Rp75,000 the Park would earn revenues of Rp18,230,700,000. An average value of the visitor willingness to pay was Rp118,032, with price of admission ticket was Rp75,000, then, the average visitor will get consumer surplus of Rp43,032. If the management of Bantimurung natural park desiring to increase the total revenue, then the price of admission ticket can be increased to be Rp75,000.

Tendances Carbone n. 7 Oct. 2006

International Nuclear Information System (INIS)

2006-01-01

This newsletter presents, first, the unexpected events that occurred in September 2006 on the European carbon market and their relation with the fluctuations of energy prices. Then, it makes a synthesis of the European CO 2 market over the last 13 months: traded volumes, spot prices, climate indexes (temperature, precipitations), economic activity indicators (industrial production index, business leaders' confidence index, changes in energy prices, CO 2 quotas allocated to European Union countries, and detailed indicators of CO 2 market, climate, economic activity and energy prices. (J.S.)

ASPECTS OF REGIONAL COMPETITIVENESS THROUGH DYNAMIC PRICES OF PETROLEUM PRODUCTS

Directory of Open Access Journals (Sweden)

Daniela\tENACHESCU

2015-06-01

Full Text Available This paper presents aspects regarding the dynamics of prices of petroleum products: gasoline and diesel in Romania in the period 2003(2007-2014. Both focus on relationship-price raw material and finished product by the impact of market prices. Given that the price of fuel is a key factor in economic development but also in the living of population, this paper has proposed to analyze some aspects of the dynamics of prices of petroleum products in correlation with commodity prices in a competitive market in 2003 -2014. In the analized period, price of oil barrel has a dynamics substantially influenced by the global political turbulences but also by lower oil demand due to consumption reduction, especially lately. Increases and decreases were abrupt and unpredictable in the early years of the first decade of the XXI century. Political crises in the Middle East, the economic crisis started in 2007 and especially the crisis in Ukraine and policies adopted by the EU and the US have led to extremely large fluctuations in oil prices from one period to another . This dynamic will only cover the price of petroleum products namely gazoline and diesel for vehicles.

Impact of Dividend Policy on Share Price Volatility: UK Evidence

OpenAIRE

ZHANG, YIDING

2012-01-01

This research attempts to shed light on the linkage between dividend policy and share price volatility in the context of UK. As a rework and extension of pervious research, the study is expected to reveal the potential impact of dividend change on the fluctuation of stock price, taking existing theoretical and empirical framework as basis. A snapshot of UK economy is provided after the preceding introductory section. The third chapter consists of a review of theories and empirical studies. Wi...

Evaluating imperfections and biases in price indexes during transition

Czech Academy of Sciences Publication Activity Database

Hanousek, Jan; Kovacs, I.; Stavrev, E.

č. 186 (2001), s. 1-21 ISSN 1211-3298 Institutional research plan: CEZ:AV0Z7085904 Keywords : CPI bias * price liberalization * transition economies Subject RIV: AH - Economics http://www.cerge-ei.cz/pdf/wp/Wp186.pdf

Assessment of OPEC's oil pricing policy from 1970 to 2000

International Nuclear Information System (INIS)

Kazim, A.

2007-01-01

The Organization of the Petroleum Exporting Countries (OPEC) is an international organization, composed of eleven developing countries that rely on oil revenues as their main source of income. The member countries include: Algeria, Indonesia, Iran, Iraq, Kuwait, Libya, Nigeria, Qatar, United Arab Emirates, Saudi Arabia and Venezuela. These member countries collectively supply approximately 40 per cent of the world's oil output, and possess more than three-quarters of the world's total proven crude oil reserves. Currently, OPEC's approximate rate of oil production and export is 25 million barrels per day with Saudi Arabia alone contributing about one third of this rate. However, in the recent years the economy of major OPEC countries mainly Saudi Arabia, Venezuela, Algeria, Indonesia and Iran has been significantly hindered by the instability of oil price as a result of fluctuations in the American dollar. This paper presented a simple economical assessment of OPEC's oil pricing policy from 1970 to 2000. Fluctuations of the oil price in American dollars were analysed against other major currencies. Their influences on the generated revenues were determined. In order to explore the most advantageous scenario, the oil pricing policy during that period was compared with two baskets of currencies. It was concluded that results indicated that OPEC members could have achieved a total current savings of at least 170 billion dollars if the price of oil was linked to a basket of currencies from 1970 to 2000. These savings were approximately equivalent to the revenues generated in at least 1 year of OPEC's average rate of oil production and export. It was recommended that OPEC members should consider restructuring their oil pricing policy by taking effective measures such as linking the price of oil to a basket of currencies in order to stabilize the price of oil and secure stable revenue generated from their oil production and export. 17 refs., 1 tab., 4 figs

The Nigerian Cocoa Farmers and the Fluctuations in World Cocoa ...

African Journals Online (AJOL)

The dynamics of the international economy, such as the 1930s fluctuations in the prices of primary commodities on the world market, affected Nigerian economy and society a great deal. Of all the commodity producers in Nigeria, cocoa farmers were the worst hit. This is because cocoa farmers depended on the world market ...

Currency option pricing in a credible exchange rate target zone

NARCIS (Netherlands)

Veestraeten, D.

2013-01-01

This article examines currency option pricing within a credible target zone arrangement where interventions at the boundaries push the exchange rate back into its fluctuation band. Valuation of such options is complicated by the requirement that the reflection mechanism should prevent the arbitrage

Currency option pricing in a credible exchange rate target zone

NARCIS (Netherlands)

Veestraeten, D.

2012-01-01

This article examines currency option pricing within a credible target zone arrangement where interventions at the boundaries push the exchange rate back into its fluctuation band. Valuation of such options is complicated by the requirement that the reflection mechanism should prevent the arbitrage

The transmission of fluctuant patterns of the forex burden based on international crude oil prices

International Nuclear Information System (INIS)

Gao, Xiangyun; An, Haizhong; Fang, Wei; Li, Huajiao

2014-01-01

For a country that imports crude oil, the forex burden is always fluctuant due to the fluctuation of international crude oil prices and exchange rates over time. The gap discovered between international crude oil prices and the crude oil price based on exchange rates may indicate the fluctuation of the forex burden. There exist different fluctuant patterns in the fluctuation process of the forex burden in different periods. Hence, we proposed an approach combining econometrics and complex network theory to explore the transmission mechanism of these fluctuant patterns. In this study, we defined the forex burden and the fluctuant patterns by normalization, sliding windows of data and econometric models. And then we set the fluctuant patterns as nodes and the transformation between patterns as edges; in this way, the transmission complex network is constructed. The results show that different major fluctuant patterns with different probabilities appear in different scales. The fluctuant patterns transferred into each other conveniently. And the transmission medium can help to identify the transitional periods in the process of the transmission. The contribution of this study to the energy policy decision-making is that the formulations of related policies under different period lengths require different reference standards. - Highlights: • Small “gap” between crude oil price and exchange rate can make great forex fluctuation. • We defined the fluctuant patterns of forex burden through data sliding windows. • We constructed the transmission network models of fluctuant patterns of forex burden. • The transitional periods can be identified by media capabilities of fluctuant patterns. • Energy policies making for different lengths of period should reference different scales standards

The transmission of fluctuant patterns of the forex burden based on international crude oil prices

Energy Technology Data Exchange (ETDEWEB)

Gao, Xiangyun [School of Humanities and Economic Management, China University of Geosciences, Beijing 100083 (China); Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Land and Resources (Chinese Academy of Land and Resource Economics, China University of Geosciences Beijing), Beijing 100083 (China); Lab of Resources and Environmental Management, China University of Geosciences, Beijing 100083 (China); Department of Earth and Environmental Sciences, University of Waterloo, ON N2L 3G1 (Canada); An, Haizhong [School of Humanities and Economic Management, China University of Geosciences, Beijing 100083 (China); Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Land and Resources (Chinese Academy of Land and Resource Economics, China University of Geosciences Beijing), Beijing 100083 (China); Lab of Resources and Environmental Management, China University of Geosciences, Beijing 100083 (China); Fang, Wei [School of Humanities and Economic Management, China University of Geosciences, Beijing 100083 (China); Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Land and Resources (Chinese Academy of Land and Resource Economics, China University of Geosciences Beijing), Beijing 100083 (China); Lab of Resources and Environmental Management, China University of Geosciences, Beijing 100083 (China); Li, Huajiao [School of Humanities and Economic Management, China University of Geosciences, Beijing 100083 (China); Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Land and Resources (Chinese Academy of Land and Resource Economics, China University of Geosciences Beijing), Beijing 100083 (China); Lab of Resources and Environmental Management, China University of Geosciences, Beijing 100083 (China); others, and

2014-08-14

For a country that imports crude oil, the forex burden is always fluctuant due to the fluctuation of international crude oil prices and exchange rates over time. The gap discovered between international crude oil prices and the crude oil price based on exchange rates may indicate the fluctuation of the forex burden. There exist different fluctuant patterns in the fluctuation process of the forex burden in different periods. Hence, we proposed an approach combining econometrics and complex network theory to explore the transmission mechanism of these fluctuant patterns. In this study, we defined the forex burden and the fluctuant patterns by normalization, sliding windows of data and econometric models. And then we set the fluctuant patterns as nodes and the transformation between patterns as edges; in this way, the transmission complex network is constructed. The results show that different major fluctuant patterns with different probabilities appear in different scales. The fluctuant patterns transferred into each other conveniently. And the transmission medium can help to identify the transitional periods in the process of the transmission. The contribution of this study to the energy policy decision-making is that the formulations of related policies under different period lengths require different reference standards. - Highlights: • Small “gap” between crude oil price and exchange rate can make great forex fluctuation. • We defined the fluctuant patterns of forex burden through data sliding windows. • We constructed the transmission network models of fluctuant patterns of forex burden. • The transitional periods can be identified by media capabilities of fluctuant patterns. • Energy policies making for different lengths of period should reference different scales standards.

Forecasting Analysis of Shanghai Stock Index Based on ARIMA Model

Directory of Open Access Journals (Sweden)

Li Chenggang

2017-01-01

Full Text Available Prediction and analysis of the Shanghai Composite Index is conducive for investors to investing in the stock market, and providing investors with reference. This paper selects Shanghai Composite Index monthly closing price from Jan, 2005 to Oct, 2016 to construct ARIMA model. This paper carries on the forecast of the last three monthly closing price of Shanghai Stock Index that have occurred, and compared it with the actual value, which tests the accuracy and feasibility of the model in the short term Shanghai Stock Index forecast. At last, this paper uses the ARIMA model to forecast the Shanghai Composite Index closing price of the last two months in 2016.

Strategic Wholesale Pricing for an Incumbent Supplier Facing with a Competitive Counterpart

Directory of Open Access Journals (Sweden)

Jianwu Sun

2014-01-01

Full Text Available We introduce a wholesale pricing strategy for an incumbent supplier facing with a competitive counterpart. We propose a profit function which considers both the present loss and future loss from a wholesale price and then study the optimal wholesale prices for different objectives about this profit function for the incumbent supplier. First, we achieve an optimal wholesale price for the incumbent supplier to maximize his expected profit. Then, to reduce the risk originating from the fluctuation in the competitive supplier’s wholesale price, we integrate the conditional value-at-risk (CVaR measure in financial risk management into this study and derive an optimal wholesale price to maximize CVaR about profit for the incumbent supplier. Besides, the properties of the two optimal wholesale prices are discussed. Finally, some management insights are suggested for the incumbent supplier in a competitive setting.

Can we use the q-Gaussian of ambient noise fluctuations as a vulnerability index? A case study in Cultural Heritage buildings

Science.gov (United States)

Vallianatos, Filippos; Koutalonis, Ioannis; Moisidi, Margarita; Chatzopoulos, Georgios

2018-05-01

In this work we study in terms of Tsallis statistical mechanics the properties of microtremors' fluctuations in two church bell towers, which are monuments of cultural heritage, in the city of Chania (Crete, Greece). We have shown that fluctuations of ambient vibrations recordings in the Church tower bells follow a q-Gaussian distribution. The behavior of Tsallis q parameter with the level (high) of the measuring point within the tower and the amplification factors at that points as extracted from horizontal-to-vertical (HVSR) spectral ratios are presented and discussed. Since q decreases as the amplification factor increases, we could suggest q as a vulnerability index, where, as q decreases approaching unity, then the structural system is getting more vulnerable. The latter approach suggests that introducing ideas of Tsallis statistics could be useful in characterizing extremely complex processes as that governed the estimation of seismic vulnerability in which a multidisciplinary approach is required.

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

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

Method for Developing Descriptions of Hard-to-Price Products: Results of the Telecommunications Product Study

Energy Technology Data Exchange (ETDEWEB)

Conrad, F.; Tonn, B.

1999-05-01

This report presents the results of a study to test a new method for developing descriptions of hard-to-price products. The Bureau of Labor Statistics (BLS) is responsible for collecting data to estimate price indices such as the Consumers Price Index (BLS) is responsible for collecting data to estimate price indices such as the Consumers Price Index (CPI). BLS accomplishes this task by sending field staff to places of business to price actual products. The field staff are given product checklists to help them determine whether products found today are comparable to products priced the previous month. Prices for non-comparable products are not included in the current month's price index calculations. A serious problem facing BLS is developing product checklists for dynamic product areas, new industries, and the service sector. It is difficult to keep checklists up-to-date and quite often simply to develop checklists for service industry products. Some people estimates that upwards of 50 % of US economic activity is not accounted for in the CPI

Risk Measure and Early-Warning System of China's Stock Market Based on Price-Earnings Ratio and Price-to-Book Ratio

Directory of Open Access Journals (Sweden)

Rongda Chen

2014-01-01

Full Text Available Based on the actual situation of China's stock market, this paper proposes a method for measuring the stock market's risk and early-warning methods which are based on price-to-earnings ratio and price-to-book ratio. The study found that the method of VaR can capture the bigger daily drops in a period, and if the drop is at the periodical top of the index, the probability of a sharp index decline will be very high. It also confirmed that the method is feasible and practical for people to use. In the long run, this method really can send early-warning signals of sharp decline; the warning levels increase as the index rises. The study also found that index will not fall after every warning but will continue going forward because of inertia, particularly during a big trend.

A novel stock forecasting model based on High-order-fuzzy-fluctuation Trends and Back Propagation Neural Network.

Science.gov (United States)

Guan, Hongjun; Dai, Zongli; Zhao, Aiwu; He, Jie

2018-01-01

In this paper, we propose a hybrid method to forecast the stock prices called High-order-fuzzy-fluctuation-Trends-based Back Propagation(HTBP)Neural Network model. First, we compare each value of the historical training data with the previous day's value to obtain a fluctuation trend time series (FTTS). On this basis, the FTTS blur into fuzzy time series (FFTS) based on the fluctuation of the increasing, equality, decreasing amplitude and direction. Since the relationship between FFTS and future wave trends is nonlinear, the HTBP neural network algorithm is used to find the mapping rules in the form of self-learning. Finally, the results of the algorithm output are used to predict future fluctuations. The proposed model provides some innovative features:(1)It combines fuzzy set theory and neural network algorithm to avoid overfitting problems existed in traditional models. (2)BP neural network algorithm can intelligently explore the internal rules of the actual existence of sequential data, without the need to analyze the influence factors of specific rules and the path of action. (3)The hybrid modal can reasonably remove noises from the internal rules by proper fuzzy treatment. This paper takes the TAIEX data set of Taiwan stock exchange as an example, and compares and analyzes the prediction performance of the model. The experimental results show that this method can predict the stock market in a very simple way. At the same time, we use this method to predict the Shanghai stock exchange composite index, and further verify the effectiveness and universality of the method.

A novel stock forecasting model based on High-order-fuzzy-fluctuation Trends and Back Propagation Neural Network.

Directory of Open Access Journals (Sweden)

Hongjun Guan

Full Text Available In this paper, we propose a hybrid method to forecast the stock prices called High-order-fuzzy-fluctuation-Trends-based Back Propagation(HTBPNeural Network model. First, we compare each value of the historical training data with the previous day's value to obtain a fluctuation trend time series (FTTS. On this basis, the FTTS blur into fuzzy time series (FFTS based on the fluctuation of the increasing, equality, decreasing amplitude and direction. Since the relationship between FFTS and future wave trends is nonlinear, the HTBP neural network algorithm is used to find the mapping rules in the form of self-learning. Finally, the results of the algorithm output are used to predict future fluctuations. The proposed model provides some innovative features:(1It combines fuzzy set theory and neural network algorithm to avoid overfitting problems existed in traditional models. (2BP neural network algorithm can intelligently explore the internal rules of the actual existence of sequential data, without the need to analyze the influence factors of specific rules and the path of action. (3The hybrid modal can reasonably remove noises from the internal rules by proper fuzzy treatment. This paper takes the TAIEX data set of Taiwan stock exchange as an example, and compares and analyzes the prediction performance of the model. The experimental results show that this method can predict the stock market in a very simple way. At the same time, we use this method to predict the Shanghai stock exchange composite index, and further verify the effectiveness and universality of the method.

Edge fluctuation studies in Heliotron J

International Nuclear Information System (INIS)

Mizuuchi, T.; Chechkin, V.V.; Ohashi, K.; Sorokovoy, E.L.; Chechkin, A.V.; Gonchar, V.Yu.; Takahashi, K.; Kobayashi, S.; Nagasaki, K.; Okada, H.; Yamamoto, S.; Sano, F.; Kondo, K.; Nishino, N.; Kawazome, H.; Shidara, H.; Kaneko, S.; Fukagawa, Y.; Morita, Y.; Nakazawa, S.; Nishio, S.; Tsuboi, S.; Yamada, M.

2005-01-01

Low frequency and small-scale fluctuations of density and potential near the last closed flux surface are investigated by using Langmuir probes for the second harmonic ECH plasmas in a helical-axis heliotron device, Heliotron J. The existence of a plasma layer with a radial electric field shear was indicated near the last closed flux surface. Near this layer, the reversal of phase velocity and de-correlation of the fluctuations were observed. On the other hand, it is suggested that a considerable fraction of the fluctuation induced particle flux is carried off through the intermittent events. Preliminary analyses to classify the PDFs of the ion-saturation current fluctuation as stable Levy distributions demonstrate that the Levy index decreases from the inner to the outer region of edge plasma, suggesting that the PDFs near the boundary region of Heliotron J are nearly Gaussian, whereas at the outer regions of plasma they become strongly non-Gaussian

The Effects of Price Stabilization on Short-Term Returns of IPOs

Directory of Open Access Journals (Sweden)

Douglas Beserra Pinheiro

2011-12-01

Full Text Available During the price stabilization in IPOs the underwriter repurchases part of the issue (ASC for aftermarket short covering. Such activity raises question about its real purpose: to keep price artificially high and deceive investors, or avoid price fluctuation resulting from the initial flow of information and the action of flippers. Our analysis indicates that in the post stabilization period stabilized IPOs underperform non-stabilized ones; the higher the intensity of the stabilization the lower are post-stabilization returns; IPOs for which the overallotment is fully covered in the ASC underperform non-stabilized IPOs in the post-stabilization period; the same does not happen when the ASC is only partial. Therefore, both views of the stabilization process are partially right: in some cases, stabilization is used to avoid price volatility and in other cases to keep price artificially high.

Prices regulation in price-cap: the lessons of the british gas industry; Reglementations tarifaires en price-cap: les lecons de l'industrie gaziere anglaise

Energy Technology Data Exchange (ETDEWEB)

David, L.

2003-07-01

This article examines the problem of the price-cap regulation applied to the british gas transport. The RPI-X cap is a particular form of the price cap. This cap seems to be more remunerative for the regulatory firm than a cap calculated on the Laspeyres index because it authorizes a greater freedom of prices choice, to the prejudice of the consumers. Facing these perverse effects, Cowan proposed in 1997 a new system, not more satisfying. Another equation is analyzed in this article, proposed by Ofgem. Meanwhile this system presents no improvement of the consumers surplus facing the RPI-X cap. (A.L.B.)

Application of Derivatives Market for Controlling Risks of Commodity Prices

Directory of Open Access Journals (Sweden)

Rasuolė Drazdauskienė

2015-05-01

Full Text Available The issue of raw milk procurement cost level and fluctuation which inhibits strengthening negotiating positions of dairy product fabricants and probability of them staying competitive in the European Union, is examined. Scientific literature that analyzes risks of staple prices is overviewed in the article. The paper provides statistical data representing the situation of Lithuania in contrast with European Union rates. Global usage of prospective transactions and their possible influence on price regulation are analyzed. After examining statistical data and academic literature, conclusions are provided.

The asymmetric effect of coal price on the China's macro economy using NARDL model

Science.gov (United States)

Hou, J. C.; Yang, M. C.

2016-08-01

The present work endeavors to explore the asymmetric effect of coal price on the China's macro economy by applying nonlinear autoregressive distributed lag (NARDL) model for the period of January 2005 to June 2015. The obtained results indicate that the coal price has a strong asymmetric effect on China's macro economy in the long-run. Namely one percent increase in coal price leads to 0.6194 percent of the China's macro economy increase; and while the coal price is reduces by 1 percent, the China's macro economy will decrease by 0.008 percent. These data indicate that when coal price rises, the effect on China's macro economy is far greater than the price decline. In the short-run, coal price fluctuation has a positive effect on the China's macro economy.

Study on the Shock-transmission Mechanism of Stock Price among China, Russia and India

Directory of Open Access Journals (Sweden)

Menggen Chen

2014-08-01

Full Text Available Researchers pay more and more attention on the price comovement-effect among international stock markets. This paper deals with the transmission mechanism of price shocks among three stock markets of China, Russia and India, with a sample of weekly returns. The results showed that the price fluctuation of each market has an influence on other markets, although the price behavior is significantly independent. The impact of external price innovations will last 5 or 6 weeks usually and disappear after about 8 weeks. The pattern of transmission-mechanism for the price shocks is very different from each other. Besides, a further study revealed that the influence of external shocks on the domestic stock price increased significantly among the three markets after the 2008 international financial crisis.

Analysis on 'new fundamentals' and range of oil price trend in the long run

Energy Technology Data Exchange (ETDEWEB)

Rui, Chen

2010-09-15

The range of trend of oil price will be decided by marginal production cost of crude oil and production cost of alternative energy consumed as transportation fuel on a large scale. The former factor determines the lower limit and the latter determines the upper limit of oil price. financial factors and the value of USD will not only affect the short-term change of oil price, they may become fundamentals factors that exert influence on the mid-long term change of oil price, namely, New Fundamentals, which will determine the fluctuation degree of oil price in the long run.

The impacts of oil price fluctuations on the economy of sub-Saharan African countries, importers of oil products

International Nuclear Information System (INIS)

Sacko, I.

1997-01-01

This work comprises three parts. The first part aims at presenting the energy situation of sub-Saharan African (SSA) countries grouped in five regions. Because of the demographic pressure and of the petroleum shocks, the commercial energy consumption is growing up rapidly and the energy prices are high for the end-users (because the energy is imported and paid in dollars, and the fiscality share is increased by governments in the case of prices drop in the international market). The important problem of wood fuel is considered, together with the energy-economic growth relations and the determining factors of the energy demand in SSA. Some econometric relations are tested. The second part analyzes the mechanisms generated by petroleum shocks and counter-shocks, and stresses first on the transfers induced by these fluctuations. Then, it presents some macro-economical models which try to integrate the effects of a petroleum shock and makes some calculations based on a decomposition of imports and exports global and partial coefficients. Some important conclusions are inferred from this study: 1 - the second petroleum shock strikes more seriously the oil importing SSA countries because they do not benefit from a favorable international context, like during the first shock (also because the second shock is accompanied by a dollar shock); 2 - the absence of symmetry in oil shocks-counter-shocks; 3 - the crisis of SSA countries is not only of petroleum origin but is also linked with the drop of the export incomes (which itself is partially explained by the impact of petroleum shocks on the industrialized economies), with their bad insertion in the world economy, and with unsuitable domestic economies. The third part proposes some solutions to attenuate the energy and economical difficulties of these countries. It is necessary to implement an energy planning mainly based on the mastery of the demand and on a better management of local resources. The policies of

A comparison of generic drug prices in seven European countries: a methodological analysis.

Science.gov (United States)

Wouters, Olivier J; Kanavos, Panos G

2017-03-31

Policymakers and researchers frequently compare the prices of medicines between countries. Such comparisons often serve as barometers of how pricing and reimbursement policies are performing. The aim of this study was to examine methodological challenges to comparing generic drug prices. We calculated all commonly used price indices based on 2013 IMS Health data on sales of 3156 generic drugs in seven European countries. There were large differences in generic drug prices between countries. However, the results varied depending on the choice of index, base country, unit of volume, method of currency conversion, and therapeutic category. The results also differed depending on whether one looked at the prices charged by manufacturers or those charged by pharmacists. Price indices are a useful statistical approach for comparing drug prices across countries, but researchers and policymakers should interpret price indices with caution given their limitations. Price-index results are highly sensitive to the choice of method and sample. More research is needed to determine the drivers of price differences between countries. The data suggest that some governments should aim to reduce distribution costs for generic drugs.

Oil prices and stocks in the second quarter of 2004

International Nuclear Information System (INIS)

2004-01-01

Notwithstanding forecasting difficulties, the oil supply and demand balance has proved to be a good indicator of the state of the market and stock levels, which, in turn, influence price behaviour. In periods where OECD commercial stock levels lie within a certain range, currently around 2,450-2,650 million barrels, the range of prices is larger than when stock levels are very high or very low. In both the latter extreme situations, prices are prone to rapid movements, undermining market stability. Other factors, of course, also influence price fluctuations. The general opinion among regularly published oil market reports points to the inevitability of a higher-than-normal build in stocks in the second quarter of 2004. If the resulting surplus is not handled in a timely and effective manner, there is likely to be excessive downward pressure on prices, which, if left unattended, would lead to a protracted spell of volatility. (Author)

Dynamic Modeling of CDS Index Tranche Spreads

DEFF Research Database (Denmark)

Dorn, Jochen

This paper provides a Market Model which implies a dynamics for standardized CDS index tranche spreads, i.e. tranches which securitise CDS index series and dispose of predefined subordination. This model is useful for pricing options on tranches with future Issue Dates as well as for modeling...... options on structured credit derivatives. With the upcoming regulation of the CDS market in perspective, the model presented here is also an attempt to face the effects on pricing approaches provoked by an eventual Clearing Chamber . It becomes also possible to calibrate Index Tranche Options with bespoke...... tenors/tranche subordination to market data obtained by more liquid Index Tranche Options with standard characteristics....

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...

Option Pricing with Asymmetric Heteroskedastic Normal Mixture Models

DEFF Research Database (Denmark)

Rombouts, Jeroen V. K; Stentoft, Lars

2015-01-01

We propose an asymmetric GARCH in mean mixture model and provide a feasible method for option pricing within this general framework by deriving the appropriate risk neutral dynamics. We forecast the out-of-sample prices of a large sample of options on the S&P 500 index from January 2006 to December...

Sensitivities and Tipping Points of Power System Operations to Fluctuations Caused by Water Availability and Fuel Prices

Science.gov (United States)

O'Connell, M.; Macknick, J.; Voisin, N.; Fu, T.

2017-12-01

The western US electric grid is highly dependent upon water resources for reliable operation. Hydropower and water-cooled thermoelectric technologies represent 67% of generating capacity in the western region of the US. While water resources provide a significant amount of generation and reliability for the grid, these same resources can represent vulnerabilities during times of drought or low flow conditions. A lack of water affects water-dependent technologies and can result in more expensive generators needing to run in order to meet electric grid demand, resulting in higher electricity prices and a higher cost to operate the grid. A companion study assesses the impact of changes in water availability and air temperatures on power operations by directly derating hydro and thermo-electric generators. In this study we assess the sensitivities and tipping points of water availability compared with higher fuel prices in electricity sector operations. We evaluate the impacts of varying electricity prices by modifying fuel prices for coal and natural gas. We then analyze the difference in simulation results between changes in fuel prices in combination with water availability and air temperature variability. We simulate three fuel price scenarios for a 2010 baseline scenario along with 100 historical and future hydro-climate conditions. We use the PLEXOS electricity production cost model to optimize power system dispatch and cost decisions under each combination of fuel price and water constraint. Some of the metrics evaluated are total production cost, generation type mix, emissions, transmission congestion, and reserve procurement. These metrics give insight to how strained the system is, how much flexibility it still has, and to what extent water resource availability or fuel prices drive changes in the electricity sector operations. This work will provide insights into current electricity operations as well as future cases of increased penetration of variable

Mechanistic approach to generalized technical analysis of share prices and stock market indices

Science.gov (United States)

Ausloos, M.; Ivanova, K.

2002-05-01

Classical technical analysis methods of stock evolution are recalled, i.e. the notion of moving averages and momentum indicators. The moving averages lead to define death and gold crosses, resistance and support lines. Momentum indicators lead the price trend, thus give signals before the price trend turns over. The classical technical analysis investment strategy is thereby sketched. Next, we present a generalization of these tricks drawing on physical principles, i.e. taking into account not only the price of a stock but also the volume of transactions. The latter becomes a time dependent generalized mass. The notion of pressure, acceleration and force are deduced. A generalized (kinetic) energy is easily defined. It is understood that the momentum indicators take into account the sign of the fluctuations, while the energy is geared toward the absolute value of the fluctuations. They have different patterns which are checked by searching for the crossing points of their respective moving averages. The case of IBM evolution over 1990-2000 is used for illustrations.

Correlations and fluctuations '98. Collected abstracts

International Nuclear Information System (INIS)

Csoergoe, T.; Hegyi, S.; Hwa, R.C.; Jancso, G.

1998-01-01

The proceedings of the 8. International workshop on multiparticle production contains the abstracts of papers on various topics of correlations and fluctuations. Hydrodynamic models, Bose-Einstein correlations, hadron-hadron interactions, heavy ion reactions are discussed in detail. 54 items are indexed separately for the INIS database. (K.A.)

The Relationship between Macroeconomic Variables and ISE Industry Index

Directory of Open Access Journals (Sweden)

Ahmet Ozcan

2012-01-01

Full Text Available In this study, the relationship between macroeconomic variables and Istanbul Stock Exchange (ISE industry index is examined. Over the past years, numerous studies have analyzed these relationships and the different results obtained from these studies have motivated further research. The relationship between stock exchange index and macroeconomic variables has been well documented for the developed markets. However, there are few studies regarding the relationship between macroeconomic variables and stock exchange index for the developing markets. Thus, this paper seeks to address the question of whether macroeconomic variables have a significant relationship with ISE industry index using monthly data for the period from 2003 to 2010. The selected macroeconomic variables for the study include interest rates, consumer price index, money supply, exchange rate, gold prices, oil prices, current account deficit and export volume. The Johansen’s cointegration test is utilized to determine the impact of selected macroeconomic variables on ISE industry index. The result of the Johansen’s cointegration shows that macroeconomic variables exhibit a long run equilibrium relationship with the ISE industry index.

ECONOMETRIC’S MODEL: THE DEPENDENCE OF PFTS INDEX FROM ECONOMICS RANKS

Directory of Open Access Journals (Sweden)

K. Cherkashyna

2013-11-01

Full Text Available Dynamics of stock index is an indicator of market efficiency. We use the strong form of market efficiency, where prices reflect all available information, – both public and private. National index PFTS and main world indexes such as Dow Jones industrial, Standard & Poor’s 500, Nasdaq composite, Japan’s Nikkei index, Hong Kong’s Hang Seng index are very volatility. Last week all of the major U.S. stock indexes were in the red. Data dependence index PFTS from many exogenous and internal factors is analyzed in the article. The main exogenous factors are Dow Jones industrial, Nasdaq composite, growth rate of world GDP, price of gold, price of oil. The main internal factors are the exchange rate, the international investment position of Ukraine, the external debt of Ukraine. Index PFTS is malleable from the international investment position, the exchange rate and the price of gold. It is very difficult to forecast the dynamic of stock index. There is an approximation error. It is 6,82%. It is less than 10% and it is allowable. The econometric model makes it possible to predict the dynamics of the PFTS on the next years. But we must have in mind asymmetry of information and moral hazard.

Coal Price Forecasting and Structural Analysis in China

Directory of Open Access Journals (Sweden)

Xiaopeng Guo

2016-01-01

Full Text Available Coal plays an important role in China’s energy structure and its price has been continuously decreasing since the second half of 2012. Constant low price of coal affected the profits of coal enterprises and the coal use of its downstream firms; the precision of coal price provides a reference for these enterprises making their management strategy. Based on the historical data of coal price and related factors such as port stocks, sales volume, futures prices, Producer Price Index (PPI, and crude oil price rate from November 2013 to June 2016, this study aims to forecast coal price using vector autoregression (VAR model and portray the dynamic correlations between coal price and variables by the impulse response function and variance decomposition. Comparing predicted and actual values, the root mean square error (RMSE was small which indicated good precision of this model. Thus this short period prediction can help these enterprises make the right business decisions.

The downs and ups of the consumer price index in Argentina: From National Statistics to Big Data

Directory of Open Access Journals (Sweden)

Celia Lury

2014-07-01

Full Text Available On the 5th of February 2007, the Institute of National Statistics and Census in Argentina (INDEC released a press statement, giving a percentage figure for that month’s Consumer Price Index (CPI-GBA. Since the announcement, this number and its subsequent variations have been at the centre of a national and international political, legal and technical controversy. The legitimacy of the numerical value of the percentage has been called into question by a range of actors and has been challenged by the emergence of multiple alternative indicators of inflation. We explore this methodological controversy through the lens of statactivism. We do not describe the controversy in its entirety, but, rather, enter the controversy to develop a comparison of the procedures informing the production of the CPI as a national statistic with those informing its production as a big data number. In both cases, we explore the way in which price is produced as an indicator. In doing so we draw attention to the significance of calculative infrastructures as ubiquitous, multi-layered processes of connectivity, that have the capacity to make surfaces, to draw lines and boundaries, and to enable particular economic and political activities to unfold in multiple and specific ways. We argue that the capacity to connect, to attach and detach, that is immanent to such infrastructures configures price as an indicator in particular ways, and in doing so help make what we call state space, a term which we use to draw attention to how specific configurations of connectivity in the calculative infrastructure enacts a space of possibility for statactivism

Inflation impact of food prices: Case of Serbia

Directory of Open Access Journals (Sweden)

Šoškić Dejan

2015-01-01

Full Text Available Food prices traditionally have an impact on inflation around the world. Movements in these prices are coming more from the supply side, then from the demand side. If treated as a supply shock, monetary policy should not react. However, food prices are part of headline inflation that is an official target for most central banks. Serbia conducts Inflation targeting and faces serious challenges with food price volatility. Food price volatility in Serbia hampers inflation forecasting, and may have a negative influence on inflationary expectations and public confidence in (i.e. credibility of the Central bank, all of crucial importance for success of Inflation targeting. There are several important possible improvements that may decrease volatility of food prices but also limit negative impact of food price volatility on Consumer Price Index (CPI as a measure of inflation. These improvements are very important for success of Inflation targeting in Serbia.

IMO and stakeholders looking for improvements: Pricing system under scrutiny

International Nuclear Information System (INIS)

Anon

2002-01-01

Changing the way of how Ontario's electric market clearing price is established has been announced by the Independent Market Operator, in response to excessive price fluctuations following deregulation, and in spite of the considerable concern about how any change to the pricing system might affect investor confidence. To tackle the issue, an internal team was formed, with input to this team through the IMO's Marker Operations Standing Committee. The following pricing issues are considered to be in need of attention: (1) the discrepancy between real-time prices and published pre-dispatch prices; (2) the difference between prices paid for imported power and domestic power during times of shortage; (3) the inclusion of various factors, such as the additional cost of imported power in non-competitive parts of energy bills known as 'uplift charges'; (4) the failure of the market clearing price to reflect the value of power; (5) the use of non-market procedures that have an effect on price; and (6) adjustments to the offer stack designed to reduce volatility during ramp-up periods. The IMO emphasized its keen awareness of how much investor confidence is predicated on the assumption that market conditions alone will determine prices. Accordingly, its actions are guided strictly by the desire to support reliability and are not intended to be seen as intervening in the competitive market

Simulation Analyses of Behaviours of Spatially Extended Predator-Prey Systems with Random Fluctuations

Directory of Open Access Journals (Sweden)

ISHIKAWA, M.

2008-04-01

Full Text Available We often observe some kind or another of random fluctuations in physical, chemical and social phenomena to a greater or lesser extent. The analysis of influence of such fluctuations on phenomena is very important as a basic problem in various fields including design and planning of controlled systems in control engineering and analysis of option pricing in economics. In this paper, focusing on biological communities, we study the influence of the random fluctuations on predator-prey systems with diffusion. Noting that interaction of phytoplankton and zooplankton is the basis of a food chain in the lake and the ocean, we consider the two-species predator-prey systems consists of phytoplankton and zooplankton. We analyze the influence of the random fluctuations on the spatio-temporal patterns generated by phytoplankton and zooplankton by the numerical simulations.

Pricing of Traffic Light Options and other Correlation Derivatives

DEFF Research Database (Denmark)

Kokholm, Thomas

This paper considers derivatives with payoffs that depend on a stock index and underlying LIBOR rates. A traffic light option pricing formula is derived under lognormality assumptions on the underlying processes. The traffic light option is aimed at the Danish life and pension sector to help...... the pricing of a hybrid derivative known as the EUR Sage Note. The approach can be used to price many existing structured products....

Asymmetric multi-fractality in the U.S. stock indices using index-based model of A-MFDFA

International Nuclear Information System (INIS)

Lee, Minhyuk; Song, Jae Wook; Park, Ji Hwan; Chang, Woojin

2017-01-01

Highlights: • ‘Index-based A-MFDFA’ model is proposed to assess the asymmetric multi-fractality. • The asymmetric multi-fractality in the U.S. stock indices are investigated using ‘Index-based’ and ‘Return-based’ A-MFDFA. • The asymmetric feature is more significantly identified by ‘Index-based’ model than ‘return-based’ model. • Source of multi-fractality and time-varying features are analyzed. - Abstract: We detect the asymmetric multi-fractality in the U.S. stock indices based on the asymmetric multi-fractal detrended fluctuation analysis (A-MFDFA). Instead using the conventional return-based approach, we propose the index-based model of A-MFDFA where the trend based on the evolution of stock index rather than stock price return plays a role for evaluating the asymmetric scaling behaviors. The results show that the multi-fractal behaviors of the U.S. stock indices are asymmetric and the index-based model detects the asymmetric multi-fractality better than return-based model. We also discuss the source of multi-fractality and its asymmetry and observe that the multi-fractal asymmetry in the U.S. stock indices has a time-varying feature where the degree of multi-fractality and asymmetry increase during the financial crisis.

The evolution of electricity prices in an uncertain world. Contracting and managing the price risk

International Nuclear Information System (INIS)

Vassilopoulos, Ph.; Rapin, D.

2004-01-01

With the liberalization of the electricity market, the large industrial consumers saw their electric bill changing nature. Before, this price reflected a long term negotiation with the monopoly, now it is established in a free way via wholesale markets. This evolution marks a transfer of the management of price risk from the producer towards the consumer. This change is not in itself a problem if the hedging instruments are adapted. We note a contamination of the price of the derivative products by the spot while at the same time the traditional relation between cash and term is not always valid for electricity because of its non storability. When well even the price of the derivative products would be formed in an autonomous way, it poses a second problem: that of their indexing on price references like Platt's whose result is assimilated more to a survey of large producers than a true confrontation of supply and demand. This article proposes to examine this change of nature and behaviour of electricity prices. After having explained the intrinsically volatile characteristic of spot prices, we will recall that the products in the long term are not always optimal solutions to decrease this price risk. Lastly, we will highlight a solution of skirting at the risks mentioned above: contracting between producers and consumers. (authors)

AR(p) -based detrended fluctuation analysis

Science.gov (United States)

Alvarez-Ramirez, J.; Rodriguez, E.

2018-07-01

Autoregressive models are commonly used for modeling time-series from nature, economics and finance. This work explored simple autoregressive AR(p) models to remove long-term trends in detrended fluctuation analysis (DFA). Crude oil prices and bitcoin exchange rate were considered, with the former corresponding to a mature market and the latter to an emergent market. Results showed that AR(p) -based DFA performs similar to traditional DFA. However, the former DFA provides information on stability of long-term trends, which is valuable for understanding and quantifying the dynamics of complex time series from financial systems.

STOCK PRICES OF DOMESTIC BANKING SECTOR AND EXTERNAL SHOCKS IN EAST ASIA

OpenAIRE

Masahiro Inoguchi

2011-01-01

This paper examines the impact of price fluctuations in foreign stock markets on the stock prices of domestic banks’ stocks to explore if and how external shocks have affected the banking system in Korea, Malaysia, Singapore, and Thailand during the 2000s. Some researchers insist that domestic banks in East Asia were less affected by the 2007–2009 global financial crisis. However, few previous articles have investigated how the banking sector in East Asia has been affected by external shocks....

Examining the short-run price elasticity of gasoline demand in the United States

Science.gov (United States)

Brannan, Michael James

Estimating the consumer demand response to changes in the price of gasoline has important implications regarding fuel tax policies and environmental concerns. There are reasons to believe that the short-run price elasticity of gasoline demand fluctuates due to changing structural and behavioral factors. In this paper I estimate the short-run price elasticity of gasoline demand in two time periods, from 2001 to 2006 and from 2007 to 2010. This study utilizes data at both the national and state levels to produce estimates. The short-run price elasticities range from -0.034 to -0.047 during 2001 to 2006, compared to -0.058 to -0.077 in the 2007 to 2010 period. This paper also examines whether there are regional differences in the short-run price elasticity of gasoline demand in the United States. However, there appears to only be modest variation in price elasticity values across regions.

Do OPEC announcements influence oil prices?

International Nuclear Information System (INIS)

Loutia, Amine; Mellios, Constantin; Andriosopoulos, Kostas

2016-01-01

This paper investigates the effect of OPEC production decisions (increase, cut, maintain) on both WTI and Brent crude oil prices between Q1 1991 and Q1 2015 by employing the event study methodology and by using two indices as benchmarks (BCI and S&P GSCI). We employ an EGARCH model to take into account the high volatility of oil prices and some stylized facts characterizing this volatility. We find that the impact of OPEC’s announcements on oil prices (i)evolves over time and among decisions, (ii) is more significant for production cut and maintain, (iii) is different for WTI and Brent prices, and (iv) is sensitive to the benchmark index. Moreover, OPEC’s decisions depend on the exploration and extraction cost of more expensive/unconventional oil resources. - Highlights: • The impact of OPEC's production decisions on both BRENT and WTI is examined. • We adopt the event study methodology. • An EGARCH model is used to capture some features characterizing oil prices volatility. • OPEC decisions effect changes over time and depends on production decisions and oil prices. • OPEC is less influential when prices are high and unconventional resources are viable.

Domestic policy responses to the food price crisis: The case of Bolivia

Directory of Open Access Journals (Sweden)

Harald Grethe

2011-12-01

Full Text Available In face of the global food crisis of 2007–2008, severe concerns arose about how developing countries would be affected by the extreme short-term fluctuations in international commodity prices. We examine the effects of the crisis on Bolivia, one of the poorest countries of the Americas. We focus on the effectiveness of the domestic policy interventions in preventing spillovers of the development of international food prices to domestic markets. Using a cointegration model, we study price interdependencies of wheat flour, sunflower oil and poultry. The analysis suggests that the policy measures taken had little effect on food security during the food crisis. Throughout the entire period, perfect price transmission between the Bolivian poultry and sunflower oil markets and the respective international reference markets existed. Bolivian prices were determined by international prices and the policy interventions in the markets of these two commodities were not found to have had an effect. The government’s large-scale wheat flour imports did not shield Bolivian consumers from the shocks of international prices.

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

Crude oil price dynamics: A study on effects of market expectation and strategic supply on price movements

Science.gov (United States)

Jin, Xin

Recent years have seen dramatic fluctuations in crude oil prices. This dissertation attempts to better understand price behavior. The first chapter studies the behavior of crude oil spot and futures prices. Oil prices, particularly spot and short-term futures prices, appear to have switched from I(0) to I(1) in early 2000s. To better understand this apparent change in persistence, a factor model of oil prices is proposed, where the prices are decomposed into long-term and short-term components. The change in the persistence behavior can be explained by changes in the relative volatility of the underlying components. Fitting the model to weekly data on WTI prices, the volatility of the persistent shocks increased substantially relative to other shocks. In addition, the risk premiums in futures prices have changed their signs and become more volatile. The estimated net marginal convenience yield using the model also shows changes in its behavior. These observations suggest that a dramatic fundamental change occurred in the period from 2002 to 2004 in the dynamics of the crude oil market. The second chapter explores the short-run price-inventory dynamics in the presence of different shocks. Classical competitive storage model states that inventory decision considers both current and future market condition, and thus interacts with spot and expected future spot prices. We study competitive storage holding in an equilibrium framework, focusing on the dynamic response of price and inventory to different shocks. We show that news shock generates response profile different from traditional contemporaneous shocks in price and inventory. The model is applied to world crude oil market, where the market expectation is estimated to experience a sharp change in early 2000s, together with a persisting constrained supply relative to demand. The expectation change has limited effect on crude oil spot price though. The world oil market structure has been studied extensively but no

An analysis of macroeconomic fluctuations for a small open oil-based economy: The case of Saudi Arabia

Science.gov (United States)

Al-Abdulkarim, Bander B.

The increasing fluctuations in the oil prices through the last decades have been transferred to the oil exporting countries. Thus, many oil exporting countries experienced significant changes in the economic activity due to changes in the oil markets. In light of this, oil exporting countries have attempted to implement a policy that would stabilize the fluctuations in the oil markets recognizing the adverse effects of such behavior on oil exporting countries, as well as oil importing countries. Saudi Arabia, as the largest oil-exporting country and a member of OPEC, takes the role of oil-markets stabilizer by behaving as the swing producer. This role has caused the global economic fluctuations to transfer into the domestic economy. In addition, Saudi Arabian government has adopted a fixed exchange rate currency regime. Although it has contributed to domestic price stabilizations, this policy has also exposed the country to global economic disturbances. The purpose of the study is to empirically investigate these aspects for Saudi Arabia. First, the effects of shocks originated in the international markets on the Saudi Arabian economy. Second, how the fixed exchange rate regimes influences the domestic macroeconomic variables. Third, to what extent the oil sector contributes to the non-oil domestic fluctuations. Finally, how the findings from the study can be explained by economic theory. In pursuing this, there are four economic theories that are considered to explain the causes of business cycles. These theories are Classical Theory, Keynesian Theory, Monetarist Theory, and the Real Business Cycles. In addition, a theoretical model is derived that is suitable for an oil-based economy. The model follows the set up of McCallum and Nelson (1999). Then, the empirical models of Structural Vector Autoregression (SVAR) and Error Correction Model (ECM) are implemented with three different specifications: Choleski Decomposition, Block Exogeneity and long-run Cointegration

Alternative Monetary Policy Rules in a Small Open Economy with Financial Frictions: The Case of Korea

Directory of Open Access Journals (Sweden)

Yongseung Jung

2011-09-01

Full Text Available This paper first shows an empirical result of VAR that Korean economy has experienced a severe economic contraction to an exogenous country spread shock. To analyze the effect of alternative monetary policy on the economy, the paper sets up a multi-sector small open economy new Keynesian (NK hereafter model with financial frictions due to asymmetric information between firms and financial intermediaries along the line of Bernanke et al. (1999. It shows that the small economy with financial frictions is more vulnerable to the exogenous shocks such as the foreign exchange rate shock under the fixed exchange rate regime than under the flexible exchange regime. It also shows that the interest rate rule that responds to financial market conditions is better than any other interest rate rules only if it does not react to the exchange rate fluctuations. Moreover, an interest rate rule that responds to the exchange rate fluctuations, i.e. the monetary policy under the managed floating exchange rate regime is inferior to the monetary policy rules that do not respond to the exchange rate fluctuations. Finally, it shows that the monetary authority needs to stabilize a narrow price index such as domestic price index rather than a general price index such as consumer price index under the financial friction circumstances.

Pricing for finished products of the enterprise: accounting and analytical aspect

Directory of Open Access Journals (Sweden)

N.L. Pravdyuk

2017-03-01

Full Text Available The pricing policy chosen by the enterprise in respect of goods and finished products of own production, has a decisive influence on the formation of financial results. In modern economic conditions we need to strengthen managerial decisions on the choice and carrying out price policy and a means of solving this problem is accounting. To determine the boundaries and competence of decision-making we analyzed the regulation of these terms and processes, as well as the dynamics of the stocks across sectors of the economy, the consumer price index, producer price index, the price index of realization of industrial products. Widely used data analytical reviews of the national Bank of Ukraine, enterprises' expectations regarding efficiency, the analysis of financial market indicators, etc. Established that the provision of information management pricing of goods shall conform to the requirements of the economy, by deepening complexity of accounting, to ensure the needs of consumers. According to the study substantiates the basics of accounting and analytical aspect of the pricing policy for finished products businesses. In the study of pricing policies in respect of goods in accounting and analytical aspect, we have established the following. The existing normative-legal acts and definitions of researchers on economic and accounting analysis of the concept give a sufficiently wide interpretation, which depends on the orientation and activity of the enterprise. Factors and points of influence on the efficiency of the pricing policy are: information support of process of pricing assessment of pricing factors, establish the objectives of price policy, assessment of customer demand, cost analysis, competition analysis, selecting a pricing method that measures the price adjustment, the evaluation price risk. The economic impact of the market environment is the most significant to the pricing policy of agricultural enterprises, which revealed the analysis

A reexamination of the crude oil price-unemployment relationship in the United States

International Nuclear Information System (INIS)

Uri, N.D.; Boyd, R.

1996-01-01

This study begins by asking whether fluctuations in the price of crude oil have affected employment and the rate of unemployment in the US. After reviewing previous assessments of the issue, the existence of an empirical relationship between the rate of unemployment and crude oil price volatility is established using Granger causality. Subsequently, the nature of the relationship is estimated with the results suggesting that at least three full years are required before the measurable impact of a percentage change in the real price of crude oil on the change in unemployment is exhausted. Finally, the structural stability of the functional relationship between the change in unemployment and the volatility of the price of crude oil and the percentage change in gross national product is examined

BUDGET NORMALIZATION AND PRICING FEATURES IN CONSTRUCTION

Directory of Open Access Journals (Sweden)

M. I. Gadzhieva

2016-01-01

Full Text Available It is proved that the pricing of the construction is different from the pricing system in the industry and other branches of economy, because it has different methodological and organizational approaches. It has been determined that the cost of construction is set on the stage of its design, in the process of concluding investment contracts (construction contracts, as well as directly during construction, major repairs of objects of capital construction, reconstruction and the implementation of certain types of construction and installation works. It has been found that the pricing mechanism in construction is based on the detailed legal and reference documents regulating material consumption rates and prices, taking into account sectoral, territorial and seasonal features of building production. It has been found that under inflation conditions the price index calculation of construction products for investment purposes is of great importance. Mandatory approval of all stakeholders of the construction production method for determining the price of the construction site is proposed.

Market, trading and coal price

International Nuclear Information System (INIS)

Muller, J.C.; Cornot-Gandolphe, S.; Labrunie, L.; Lemoine, St.; Vandijck, M.

2006-01-01

The coal world experienced a true upheaval in the past five years World coal consumption went up 28 % between 2000 and 2005, as a result of the strong growth in Chinese demand. The growth should continue in the coming years: electrical plant builders' orders are mainly for coal. The regained interest in coal is based on the constraints experienced by competing energies (increase in oil and natural gas prices, geopolitical uncertainties, supply difficulties) and by the abundant reserves of coal in the world and the competitiveness of its price. The strong growth in world coal demand comes with a change in rules governing steam coal trading. While long term bilateral agreements were most common until the late nineties, there has been a true revolution in coal marketing since 2000: spot contracts, stock exchange emergence and futures contracts, price indexes. In a few years, the steam coal market has become a true commodities market, overtaking many more goods. The price of coal has also gone through strong variations since 2003. Whereas the price had been stable for decades, in 2004 the strong increase in China' s demand for coal and iron ore resulting in transport shortage, caused a strong increase in CAF coal prices. Since then, prices have gone down, but remain higher than the Eighties and Nineties levels. In spite of the increase, coal remains available at more competitive prices than its competing energies. (authors)

Inflation and the price of oil in Canada

Energy Technology Data Exchange (ETDEWEB)

Globerman, S A [York Univ., Toronto; Bruce, H A

1976-09-01

A current policy concern in North America is how rapidly (if at all) domestic oil prices should be allowed to rise to world levels. An argument frequently used by those advocating control of domestic prices is that further increases in oil prices would impose undue burdens in the form of greater inflation and unemployment. While long-run costs associated with allocative inefficiencies are recognized, critics of policies calling for decontrolling domestic oil prices argue that the short-run costs associated with greater inflation and higher unemployment outweigh the long-run inefficiencies associated with price controls. Estimates of the impacts of increased oil costs are not easy. Three studies by Ontario on the consumer price index are described, and the authors conclude that the figures from these studies are too high. Some results of U.S. studies are cited. (MCW)

The world price of jump and volatility risk

NARCIS (Netherlands)

Driessen, J.; Maenhout, P.

2006-01-01

Jump and volatility risk are important for understanding equity returns, option pricing and asset allocation. This paper is the first to study international integration of markets for jump and volatility risk, using data on index options for each of the three main global markets: US S&P 500 index

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.

48 CFR 552.216-71 - Economic Price Adjustment-Special Order Program Contracts.

Science.gov (United States)

2010-10-01

... updated index, the Contractor shall have waived its right to an upward price adjustment for the balance of... Contractors shall have waived its right to an upward price adjustment for that option period. Alternatively... 48 Federal Acquisition Regulations System 4 2010-10-01 2010-10-01 false Economic Price Adjustment...

A cointegration analysis of wine stock indexes

Directory of Open Access Journals (Sweden)

Sabina Introvigne

2017-12-01

Full Text Available This paper analyzes price patterns and long-run relationships for both fine wine and non-fine wine, with the aim to highlight price dynamics and co-movements between series, and to exploit potential diversification benefits. Data are from Liv-Ex 100 Fine Wine for fine wine, the Mediobanca Global Wine Industry Share Price for normal wine, and the MSCI World Index as a proxy of the overall stock market. Engle-Granger and Johansen tests were used to detect whether and to what extent the series co-move in the long run and which one of the variables contributes proactively to such an equilibrium by reacting to disequilibria from the long-run path. The estimates highlight that i the two wine indexes have a higher Sharpe ratio compared to the general stock market index, revealing wine stocks as a profitable investment per se, and ii the absence of cointegration among the three series and the existence of possible diversification benefits. In fact, in the long-run price do not move together and, therefore, investors may be better off by including wine stocks into investment portfolios and take advantage of diversification

Affordability of cataract surgery using the Big Mac prices

OpenAIRE

Van C. Lansingh; Marissa J. Carter; Kristen A. Eckert; Kevin L. Winthrop; João M. Furtado; Serge Resnikoff

2015-01-01

Purpose: One barrier to cataract surgery is its high price in some countries. This study aims to understand to what extent the price of cataract surgery is over- or undervalued and whether it varies in relation to GDP using The Economist newspaper Big Mac Index (BMcI) methodology, which measures the purchasing power parity between different currencies. Methods: Peer-reviewed articles containing information on cataract surgery prices were searched from 1993 to June 2012 in databases. Ophtha...

Manipulating lightcone fluctuations in an analogue cosmic string

Directory of Open Access Journals (Sweden)

Jiawei Hu

2018-02-01

Full Text Available We study the flight time fluctuations in an anisotropic medium inspired by a cosmic string with an effective fluctuating refractive index caused by fluctuating vacuum electric fields, which are analogous to the lightcone fluctuations due to fluctuating spacetime metric when gravity is quantized. The medium can be realized as a metamaterial that mimics a cosmic string in the sense of transformation optics. For a probe light close to the analogue string, the flight time variance is ν times that in a normal homogeneous and isotropic medium, where ν is a parameter characterizing the deficit angle of the spacetime of a cosmic string. The parameter ν, which is always greater than unity for a real cosmic string, is determined by the dielectric properties of the metamaterial for an analogue string. Therefore, the flight time fluctuations of a probe light can be manipulated by changing the electric permittivity and magnetic permeability of the analogue medium. We argue that it seems possible to fabricate a metamaterial that mimics a cosmic string with a large ν in laboratory so that a currently observable flight time variance might be achieved.

Manipulating lightcone fluctuations in an analogue cosmic string

Science.gov (United States)

Hu, Jiawei; Yu, Hongwei

2018-02-01

We study the flight time fluctuations in an anisotropic medium inspired by a cosmic string with an effective fluctuating refractive index caused by fluctuating vacuum electric fields, which are analogous to the lightcone fluctuations due to fluctuating spacetime metric when gravity is quantized. The medium can be realized as a metamaterial that mimics a cosmic string in the sense of transformation optics. For a probe light close to the analogue string, the flight time variance is ν times that in a normal homogeneous and isotropic medium, where ν is a parameter characterizing the deficit angle of the spacetime of a cosmic string. The parameter ν, which is always greater than unity for a real cosmic string, is determined by the dielectric properties of the metamaterial for an analogue string. Therefore, the flight time fluctuations of a probe light can be manipulated by changing the electric permittivity and magnetic permeability of the analogue medium. We argue that it seems possible to fabricate a metamaterial that mimics a cosmic string with a large ν in laboratory so that a currently observable flight time variance might be achieved.

Effects of fuel price fluctuation on individual CO2 traffic emissions : empirical findings from pseudo panel data

NARCIS (Netherlands)

Yang, D.; Timmermans, H.J.P.

2012-01-01

Globalized concerns about greenhouse gasses and increased energy consumptions have stimulated research in transportation about the relationships between fuel prices and emissions. Many researchers have found that higher fuel price can reduce fuel consumption and CO2 emissions through a number of

Volatile behaviour of enrichment uranium in the total nuclear fuel price

International Nuclear Information System (INIS)

Arnaiz, J.; Inchausti, J. M.; Tarin, F.

2004-01-01

In this article the historical high volatile behaviour of the total nuclear fuel price is evaluated quantitatively and it is concluded that it has been due mainly to the fluctuations of the price of the principal components of enriched uranium (concentrates and enrichment). In order to avoid the negative effects of this volatiles behaviour as far as possible, a basic strategy in the uranium procurement activities is recommended (union of buyers, diversification of supplier, stock management, optimisation of contract portfolio and suitable currency management that guarantees a reliable uranium supply at reasonable prices. These guidelines are those that ENUSA has been following on behalf of the Spanish Utilities in the Commission of Uranium Procurement (CAU in Spanish). (Author) 11 refs

Fluctuation behaviors of financial return volatility duration

Science.gov (United States)

Niu, Hongli; Wang, Jun; Lu, Yunfan

2016-04-01

It is of significantly crucial to understand the return volatility of financial markets because it helps to quantify the investment risk, optimize the portfolio, and provide a key input of option pricing models. The characteristics of isolated high volatility events above certain threshold in price fluctuations and the distributions of return intervals between these events arouse great interest in financial research. In the present work, we introduce a new concept of daily return volatility duration, which is defined as the shortest passage time when the future volatility intensity is above or below the current volatility intensity (without predefining a threshold). The statistical properties of the daily return volatility durations for seven representative stock indices from the world financial markets are investigated. Some useful and interesting empirical results of these volatility duration series about the probability distributions, memory effects and multifractal properties are obtained. These results also show that the proposed stock volatility series analysis is a meaningful and beneficial trial.

The Pricing of natural gas

International Nuclear Information System (INIS)

Nese, Gjermund

2004-11-01

The report focuses on the pricing of natural gas. The motivation has been the wish of the Norwegian authorities to increase the use of natural gas and that this should follow market conditions. The pricing of gas occurs at present in various ways in the different markets. The report identifies to main factors behind the pricing. 1) The type of market i.e. how far the liberalization of the gas markets has gone in the various countries. 2) The development within the regulation, climate and tax policies. The gas markets are undergoing as the energy markets in general, a liberalization process where the traditional monopoly based market structures are replaced by markets based on competition. There are great differences in the liberalization development of the various countries, which is reflected in the various pricing principles applied for the trade of gas in the countries. The analysis shows that the net-back-pricing is predominant in some countries i.e. that the price is in various ways indexed towards and follow the development of the price of alternative energy carriers so that the gas may be able to compete. The development towards trade places for gas where the pricing is based on offer and demand is already underway. As the liberalization of the European gas markets progresses it is expected that the gas price will be determined increasingly at spot markets instead of through bilateral agreements between monopolistic corporations. The development within the regulation, climate and tax policies and to what extent this may influence the gas prices in the future, are also studied. There seem to be effects that may pull in both directions but it is evident that these political variables will influence the gas pricing in the international market to a large extent and thereby also the future internal natural gas market

Coffee Index as Quick and Simple Indicator of Purchasing Power Parity

Directory of Open Access Journals (Sweden)

Jakub Fischer

2018-03-01

Full Text Available Purchasing Power Parity is the corner stone of all international comparisons. Various approaches to Purchasing Power Parity, such as the Big Mac Index, KFC Index, iPad Index, Tall Latte Index or Ikea Index were popularized to the broader audience besides the OECD Purchasing Power Parity indices. The aim of this paper is to develop a new ready-to-use quick and simple index based on the prices of Nespresso coffee’s capsules and show the main challenges of such indices as well as of the PPP concept. For the purpose of our research the data on the Nespresso capsules prices were collected. Taking into account also the popularity (demand side of the capsules types, the Espresso line was chosen as the basis for which all further calculations are made. The Nespresso Index provides us with clear evidence that the Law of One Price cannot work in recent world because of three key features. Firstly, differences in taxes make the perfect parity impossible. Secondly, the price discrimination prevents the rational subjects from arbitrage. Finally, the changes in the exchange rate make such indices highly volatile. Despite these weaknesses, the Nespresso Index could be used as the useful supplement of the OECD PPP as it is low cost, easy and fast to compute and digestible for the lay public.

Currency speculation and dollar fluctuations

Directory of Open Access Journals (Sweden)

Stephan Schulmeister

1988-12-01

Full Text Available In this study the reasons behind the wide fluctuations of the dollar exchange rate following the breakdown of the Bretton Woods system, for the most part unexplained by the prevailing exchange rate theories, are explored. To do so, the author investigates the exchange rate between the two most traded currencies, the dollar and the deutschemark, from 1973 to 1988. In the first part, the pattern of the daily exchange rate movements is examined to show that a sequence of upward and downward trends interrupted by non-directional movements is typical of exchange rate dynamics in the short run. Moreover, this pattern is systemically exploited through currency speculation, particularly through the use of “technical analysis”. In the second part, the author focuses on the medium-term, arguing that fluctuations can be explained as the result of interacting disequilibria in the goods and asset markets. Although currency speculation has been systemically profitable for most currencies, it should be considered to be destabilizing since the sequence of price runs caused large and persistent deviations of exchange rates from their equilibrium values (purchasing power parity.

South Africa and United States stock prices and the Rand/Dollar exchange rate

Directory of Open Access Journals (Sweden)

Matthew Ocran

2010-09-01

Full Text Available This paper seeks to examine the dynamic causal relations between the two major financial assets, stock prices of the US and South Africa and the rand/US$ exchange rate. The study uses a mixed bag of time series approaches such as cointegration, Granger causality, impulse response functions and forecasting error variance decompositions.  The paper identifies a bi-directional causality from the Standard & Poor’s 500 stock price index to the rand/US$ exchange rate in the Granger sense. It was also found that the Standard & Poor’s stock price index accounts for a significant portion of the variations in the Johannesburg Stock Exchange’s All Share index. Thus, while causality in the Granger sense could not be established for the relationship between the price indices of the two stock exchanges it can argued that there is some relationship between them. The results of the study have implications for both business and Government.

Commercial Property Index Construction Methodology: A Review on Literature and Practice

Directory of Open Access Journals (Sweden)

Md Nasir Daud

2014-12-01

Full Text Available This paper reviews the literature on commercial property index construction methodology. Alongside this, index construction methodology employed by various organizations in producing existing commercial property indices is also discussed. The aim of the review is to identify the best possible methodology option to adopt in developing Kuala Lumpur Office Price Index (KL - OPI. Among the Asean countries, Singapore is the only country in this region that produces retail and office price index. In the case of Malaysia, this is the first study of this nature in the country, which outcome would be useful indicator for the industry. Having reviewed the existing methodologies of commercial property indices, it is best to model KL-OPI by adopting the hedonic price method

To consume or not. How oil prices affect the comovement of consumption and aggregate wealth

International Nuclear Information System (INIS)

Odusami, Babatunde Olatunji

2010-01-01

This paper provides insight into how oil price movements affect the consumption choices of U.S. households through the wealth channel. Lettau and Ludvigson (2001) show that while consumption, asset wealth, and labor income share a common long-term trend; they substantially deviate from one another in the short run. In this paper, I show that these transitory deviations can be explained by fluctuations in the price of crude oil. Linear and threshold multivariate autoregressive models are used to measure the oil price effect. Oil price effect on the consumption to aggregate wealth ratio is robust to monetary policy effect, sub-period effect, and econometric specifications of oil price effect. Generally speaking, higher (lower) oil price will lead to a decrease (increase) in the proportion of aggregate wealth consumed. In addition, the magnitude of the oil price effect is asymmetric and sub-period dependent. Oil price effect was higher before the 1980's than in succeeding periods. (author)

Stock price forecasting based on time series analysis

Science.gov (United States)

Chi, Wan Le

2018-05-01

Using the historical stock price data to set up a sequence model to explain the intrinsic relationship of data, the future stock price can forecasted. The used models are auto-regressive model, moving-average model and autoregressive-movingaverage model. The original data sequence of unit root test was used to judge whether the original data sequence was stationary. The non-stationary original sequence as a first order difference needed further processing. Then the stability of the sequence difference was re-inspected. If it is still non-stationary, the second order differential processing of the sequence is carried out. Autocorrelation diagram and partial correlation diagram were used to evaluate the parameters of the identified ARMA model, including coefficients of the model and model order. Finally, the model was used to forecast the fitting of the shanghai composite index daily closing price with precision. Results showed that the non-stationary original data series was stationary after the second order difference. The forecast value of shanghai composite index daily closing price was closer to actual value, indicating that the ARMA model in the paper was a certain accuracy.

PRICE AND PRICING STRATEGIES

OpenAIRE

SUCIU Titus

2013-01-01

In individual companies, price is one significant factor in achieving marketing success. In many purchase situations, price can be of great importance to customers. Marketers must establish pricing strategies that are compatible with the rest of the marketing mix. Management should decide whether to charge the same price to all similar buyers of identical quantities of a product (a one-price strategy) or to set different prices (a flexible price strategy). Many organizations, especially retai...

Trends in U.S. food prices, 1950-2007.

Science.gov (United States)

Christian, Thomas; Rashad, Inas

2009-03-01

The potential effect that food prices may have on the health of the U.S. population needs to be further explored, particularly in light of the rising food prices currently being observed. Declining food prices over time have been singled out as a main contributor, for example, to the rising trend in obesity. In this paper we use data from the Bureau of Labor Statistics, the American Chamber of Commerce Researchers Association, the Consumer Expenditure Survey, and the United States Department of Agriculture to analyze trends in various types of food prices, to create a food price index, and to estimate the price of a calorie. Results may be used by future researchers in estimating the health implications of these trends. We find that while the general trend in food prices has been declining, that of restaurant meal prices and prices of fruits and vegetables has risen over time. It is doubtful that the decline in food prices has been sufficiently large to account for the large increase in caloric intake that is said to have contributed to the obesity epidemic in the U.S.

Daily House Price Indices: Construction, Modeling, and Longer-Run Predictions

DEFF Research Database (Denmark)

Bollerslev, Tim; Patton, Andrew J.; Wang, Wenjing

We construct daily house price indices for ten major U.S. metropolitan areas. Our calculations are based on a comprehensive database of several million residential property transactions and a standard repeat-sales method that closely mimics the methodology of the popular monthly Case-Shiller house...... price indices. Our new daily house price indices exhibit dynamic features similar to those of other daily asset prices, with mild autocorrelation and strong conditional heteroskedasticity of the corresponding daily returns. A relatively simple multivariate time series model for the daily house price...... index returns, explicitly allowing for commonalities across cities and GARCH effects, produces forecasts of monthly house price changes that are superior to various alternative forecast procedures based on lower frequency data....

Natural gas pricing: concepts and international overview

Energy Technology Data Exchange (ETDEWEB)

Gorodicht, Daniel Monnerat [Gas Energy, Rio de Janeiro, RJ (Brazil); Veloso, Luciano de Gusmao; Fidelis, Marco Antonio Barbosa; Mathias, Melissa Cristina Pinto Pires [Agencia Nacional do Petroleo, Gas Natural e Biocombustiveis (ANP), Rio de Janeiro, RJ (Brazil)

2012-07-01

The core of this article is a critical analysis of different forms of pricing of natural gas existing in the world today. This paper is to describe the various scenarios of natural gas price formation models. Along the paper, the context is emphasized by considering their cases of applications and their results. Today, basically, there are three main groups of models for natural gas pricing: i) competition gas-on-gas, i.e., a liberalized natural gas market, II) gas indexed to oil prices or its products and III) bilateral monopolies and regulated prices. All the three groups of models have relevant application worldwide. Moreover, those are under dynamic influence of economic, technological and sociopolitical factors which bring complexity to the many existing scenarios. However, at first this paper builds a critical analysis of the international current situation of natural gas today and its economic relevance. (author)

Survey on how fluctuating petrol prices are affecting Malaysian large city dwellers in changing their trip patterns

Science.gov (United States)

Rohani, M. M.; Pahazri, N.

2018-04-01

Rising fuel prices shocks have a significant impact on the way of life of most Malaysians. Due to the rising of oil prices, the costs of travel for private vehicle users are therefore increasing. The study was conducted based on the objective of studying the impact of rising fuel prices on three types of trip patterns of Malaysians who are living in the city areas. The three types of trip patterns are, workplaces trip, leisure trip and personal purposes trip during the weekdays. This study was conducted by distributing questionnaires to respondents of private vehicle users in selected city such as Johor Bahru, Kuala Lumpur, Putrajaya, Melaka, Perak, Selangor and Kelantan. This study, found that the trip patterns of those who were using their own vehicles had changed after the rising of fuel prices. The changes showed that many private vehicle users were taking steps to save money on petrol by adjusting their trips.

Fluctuations in a Levy flight gas

International Nuclear Information System (INIS)

Fogedby, H.C.; Jensen, H.J.

1991-01-01

We consider the density fluctuations of an ideal Brownian gas of particles performing Levy flights characterized by the index f. We find that the fluctuations scale as ΔN(t)∝t H , where the Hurst exponent H locks onto the universal value 1/4 for Levy flights with a finite root mean square range (f>2). For Levy flights with a finite mean range but infinite root mean square range (1< f<2) the Hurst exponent H=1/2f. For infinite range Levy flights (f<1) the Hurst exponent locks onto the value 1/2. The corresponding power spectrum scales with an exponent 1+2H, independent of dimension. (orig.)

Maxwell electrodynamics subjected to quantum vacuum fluctuations

International Nuclear Information System (INIS)

Gevorkyan, A. S.; Gevorkyan, A. A.

2011-01-01

The propagation of electromagnetic waves in the vacuum is considered taking into account quantum fluctuations in the limits of Maxwell-Langevin (ML) equations. For a model of “white noise” fluctuations, using ML equations, a second order partial differential equation is found which describes the quantum distribution of virtual particles in vacuum. It is proved that in order to satisfy observed facts, the Lamb Shift etc, the virtual particles should be quantized in unperturbed vacuum. It is shown that the quantized virtual particles in toto (approximately 86 percent) are condensed on the “ground state” energy level. It is proved that the extension of Maxwell electrodynamics with inclusion of the vacuum quantum field fluctuations may be constructed on a 6D space-time continuum with a 2D compactified subspace. Their influence on the refraction indexes of vacuum is studied.

The influence of grating shape formation fluctuation on DFB laser diode threshold condition

Science.gov (United States)

Bao, Shiwei; Song, Qinghai; Xie, Chunmei

2018-03-01

Not only the grating material refractive index itself but also the Bragg grating physical shape formation affects the coupling strength greatly. The Bragg grating shape includes three factors, namely grating depth, duty ratio and grating angle. During the lithography and wet etching process, there always will be some fluctuation between the target and real grating shape formation after fabrication process. This grating shape fluctuation will affect the DFB coupling coefficient κ , and then consequently threshold current and corresponding wavelength. This paper studied the grating shape formation fluctuation influence to improve the DFB fabrication yield. A truncated normal random distribution fluctuation is considered in this paper. The simulation results conclude that it is better to choose relative thicker grating depth with lower refractive index to obtain a better fabrication tolerance, while not quite necessary to spend too much effort on improving lithography and wet etching process to get a precisely grating duty ratio and grating angle.