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Sample records for stable markowitz portfolios

  1. Sparse and stable Markowitz portfolios.

    Science.gov (United States)

    Brodie, Joshua; Daubechies, Ingrid; De Mol, Christine; Giannone, Domenico; Loris, Ignace

    2009-07-28

    We consider the problem of portfolio selection within the classical Markowitz mean-variance framework, reformulated as a constrained least-squares regression problem. We propose to add to the objective function a penalty proportional to the sum of the absolute values of the portfolio weights. This penalty regularizes (stabilizes) the optimization problem, encourages sparse portfolios (i.e., portfolios with only few active positions), and allows accounting for transaction costs. Our approach recovers as special cases the no-short-positions portfolios, but does allow for short positions in limited number. We implement this methodology on two benchmark data sets constructed by Fama and French. Using only a modest amount of training data, we construct portfolios whose out-of-sample performance, as measured by Sharpe ratio, is consistently and significantly better than that of the naïve evenly weighted portfolio.

  2. Markowitz portfolio optimization model employing fuzzy measure

    Science.gov (United States)

    Ramli, Suhailywati; Jaaman, Saiful Hafizah

    2017-04-01

    Markowitz in 1952 introduced the mean-variance methodology for the portfolio selection problems. His pioneering research has shaped the portfolio risk-return model and become one of the most important research fields in modern finance. This paper extends the classical Markowitz's mean-variance portfolio selection model applying the fuzzy measure to determine the risk and return. In this paper, we apply the original mean-variance model as a benchmark, fuzzy mean-variance model with fuzzy return and the model with return are modeled by specific types of fuzzy number for comparison. The model with fuzzy approach gives better performance as compared to the mean-variance approach. The numerical examples are included to illustrate these models by employing Malaysian share market data.

  3. Parametric Portfolio Selection: Evaluating and Comparing to Markowitz Portfolios

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    Marcelo C. Medeiros

    2014-10-01

    Full Text Available In this paper we exploit the parametric portfolio optimization in the Brazilian market. Our data consists of monthly returns of 306 Brazilian stocks in the period between 2001 and 2013. We tested the model both in and out of sample and compared the results with the value and equal weighted portfolios and with a Markowitz based portfolio. We performed statistical inference in the parametric optimization using bootstrap techniques in order to build the parameters empirical distributions. Our results showed that the parametric optimization is a very efficient technique out of sample. It consistently showed superior results when compared with the VW, EW and Markowitz portfolios even when transaction costs were included. Finally, we consider the parametric approach to be very flexible to the inclusion of constraints in weights, transaction costs and listing and delisting of stocks.

  4. Application of Markowitz Portfolio Theory by Building Optimal Portfolio on the US Stock Market

    OpenAIRE

    Širůček, Martin; Křen, Lukáš

    2015-01-01

    ŠIRŮČEK MARTIN, KŘEN LUKÁŠ. 2015. Application of Markowitz Portfolio Theory by Building Optimal Portfolio on the US Stock Market. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 63(4): 1375–1386. This paper is focused on building investment portfolios by using the Markowitz Portfolio Theory (MPT). Derivation based on the Capital Asset Pricing Model (CAPM) is used to calculate the weights of individual securities in portfolios. The calculated portfolios include a po...

  5. Credit Portfolio Selection According to Sectors in Risky Environments: Markowitz Practice

    OpenAIRE

    Halim Kazan; Kültigin Uludag

    2014-01-01

    In this study, it was researched that how the rate of repayment of loans will be increased and how the credit risk will be minimized in banking sector, by using Markowitz Portfolio Theory. Construction, textile and wholesale and retail sectors were examined under the central bank data. Portfolio groups were selected and risks( variances of Portfolio groups) were evaluated according to Markowitz portfolio theory. Markowitz portfolio theory is effective than the other portfolio selection instru...

  6. PENGGUNAAN ALGORITMA GENETIKA UNTUK PEMILIHAN PORTFOLIO SAHAM DALAM MODEL MARKOWITZ

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    Silvia Rostianingsih

    2005-01-01

    Full Text Available Modern portfolio theory is based on asumption that investor can choose his proportion asset in portfolio, so they can minimize the risk and maximize the return. This paper presents the use of genetic algorithm (GA to optimize the choice of share portfolio in markowitz model by representing the efficient set portfolio. GA represent the efficient set using undirect representation to avoid infeasible solution and penalty function. From the implementation, it can be concluded that GA is one of methods which is able to obtain optimum point from portfolio. Abstract in Bahasa Indonesia : Teori portofolio modern mendasarkan teorinya pada asumsi bahwa investor bertindak secara rasional dengan memilih proporsi asetnya dalam sebuah portofolio sedemikian rupa sehingga dapat meminimalkan resiko dan memaksimalkan return. Dalam paper ini penulis mencoba menyajikan penggunaan algoritma genetika (Genetic Algorithm/GA untuk optimasi pemilihan portofolio saham dalam model markowitz dengan cara merepresentasikannya sebagai kumpulan portofolio yang efisien (the efficient set portofolio. GA merepresentasikan kumpulan yang effisien ini dengan menggunakan representasi tidak langsung untuk menghindari solusi yang tidak feasible dan fungsi penalti. Dari hasil yang telah diimplementasikan dapat disimpulkan bahwa GA dapat digunakan sebagai salah satu metode yang cukup berhasil dalam menemukan titik optimum dari sebuah portofolio. Kata kunci: markowitz, teori portofolio, algoritma genetika.

  7. Application of Markowitz Portfolio Theory by Building Optimal Portfolio on the US Stock Market

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    Martin Širůček

    2015-01-01

    Full Text Available This paper is focused on building investment portfolios by using the Markowitz Portfolio Theory (MPT. Derivation based on the Capital Asset Pricing Model (CAPM is used to calculate the weights of individual securities in portfolios. The calculated portfolios include a portfolio copying the benchmark made using the CAPM model, portfolio with low and high beta coefficients, and a random portfolio. Only stocks were selected for the examined sample from all the asset classes. Stocks in each portfolio are put together according to predefined criteria. All stocks were selected from Dow Jones Industrial Average (DJIA index which serves as a benchmark, too. Portfolios were compared based on their risk and return profiles. The results of this work will provide general recommendations on the optimal approach to choose securities for an investor’s portfolio.

  8. Ant Colony Optimization for Markowitz Mean-Variance Portfolio Model

    Science.gov (United States)

    Deng, Guang-Feng; Lin, Woo-Tsong

    This work presents Ant Colony Optimization (ACO), which was initially developed to be a meta-heuristic for combinatorial optimization, for solving the cardinality constraints Markowitz mean-variance portfolio model (nonlinear mixed quadratic programming problem). To our knowledge, an efficient algorithmic solution for this problem has not been proposed until now. Using heuristic algorithms in this case is imperative. Numerical solutions are obtained for five analyses of weekly price data for the following indices for the period March, 1992 to September, 1997: Hang Seng 31 in Hong Kong, DAX 100 in Germany, FTSE 100 in UK, S&P 100 in USA and Nikkei 225 in Japan. The test results indicate that the ACO is much more robust and effective than Particle swarm optimization (PSO), especially for low-risk investment portfolios.

  9. Differentiability properties of the efficient (u,q2)-set in the Markowitz portfolio selection method

    NARCIS (Netherlands)

    Kriens, J.; Strijbosch, L.W.G.; Vörös, J.

    1994-01-01

    The set of efficient (Rho2)-combinations in the (Rho2)-plane of the Markowitz portfolio selection method consists of a series of strictly convex parabola. In the transition points from one parabola to the next one, the curve may be indifferentiable. The article gives necessary and sufficient

  10. VAR Portfolio Optimal: Perbandingan Antara Metode Markowitz Dan Mean Absolute Deviation

    OpenAIRE

    Sartono, R. Agus; Setiawan, Arie Andika

    2006-01-01

    Portfolio selection method which have been introduced by Harry Markowitz (1952) used variance or deviation standard as a measure of risk. Kanno and Yamazaki (1991) introduced another method and used mean absolute deviation as a measure of risk instead of variance. The Value-at Risk (VaR) is a relatively new method to capitalized risk that been used by financial institutions. The aim of this research is compare between mean variance and mean absolute deviation of two portfolios. Next, we attem...

  11. An inequality for detecting financial fraud, derived from the Markowitz Optimal Portfolio Theory

    Science.gov (United States)

    Bard, Gregory V.

    2016-12-01

    The Markowitz Optimal Portfolio Theory, published in 1952, is well-known, and was often taught because it blends Lagrange Multipliers, matrices, statistics, and mathematical finance. However, the theory faded from prominence in American investing, as Business departments at US universities shifted from techniques based on mathematics, finance, and statistics, to focus instead on leadership, public speaking, interpersonal skills, advertising, etc… The author proposes a new application of Markowitz's Theory: the detection of a fairly broad category of financial fraud (called "Ponzi schemes" in American newspapers) by looking at a particular inequality derived from the Markowitz Optimal Portfolio Theory, relating volatility and expected rate of return. For example, one recent Ponzi scheme was that of Bernard Madoff, uncovered in December 2008, which comprised fraud totaling 64,800,000,000 US dollars [23]. The objective is to compare investments with the "efficient frontier" as predicted by Markowitz's theory. Violations of the inequality should be impossible in theory; therefore, in practice, violations might indicate fraud.

  12. Analysis Of Dynamic Portfolio Allocation Of Indonesian LQ45 During 2005 – 2011 Following The Markowitz Theowry

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    Agustini Hamid

    2016-09-01

    Full Text Available The research observed that equity portfolio and investment managers were facing challenges in determining the optimum portfolio, especially during the turbulent times. As a result, they needed to implement portfolio management strategies to overcome the risk associated with stock return volatility in turbulence periods. This research focused on selecting stocks from the LQ-45 index during 2005-2011 using The Markowitz theory combining the Solver Linear Programming. The portfolio selection method which has been introduced by Markowitz (1952 used variance or standard deviation as a risk measurement. The result of this research proves that the composition of the portfolio is not the same in the different period. In the bearish period, the composition of the optimum portfolio is dominated by the banking sector and manufacture sector. In the bullish period, the optimum portfolio is dominated by the commodity stocks.

  13. Robust Markowitz mean-variance portfolio selection under ambiguous covariance matrix *

    OpenAIRE

    Ismail, Amine; Pham, Huyên

    2016-01-01

    This paper studies a robust continuous-time Markowitz portfolio selection pro\\-blem where the model uncertainty carries on the covariance matrix of multiple risky assets. This problem is formulated into a min-max mean-variance problem over a set of non-dominated probability measures that is solved by a McKean-Vlasov dynamic programming approach, which allows us to characterize the solution in terms of a Bellman-Isaacs equation in the Wasserstein space of probability measures. We provide expli...

  14. VAR Portfolio Optimal: Perbandingan Antara Metode Markowitz dan Mean Absolute Deviation

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    R. Agus Sartono

    2009-05-01

    Full Text Available Portfolio selection method which have been introduced by Harry Markowitz (1952 used variance or deviation standard as a measure of risk. Kanno and Yamazaki (1991 introduced another method and used mean absolute deviation as a measure of risk instead of variance. The Value-at Risk (VaR is a relatively new method to capitalized risk that been used by financial institutions. The aim of this research is compare between mean variance and mean absolute deviation of two portfolios. Next, we attempt to assess the VaR of two portfolios using delta normal method and historical simulation. We use the secondary data from the Jakarta Stock Exchange – LQ45 during 2003. We find that there is a weak-positive correlation between deviation standard and return in both portfolios. The VaR nolmal delta based on mean absolute deviation method eventually is higher than the VaR normal delta based on mean variance method. However, based on the historical simulation the VaR of two methods is statistically insignificant. Thus, the deviation standard is sufficient measures of portfolio risk.Keywords: optimalisasi portofolio, mean-variance, mean-absolute deviation, value-at-risk, metode delta normal, metode simulasi historis

  15. Portfolio optimization for heavy-tailed assets: Extreme Risk Index vs. Markowitz

    OpenAIRE

    Mainik, Georg; Mitov, Georgi; Rüschendorf, Ludger

    2015-01-01

    Using daily returns of the S&P 500 stocks from 2001 to 2011, we perform a backtesting study of the portfolio optimization strategy based on the extreme risk index (ERI). This method uses multivariate extreme value theory to minimize the probability of large portfolio losses. With more than 400 stocks to choose from, our study seems to be the first application of extreme value techniques in portfolio management on a large scale. The primary aim of our investigation is the potential of ERI in p...

  16. Wright meets Markowitz: How standard portfolio theory changes when assets are technologies following experience curves

    OpenAIRE

    Way, Rupert; Lafond, François; Farmer, J. Doyne; Lillo, Fabrizio; Panchenko, Valentyn

    2017-01-01

    This paper considers how to optimally allocate investments in a portfolio of competing technologies. We introduce a simple model representing the underlying trade-off - between investing enough effort in any one project to spur rapid progress, and diversifying effort over many projects simultaneously to hedge against failure. We use stochastic experience curves to model the idea that investing more in a technology reduces its unit costs, and we use a mean-variance objective function to unders...

  17. Аpplication of markowitz portfolios based on currency baskets to commodity trade

    OpenAIRE

    Duda, T.; Augustynek, А.

    2012-01-01

    Розглянуто оптимальну структуру кошика валют для мінімізації ризиків торговельних операцій. Проаналізовано принципи побудови оптимального кошика валют, розроблено засадні положення оптимального портфеля Марковіца. Надано пропозиції щодо урахування периферійних валют у структурі платіжного кошика. The article proposes an application of currency basket payments together with Markovitz portfolio idea, to reduce a foreword transactions risk in commodity trade. It follows the line of earlier pa...

  18. Portfolio Optimization

    OpenAIRE

    Issagali, Aizhan; Alshimbayeva, Damira; Zhalgas, Aidana

    2015-01-01

    In this paper Portfolio Optimization techniques were used to determine the most favorable investment portfolio. In particular, stock indices of three companies, namely Microsoft Corporation, Christian Dior Fashion House and Shevron Corporation were evaluated. Using this data the amounts invested in each asset when a portfolio is chosen on the efficient frontier were calculated. In addition, the Portfolio with minimum variance, tangency portfolio and optimal Markowitz portfolio are presented.

  19. A COMPARISON OF BASIC AND EXTENDED MARKOWITZ MODEL ON CROATIAN CAPITAL MARKET

    OpenAIRE

    Bruna Škarica; Zrinka Lukač

    2012-01-01

    Markowitz' mean - variance model for portfolio selection, first introduced in H.M. Markowitz' 1952 article, is one of the best known models in finance. However, the Markowitz model is based on many assumptions about financial markets and investors, which do not coincide with the real world. One of these assumptions is that there are no taxes or transaction costs, when in reality all financial products are subject to both taxes and transaction costs – such as brokerage fees. In this pape...

  20. Analysis of the Capability Portfolio Review (CPR)

    Science.gov (United States)

    2014-06-01

    10  2.4.1.1.  The Basics of Modern Portfolio Theory ...of Modern Portfolio Theory Much of modern portfolio management has been motivated by the influential work of Harry Markowitz (Markowitz, 1952) and...unsystematic risk associated with individual stocks, leaving only the generally market risk (Walls, 2004). The basic assumption of modern portfolio theory is

  1. Application of Markowitz model in analysing risk and return a case study of BSE stock

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    Manas Pandey

    2012-03-01

    Full Text Available In this paper the optimal portfolio formation using real life data subject to two different constraint sets is attempted. It is a theoretical framework for the analysis of risk return choices. Decisions are based on the concept of efficient portfolios. Markowitz portfolio analysis gives as output an efficient frontier on which each portfolio is the highest return earning portfolio for a specified level of risk. The investors can reduce their risks and can maximize their return from the investment, The Markowitz portfolio selections were obtained by solving the portfolio optimization problems to get maximum total returns, constrained by minimum allowable risk level. Investors can get lot of information knowledge about how to invest when to invest and why to invest in the particular portfolio. It basically calculates the standard deviation and returns for each of the feasible portfolios and identifies the efficient frontier, the boundary of the feasible portfolios of increasing returns

  2. Application of Markowitz Model on Romanian Stock Market

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    Zavera Ioana Coralia

    2017-04-01

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

  3. Study about Markowitz Model Applicability on Romanian Stock Exchange Market

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    Leonardo Badea

    2006-11-01

    Full Text Available This paper deals with the application of the analysis on a portfolio made up of eight titles, through determination of the portfolio with absolute minimum variation and of the frontier of efficiency. Thus, using the Markowitz model, the dimensions of the portfolio with minimum absolute variation could be established but its profitability was smaller than the profitability offered by the BET rating. The best strategy to follow in this respect would have been to adopt a passive strategy and to take over the structure of the rating in the investment of portfolio for a good profitability but with a higher risk.

  4. Study about Markowitz Model Applicability on Romanian Stock Exchange Market

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    Leonardo Badea

    2006-09-01

    Full Text Available This paper deals with the application of the analysis on a portfolio made up of eight titles, through determination of the portfolio with absolute minimum variation and of the frontier of efficiency. Thus, using the Markowitz model, the dimensions of the portfolio with minimum absolute variation could be established but its profitability was smaller than the profitability offered by the BET rating. The best strategy to follow in this respect would have been to adopt a passive strategy and to take over the structure of the rating in the investment of portfolio for a good profitability but with a higher risk.

  5. A COMPARISON OF BASIC AND EXTENDED MARKOWITZ MODEL ON CROATIAN CAPITAL MARKET

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    Bruna Škarica

    2012-12-01

    Full Text Available Markowitz' mean - variance model for portfolio selection, first introduced in H.M. Markowitz' 1952 article, is one of the best known models in finance. However, the Markowitz model is based on many assumptions about financial markets and investors, which do not coincide with the real world. One of these assumptions is that there are no taxes or transaction costs, when in reality all financial products are subject to both taxes and transaction costs – such as brokerage fees. In this paper, we consider an extension of the standard portfolio problem which includes transaction costs that arise when constructing an investment portfolio. Finally, we compare both the extension of the Markowitz' model, including transaction costs, and the basic model on the example of the Croatian capital market.

  6. Designing Modern Equity Portfolios

    OpenAIRE

    Ronald Jean Degen

    2011-01-01

    This aim of this paper is to describe possible ways of investing in equity; choosing the right stocks(among small-cap, large-cap, value, growth, and foreign) using fundamental analysis, defining their appropriate mix in the portfolios according to the desired return-risk profiles based on Markowitz?s modern portfolio theory, and using technical analysis to buy and sell them.

  7. An application of Markowitz theorem on Tehran Stock Exchange

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    Hassan Ghodrati

    2014-05-01

    Full Text Available During the past 65 years, there have been tremendous efforts on portfolio selection problem. The standard Markowitz mean–variance model to portfolio selection includes tracing out an efficient frontier, a continuous curve demonstrating the tradeoff between return and risk. This frontier can be often detected via standard quadratic programming, categorized in convex optimization. Traditional Markowitz problem has been recently extended into a new form of mixed integer nonlinear problems by considering various constraints such as cardinality constraints, industry limitation, etc. This paper proposes a mixed integer nonlinear programming to determine optimal asset allocation on Tehran Stock Exchange. The results have indicated that a petrochemical firm named Farabi has gained 44% of the portfolio followed by a drug firm named Kosar Pharmacy gaining 28%. In addition, banking sector was the third winning firm where Eghtesad Novin bank gained nearly 10% of the portfolio. Minerals and mining firms were the next sector in our portfolio where Gol Gohar Iron Ore and Tehran Cement collected 0.73% and 0.57% of the portfolio, respectively. In our survey, auto industry gained only 0.26% of the portfolio, which belonged to Saipa group.

  8. Spectrally-Corrected Estimation for High-Dimensional Markowitz Mean-Variance Optimization

    NARCIS (Netherlands)

    Z. Bai (Zhidong); H. Li (Hua); M.J. McAleer (Michael); W.-K. Wong (Wing-Keung)

    2016-01-01

    textabstractThis paper considers the portfolio problem for high dimensional data when the dimension and size are both large. We analyze the traditional Markowitz mean-variance (MV) portfolio by large dimension matrix theory, and find the spectral distribution of the sample covariance is the main

  9. Speaking Personally--With Hal Markowitz

    Science.gov (United States)

    Pittman, Von

    2012-01-01

    This article presents an interview with Hal Markowitz, a veteran distance educator whose experience in the field is both deep and broad. Building on bachelor's and master's degrees at the University of Florida and his doctorate at Columbia University, Markowitz served in leadership roles in several professional organizations and directed distance…

  10. A dynamic decision model for portfolio investment and assets management

    Institute of Scientific and Technical Information of China (English)

    QIAN Edward Y.; FENG Ying; HIGGISION James

    2005-01-01

    This paper addresses a dynamic portfolio investment problem. It discusses how we can dynamically choose candidate assets, achieve the possible maximum revenue and reduce the risk to the minimum level. The paper generalizes Markowitz's portfolio selection theory and Sharpe's rule for investment decision. An analytical solution is presented to show how an institutional or individual investor can combine Markowitz's portfolio selection theory, generalized Sharpe's rule and Value-at-Risk(VaR) to find candidate assets and optimal level of position sizes for investment (dis-investment). The result shows that the generalized Markowitz's portfolio selection theory and generalized Sharpe's rule improve decision making for investment.

  11. Modern Portfolio Theory: Some Main Results

    OpenAIRE

    Müller, Heinz H.

    2017-01-01

    This article summarizes some main results in modern portfolio theory. First, the Markowitz approach is presented. Then the capital asset pricing model is derived and its empirical testability is discussed. Afterwards Neumann-Morgenstern utility theory is applied to the portfolio problem. Finally, it is shown how optimal risk allocation in an economy may lead to portfolio insurance

  12. A Relação entre o Risco e as Práticas de Governança Corporativa Diferenciada no Mercado Brasileiro de Ações: uma abordagem sob a égide da teoria dos portfólios de MarkowitzRisk Relation and the Corporative Governance Practice in the Brazilian Stock Market: an approach according to the portfolio theory by MarkowitzLa Relación entre el Riesgo y las Prácticas de Gobernanza Corporativa Diferenciada en el Mercado Brasileño de Acciones: un análisis bajo la égida de la teoría de los portafolios de Markowitz

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    SILVA, Rhoger Fellipe Marinho da

    2011-06-01

    Full Text Available RESUMOEste estudo objetivou analisar se há uma relação entre o risco de uma carteira, considerada suficientemente diversificada no mercado brasileiro de ações, composta pelas empresas classificadas no IGC, em comparação à Carteira de Mercado. Para tanto, utilizou-se preliminarmente do proceder metodológico de pesquisa bibliográfico-documental de caráter exploratório e, posteriormente, do levantamento das carteiras teóricas do índice de ações com governança corporativa diferenciada da BM&FBOVESPA válidas para o primeiro, segundo e terceiro quadrimestres de 2009. E, com o auxílio da planilha eletrônica Excel, utilizando-se do modelo de Markowitz (1952 e da metodologia desenvolvida por Gonçalves Junior, Pamplona e Montevechi (2002, buscou-se encontrar as carteiras de variância mínima para cada quadrimestre, a fim de testar a hipótese de que há uma relação entre o risco dessas carteiras, consideradas suficientemente diversificadas no mercado brasileiro de ações (de acordo com os achados de Sanvicente e Bellato, 2004, compostas por empresas classificadas no IGC. Assim, os resultados indicaram que tais carteiras compostas pelos ativos do IGC, são superiores à carteira de mercado, uma vez que teriam seus riscos representados por cerca de 34%, 32% e 21% do risco do IBOVESPA de seu período correspondente, em níveis de retorno idênticos, ou seja, por meio da teoria de diversificação é possível obter uma relação inversa entre o risco e as boas práticas de governança corporativa. Adicionalmente, a carteira selecionada IGC domina a carteira do IGC e do IBOVESPA, respectivamente, utilizando-se o coeficiente de variação, ou seja, possui o menor risco contido por cada retorno adicional.ABSTRACTThis study examines whether there is a relationship between the risk of a portfolio that would be sufficiently diversified in the Brazilian stock market, made by companies classified in the IGC, in comparison with the Market

  13. Portafolio management: A critical view beyond Markowitz Gestión de portafolios. Una mirada crítica más allá de Markowitz

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    Duván Darío Grajales Bedoya

    2009-12-01

    Full Text Available Since its first appearance, the Markowitz model for portfolio selection has been a basic theoretical reference, opening several new development options. However, practically it has not been used among portfolio managers and investment analysts in spite of its success in the theoretical field. This paper presents and discusses the Markowitz’s model limitations modal to its practical implementation, the existence of transaction costs, equilibrium considerations, technical and fundamental analysis importance and the focus on behavioural finance as that of limited rationality, determine that the decision process of the individuals possesses limitations so much cognitive as computing that reduce perfection to their decisions, nevertheless, these theories of behavioural portfolios is possible to consider to be more a descriptive theory of how the investors construct their portfolios, in contrast with the theory of Markowitz's portfolios that is more prescriptive on having tried to instruct the investors how they must their portfolios.Desde su aparición, el modelo de Markowitz ha sido un referente teórico fundamental para la selección de carteras de valores y ha dado lugar a múltiples desarrollos y derivaciones. Su utilización en la práctica, entre gestores de carteras y analistas de inversiones, no es tan amplia como podría esperarse de su éxito teórico. Aquí se presentan y discuten sus limitaciones en cuanto a implementación práctica, presencia de costos de transacción, consideraciones de rebalanceo, importancia de los análisis fundamental y técnico, y el enfoque de finanzas del comportamiento que, como el de racionalidad limitada, determinan que el proceso de decisión de los individuos posee especificaciones cognitivas y computacionales que le restan perfección a las decisiones. Tales teorías de comportamiento se pueden considerar descriptivas de cómo los inversionistas construyen sus portafolios, en contraste con la de

  14. Analisis Portofolio Saham dengan Metode Capm dan Markowitz

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    Hartiwi Prabowo

    2013-05-01

    Full Text Available  LQ45 index is a row of 45 stocks with the largest commercial transactions in BEI. These stocks are also commonly referred to as blue-chip stocks. Stocks at LQ 45 index must meet the criteria and pass a predetermined key. The LQ 45 stocks are continuously being monitored and will be a reviewed for every 6 months (early February and August. Capital Asset Pricing Model (CAPM is used to estimate the return of a securities, while minimizing the risk to the desired level of returns in stock investing can be done by way of diversification or invest the funds into more than one type of securities (forming portfolios. The purpose of this study was to determine the expected return, and choosing the best stocks to obtain the optimal portfolio composition and profitable to invest. This study uses secondary data, ie data LQ 45, stock prices, the level of available SBI Stock Exchange, BI, and websites. To analyze the data, the writer used method of CAPM and Markowitz Portfolio. The results showed the election of 5 stocks of the most profitable for investors, namely stock UNTR, SMCB, ASII, INDF and BBRI. For companies that issue stocks should interact more with the society and the capital markets to attract more investors.

  15. Optimization of the bank's operating portfolio

    Science.gov (United States)

    Borodachev, S. M.; Medvedev, M. A.

    2016-06-01

    The theory of efficient portfolios developed by Markowitz is used to optimize the structure of the types of financial operations of a bank (bank portfolio) in order to increase the profit and reduce the risk. The focus of this paper is to check the stability of the model to errors in the original data.

  16. METHODS OF PORTFOLIO MANAGEMENT - A REVIEW OF LITERATURE -

    OpenAIRE

    CRISTINA CURUTIU

    2008-01-01

    In recent years, a growing body of literature in portfolio management has devoted a great deal of attention for this subject. The theoretical foundation to portfolio management was offered by Harry Markowitz at the beginning of the 1950s. The limitations of the original Markowitz model have stimulated the occurrence of extended or modified models – two of the best known (and criticized) being the equilibrium models: CAPM (capital asset pricing model) and APT (arbitrage pricing theory). Altern...

  17. Optimasi Portofolio Investasi Dengan Menggunakan Model Markowitz

    OpenAIRE

    Priyatna, Yayat; Sukono, F

    2003-01-01

    Permasalahan pokok dalam paper ini adalah memilih dua saham unggulan dan proporsi dana yang akan diinvestasikan dalam pembentukan suatu portofolio. Optimasi portofolio investasi di sini dilakukan dengan menggunakan model Markowitz. Dari empat saham unggulan versi LQ 45 yang dianalisis menunjukkan bahwa saham HM Sampurna dan Telkom memberikan hasil yang optimum dalam pembentukan portofolio investasi dengan proporsi dana berturut-turut sebesar 51% dan 49%.

  18. The Role of Agribusiness Assets in Investment Portfolios

    OpenAIRE

    Johnson, Michael; Malcolm, Bill; O'Connor, Ian

    2006-01-01

    Investment in agribusiness assets has grown significantly in recent years. The question of interest is whether including agribusiness assets in investment portfolios provide benefits. The effects of diversification by including agribusiness assets in two investment portfolios, a mixed asset portfolio and a diversified share portfolio was investigated using Markowitz’s (1952) Modern Portfolio Theory (MPT) of mean-variance optimization. To measure the performance of agribusiness assets, an in...

  19. A General Framework for Portfolio Theory. Part I: theory and various models

    OpenAIRE

    Maier-Paape, Stanislaus; Zhu, Qiji Jim

    2017-01-01

    Utility and risk are two often competing measurements on the investment success. We show that efficient trade-off between these two measurements for investment portfolios happens, in general, on a convex curve in the two dimensional space of utility and risk. This is a rather general pattern. The modern portfolio theory of Markowitz [H. Markowitz, Portfolio Selection, 1959] and its natural generalization, the capital market pricing model, [W. F. Sharpe, Mutual fund performance , 1966] are spe...

  20. Asset management using an extended Markowitz theorem

    Directory of Open Access Journals (Sweden)

    Paria Karimi

    2014-06-01

    Full Text Available Markowitz theorem is one of the most popular techniques for asset management. The method has been widely used to solve many applications, successfully. In this paper, we present a multi objective Markowitz model to determine asset allocation by considering cardinality constraints. The resulted model is an NP-Hard problem and the proposed study uses two metaheuristics, namely genetic algorithm (GA and particle swarm optimization (PSO to find efficient solutions. The proposed study has been applied on some data collected from Tehran Stock Exchange over the period 2009-2011. The study considers four objectives including cash return, 12-month return, 36-month return and Lower Partial Moment (LPM. The results indicate that there was no statistical difference between the implementation of PSO and GA methods.

  1. Deformed exponentials and portfolio selection

    Science.gov (United States)

    Rodrigues, Ana Flávia P.; Guerreiro, Igor M.; Cavalcante, Charles Casimiro

    In this paper, we present a method for portfolio selection based on the consideration on deformed exponentials in order to generalize the methods based on the gaussianity of the returns in portfolio, such as the Markowitz model. The proposed method generalizes the idea of optimizing mean-variance and mean-divergence models and allows a more accurate behavior for situations where heavy-tails distributions are necessary to describe the returns in a given time instant, such as those observed in economic crises. Numerical results show the proposed method outperforms the Markowitz portfolio for the cumulated returns with a good convergence rate of the weights for the assets which are searched by means of a natural gradient algorithm.

  2. PORTOFOLIO MARKOWITZ: UJI OPTIMAL HOLDING PERIOD DAN KINERJA PORTOFOLIO BERDASARKAN KRITERIA RISIKO DAN TARGET RETURN

    Directory of Open Access Journals (Sweden)

    Andi Ivand Markemo Boangmanalu

    2017-04-01

    Full Text Available The concept of mean-variance optimization, developed by Markowitz, is the cornerstone of modern finance theory. The objective of this portfolio construction is to minimize investment risk by forming optimal portfolios. Dynamic movement in capital markets requires not only changes in portfolio composition. Optimal portfolio is not only determined by the covariance between securities in the portfolio, but also by holding period. The aims of this study is to answer two research questions. The first research question is how long the optimal holding period that was resulted from trade-off between risk and return. This study using target return that are determined hypothetically as well as the risk criteria are divided into 3 namely the mean variance, semivarians and expected loss. Target returns are simulated in this study were divided into 3 criteria namely aggressive, moderate and conservative. The second research question is whether there are differences among the various portfolio performance based on criteria of risk and target return. Portfolio performance is measured by using excess return and the Sharpe index. In this study, stocks covered in LQ-45 index are used to construct efficient portoflio. Monthly price series for company and LQ-45 index for February 2004 to September 2008 are collected. The analysis found that optimal holing period is ranges between 1-5 months. Holding period of a portfolio that more than 5 months will provide risk and return trade-off less favorable. In addition this study found that there was no significant differences in portfolio performance based on overall scenarios

  3. On the Equivalence of Quadratic Optimization Problems Commonly Used in Portfolio Theory

    OpenAIRE

    Taras Bodnar; Nestor Parolya; Wolfgang Schmid

    2012-01-01

    In the paper, we consider three quadratic optimization problems which are frequently applied in portfolio theory, i.e, the Markowitz mean-variance problem as well as the problems based on the mean-variance utility function and the quadratic utility.Conditions are derived under which the solutions of these three optimization procedures coincide and are lying on the efficient frontier, the set of mean-variance optimal portfolios. It is shown that the solutions of the Markowitz optimization prob...

  4. Mean--variance portfolio optimization when means and covariances are unknown

    OpenAIRE

    Tze Leung Lai; Haipeng Xing; Zehao Chen

    2011-01-01

    Markowitz's celebrated mean--variance portfolio optimization theory assumes that the means and covariances of the underlying asset returns are known. In practice, they are unknown and have to be estimated from historical data. Plugging the estimates into the efficient frontier that assumes known parameters has led to portfolios that may perform poorly and have counter-intuitive asset allocation weights; this has been referred to as the "Markowitz optimization enigma." After reviewing differen...

  5. Leptokurtic portfolio theory

    Science.gov (United States)

    Kitt, R.; Kalda, J.

    2006-03-01

    The question of optimal portfolio is addressed. The conventional Markowitz portfolio optimisation is discussed and the shortcomings due to non-Gaussian security returns are outlined. A method is proposed to minimise the likelihood of extreme non-Gaussian drawdowns of the portfolio value. The theory is called Leptokurtic, because it minimises the effects from “fat tails” of returns. The leptokurtic portfolio theory provides an optimal portfolio for investors, who define their risk-aversion as unwillingness to experience sharp drawdowns in asset prices. Two types of risks in asset returns are defined: a fluctuation risk, that has Gaussian distribution, and a drawdown risk, that deals with distribution tails. These risks are quantitatively measured by defining the “noise kernel” — an ellipsoidal cloud of points in the space of asset returns. The size of the ellipse is controlled with the threshold parameter: the larger the threshold parameter, the larger return are accepted for investors as normal fluctuations. The return vectors falling into the kernel are used for calculation of fluctuation risk. Analogously, the data points falling outside the kernel are used for the calculation of drawdown risks. As a result the portfolio optimisation problem becomes three-dimensional: in addition to the return, there are two types of risks involved. Optimal portfolio for drawdown-averse investors is the portfolio minimising variance outside the noise kernel. The theory has been tested with MSCI North America, Europe and Pacific total return stock indices.

  6. Different Variants of Fundamental Portfolio

    Directory of Open Access Journals (Sweden)

    Tarczyński Waldemar

    2014-06-01

    Full Text Available The paper proposes the fundamental portfolio of securities. This portfolio is an alternative for the classic Markowitz model, which combines fundamental analysis with portfolio analysis. The method’s main idea is based on the use of the TMAI1 synthetic measure and, in limiting conditions, the use of risk and the portfolio’s rate of return in the objective function. Different variants of fundamental portfolio have been considered under an empirical study. The effectiveness of the proposed solutions has been related to the classic portfolio constructed with the help of the Markowitz model and the WIG20 market index’s rate of return. All portfolios were constructed with data on rates of return for 2005. Their effectiveness in 2006- 2013 was then evaluated. The studied period comprises the end of the bull market, the 2007-2009 crisis, the 2010 bull market and the 2011 crisis. This allows for the evaluation of the solutions’ flexibility in various extreme situations. For the construction of the fundamental portfolio’s objective function and the TMAI, the study made use of financial and economic data on selected indicators retrieved from Notoria Serwis for 2005.

  7. Applying the partitioned multiobjective risk method (PMRM) to portfolio selection.

    Science.gov (United States)

    Reyes Santos, Joost; Haimes, Yacov Y

    2004-06-01

    The analysis of risk-return tradeoffs and their practical applications to portfolio analysis paved the way for Modern Portfolio Theory (MPT), which won Harry Markowitz a 1992 Nobel Prize in Economics. A typical approach in measuring a portfolio's expected return is based on the historical returns of the assets included in a portfolio. On the other hand, portfolio risk is usually measured using volatility, which is derived from the historical variance-covariance relationships among the portfolio assets. This article focuses on assessing portfolio risk, with emphasis on extreme risks. To date, volatility is a major measure of risk owing to its simplicity and validity for relatively small asset price fluctuations. Volatility is a justified measure for stable market performance, but it is weak in addressing portfolio risk under aberrant market fluctuations. Extreme market crashes such as that on October 19, 1987 ("Black Monday") and catastrophic events such as the terrorist attack of September 11, 2001 that led to a four-day suspension of trading on the New York Stock Exchange (NYSE) are a few examples where measuring risk via volatility can lead to inaccurate predictions. Thus, there is a need for a more robust metric of risk. By invoking the principles of the extreme-risk-analysis method through the partitioned multiobjective risk method (PMRM), this article contributes to the modeling of extreme risks in portfolio performance. A measure of an extreme portfolio risk, denoted by f(4), is defined as the conditional expectation for a lower-tail region of the distribution of the possible portfolio returns. This article presents a multiobjective problem formulation consisting of optimizing expected return and f(4), whose solution is determined using Evolver-a software that implements a genetic algorithm. Under business-as-usual market scenarios, the results of the proposed PMRM portfolio selection model are found to be compatible with those of the volatility-based model

  8. Three Essays on Robust Optimization of Efficient Portfolios

    OpenAIRE

    Liu, Hao

    2013-01-01

    The mean-variance approach was first proposed by Markowitz (1952), and laid the foundation of the modern portfolio theory. Despite its theoretical appeal, the practical implementation of optimized portfolios is strongly restricted by the fact that the two inputs, the means and the covariance matrix of asset returns, are unknown and have to be estimated by available historical information. Due to the estimation risk inherited from inputs, desired properties of estimated optimal portfolios are ...

  9. Particle swarm optimization algorithm for mean-variance portfolio optimization: A case study of Istanbul Stock Exchange

    OpenAIRE

    Akyer, Hasan; Kalaycı, Can Berk; Aygören, Hakan

    2018-01-01

    Whileinvestors used to create their portfolios according to traditional portfoliotheory in the past, today modern portfolio approach is widely preferred. Thebasis of the modern portfolio theory was suggested by Harry Markowitz with themean variance model. A greater number of securities in a portfolio is difficultto manage and has an increased transaction cost. Therefore, the number ofsecurities in the portfolio should be restricted. The problem of portfoliooptimization with cardinality constr...

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

    OpenAIRE

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

    2009-01-01

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

  11. Optimal portfolio selection for cashflows with bounded capital at risk

    NARCIS (Netherlands)

    Vyncke, D.; Goovaerts, M.J.; Dhaene, J.L.M.; Vanduffel, S.

    2005-01-01

    We consider a continuous-time Markowitz type portfolio problem that consists of minimizing the discounted cost of a given cash-fl ow under the constraint of a restricted Capital at Risk. In a Black-Scholes setting, upper and lower bounds are obtained by means of simple analytical expressions that

  12. On the microeconomic problems studied by portfolio theory

    Science.gov (United States)

    Nikonov, Oleg; Medvedeva, Marina

    2012-09-01

    In the paper we consider economically motivated problems, which are treated with the help of methods of portfolio theory that goes back to the papers by H. Markowitz [1] and J. Tobin [2]. We show that the portfolio theory initially developed for risky securities (stocks) could be applied to other objects. In the present paper we consider several situations where such an application is reasonable and seems to be fruitful. Namely, we consider the problems of constructing the efficient portfolio of banking services and the portfolio of counteragents of a firm.

  13. Optimizing cropland cover for stable food production in Sub-Saharan Africa using simulated yield and Modern Portfolio Theory

    Science.gov (United States)

    Bodin, P.; Olin, S.; Pugh, T. A. M.; Arneth, A.

    2014-12-01

    Food security can be defined as stable access to food of good nutritional quality. In Sub Saharan Africa access to food is strongly linked to local food production and the capacity to generate enough calories to sustain the local population. Therefore it is important in these regions to generate not only sufficiently high yields but also to reduce interannual variability in food production. Traditionally, climate impact simulation studies have focused on factors that underlie maximum productivity ignoring the variability in yield. By using Modern Portfolio Theory, a method stemming from economics, we here calculate optimum current and future crop selection that maintain current yield while minimizing variance, vs. maintaining variance while maximizing yield. Based on simulated yield using the LPJ-GUESS dynamic vegetation model, the results show that current cropland distribution for many crops is close to these optimum distributions. Even so, the optimizations displayed substantial potential to either increase food production and/or to decrease its variance regionally. Our approach can also be seen as a method to create future scenarios for the sown areas of crops in regions where local food production is important for food security.

  14. COVARIANCE STABILITY AND THE 2008 FINANCIAL CRISIS: THE IMPACT IN THE PORTFOLIO OF THE 10 BIGGEST COMPANIES IN BM&FBOVESPA BETWEEN 2004 E 2012

    Directory of Open Access Journals (Sweden)

    Leticia Naomi Ono Maeda

    2016-03-01

    Full Text Available This study's purpose is to analyse the covariance between the ten biggest participants of the BM&FBovespa stock market to test the influence of the instability in the covariance between assets to the structure of a portfolio of investments of a portfolio composed by this assets. To acomplish that, we check the covariances between the daily returns of the 10 selected stocks before, during and after the 2008 financial crisis. The procedure of this research includes: (1 collection of returns of the selected stocks between 2004 and 2012; (2 the composition of the classical portfolio theory proposed by Markowitz(1952; and (3 the measurement of the effect of the unstable covariance between the 10 selected assets in the maintenance of the portfolio when controlling for return and risk preferences of a hipotetical investor. We find that asset correlations are impacted by the assets covariances that not stable in the whole time set for the study but are specialy sensitive in the financial crisis period. This means that both risk and return of the portfolio will change greatly if the weights are not recalculated from time to time. This suports the idea that portfolio theory might benefit from the development of stability weigthed techniques are developed.

  15. Decision Utility Theory: Back to von Neumann, Morgenstern, and Markowitz

    OpenAIRE

    Kontek, Krzysztof

    2010-01-01

    Prospect Theory (1979) and its Cumulative version (1992) argue for probability weighting to explain lottery choices. Decision Utility Theory presents an alternative solution, which makes no use of this concept. The new theory distinguishes decision and perception utility, postulates a double S-shaped decision utility curve similar to one hypothesized by Markowitz (1952), and applies the expected decision utility value similarly to the theory by von Neumann and Morgenstern (1944). Decision Uti...

  16. Fuzzy Investment Portfolio Selection Models Based on Interval Analysis Approach

    Directory of Open Access Journals (Sweden)

    Haifeng Guo

    2012-01-01

    Full Text Available This paper employs fuzzy set theory to solve the unintuitive problem of the Markowitz mean-variance (MV portfolio model and extend it to a fuzzy investment portfolio selection model. Our model establishes intervals for expected returns and risk preference, which can take into account investors' different investment appetite and thus can find the optimal resolution for each interval. In the empirical part, we test this model in Chinese stocks investment and find that this model can fulfill different kinds of investors’ objectives. Finally, investment risk can be decreased when we add investment limit to each stock in the portfolio, which indicates our model is useful in practice.

  17. Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan Dengan Keterbatasan Manusia Dalam Memprediksi Masa Depan Dalam Perspektif Al-Qur`an

    Directory of Open Access Journals (Sweden)

    Noor Saif Muhammad Mussafi

    2012-04-01

    Full Text Available Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization. Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio  produces a convex quadratic programming, that is minimizing the objective function  with constraints ≥ and = . The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis.

  18. A class of multi-period semi-variance portfolio for petroleum exploration and development

    Science.gov (United States)

    Guo, Qiulin; Li, Jianzhong; Zou, Caineng; Guo, Yujuan; Yan, Wei

    2012-10-01

    Variance is substituted by semi-variance in Markowitz's portfolio selection model. For dynamic valuation on exploration and development projects, one period portfolio selection is extended to multi-period. In this article, a class of multi-period semi-variance exploration and development portfolio model is formulated originally. Besides, a hybrid genetic algorithm, which makes use of the position displacement strategy of the particle swarm optimiser as a mutation operation, is applied to solve the multi-period semi-variance model. For this class of portfolio model, numerical results show that the mode is effective and feasible.

  19. Promoting Affordability in Defense Acquisitions: A Multi-Period Portfolio Approach

    Science.gov (United States)

    2014-04-30

    has evolved out of many areas of research, ranging from economics to modern control theory (Powell, 2011). The general form of a dynamic programming...states 5 School of Aeronautics & Astronautics A Portfolio Approach: Background • Balance expected profit (performance) against risk ( variance ) in...investments (Markowitz 1952) • Efficiency frontier of optimal portfolios given investor risk averseness • Extends to multi-period case with various

  20. USAGE OF THE MAIN COMPONENTS ANALYSIS IN THE MANAGEMENT OF THE INVESTMENT PORTFOLIO

    OpenAIRE

    Dan ARMEANU; Andreea NEGRU

    2011-01-01

    When managing investment portfolios on integrated capital markets, beyond the models put forth by the modern portfolio theory, (the Markowitz model, the CML model, the CAPM model, the Treynor-Black model and more), one can successfully resort to the statistical and mathematical tools made available by the multidimensional data analysis. The reason why we shall use those tools in our analysis is simple: they make it possible to reduce the number of variables in the analysis while preserving mu...

  1. Portfolio Optimization: A Combined Regime-Switching and Black–Litterman Model

    OpenAIRE

    Edwin O. Fischer; Immanuel Seidl

    2013-01-01

    Traditionally portfolios are optimized with the single-regime Markowitz model using the volatility as the risk measure and the historical return as the expected return. This study shows the effects that a regime-switching framework and alternative risk measures (modified value at risk and conditional value at risk) and return measures (CAPM estimates and Black–Litterman estimates) have on the asset allocation and on the absolute and relative performance of portfolios. It demonstrates that the...

  2. Portfolio Optimization Using Particle Swarms with Stripes

    Directory of Open Access Journals (Sweden)

    Mario Villalobos Arias

    2011-04-01

    Full Text Available In this paper it is consider the Portfolio Optimization Problem developed by Markowitz [11]. The basic assumption is that the investor tries to maximize his/her profit and at the same time, wants to minimize the risk. This problem is usually solved using a scalarization approach (with one objective. Here it is solved it as a bi-objective  optimization problem. It uses a new version of the algorithm of Particle Swarm Optimization for Multi-Objective Problems to which it implemented a method of the stripes to improve dispersion.

  3. Down-Side Risk Metrics as Portfolio Diversification Strategies across the Global Financial Crisis

    Directory of Open Access Journals (Sweden)

    David E. Allen

    2016-06-01

    Full Text Available This paper features an analysis of the effectiveness of a range of portfolio diversification strategies, with a focus on down-side risk metrics, as a portfolio diversification strategy in a European market context. We apply these measures to a set of daily arithmetically-compounded returns, in U.S. dollar terms, on a set of ten market indices representing the major European markets for a nine-year period from the beginning of 2005 to the end of 2013. The sample period, which incorporates the periods of both the Global Financial Crisis (GFC and the subsequent European Debt Crisis (EDC, is a challenging one for the application of portfolio investment strategies. The analysis is undertaken via the examination of multiple investment strategies and a variety of hold-out periods and backtests. We commence by using four two-year estimation periods and a subsequent one-year investment hold out period, to analyse a naive 1/N diversification strategy and to contrast its effectiveness with Markowitz mean variance analysis with positive weights. Markowitz optimisation is then compared to various down-side investment optimisation strategies. We begin by comparing Markowitz with CVaR, and then proceed to evaluate the relative effectiveness of Markowitz with various draw-down strategies, utilising a series of backtests. Our results suggest that none of the more sophisticated optimisation strategies appear to dominate naive diversification.

  4. A comparison of portfolio selection models via application on ISE 100 index data

    Science.gov (United States)

    Altun, Emrah; Tatlidil, Hüseyin

    2013-10-01

    Markowitz Model, a classical approach to portfolio optimization problem, relies on two important assumptions: the expected return is multivariate normally distributed and the investor is risk averter. But this model has not been extensively used in finance. Empirical results show that it is very hard to solve large scale portfolio optimization problems with Mean-Variance (M-V)model. Alternative model, Mean Absolute Deviation (MAD) model which is proposed by Konno and Yamazaki [7] has been used to remove most of difficulties of Markowitz Mean-Variance model. MAD model don't need to assume that the probability of the rates of return is normally distributed and based on Linear Programming. Another alternative portfolio model is Mean-Lower Semi Absolute Deviation (M-LSAD), which is proposed by Speranza [3]. We will compare these models to determine which model gives more appropriate solution to investors.

  5. Mean-Variance portfolio optimization when each asset has individual uncertain exit-time

    Directory of Open Access Journals (Sweden)

    Reza Keykhaei

    2016-12-01

    Full Text Available The standard Markowitz Mean-Variance optimization model is a single-period portfolio selection approach where the exit-time (or the time-horizon is deterministic. ‎In this paper we study the Mean-Variance portfolio selection problem ‎with ‎uncertain ‎exit-time ‎when ‎each ‎has ‎individual uncertain ‎xit-time‎, ‎which generalizes the Markowitz's model‎. ‎‎‎‎‎‎We provide some conditions under which the optimal portfolio of the generalized problem is independent of the exit-times distributions. Also, ‎‎it is shown that under some general circumstances, the sets of optimal portfolios‎ ‎in the generalized model and the standard model are the same‎.

  6. On long-only information-based portfolio diversification framework

    Science.gov (United States)

    Santos, Raphael A.; Takada, Hellinton H.

    2014-12-01

    Using the concepts from information theory, it is possible to improve the traditional frameworks for long-only asset allocation. In modern portfolio theory, the investor has two basic procedures: the choice of a portfolio that maximizes its risk-adjusted excess return or the mixed allocation between the maximum Sharpe portfolio and the risk-free asset. In the literature, the first procedure was already addressed using information theory. One contribution of this paper is the consideration of the second procedure in the information theory context. The performance of these approaches was compared with three traditional asset allocation methodologies: the Markowitz's mean-variance, the resampled mean-variance and the equally weighted portfolio. Using simulated and real data, the information theory-based methodologies were verified to be more robust when dealing with the estimation errors.

  7. Risk and utility in portfolio optimization

    Science.gov (United States)

    Cohen, Morrel H.; Natoli, Vincent D.

    2003-06-01

    Modern portfolio theory (MPT) addresses the problem of determining the optimum allocation of investment resources among a set of candidate assets. In the original mean-variance approach of Markowitz, volatility is taken as a proxy for risk, conflating uncertainty with risk. There have been many subsequent attempts to alleviate that weakness which, typically, combine utility and risk. We present here a modification of MPT based on the inclusion of separate risk and utility criteria. We define risk as the probability of failure to meet a pre-established investment goal. We define utility as the expectation of a utility function with positive and decreasing marginal value as a function of yield. The emphasis throughout is on long investment horizons for which risk-free assets do not exist. Analytic results are presented for a Gaussian probability distribution. Risk-utility relations are explored via empirical stock-price data, and an illustrative portfolio is optimized using the empirical data.

  8. USEFULNESS OF BOOTSTRAPPING IN PORTFOLIO MANAGEMENT

    Directory of Open Access Journals (Sweden)

    Boris Radovanov

    2012-12-01

    Full Text Available This paper contains a comparison of in-sample and out-of-sample performances between the resampled efficiency technique, patented by Richard Michaud and Robert Michaud (1999, and traditional Mean-Variance portfolio selection, presented by Harry Markowitz (1952. Based on the Monte Carlo simulation, data (samples generation process determines the algorithms by using both, parametric and nonparametric bootstrap techniques. Resampled efficiency provides the solution to use uncertain information without the need for constrains in portfolio optimization. Parametric bootstrap process starts with a parametric model specification, where we apply Capital Asset Pricing Model. After the estimation of specified model, the series of residuals are used for resampling process. On the other hand, nonparametric bootstrap divides series of price returns into the new series of blocks containing previous determined number of consecutive price returns. This procedure enables smooth resampling process and preserves the original structure of data series.

  9. Application of Performance Ratios in Portfolio Optimization

    Directory of Open Access Journals (Sweden)

    Aleš Kresta

    2015-01-01

    Full Text Available The cornerstone of modern portfolio theory was established by pioneer work of Harry Markowitz. Based on his mean-variance framework, Sharpe formulated his well-known Sharpe ratio aiming to measure the performance of mutual funds. The contemporary development in computer’s computational power allowed to apply more complex performance ratios, which take into account also higher moments of return probability distribution. Although these ratios were proposed to help the investors to improve the results of portfolio optimization, we empirically demonstrated in our paper that this may not necessarily be true. On the historical dataset of DJIA components we empirically showed that both Sharpe ratio and MAD ratio outperformed Rachev ratio. However, for Rachev ratio we assumed only one level of parameters value. Different set-ups of parameters may provide different results and thus further analysis is certainly required.

  10. Windfall profit in portfolio diversification? An empirical analysis of the potential benefits of renewable energy investments

    Energy Technology Data Exchange (ETDEWEB)

    Bruns, Frederik

    2013-05-01

    Modern Portfolio Theory is a theory which was introduced by Markowitz, and which suggests the building of a portfolio with assets that have low or, in the best case, negative correlation. In times of financial crises, however, the positive diversification effect of a portfolio can fail when Traditional Assets are highly correlated. Therefore, many investors search for Alternative Asset classes, such as Renewable Energies, that tend to perform independently from capital market performance. 'Windfall Profit in Portfolio Diversification?' discusses the potential role of Renewable Energy investments in an institutional investor's portfolio by applying the main concepts from Modern Portfolio Theory. Thereby, the empirical analysis uses a unique data set from one of the largest institutional investors in the field of Renewable Energies, including several wind and solar parks. The study received the Science Award 2012 of the German Alternative Investments Association ('Bundesverband Alternative Investments e.V.').

  11. Applying Monte Carlo Concept and Linear Programming in Modern Portfolio Theory to Obtain Best Weighting Structure

    Directory of Open Access Journals (Sweden)

    Tumpal Sihombing

    2013-01-01

    Full Text Available The world is entering the era of recession when the trend is bearish and market is not so favorable. The capital markets in every major country were experiencing great amount of loss and people suffered in their investment. The Jakarta Composite Index (JCI has shown a great downturn for the past one year but the trend bearish year of the JCI. Therefore, rational investors should consider restructuring their portfolio to set bigger proportion in bonds and cash instead of stocks. Investors can apply modern portfolio theory by Harry Markowitz to find the optimum asset allocation for their portfolio. Higher return is always associated with higher risk. This study shows investors how to find out the lowest risk of a portfolio investment by providing them with several structures of portfolio weighting. By this way, investor can compare and make the decision based on risk-return consideration and opportunity cost as well. Keywords: Modern portfolio theory, Monte Carlo, linear programming

  12. Portfolio Diversification in the South-East European Equity Markets

    Directory of Open Access Journals (Sweden)

    Zaimovic Azra

    2017-04-01

    Full Text Available Diversification potential enables investors to manage their risk and decrease risk exposure. Good diversification policy is a safety net that prevents a portfolio from losing its value. A well-diversified portfolio consists of different categories of property with low correlations, while highly correlated markets have the feature of low possibilities for diversification. The biggest riddle in the world of investments is to find the optimal portfolio within a set of available assets with limited capital. There are numerous studies and mathematical models that deal with portfolio investment strategies. These strategies take advantage of diversification by spreading risk over several financial assets. Modern portfolio theory seeks to find the optimal model with the best results. This paper tries to identify relationships between returns of companies traded in South-East European equity markets. A Markowitz mean-variance (MV portfolio optimization method is used to identify possibilities for diversification among these markets and world leading capital markets. This research also offers insight into to the level of integration of South-East European equity markets. Principal component analysis (PCA is used to determine components that describe the strong patterns and co-movements of the dataset. Finally, we combined MV efficient frontier and equity, which represent PCA components, to draw conclusions. Our findings show that PC analysis substantially simplifies asset selection process in portfolio management. The results of the paper have practical applications for portfolio investors.

  13. Dynamic Portfolio Strategy Using Clustering Approach.

    Science.gov (United States)

    Ren, Fei; Lu, Ya-Nan; Li, Sai-Ping; Jiang, Xiong-Fei; Zhong, Li-Xin; Qiu, Tian

    2017-01-01

    The problem of portfolio optimization is one of the most important issues in asset management. We here propose a new dynamic portfolio strategy based on the time-varying structures of MST networks in Chinese stock markets, where the market condition is further considered when using the optimal portfolios for investment. A portfolio strategy comprises two stages: First, select the portfolios by choosing central and peripheral stocks in the selection horizon using five topological parameters, namely degree, betweenness centrality, distance on degree criterion, distance on correlation criterion and distance on distance criterion. Second, use the portfolios for investment in the investment horizon. The optimal portfolio is chosen by comparing central and peripheral portfolios under different combinations of market conditions in the selection and investment horizons. Market conditions in our paper are identified by the ratios of the number of trading days with rising index to the total number of trading days, or the sum of the amplitudes of the trading days with rising index to the sum of the amplitudes of the total trading days. We find that central portfolios outperform peripheral portfolios when the market is under a drawup condition, or when the market is stable or drawup in the selection horizon and is under a stable condition in the investment horizon. We also find that peripheral portfolios gain more than central portfolios when the market is stable in the selection horizon and is drawdown in the investment horizon. Empirical tests are carried out based on the optimal portfolio strategy. Among all possible optimal portfolio strategies based on different parameters to select portfolios and different criteria to identify market conditions, 65% of our optimal portfolio strategies outperform the random strategy for the Shanghai A-Share market while the proportion is 70% for the Shenzhen A-Share market.

  14. Dynamic Portfolio Strategy Using Clustering Approach.

    Directory of Open Access Journals (Sweden)

    Fei Ren

    Full Text Available The problem of portfolio optimization is one of the most important issues in asset management. We here propose a new dynamic portfolio strategy based on the time-varying structures of MST networks in Chinese stock markets, where the market condition is further considered when using the optimal portfolios for investment. A portfolio strategy comprises two stages: First, select the portfolios by choosing central and peripheral stocks in the selection horizon using five topological parameters, namely degree, betweenness centrality, distance on degree criterion, distance on correlation criterion and distance on distance criterion. Second, use the portfolios for investment in the investment horizon. The optimal portfolio is chosen by comparing central and peripheral portfolios under different combinations of market conditions in the selection and investment horizons. Market conditions in our paper are identified by the ratios of the number of trading days with rising index to the total number of trading days, or the sum of the amplitudes of the trading days with rising index to the sum of the amplitudes of the total trading days. We find that central portfolios outperform peripheral portfolios when the market is under a drawup condition, or when the market is stable or drawup in the selection horizon and is under a stable condition in the investment horizon. We also find that peripheral portfolios gain more than central portfolios when the market is stable in the selection horizon and is drawdown in the investment horizon. Empirical tests are carried out based on the optimal portfolio strategy. Among all possible optimal portfolio strategies based on different parameters to select portfolios and different criteria to identify market conditions, 65% of our optimal portfolio strategies outperform the random strategy for the Shanghai A-Share market while the proportion is 70% for the Shenzhen A-Share market.

  15. Teacher Portfolios.

    Science.gov (United States)

    Wolfe-Quintero, Kate; Brown, James Dean

    1998-01-01

    A portfolio of achievements, experiences, and reflections can help English-as-a-Second-Language teachers attain professional development goals and offer administrators greater insight for making informed hiring and job-performance decisions. This paper focuses on what teacher portfolios are, what their contents should be, and what their uses are…

  16. Teaching Portfolio

    DEFF Research Database (Denmark)

    Pedersen, Christian Fischer

    The present teaching portfolio has been submitted for evaluation in partial fulfillment of the requirements of the teacher training programme for Assistant Professors at Department of Engineering, Aarhus University, Denmark.......The present teaching portfolio has been submitted for evaluation in partial fulfillment of the requirements of the teacher training programme for Assistant Professors at Department of Engineering, Aarhus University, Denmark....

  17. Customer portfolios

    DEFF Research Database (Denmark)

    Clarke, Ann Højbjerg; Freytag, Per Vagn; Zolkiewski, Judith

    2017-01-01

    gives managers a tool to help to cope with the dynamic aspects of the customer portfolio. Recognition of the importance of communication to the process, the development of trust and the role of legitimacy also provides areas that managers can focus upon in their relationship management processes......Purpose The purpose of this paper is to extend the discussion about customer portfolios beyond simple identification of models and how they can be used for balanced resource allocation to a discussion about how portfolios should take into account views from relationship partners and how they should...... that helps improve the understanding of how customer portfolio models can actually be applied from a relational perspective. Findings The key aspects of the conceptual framework relate to how alignment of the relationships in the portfolio is achieved. Critical to this are the interaction spaces...

  18. PORTFOLIO OPTIMIZATION ON CROATIAN CAPITAL MARKET

    Directory of Open Access Journals (Sweden)

    Sinisa Bogdan

    2013-12-01

    Full Text Available Purpose of this paper was to research portfolio optimization problem on Croatian capital market using Markowitz theory. Research systematically investigated the selection of securities, and defined the importance of using fundamental analysis when selecting the best combination of securities. Since fundamental analysis involves a large number of indicators, this paper selected key indicators that enable a complete and quick securities review on the market. This paper clarifies diversification effect and influence of the correlation coefficient on diversification. Two basic types of assets (stocks and cash funds have been chosen to build the optimal portfolio. Cash funds were selected because they represent a form of risk-free investment, while stocks were chosen because of the high level of return which they achieve. At the end of paper, optimal portfolio was calculated with an excellent yield of 1.82% and deviation of 5.77% on a monthly basis which corresponds to the minimum deviation of the selected stocks. Calculated optimal portfolio achieves better expected value than investing in stock index CROBEX, which for the same period achieves the expected result of -0.02%.

  19. Portfolio optimization using median-variance approach

    Science.gov (United States)

    Wan Mohd, Wan Rosanisah; Mohamad, Daud; Mohamed, Zulkifli

    2013-04-01

    Optimization models have been applied in many decision-making problems particularly in portfolio selection. Since the introduction of Markowitz's theory of portfolio selection, various approaches based on mathematical programming have been introduced such as mean-variance, mean-absolute deviation, mean-variance-skewness and conditional value-at-risk (CVaR) mainly to maximize return and minimize risk. However most of the approaches assume that the distribution of data is normal and this is not generally true. As an alternative, in this paper, we employ the median-variance approach to improve the portfolio optimization. This approach has successfully catered both types of normal and non-normal distribution of data. With this actual representation, we analyze and compare the rate of return and risk between the mean-variance and the median-variance based portfolio which consist of 30 stocks from Bursa Malaysia. The results in this study show that the median-variance approach is capable to produce a lower risk for each return earning as compared to the mean-variance approach.

  20. A diversified portfolio model of adaptability.

    Science.gov (United States)

    Chandra, Siddharth; Leong, Frederick T L

    2016-12-01

    A new model of adaptability, the diversified portfolio model (DPM) of adaptability, is introduced. In the 1950s, Markowitz developed the financial portfolio model by demonstrating that investors could optimize the ratio of risk and return on their portfolios through risk diversification. The DPM integrates attractive features of a variety of models of adaptability, including Linville's self-complexity model, the risk and resilience model, and Bandura's social cognitive theory. The DPM draws on the concept of portfolio diversification, positing that diversified investment in multiple life experiences, life roles, and relationships promotes positive adaptation to life's challenges. The DPM provides a new integrative model of adaptability across the biopsychosocial levels of functioning. More importantly, the DPM addresses a gap in the literature by illuminating the antecedents of adaptive processes studied in a broad array of psychological models. The DPM is described in relation to the biopsychosocial model and propositions are offered regarding its utility in increasing adaptiveness. Recommendations for future research are also offered. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  1. Multivariate GARCH models and Black-Litterman approach for tracking error constrained portfolios: an empirical analysis

    OpenAIRE

    Giulio PALOMBA

    2006-01-01

    In a typical tactical asset allocation set up managers generally make their investment decisions by inserting private information in an optimisation mechanism used to beat a benchmark portfolio; in this context the sole approach a' la Markowitz (1959) does not use all the available information about expected excess return and especially it does not take two main factors into account: first, asset returns often show changes in volatility, and second, the manager's private information plays no ...

  2. Portfolio Management

    Science.gov (United States)

    Duncan, Sharon L.

    2011-01-01

    Enterprise Business Information Services Division (EBIS) supports the Laboratory and its functions through the implementation and support of business information systems on behalf of its business community. EBIS Five Strategic Focus Areas: (1) Improve project estimating, planning and delivery capability (2) Improve maintainability and sustainability of EBIS Application Portfolio (3) Leap forward in IT Leadership (4) Comprehensive Talent Management (5) Continuous IT Security Program. Portfolio Management is a strategy in which software applications are managed as assets

  3. Analysis of portfolio optimization with lot of stocks amount constraint: case study index LQ45

    Science.gov (United States)

    Chin, Liem; Chendra, Erwinna; Sukmana, Agus

    2018-01-01

    To form an optimum portfolio (in the sense of minimizing risk and / or maximizing return), the commonly used model is the mean-variance model of Markowitz. However, there is no amount of lots of stocks constraint. And, retail investors in Indonesia cannot do short selling. So, in this study we will develop an existing model by adding an amount of lot of stocks and short-selling constraints to get the minimum risk of portfolio with and without any target return. We will analyse the stocks listed in the LQ45 index based on the stock market capitalization. To perform this analysis, we will use Solver that available in Microsoft Excel.

  4. Switching portfolios.

    Science.gov (United States)

    Singer, Y

    1997-08-01

    A constant rebalanced portfolio is an asset allocation algorithm which keeps the same distribution of wealth among a set of assets along a period of time. Recently, there has been work on on-line portfolio selection algorithms which are competitive with the best constant rebalanced portfolio determined in hindsight (Cover, 1991; Helmbold et al., 1996; Cover and Ordentlich, 1996). By their nature, these algorithms employ the assumption that high returns can be achieved using a fixed asset allocation strategy. However, stock markets are far from being stationary and in many cases the wealth achieved by a constant rebalanced portfolio is much smaller than the wealth achieved by an ad hoc investment strategy that adapts to changes in the market. In this paper we present an efficient portfolio selection algorithm that is able to track a changing market. We also describe a simple extension of the algorithm for the case of a general transaction cost, including the transactions cost models recently investigated in (Blum and Kalai, 1997). We provide a simple analysis of the competitiveness of the algorithm and check its performance on real stock data from the New York Stock Exchange accumulated during a 22-year period. On this data, our algorithm outperforms all the algorithms referenced above, with and without transaction costs.

  5. The Formation of Optimal Portfolio of Mutual Shares Funds using Multi-Objective Genetic Algorithm

    Directory of Open Access Journals (Sweden)

    Yandra Arkeman

    2013-09-01

    Full Text Available Investments in financial assets have become a trend in the globalization era, especially the investment in mutual fund shares. Investors who want to invest in stock mutual funds can set up an investment portfolio in order to generate a minimal risk and maximum return. In this study the authors used the Multi-Objective Genetic Algorithm Non-dominated Sorting II (MOGA NSGA-II technique with the Markowitz portfolio principle to find the best portfolio from several mutual funds. The data used are 10 company stock mutual funds with a period of 12 months, 24 months and 36 months. The genetic algorithm parameters used are crossover probability of 0.65, mutation probability of 0.05, Generation 400 and a population numbering 20 individuals. The study produced a combination of the best portfolios for the period of 24 months with a computing time of 63,289 seconds.

  6. Automated Portfolio Optimization Based on a New Test for Structural Breaks

    Directory of Open Access Journals (Sweden)

    Tobias Berens

    2014-04-01

    Full Text Available We present a completely automated optimization strategy which combines the classical Markowitz mean-variance portfolio theory with a recently proposed test for structural breaks in covariance matrices. With respect to equity portfolios, global minimum-variance optimizations, which base solely on the covariance matrix, yield considerable results in previous studies. However, financial assets cannot be assumed to have a constant covariance matrix over longer periods of time. Hence, we estimate the covariance matrix of the assets by respecting potential change points. The resulting approach resolves the issue of determining a sample for parameter estimation. Moreover, we investigate if this approach is also appropriate for timing the reoptimizations. Finally, we apply the approach to two datasets and compare the results to relevant benchmark techniques by means of an out-of-sample study. It is shown that the new approach outperforms equally weighted portfolios and plain minimum-variance portfolios on average.

  7. Linear versus quadratic portfolio optimization model with transaction cost

    Science.gov (United States)

    Razak, Norhidayah Bt Ab; Kamil, Karmila Hanim; Elias, Siti Masitah

    2014-06-01

    Optimization model is introduced to become one of the decision making tools in investment. Hence, it is always a big challenge for investors to select the best model that could fulfill their goal in investment with respect to risk and return. In this paper we aims to discuss and compare the portfolio allocation and performance generated by quadratic and linear portfolio optimization models namely of Markowitz and Maximin model respectively. The application of these models has been proven to be significant and popular among others. However transaction cost has been debated as one of the important aspects that should be considered for portfolio reallocation as portfolio return could be significantly reduced when transaction cost is taken into consideration. Therefore, recognizing the importance to consider transaction cost value when calculating portfolio' return, we formulate this paper by using data from Shariah compliant securities listed in Bursa Malaysia. It is expected that, results from this paper will effectively justify the advantage of one model to another and shed some lights in quest to find the best decision making tools in investment for individual investors.

  8. Differentiated risk models in portfolio optimization: a comparative analysis of the degree of diversification and performance in the São Paulo Stock Exchange (BOVESPA

    Directory of Open Access Journals (Sweden)

    Ivan Ricardo Gartner

    2012-08-01

    Full Text Available Faced with so many risk modeling alternatives in portfolio optimization, several questions arise regarding their legitimacy, utility and applicability. In particular, a question arises involving the adherence of the alternative models with regard to the basic presupposition of Markowitz's classical model, with regard to the concept of diversification as a means of controlling the relationship between risk and return within a process of optimization. In this context, the aim of this article is to explore the risk-differentiated configurations that entropy can provide, from the point of view of the repercussions that these have on the degree of diversification and on portfolios performance. The reach of this objective requires that a comparative analysis is made between models that include entropy in their formulation and the classic Markowitz model. In order to contribute to this debate, this article proposes that adaptations are made to the models of relative minimum entropy and of maximum entropy, so that these can be applied to investment portfolio optimizations. The comparative analysis was based on performance indicators and on a ratio of the degree of portfolio diversification. The portfolios were formed by considering a sample of fourteen assets that compose the IBOVESPA, which were projected during the period from January 2007 to December 2009, and took into account the matrices of covariance that were formed as from January 1999. When comparing the Markowitz model with two models that were constructed to represent new risk configurations based on entropy optimization, the present study concluded that the first model was far superior to the others. Not only did the Markowitz model present better accumulated nominal yields, it also presented a far greater predictive efficiency and better effective performance, when considering the trade-off between risk and return. However, with regards to diversification, the Markowitz model concentrated

  9. Measuring Treasury Bond Portfolio Risk and Portfolio Optimization with a Non-Gaussian Multivariate Model

    Science.gov (United States)

    Dong, Yijun

    The research about measuring the risk of a bond portfolio and the portfolio optimization was relatively rare previously, because the risk factors of bond portfolios are not very volatile. However, this condition has changed recently. The 2008 financial crisis brought high volatility to the risk factors and the related bond securities, even if the highly rated U.S. treasury bonds. Moreover, the risk factors of bond portfolios show properties of fat-tailness and asymmetry like risk factors of equity portfolios. Therefore, we need to use advanced techniques to measure and manage risk of bond portfolios. In our paper, we first apply autoregressive moving average generalized autoregressive conditional heteroscedasticity (ARMA-GARCH) model with multivariate normal tempered stable (MNTS) distribution innovations to predict risk factors of U.S. treasury bonds and statistically demonstrate that MNTS distribution has the ability to capture the properties of risk factors based on the goodness-of-fit tests. Then based on empirical evidence, we find that the VaR and AVaR estimated by assuming normal tempered stable distribution are more realistic and reliable than those estimated by assuming normal distribution, especially for the financial crisis period. Finally, we use the mean-risk portfolio optimization to minimize portfolios' potential risks. The empirical study indicates that the optimized bond portfolios have better risk-adjusted performances than the benchmark portfolios for some periods. Moreover, the optimized bond portfolios obtained by assuming normal tempered stable distribution have improved performances in comparison to the optimized bond portfolios obtained by assuming normal distribution.

  10. Comparative evaluation of fuzzy logic and genetic algorithms models for portfolio optimization

    Directory of Open Access Journals (Sweden)

    Heidar Masoumi Soureh

    2017-03-01

    Full Text Available Selection of optimum methods which have appropriate speed and precision for planning and de-cision-making has always been a challenge for investors and managers. One the most important concerns for them is investment planning and optimization for acquisition of desirable wealth under controlled risk with the best return. This paper proposes a model based on Markowitz the-orem by considering the aforementioned limitations in order to help effective decisions-making for portfolio selection. Then, the model is investigated by fuzzy logic and genetic algorithms, for the optimization of the portfolio in selected active companies listed in Tehran Stock Exchange over the period 2012-2016 and the results of the above models are discussed. The results show that the two studied models had functional differences in portfolio optimization, its tools and the possibility of supplementing each other and their selection.

  11. 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%.

  12. Reflection of the Cointegration Relation among the Stock Markets on the Portfolio Choices: An Empirical Application for Fragile Five Countries

    Directory of Open Access Journals (Sweden)

    Gulfen Tuna

    2016-12-01

    Full Text Available The aim of this study is to examine the long-term relationship between each pair of the countries separate from those in the Stock Markets of Fragile Five Countries and determine the optimal portfolio options for each of the BIITS countries according to the pieces of evidence obtained. Thus, the reflection of the concertedness among financial markets to the optimal portfolio options has been studied. Accordingly, long term relationships between each pair of BIITS countries have been investigated with monthly price value between June 2006 and July 2015 by means of Maki Cointegration Test. Optimal portfolio options have been established according to the Markowitz Model considering the long-term relationships between the markets. The pieces of evidence obtained show that lower-risk portfolios than the ones in their own national markets can be established in BIITS countries by applying international diversification

  13. Use of crops and livestock futures contracts in portfolios: an analysis of feasibility

    Directory of Open Access Journals (Sweden)

    Mattos Fabio L.

    2003-01-01

    Full Text Available According to Portfolio Theory, by combining assets that show a correlation inferior to one (1 among their individual returns, it becomes possible to create portfolios that reduce risk without damaging expected return. Crop and livestock futures contracts and company stocks show such a characteristic, which signals potential benefits when forming portfolios combining these two types of assets. This investment strategy is not often utilized in Brazil. The purpose of our research was to assess whether such an asset combination is actually advantageous to those creating investment portfolios in the Brazilian market. Our evaluation used instruments of analysis developed by Markowitz in Portfolio Theory and data about the return from crop and livestock futures contracts and stocks. The data was gathered from the Brazilian Futures and Commodities Exchange (BM&F and Brazil?s National Association of Open Market Institutions (ANDIMA between July 1994 and December 1998. The results of this work showed that the combination of these two types of assets in investment portfolios can be an interesting portfolio management alternative.

  14. Universal portfolios in stochastic portfolio theory

    OpenAIRE

    Wong, Ting-Kam Leonard

    2015-01-01

    Consider a family of portfolio strategies with the aim of achieving the asymptotic growth rate of the best one. The idea behind Cover's universal portfolio is to build a wealth-weighted average which can be viewed as a buy-and-hold portfolio of portfolios. When an optimal portfolio exists, the wealth-weighted average converges to it by concentration of wealth. Working under a discrete time and pathwise setup, we show under suitable conditions that the distribution of wealth in the family sati...

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

    Directory of Open Access Journals (Sweden)

    Yen Sun

    2010-05-01

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

  16. Regularizing portfolio optimization

    International Nuclear Information System (INIS)

    Still, Susanne; Kondor, Imre

    2010-01-01

    The optimization of large portfolios displays an inherent instability due to estimation error. This poses a fundamental problem, because solutions that are not stable under sample fluctuations may look optimal for a given sample, but are, in effect, very far from optimal with respect to the average risk. In this paper, we approach the problem from the point of view of statistical learning theory. The occurrence of the instability is intimately related to over-fitting, which can be avoided using known regularization methods. We show how regularized portfolio optimization with the expected shortfall as a risk measure is related to support vector regression. The budget constraint dictates a modification. We present the resulting optimization problem and discuss the solution. The L2 norm of the weight vector is used as a regularizer, which corresponds to a diversification 'pressure'. This means that diversification, besides counteracting downward fluctuations in some assets by upward fluctuations in others, is also crucial because it improves the stability of the solution. The approach we provide here allows for the simultaneous treatment of optimization and diversification in one framework that enables the investor to trade off between the two, depending on the size of the available dataset.

  17. Regularizing portfolio optimization

    Science.gov (United States)

    Still, Susanne; Kondor, Imre

    2010-07-01

    The optimization of large portfolios displays an inherent instability due to estimation error. This poses a fundamental problem, because solutions that are not stable under sample fluctuations may look optimal for a given sample, but are, in effect, very far from optimal with respect to the average risk. In this paper, we approach the problem from the point of view of statistical learning theory. The occurrence of the instability is intimately related to over-fitting, which can be avoided using known regularization methods. We show how regularized portfolio optimization with the expected shortfall as a risk measure is related to support vector regression. The budget constraint dictates a modification. We present the resulting optimization problem and discuss the solution. The L2 norm of the weight vector is used as a regularizer, which corresponds to a diversification 'pressure'. This means that diversification, besides counteracting downward fluctuations in some assets by upward fluctuations in others, is also crucial because it improves the stability of the solution. The approach we provide here allows for the simultaneous treatment of optimization and diversification in one framework that enables the investor to trade off between the two, depending on the size of the available dataset.

  18. Model of Formation of the Enterprise Business Portfolio in the Context of Ensuring Strategic Flexibility

    Directory of Open Access Journals (Sweden)

    Shatilova Olena V.

    2014-01-01

    Full Text Available The article considers urgent problems of enterprise management under conditions of external environment instability, studies problems of the enterprise strategic flexibility management. It shows that one of the efficient mechanisms of ensuring strategic flexibility is restructuring of the enterprise business portfolio in accordance with the change of the situation in the target market of enterprise functioning. The goal of the article is development of a model of formation of enterprise business portfolio in the context of ensuring strategic flexibility. The main method of optimisation of the enterprise business portfolio in the context of ensuring strategic flexibility is the use of modification of the Markowitz model of investment portfolio formation. The offered model of the enterprise business portfolio formation allows taking into account changes of external and internal environments and conducting portfolio restructuring in the event of the change of the enterprise target market situation. Prospects of further studies in this direction are detailed elaboration and formalisation of the organisational and economic mechanism of realisation of strategic flexibility at an enterprise.

  19. MARKOWITZ MODEL DALAM PEMBENTUKAN PORTOFOLIO OPTIMAL (STUDI KASUS PADA JAKARTA ISLAMIC INDEX

    Directory of Open Access Journals (Sweden)

    Irni Yunita

    2018-04-01

    Full Text Available Tujuan dari penelitian ini adalah untuk menentukan pemilihan portofolio optimal menggunakan model Markowitz. Penelitian ini menggunakan data time series dari tahun 2013 - 2018. Sampel penelitian terdiri dari 29 saham yang terdapat dalam Jakarta Islamic Index tahun 2018. Hasil penelitian menunjukkan bahwa terdapat 10 saham yang termasuk ke dalam portofolio optimal yaitu antara lain AKRA (3.4%, ADRO (3.3%, ICBP (4.7%, INCO (2.6%, MYRX (13.6%, PTPP (4.9%, PWON (11.3%, TPIA (1%, UNTR (15.7% dan UNVR (39.5%. Rata rata tingkat pengembalian portofolio adalah sebesar 1.22 % dan resiko portofolio adalah sebesar 0.0312, resiko tersebut di bawah resiko dari masing-masing saham individual pembentuk portofolio optimal.

  20. Robust Active Portfolio Management

    National Research Council Canada - National Science Library

    Erdogan, E; Goldfarb, D; Iyengar, G

    2006-01-01

    ... on the portfolio beta, and limits on cash and industry exposure. We show that the optimal portfolios can be computed by solving second-order cone programs -- a class of optimization problems with a worst case complexity (i.e...

  1. Time-Consistent Strategies for a Multiperiod Mean-Variance Portfolio Selection Problem

    Directory of Open Access Journals (Sweden)

    Huiling Wu

    2013-01-01

    Full Text Available It remained prevalent in the past years to obtain the precommitment strategies for Markowitz's mean-variance portfolio optimization problems, but not much is known about their time-consistent strategies. This paper takes a step to investigate the time-consistent Nash equilibrium strategies for a multiperiod mean-variance portfolio selection problem. Under the assumption that the risk aversion is, respectively, a constant and a function of current wealth level, we obtain the explicit expressions for the time-consistent Nash equilibrium strategy and the equilibrium value function. Many interesting properties of the time-consistent results are identified through numerical sensitivity analysis and by comparing them with the classical pre-commitment solutions.

  2. Perhitungan Value at Risk Pada Portfolio Optimal: Studi Perbandingan Saham Syariah dan Saham Konvensional

    Directory of Open Access Journals (Sweden)

    Sri Astuti Heryanti

    2017-05-01

    Full Text Available The aim of this study was to obtain empirical evidence about the difference between the level of risk when investing stocks in the Islamic and conventional by using Value at Risk (VaR. The object of research including consistent stock in the Jakarta Islamic Index and LQ45. The analytical method used in this research is quantitative analysis consisting of the establishment of the optimal portfolio by Markowitz method, calculation of VaR and testing the differences with Independent sample t-test. This study indicated that the value every stock can be reduced by diversifying through the establishment of an optimal portfolio. Based on the calculation Independent sample t-test, it is known that there is no difference between VaR of Islamic stocks and conventional stocks.

  3. Synthetic Analysis about Single-Criterion and Multi-Criterion Financial Assets Portfolio

    Directory of Open Access Journals (Sweden)

    Leonardo Badea

    2006-06-01

    Full Text Available This paper as a synthetic analyzis based on the Markowitz and Sharpe models deals with the problem of portfolio trying to determine both the optimum proportion of titles and the influence of a considered macroeconomic factor over their level of efficiency and risk. The improvement of these models was made through the introduction of a new model, the APT model (Arbitrage Price Theory, as a development of the uni-factorial CAPM model, in other words, the above-mentioned model only constitutes a particular form of the APT model trying to establish a relationship between the individual efficiency of a title from the portfolio and several macroeconomic factors. Also, this model involves the identification of macroeconomic factors influencing the profitability of the titles and the determination of the influence of these factors individually, through the application of the APT model.

  4. Synthetic Analysis about Single-Criterion and Multi-Criterion Financial Assets Portfolio

    Directory of Open Access Journals (Sweden)

    Leonardo Badea

    2006-08-01

    Full Text Available This paper as a synthetic analyzis based on the Markowitz and Sharpe models deals with the problem of portfolio trying to determine both the optimum proportion of titles and the influence of a considered macroeconomic factor over their level of efficiency and risk. The improvement of these models was made through the introduction of a new model, the APT model (Arbitrage Price Theory, as a development of the uni-factorial CAPM model, in other words, the above-mentioned model only constitutes a particular form of the APT model trying to establish a relationship between the individual efficiency of a title from the portfolio and several macroeconomic factors. Also, this model involves the identification of macroeconomic factors influencing the profitability of the titles and the determination of the influence of these factors individually, through the application of the APT model.

  5. Analysis of the effectiveness of the variance and Downside Risk measures for formation of investment portfolios

    Directory of Open Access Journals (Sweden)

    Mariúcha Nóbrega Bezerra

    2016-09-01

    Full Text Available This paper aims to analyze the efficacy of variance and measures of downside risk for of formation of investment portfolios in the Brazilian stock market. Using the methodologies of Ang (1975, Markowitz et al. (1993, Ballestero (2005, Estrada (2008 and Cumova and Nawrocki (2011, sought to find what the best method to solve the problem of asymmetric and endogenous matrix and, inspired by the work of Markowitz (1952 and Lohre, Neumann and Winterfeldt (2010, intended to be seen which risk metric is most suitable for the realization of more efficient allocation of resources in the stock market in Brazil. The sample was composed of stocks of IBrX 50, from 2000 to 2013. The results indicated that when the semivariance was used as a measure of asymmetric risk, if the investor can use more refined models for solving the problem of asymmetric semivariance-cosemivariance matrix, the model of Cumova and Nawrocki (2011 will be more effective. Furthermore, from the Brazilian data, VaR had become more effective than variance and other measures of downside risk with respect to minimizing the risk of loss. Thus, taken the assumption that the investor has asymmetric preferences regarding risk, forming portfolios of stocks in the Brazilian market is more efficient when using criteria of minimizing downside risk than the traditional mean-variance approach.

  6. Comprehensive Education Portfolio with a Career Focus

    Science.gov (United States)

    Kruger, Evonne J.; Holtzman, Diane M.; Dagavarian, Debra A.

    2013-01-01

    There are many types of student portfolios used within academia: the prior learning portfolio, credentialing portfolio, developmental portfolio, capstone portfolio, individual course portfolio, and the comprehensive education portfolio. The comprehensive education portfolio (CEP), as used by the authors, is a student portfolio, developed over…

  7. Concurrent credit portfolio losses.

    Science.gov (United States)

    Sicking, Joachim; Guhr, Thomas; Schäfer, Rudi

    2018-01-01

    We consider the problem of concurrent portfolio losses in two non-overlapping credit portfolios. In order to explore the full statistical dependence structure of such portfolio losses, we estimate their empirical pairwise copulas. Instead of a Gaussian dependence, we typically find a strong asymmetry in the copulas. Concurrent large portfolio losses are much more likely than small ones. Studying the dependences of these losses as a function of portfolio size, we moreover reveal that not only large portfolios of thousands of contracts, but also medium-sized and small ones with only a few dozens of contracts exhibit notable portfolio loss correlations. Anticipated idiosyncratic effects turn out to be negligible. These are troublesome insights not only for investors in structured fixed-income products, but particularly for the stability of the financial sector. JEL codes: C32, F34, G21, G32, H81.

  8. Research on regularized mean-variance portfolio selection strategy with modified Roy safety-first principle.

    Science.gov (United States)

    Atta Mills, Ebenezer Fiifi Emire; Yan, Dawen; Yu, Bo; Wei, Xinyuan

    2016-01-01

    We propose a consolidated risk measure based on variance and the safety-first principle in a mean-risk portfolio optimization framework. The safety-first principle to financial portfolio selection strategy is modified and improved. Our proposed models are subjected to norm regularization to seek near-optimal stable and sparse portfolios. We compare the cumulative wealth of our preferred proposed model to a benchmark, S&P 500 index for the same period. Our proposed portfolio strategies have better out-of-sample performance than the selected alternative portfolio rules in literature and control the downside risk of the portfolio returns.

  9. Recent evolution of italian households’ equity portfolio choices: an empirical investigation

    Directory of Open Access Journals (Sweden)

    Attilio Gardini

    2013-05-01

    Full Text Available We study Italian households’ portfolio choices, with a special focus on equity investments, by analysing jointly time series and cross-sectional portfolio data. We investigate the temporal evolution of the actual composition of Italian households’ investments in order to explain their portfolio choices and to detect possible determinants of the observed disequilibria phenomena. Moreover, we model the stock market participation choice by using probit regression techniques and we test for parameter stability over time. Instability of participation parameters and a peculiar evolution of Italian households’ portfolios pointed out by our concurrent analysis of cross-sectional and time series data seem to confirm the distance of Italian households’ financial decisions from the rational choice predicted by the Markowitz model. In particular, we find that the housing market bubbles interact strongly with the stock market and financial institutions seem to be unable to advise investors suggesting optimal portfolio choices. The deep reason behind these facts may be the bounded education of investors, in particular the low financial literacy of Italian households.

  10. Effective Stock Selection and Portfolio Construction Within US, International, and Emerging Markets

    Directory of Open Access Journals (Sweden)

    Bijan Beheshti

    2018-05-01

    Full Text Available In this paper, we explore the ex-post attributes of 120 simulated portfolios across the U.S., International, and Emerging Markets. We estimate expected returns using a given global stock selection model employing Global Equity Rating (GLER and Consensus Temporary Earnings Forecasting (CTEF signals. Our portfolios are constructed under the Markowitz optimization framework and constrained at various tracking error levels. Further, an alpha alignment factor is applied to aid in portfolio construction. As a result of our research, we present the reader with three key findings. First, GLER and CTEF signals employed as the primary inputs to security selection result in portfolios with superior risk adjusted returns relative to the Russell 3000, MSCI AC World ex. US, and MSCI Emerging Markets benchmarks which they are measured against. Second, expanding the investment universe outside the U.S. increases the opportunity set yielding higher risk adjusted performance. Third, the incorporation of an alpha alignment factor within the portfolio construction process improves risk forecasts resulting in ex-post tracking error aligning more closely to ex-ante, and ultimately improving information ratios.

  11. Decentralized portfolio management

    OpenAIRE

    Coutinho, Paulo; Tabak, Benjamin Miranda

    2003-01-01

    We use a mean-variance model to analyze the problem of decentralized portfolio management. We find the solution for the optimal portfolio allocation for a head trader operating in n different markets, which is called the optimal centralized portfolio. However, as there are many traders specialized in different markets, the solution to the problem of optimal decentralized allocation should be different from the centralized case. In this paper we derive conditions for the solutions to be equiva...

  12. Estimated correlation matrices and portfolio optimization

    Science.gov (United States)

    Pafka, Szilárd; Kondor, Imre

    2004-11-01

    Correlations of returns on various assets play a central role in financial theory and also in many practical applications. From a theoretical point of view, the main interest lies in the proper description of the structure and dynamics of correlations, whereas for the practitioner the emphasis is on the ability of the models to provide adequate inputs for the numerous portfolio and risk management procedures used in the financial industry. The theory of portfolios, initiated by Markowitz, has suffered from the “curse of dimensions” from the very outset. Over the past decades a large number of different techniques have been developed to tackle this problem and reduce the effective dimension of large bank portfolios, but the efficiency and reliability of these procedures are extremely hard to assess or compare. In this paper, we propose a model (simulation)-based approach which can be used for the systematical testing of all these dimensional reduction techniques. To illustrate the usefulness of our framework, we develop several toy models that display some of the main characteristic features of empirical correlations and generate artificial time series from them. Then, we regard these time series as empirical data and reconstruct the corresponding correlation matrices which will inevitably contain a certain amount of noise, due to the finiteness of the time series. Next, we apply several correlation matrix estimators and dimension reduction techniques introduced in the literature and/or applied in practice. As in our artificial world the only source of error is the finite length of the time series and, in addition, the “true” model, hence also the “true” correlation matrix, are precisely known, therefore in sharp contrast with empirical studies, we can precisely compare the performance of the various noise reduction techniques. One of our recurrent observations is that the recently introduced filtering technique based on random matrix theory performs

  13. Risk modelling in portfolio optimization

    Science.gov (United States)

    Lam, W. H.; Jaaman, Saiful Hafizah Hj.; Isa, Zaidi

    2013-09-01

    Risk management is very important in portfolio optimization. The mean-variance model has been used in portfolio optimization to minimize the investment risk. The objective of the mean-variance model is to minimize the portfolio risk and achieve the target rate of return. Variance is used as risk measure in the mean-variance model. The purpose of this study is to compare the portfolio composition as well as performance between the optimal portfolio of mean-variance model and equally weighted portfolio. Equally weighted portfolio means the proportions that are invested in each asset are equal. The results show that the portfolio composition of the mean-variance optimal portfolio and equally weighted portfolio are different. Besides that, the mean-variance optimal portfolio gives better performance because it gives higher performance ratio than the equally weighted portfolio.

  14. Dynamics of market correlations: taxonomy and portfolio analysis.

    Science.gov (United States)

    Onnela, J-P; Chakraborti, A; Kaski, K; Kertész, J; Kanto, A

    2003-11-01

    The time dependence of the recently introduced minimum spanning tree description of correlations between stocks, called the "asset tree" has been studied in order to reflect the financial market taxonomy. The nodes of the tree are identified with stocks and the distance between them is a unique function of the corresponding element of the correlation matrix. By using the concept of a central vertex, chosen as the most strongly connected node of the tree, an important characteristic is defined by the mean occupation layer. During crashes, due to the strong global correlation in the market, the tree shrinks topologically, and this is shown by a low value of the mean occupation layer. The tree seems to have a scale-free structure where the scaling exponent of the degree distribution is different for "business as usual" and "crash" periods. The basic structure of the tree topology is very robust with respect to time. We also point out that the diversification aspect of portfolio optimization results in the fact that the assets of the classic Markowitz portfolio are always located on the outer leaves of the tree. Technical aspects such as the window size dependence of the investigated quantities are also discussed.

  15. Dynamics of market correlations: Taxonomy and portfolio analysis

    Science.gov (United States)

    Onnela, J.-P.; Chakraborti, A.; Kaski, K.; Kertész, J.; Kanto, A.

    2003-11-01

    The time dependence of the recently introduced minimum spanning tree description of correlations between stocks, called the “asset tree” has been studied in order to reflect the financial market taxonomy. The nodes of the tree are identified with stocks and the distance between them is a unique function of the corresponding element of the correlation matrix. By using the concept of a central vertex, chosen as the most strongly connected node of the tree, an important characteristic is defined by the mean occupation layer. During crashes, due to the strong global correlation in the market, the tree shrinks topologically, and this is shown by a low value of the mean occupation layer. The tree seems to have a scale-free structure where the scaling exponent of the degree distribution is different for “business as usual” and “crash” periods. The basic structure of the tree topology is very robust with respect to time. We also point out that the diversification aspect of portfolio optimization results in the fact that the assets of the classic Markowitz portfolio are always located on the outer leaves of the tree. Technical aspects such as the window size dependence of the investigated quantities are also discussed.

  16. Optimization model using Markowitz model approach for reducing the number of dengue cases in Bandung

    Science.gov (United States)

    Yong, Benny; Chin, Liem

    2017-05-01

    Dengue fever is one of the most serious diseases and this disease can cause death. Currently, Indonesia is a country with the highest cases of dengue disease in Southeast Asia. Bandung is one of the cities in Indonesia that is vulnerable to dengue disease. The sub-districts in Bandung had different levels of relative risk of dengue disease. Dengue disease is transmitted to people by the bite of an Aedesaegypti mosquito that is infected with a dengue virus. Prevention of dengue disease is by controlling the vector mosquito. It can be done by various methods, one of the methods is fogging. The efforts made by the Health Department of Bandung through fogging had constraints in terms of limited funds. This problem causes Health Department selective in fogging, which is only done for certain locations. As a result, many sub-districts are not handled properly by the Health Department because of the unequal distribution of activities to prevent the spread of dengue disease. Thus, it needs the proper allocation of funds to each sub-district in Bandung for preventing dengue transmission optimally. In this research, the optimization model using Markowitz model approach will be applied to determine the allocation of funds should be given to each sub-district in Bandung. Some constraints will be added to this model and the numerical solution will be solved with generalized reduced gradient method using Solver software. The expected result of this research is the proportion of funds given to each sub-district in Bandung correspond to the level of risk of dengue disease in each sub-district in Bandung so that the number of dengue cases in this city can be reduced significantly.

  17. PSN: Portfolio Social Network

    DEFF Research Database (Denmark)

    Cortes, Jordi Magrina; Nizamani, Sarwat; Memon, Nasrullah

    2014-01-01

    In this paper we present a web-based information system which is a portfolio social network (PSN) that provides solutions to the recruiters and job seekers. The proposed system enables users to create portfolio so that he/she can add his specializations with piece of code if any specifically...

  18. Using Electronic Portfolios

    Science.gov (United States)

    Page, Deb

    2012-01-01

    The digitized collections of artifacts known as electronic portfolios are creating solutions to a variety of performance improvement needs in ways that are cost-effective and improve both individual and group learning and performance. When social media functionality is embedded in e-portfolios, the tools support collaboration, social learning,…

  19. Households' portfolio choices

    NARCIS (Netherlands)

    Hochgürtel, S.

    1998-01-01

    This thesis presents four topics on households' portfolio choices. Empirically, households do not hold well-diversified wealth portfolios. In particular, they refrain from putting their savings into risky assets. We explore several ways that might help explaining this observation. Using Dutch

  20. Portfolio i erhvervsuddannelserne

    DEFF Research Database (Denmark)

    2008-01-01

    Materialet kombinerer korte film med introducerende tekster og belyser fra forskellige vinkler, hvordan portfolio kan bruges som evalueringsmetode i erhvervsuddannelserne. Udgiver: Undervisningsministeriet Udgivelsessted: Pub.uvm.dk......Materialet kombinerer korte film med introducerende tekster og belyser fra forskellige vinkler, hvordan portfolio kan bruges som evalueringsmetode i erhvervsuddannelserne. Udgiver: Undervisningsministeriet Udgivelsessted: Pub.uvm.dk...

  1. Comparing Variance/Covariance and Historical Simulation in the Context of the Financial Crisis – Do Extreme Movements Have an Influence onto Portfolio Selection?

    Directory of Open Access Journals (Sweden)

    Svend Reuse

    2010-09-01

    Full Text Available Portfolio theory and the basic ideas of Markowitz have been extended in the recent past by alternative risk models as historical simulation or even copula functions. The central question of this paper is if these approaches lead to different results compared to the classical variance/covariance approach. Therefore, empirical data of the last 10 years is analysed. Both approaches are compared in the special context of the financial crisis. The worst case optimization and the Value at Risk (VaR are defined in order to define the minimum risk portfolio before and after the financial crisis. The result is that the financial crisis has nearly no impact onto the portfolio, but the two approaches lead to different results.

  2. The standard for portfolio management

    CERN Document Server

    2017-01-01

    The Standard for Portfolio Management – Fourth Edition has been updated to best reflect the current state of portfolio management. It describe the principles that drive accepted good portfolio management practices in today’s organizations. It also expands the description of portfolio management to reflect its relation to organizational project management and the organization.

  3. Utility portfolio diversification

    International Nuclear Information System (INIS)

    Griffes, P.H.

    1990-01-01

    This paper discusses portfolio analysis as a method to evaluate utility supply decisions. Specifically a utility is assumed to increase the value of its portfolio of assets whenever it invests in a new supply technology. This increase in value occurs because the new asset either enhances the return or diversifies the risks of the firm's portfolio of assets. This evaluation method is applied to two supply innovations in the electric utility industry: jointly-owned generating plants and supply contracts with independent power producers (IPPs)

  4. Constant Proportion Portfolio Insurance

    DEFF Research Database (Denmark)

    Jessen, Cathrine

    2014-01-01

    on the theme, originally proposed by Fischer Black. In CPPI, a financial institution guarantees a floor value for the “insured” portfolio and adjusts the stock/bond mix to produce a leveraged exposure to the risky assets, which depends on how far the portfolio value is above the floor. Plain-vanilla portfolio...... insurance largely died with the crash of 1987, but CPPI is still going strong. In the frictionless markets of finance theory, the issuer’s strategy to hedge its liability under the contract is clear, but in the real world with transactions costs and stochastic jump risk, the optimal strategy is less obvious...

  5. Portfolio Management System

    Data.gov (United States)

    US Agency for International Development — PfMS is an implementation of WorkLenz. WorkLenz is USAID's portfolio management system tool. It is a commercially available, off-the-shelf (COTS) package that...

  6. Applying Financial Portfolio Analysis to Government Program Portfolios

    Science.gov (United States)

    2007-06-01

    himself points out, “The Rational Man, like the unicorn , does not exist” (Markowitz, 1959). The various investor assumptions presented above break down...originally envisioned benefits quickly grow (Levine, 2005). As a recent Government Accountability Office report notes, the sheer size of IT spending in the...shows no change in EAC for the first three quarters and a decrease in the fourth quarter- although the SV and CV shrink and grow during the same period

  7. DIFFERENCES BETWEEN MEAN-VARIANCE AND MEAN-CVAR PORTFOLIO OPTIMIZATION MODELS

    Directory of Open Access Journals (Sweden)

    Panna Miskolczi

    2016-07-01

    Full Text Available Everybody heard already that one should not expect high returns without high risk, or one should not expect safety without low returns. The goal of portfolio theory is to find the balance between maximizing the return and minimizing the risk. To do so we have to first understand and measure the risk. Naturally a good risk measure has to satisfy several properties - in theory and in practise. Markowitz suggested to use the variance as a risk measure in portfolio theory. This led to the so called mean-variance model - for which Markowitz received the Nobel Prize in 1990. The model has been criticized because it is well suited for elliptical distributions but it may lead to incorrect conclusions in the case of non-elliptical distributions. Since then many risk measures have been introduced, of which the Value at Risk (VaR is the most widely used in the recent years. Despite of the widespread use of the Value at Risk there are some fundamental problems with it. It does not satisfy the subadditivity property and it ignores the severity of losses in the far tail of the profit-and-loss (P&L distribution. Moreover, its non-convexity makes VaR impossible to use in optimization problems. To come over these issues the Expected Shortfall (ES as a coherent risk measure was developed. Expected Shortfall is also called Conditional Value at Risk (CVaR. Compared to Value at Risk, ES is more sensitive to the tail behaviour of the P&L distribution function. In the first part of the paper I state the definition of these three risk measures. In the second part I deal with my main question: What is happening if we replace the variance with the Expected Shortfall in the portfolio optimization process. Do we have different optimal portfolios as a solution? And thus, does the solution suggests to decide differently in the two cases? To answer to these questions I analyse seven Hungarian stock exchange companies. First I use the mean-variance portfolio optimization model

  8. The portfolio theory applied to small hydroelectric power plants; Teoria do portfolio aplicada a pequenas centrais hidreletricas

    Energy Technology Data Exchange (ETDEWEB)

    Bastos, Paulo Roberto Ferreira de Moura

    2002-07-01

    The 'Portfolio Theory' has been largely employed on stock markets, aiming to improve the relation between risk and return. This theory identifies many possible investment combinations once it's associated with the idea that increasing investment diversification can lower risk. The objective is, thus identify the portfolio that offers the most efficient diversification of capital. The reforms on the energy sector in Brazil have made investments on both generation and commercialization of electric energy easier for medium sized investors. There have been economic incentives to the exploration of wind and bio-mass energy, and to the construction of small hydro-electric power plants (in Portuguese, PCH), as well as many legal and regulatory mechanisms pursuing the maintenance of elevate rates of participation of renewable source in the production of electrical energy in Brazil. Between these options, the PCH are a specially good opportunity taking account of its minimum environment impact, low operational costs and total technologic control. The decision concerning investment options has been based on standard economic analysis like 'Net Present Value', 'Payback Time' or 'Cost/Benefit Relations'. Other techniques such as scenario and sensitivity have been incorporated and, more recently, there has been a search for other methods consider the uncertainty of happenings within the horizon of study. This dissertation will analyse six possibilities of PCH with standard techniques. Of them, the four possibilities considered viable will constitute our examples for the application of Portfolio Theory techniques. Once the active portfolio is determined, the best option is identified using the 'mean-variance efficient' developed by Markowitz, concluding that the theory can give better support to the decision-making in future enterprises on the electric sector. After considering the optimal return/risk combinations, there was

  9. The portfolio theory applied to small hydroelectric power plants; Teoria do portfolio aplicada a pequenas centrais hidreletricas

    Energy Technology Data Exchange (ETDEWEB)

    Bastos, Paulo Roberto Ferreira de Moura

    2002-07-01

    The 'Portfolio Theory' has been largely employed on stock markets, aiming to improve the relation between risk and return. This theory identifies many possible investment combinations once it's associated with the idea that increasing investment diversification can lower risk. The objective is, thus identify the portfolio that offers the most efficient diversification of capital. The reforms on the energy sector in Brazil have made investments on both generation and commercialization of electric energy easier for medium sized investors. There have been economic incentives to the exploration of wind and bio-mass energy, and to the construction of small hydro-electric power plants (in Portuguese, PCH), as well as many legal and regulatory mechanisms pursuing the maintenance of elevate rates of participation of renewable source in the production of electrical energy in Brazil. Between these options, the PCH are a specially good opportunity taking account of its minimum environment impact, low operational costs and total technologic control. The decision concerning investment options has been based on standard economic analysis like 'Net Present Value', 'Payback Time' or 'Cost/Benefit Relations'. Other techniques such as scenario and sensitivity have been incorporated and, more recently, there has been a search for other methods consider the uncertainty of happenings within the horizon of study. This dissertation will analyse six possibilities of PCH with standard techniques. Of them, the four possibilities considered viable will constitute our examples for the application of Portfolio Theory techniques. Once the active portfolio is determined, the best option is identified using the 'mean-variance efficient' developed by Markowitz, concluding that the theory can give better support to the decision-making in future enterprises on the electric sector. After considering the optimal return/risk combinations, there was a change on the hierarchy concerning the best options

  10. Application of portfolio analysis to the Dutch generating mix. Reference case and two renewables cases, year 2030, SE and GE scenario

    International Nuclear Information System (INIS)

    Jansen, J.C.; Beurskens, L.W.M.; Van Tilburg, X.

    2006-02-01

    This report presents results of an application of Markowitz Portfolio Theory (MPT) to the future portfolio of electricity generating technologies in the Netherlands in year 2030. Projections are made based on two specific scenarios constructed by the Netherlands Bureau for Economic Policy Analysis (CPB), i.e. 'Strong Europe (SE)' and 'Global Economy (GE)'. This study zooms in on the electricity cost risk dimension of the Dutch portfolio of generating technologies. Major results of this study are: (a) In both scenarios, the base variant is not very efficient. Graphical analysis suggests that diversification may yield up to 20% risk reduction at no extra cost; (b) Promotion of renewable energy can greatly decrease the portfolio risk. Defining mixes without renewables results in significantly riskier mixes with relatively small impact on portfolio costs; (c) Because of its relative low risk and high potential, large-scale implementation of offshore wind can reduce cost risk of the Dutch generating portfolio while only in the GE scenario a (small) upward effect on the projected Dutch electricity cost in year 2030 is foreseen. In a SE world large-scale implementation of offshore wind is projected to have a downward effect on Dutch electricity prices by the year 2030

  11. Portfolio optimization using a hybrid of fuzzy ANP, VIKOR and TOPSIS

    Directory of Open Access Journals (Sweden)

    Reza Raei

    2012-10-01

    Full Text Available One of the primary questions in asset management is to find good combinations of different assets and this has been an interesting area of research for over half a century. The proposed model of this paper uses decision makers' feedbacks based on multiple criteria decision making technique to find an appropriate portfolio. We first select some important financial criteria and then using decision makers' opinions and by implementation of some fuzzy network analysis we find appropriate weights of the asset. The proposed model uses two multiple criteria techniques namely TOPSIS and VIKOR and the model is examined for some real-world data from Tehran Stock Exchange. The results of the implementation of the proposed model have been examined against Markowitz traditional model. The preliminary results indicate that the proposed model of this paper performs reasonably well compared with alternative method.

  12. MARKOWITZ' MODEL WITH FUNDAMENTAL AND TECHNICAL ANALYSIS – COMPLEMENTARY METHODS OR NOT

    Directory of Open Access Journals (Sweden)

    Branka Marasović

    2011-02-01

    Full Text Available As it is well known there are few “starting points” in portfolio optimization process, i.e. in the stock selection process. Famous Markowitz’ optimization model is unavoidable in this job. On the other side, someone may say that the indicators of the fundamental analysis must be the starting point. Beside that, the suggestions of the technical analysis must be taken into consideration. There are really numerous studies of the each approach separately, but it is almost impossible to find researches combining these approaches in logic and efficient unity. The main task of the paper is to find out if these approaches are complementary and if they are, how to apply them as efficient unit process. The empirical part of the study uses share sample from the Croatian stock market. Beside Markowitz’ MV model, fundamental and technical analysis, big role in the paper has an original multi-criterion approach.

  13. Backtesting Portfolio Value-at-Risk with Estimated Portfolio Weights

    OpenAIRE

    Pei Pei

    2010-01-01

    This paper theoretically and empirically analyzes backtesting portfolio VaR with estimation risk in an intrinsically multivariate framework. For the first time in the literature, it takes into account the estimation of portfolio weights in forecasting portfolio VaR and its impact on backtesting. It shows that the estimation risk from estimating the portfolio weights as well as that from estimating the multivariate dynamic model of asset returns make the existing methods in a univariate framew...

  14. The Use of Neural Network and Portfolio Analysis in Forecasting Share Prices at the Stock Exchange

    Directory of Open Access Journals (Sweden)

    Przemyslaw Stochel

    2000-01-01

    Full Text Available The article presents the use of neural networks in decision making process on the capital market. The author tried to show the efficiency of established solution in Polish reality which features different conditions in comparison with the markets of higher developed countries. The aim of the paper was to prove that neural networks are flexible tools which on one hand might be adjusted to investor's requirements and on the other, can reduce equirements to his experience. The article is based on the author's own research carried out by modelling neural network operation with a simulation program. The established solutions are input which employs stocks portfolio computed on the basis of Markowitz portfolio theory and Sharpe's model. According to the established propositions, the portfolio created in such a way is modified by neutral network in order to optimise a criterion which maximises the income of such a modified portfolio. A detailed genesis of the established input vector and network structure are presented. It allows the reader to carry out his own research and create his own attitude towards applied values. The research results based on a real stock market database with the use of one-output networks predicting thc price of a single company - Agros as well as networks predicting the desirable structure of the whole portfolio are presented. The effect of the network structure leaming parameters, input vector (not only as to the input quantity but also as to period of time they were collected was examined. The dependence between the factors mentioned above such as input vector and network structure were discussed. lt seems that the presented paper has proved that some not widely spread methods with neural networks can become at competitive tool to optimisation methods.

  15. A General Framework for Portfolio Theory—Part I: Theory and Various Models

    Directory of Open Access Journals (Sweden)

    Stanislaus Maier-Paape

    2018-05-01

    Full Text Available Utility and risk are two often competing measurements on the investment success. We show that efficient trade-off between these two measurements for investment portfolios happens, in general, on a convex curve in the two-dimensional space of utility and risk. This is a rather general pattern. The modern portfolio theory of Markowitz (1959 and the capital market pricing model Sharpe (1964, are special cases of our general framework when the risk measure is taken to be the standard deviation and the utility function is the identity mapping. Using our general framework, we also recover and extend the results in Rockafellar et al. (2006, which were already an extension of the capital market pricing model to allow for the use of more general deviation measures. This generalized capital asset pricing model also applies to e.g., when an approximation of the maximum drawdown is considered as a risk measure. Furthermore, the consideration of a general utility function allows for going beyond the “additive” performance measure to a “multiplicative” one of cumulative returns by using the log utility. As a result, the growth optimal portfolio theory Lintner (1965 and the leverage space portfolio theory Vince (2009 can also be understood and enhanced under our general framework. Thus, this general framework allows a unification of several important existing portfolio theories and goes far beyond. For simplicity of presentation, we phrase all for a finite underlying probability space and a one period market model, but generalizations to more complex structures are straightforward.

  16. Decentralized Portfolio Management

    Directory of Open Access Journals (Sweden)

    Benjamin Miranda Tabak

    2003-12-01

    Full Text Available We use a mean-variance model to analyze the problem of decentralized portfolio management. We find the solution for the optimal portfolio allocation for a head trader operating in n different markets, which is called the optimal centralized portfolio. However, as there are many traders specialized in different markets, the solution to the problem of optimal decentralized allocation should be different from the centralized case. In this paper we derive conditions for the solutions to be equivalent. We use multivariate normal returns and a negative exponential function to solve the problem analytically. We generate the equivalence of solutions by assuming that different traders face different interest rates for borrowing and lending. This interest rate is dependent on the ratio of the degrees of risk aversion of the trader and the head trader, on the excess return, and on the correlation between asset returns.

  17. Linearly Adjustable International Portfolios

    Science.gov (United States)

    Fonseca, R. J.; Kuhn, D.; Rustem, B.

    2010-09-01

    We present an approach to multi-stage international portfolio optimization based on the imposition of a linear structure on the recourse decisions. Multiperiod decision problems are traditionally formulated as stochastic programs. Scenario tree based solutions however can become intractable as the number of stages increases. By restricting the space of decision policies to linear rules, we obtain a conservative tractable approximation to the original problem. Local asset prices and foreign exchange rates are modelled separately, which allows for a direct measure of their impact on the final portfolio value.

  18. Linearly Adjustable International Portfolios

    International Nuclear Information System (INIS)

    Fonseca, R. J.; Kuhn, D.; Rustem, B.

    2010-01-01

    We present an approach to multi-stage international portfolio optimization based on the imposition of a linear structure on the recourse decisions. Multiperiod decision problems are traditionally formulated as stochastic programs. Scenario tree based solutions however can become intractable as the number of stages increases. By restricting the space of decision policies to linear rules, we obtain a conservative tractable approximation to the original problem. Local asset prices and foreign exchange rates are modelled separately, which allows for a direct measure of their impact on the final portfolio value.

  19. Agile Project Portfolio Management

    DEFF Research Database (Denmark)

    Andersen, Jesper Rank; Riis, Jens Ove; Mikkelsen, Hans

    2005-01-01

    This paper will provide a preliminary introduction to the application of Agile Thinking in management of project portfolio and company development. At any point in time, companies have a crowd of development initiatives spread around the organisation and managed at different levels...... in the managerial hierarchy. They compete for resources and managerial attention, and they often take too long time - and some do not survive in the rapid changing context. Top man¬agers ask for speed, flexibility and effectiveness in the portfolio of development activities (projects). But which competencies...

  20. Portfolio Analysis for Vector Calculus

    Science.gov (United States)

    Kaplan, Samuel R.

    2015-01-01

    Classic stock portfolio analysis provides an applied context for Lagrange multipliers that undergraduate students appreciate. Although modern methods of portfolio analysis are beyond the scope of vector calculus, classic methods reinforce the utility of this material. This paper discusses how to introduce classic stock portfolio analysis in a…

  1. A Monte Carlo simulation technique to determine the optimal portfolio

    Directory of Open Access Journals (Sweden)

    Hassan Ghodrati

    2014-03-01

    Full Text Available During the past few years, there have been several studies for portfolio management. One of the primary concerns on any stock market is to detect the risk associated with various assets. One of the recognized methods in order to measure, to forecast, and to manage the existing risk is associated with Value at Risk (VaR, which draws much attention by financial institutions in recent years. VaR is a method for recognizing and evaluating of risk, which uses the standard statistical techniques and the method has been used in other fields, increasingly. The present study has measured the value at risk of 26 companies from chemical industry in Tehran Stock Exchange over the period 2009-2011 using the simulation technique of Monte Carlo with 95% confidence level. The used variability in the present study has been the daily return resulted from the stock daily price change. Moreover, the weight of optimal investment has been determined using a hybrid model called Markowitz and Winker model in each determined stocks. The results showed that the maximum loss would not exceed from 1259432 Rials at 95% confidence level in future day.

  2. Evaluation of IP Portfolios

    DEFF Research Database (Denmark)

    Søberg, Peder Veng

    2009-01-01

    As a result of an inquiry concerning how to evaluate IP (intellectual property) portfolios in order to enable the best possible use of IP resources within organizations, an IP evaluation approach primarily applicable for patents and utility models is developed. The developed approach is useful...... of the organization owning the IP....

  3. Acreage portfolio management

    International Nuclear Information System (INIS)

    Schneider, Georges

    1994-01-01

    This chapter demonstrates the need for acreage portfolio management at the stage of maturity which has been reached in the UK sector of the North Sea petroleum industry. It outlines the goals, the main features of the deals and the business process. (UK)

  4. Portfolio, refleksion og feedback

    DEFF Research Database (Denmark)

    Hansen, Jens Jørgen; Qvortrup, Ane; Christensen, Inger-Marie F.

    2017-01-01

    Denne leder definerer indledningsvist begrebet portfolio og gør rede for anvendelsesmuligheder i en uddannelseskontekst. Dernæst behandles portfoliometodens kvalitet og effekt for læring og undervisning og de centrale begreber refleksion, progression og feedback præsenteres og diskuteres. Herefter...

  5. Portfolio optimization retail investor

    Directory of Open Access Journals (Sweden)

    I. А. Kiseleva

    2016-01-01

    Full Text Available The article notes that the task of the investor's risk management is to, on the one hand, as much as possible to strive to achieve the criterion of risk level, and on the other hand, in any case not exceed it. Since the domestic theory of risk management is under development, the problem of the optimal ratio of "risk-income" becomes now of particular relevance. This article discusses the different distribution areas of the private investor in order to obtain the maximum profit. The analysis showed us the overall economic and political system of the country, as well as the legislative provision of guarantees to the investor. To obtain sufficient income and reduce losses it is important to maintain the optimum value found between the amount of the investor's risk and capital transactions. Model of optimal placement of funds led to the conclusion about inexpediency strong increase in the diversification of the investment portfolio (more than 10 different types of assets in the portfolio, since it increases the complexity of its practical form, while the portfolio characteristics are improved significantly. It is concluded that it is impossible to increase revenue without increasing the risk or reduce risk without reducing income. The analysis shows that there is no single best asset portfolio. It is impossible to increase revenue without increasing the risk or reduce risk without reducing income. Possible combination of the "riskincome" will depend on the objective function. Most diversified and bringing the best return per unit of risk, is a portfolio that contains the most risky assets.

  6. Macroeconomic factors and foreign portfolio investment volatility: A case of South Asian countries

    Directory of Open Access Journals (Sweden)

    Yahya Waqas

    2015-12-01

    Full Text Available Macroeconomic factors play a pivotal role in attracting foreign investment in the country. This study investigates the relationship between macroeconomic factors and foreign portfolio investment volatility in South Asian countries. The monthly data is collected for the period ranging from 2000 to 2012 for four Asian countries i.e. China, India, Pakistan and Sri Lanka because monthly data is ideal for measuring portfolio investment volatility. For measuring volatility in foreign portfolio investment, GARCH (1,1 is used because shocks are responded quickly by this model. The results reveal that there exists significant relationship between macroeconomic factors and foreign portfolio investment volatility. Thus, less volatility in international portfolio flows is associated with high interest rate, currency depreciation, foreign direct investment, lower inflation, and higher GDP growth rate of the host country. Thus findings of this study suggest that foreign portfolio investors focus on stable macroeconomic environment of country.

  7. Strategic innovation portfolio management

    Directory of Open Access Journals (Sweden)

    Stanković Ljiljana

    2015-01-01

    Full Text Available In knowledge-based economy, strategic innovation portfolio management becomes more and more important and critical factor of enterprise's success. Value creation for all the participants in value chain is more successful if it is based on efficient resource allocation and improvement of innovation performances. Numerous researches have shown that companies with best position on the market found their competitiveness on efficient development and exploitation of innovations. In decision making process, enterprise's management is constantly faced with challenge to allocate resources and capabilities as efficiently as possible, in both short and long term. In this paper authors present preliminary results of realized empirical research related to strategic innovation portfolio management in ten chosen enterprises in Serbia. The structure of the paper includes the following parts: theoretical background, explanation of research purpose and methodology, discussion of the results and concluding remarks, including limitations and directions for further research.

  8. Acreage portfolio management

    International Nuclear Information System (INIS)

    Schneider, G.M.

    1992-01-01

    This paper reports that the need for managing the acreage portfolio in the UK North Sea arises from fragmentation of holdings and complex field partnerships. The main concepts are building up the heartlands and balancing cashflow forecasts. This has generated a number of friendly win-win deals, motivated by differences in perception of values. The business process includes identifying, evaluating and negotiating deals. The Petroleum Economist plays a central role throughout this process, seeking value gaps and supporting negotiations. Variations in reserves estimates present a major source of value gaps between buyer and seller. Economists need to work closely with engineers and geologists. Portfolio management is an exciting and challenging task which broadens the traditional role of the Petroleum Economist

  9. On portfolio risk diversification

    Science.gov (United States)

    Takada, Hellinton H.; Stern, Julio M.

    2017-06-01

    The first portfolio risk diversification strategy was put into practice by the All Weather fund in 1996. The idea of risk diversification is related to the risk contribution of each available asset class or investment factor to the total portfolio risk. The maximum diversification or the risk parity allocation is achieved when the set of risk contributions is given by a uniform distribution. Meucci (2009) introduced the maximization of the Rényi entropy as part of a leverage constrained optimization problem to achieve such diversified risk contributions when dealing with uncorrelated investment factors. A generalization of the risk parity is the risk budgeting when there is a prior for the distribution of the risk contributions. Our contribution is the generalization of the existent optimization frameworks to be able to solve the risk budgeting problem. In addition, our framework does not possess any leverage constraint.

  10. Hvorfor anvende portfolio eksamen?

    DEFF Research Database (Denmark)

    Elley, Tina Ninka

    2015-01-01

    from the clinical part. The two topics are weighted according to the distribution of ECTS points between theory and clinic. We implemented the portfolio format in November 2012, and the evaluations from the students have shown that the format is good; the students get less stressed at the exam......In Denmark the Biomedical Laboratory Scientist programme lasts for 3½ years, divided into 14 modules of 10 weeks. Every module concludes with an exam, which can be very stressful for the students. A survey was made among the students, confirming this. How can we change some of the exams in order...... to minimize the students' stress level? Then the pedagogical considerations started – where and how to do this? The conclusion was to work with the portfolio format at module 6 and module 7 and make it the exam form, as it was possible to divide the expected learning outcome for the two modules into topics...

  11. Implementation of portfolio theory to the analysis of electricity generation in Mexico

    International Nuclear Information System (INIS)

    Esquivel E, J.; Ramirez S, J. R.; Palacios H, J. C.

    2014-10-01

    As part of the activities of economic analysis to the National Energy Strategy 2013-2027 of Mexico has been developed a computational platform to support decision-making based on the risk and performance in obtaining the optimum combination of technologies involved in the electricity generation. To this end, they consider five technologies: combined cycle, thermal coal, nuclear, hydro and wind. Each technology has been analyzed independently based on the total cost of generation level (given in dl s/KWh or dl s/MWh), leaning on documents as the Poise 2012-2026 and COPAR 2013. Subsequently by portfolio theory proposed by Markowitz, that combination of technologies that provide a greater benefit in the electricity generation is determined. In this study we consider two base work areas on which the proposed portfolios are reflected. The conformation of work areas is derived from the National Energy Strategy 2013-2027, considering a scenario with fossil technologies (combined cycle, thermal coal and nuclear) and other, making greater emphasis on the use of renewable technologies (combined cycle, hydro and wind). Finally, four portfolios are presented, each one with different percentages of ownership of technology in electricity generation, verifying the risk and performance of each combination. Of the analyzed portfolios, one corresponds to the mix of technologies which are currently in the country. The remaining derive the percentage share of combined-cycle technology, by subtracting 10% of their contribution and distributing it in three ways: by increasing the 10% share of nuclear technology; increasing 10% contribution of thermal coal technology and finally, extending the 5% of the electricity generation of nuclear technology and 5% increase in the electricity generation by wind technology. (Author)

  12. Acreage portfolio management

    International Nuclear Information System (INIS)

    Schneider

    1992-01-01

    This paper reports that the need to manage U.K. North Sea acreage portfolios arises from fragmentation of holdings and complex partnerships. This management has generated friendly rationalization deals motivated by differences in perception of values and aimed at building up heartlands and balancing cash-flow forecasts. The business process includes identifying, evaluating, and negotiating deals. The economist plays a central role within the evaluation team and supports the negotiators

  13. Portfolios in Saudi medical colleges

    Science.gov (United States)

    Fida, Nadia M.; Shamim, Muhammad S.

    2016-01-01

    Over recent decades, the use of portfolios in medical education has evolved, and is being applied in undergraduate and postgraduate programs worldwide. Portfolios, as a learning process and method of documenting and assessing learning, is supported as a valuable tool by adult learning theories that stress the need for learners to be self-directed and to engage in experiential learning. Thoughtfully implemented, a portfolio provides learning experiences unequaled by any single learning tool. The credibility (validity) and dependability (reliability) of assessment through portfolios have been questioned owing to its subjective nature; however, methods to safeguard these features have been described in the literature. This paper discusses some of this literature, with particular attention to the role of portfolios in relation to self-reflective learning, provides an overview of current use of portfolios in undergraduate medical education in Saudi Arabia, and proposes research-based guidelines for its implementation and other similar contexts. PMID:26905344

  14. Cluster analysis for portfolio optimization

    OpenAIRE

    Vincenzo Tola; Fabrizio Lillo; Mauro Gallegati; Rosario N. Mantegna

    2005-01-01

    We consider the problem of the statistical uncertainty of the correlation matrix in the optimization of a financial portfolio. We show that the use of clustering algorithms can improve the reliability of the portfolio in terms of the ratio between predicted and realized risk. Bootstrap analysis indicates that this improvement is obtained in a wide range of the parameters N (number of assets) and T (investment horizon). The predicted and realized risk level and the relative portfolio compositi...

  15. Do portfolios have a future?

    Science.gov (United States)

    Driessen, Erik

    2017-03-01

    While portfolios have seen an unprecedented surge in popularity, they have also become the subject of controversy: learners often perceive little gain from writing reflections as part of their portfolios; scholars question the ethics of such obligatory reflection; and students, residents, teachers and scholars alike condemn the bureaucracy surrounding portfolio implementation in competency-based education. It could be argued that mass adoption without careful attention to purpose and format may well jeopardize portfolios' viability in health sciences education. This paper explores this proposition by addressing the following three main questions: (1) Why do portfolios meet with such resistance from students and teachers, while educators love them?; (2) Is it ethical to require students to reflect and then grade their reflections?; (3) Does competency-based education empower or hamper the learner during workplace-based learning? Twenty-five years of portfolio reveal a clear story: without mentoring, portfolios have no future and are nothing short of bureaucratic hurdles in our competency-based education programs. Moreover, comprehensive portfolios, which are integrated into the curriculum and much more diverse in content than reflective portfolios, can serve as meaningful patient charts, providing doctor and patient with useful information to discuss well-being and treatment. In this sense, portfolios are also learner charts that comprehensively document progress in a learning trajectory which is lubricated by meaningful dialogue between learner and mentor in a trusting relationship to foster learning. If we are able to make such comprehensive and meaningful use of portfolios, then, yes, portfolios do have a bright future in medical education.

  16. Project Portfolio Management Applications Testing

    OpenAIRE

    Paul POCATILU

    2006-01-01

    Many IT companies are running project simultaneously. In order to achieve the best results, they have to group to the project in portfolios, and to use specific software that helps to manage them. Project portfolio management applications have a high degree of complexity and they are very important for the companies that are using it. This paper focuses on some characteristics of the testing process for project portfolio management applications

  17. Project Portfolio Management Applications Testing

    Directory of Open Access Journals (Sweden)

    Paul POCATILU

    2006-01-01

    Full Text Available Many IT companies are running project simultaneously. In order to achieve the best results, they have to group to the project in portfolios, and to use specific software that helps to manage them. Project portfolio management applications have a high degree of complexity and they are very important for the companies that are using it. This paper focuses on some characteristics of the testing process for project portfolio management applications

  18. Portfolio insurance using traded options

    OpenAIRE

    Machado-Santos, Carlos

    2001-01-01

    Literature concerning the institutional use of options indicates that the main purpose of option trading is to provide investors with the opportunity to create return distributions previously unavailable, considering that options provide the means to manipulate portfolio returns. In such a context, this study intends to analyse the returns of insured portfolios generated by hedging strategies on underlying stock portfolios. Because dynamic hedging is too expensive, we have hedged the stock po...

  19. Specific patterns in portfolio analysis

    Directory of Open Access Journals (Sweden)

    Gabriela Victoria ANGHELACHE

    2013-11-01

    Full Text Available In the mid-twentieth century, under an unprecedented growth of the business of trading in securities, the need to provide a modern framework for assessing the performance of portfolios of financial instruments was felt. To that effect, it is noted that over this period, more and more economists have attempted to develop statistical mathematical models that ensure the evaluation of profitability and portfolio risk securities. These models are considered to be part of "the modern portfolio theory".

  20. CERN Library and Art@CMS present Artist and Painter Xavier Cortada and CMS Physicist Pete Markowitz

    CERN Document Server

    CERN Library

    2013-01-01

    Xavier Cortada is an American artist and painter, and an artist in residence at Florida International University (FIU) College of Architecture and the Arts who also specializes in participatory art projects. His work includes art installations at the Earth’s poles to generate awareness about climate change, child welfare murals in Bolivia and peace murals in Cyprus. Xavier will be in conversation with CMS physicist Pete Markowitz, also from FIU, to discuss the participatory art piece which they developed together. The piece will be showcased in the CMS detector hall on Thursday 11 April during the experiment’s conference week. The piece promises to "engage 300 scientists from around the world in a performance art piece that transforms them into the very subatomic particles they research". It is the first piece by Art@CMS, a new project inspired by the Arts@CERN programme. Discover more about how this new piece was developed and more about Xavier’s ...

  1. Financial Advice and Individual Investor Portfolio Performance

    NARCIS (Netherlands)

    Kramer, M.M.

    2012-01-01

    This paper investigates whether financial advisers add value to individual investors portfolio decisions by comparing portfolios of advised and self-directed (execution-only) Dutch individual investors. The results indicate significant differences in characteristics and portfolios between these

  2. A fuzzy compromise programming approach for the Black-Litterman portfolio selection model

    Directory of Open Access Journals (Sweden)

    Mohsen Gharakhani

    2013-01-01

    Full Text Available In this paper, we examine advanced optimization approach for portfolio problem introduced by Black and Litterman to consider the shortcomings of Markowitz standard Mean-Variance optimization. Black and Litterman propose a new approach to estimate asset return. They present a way to incorporate the investor’s views into asset pricing process. Since the investor’s view about future asset return is always subjective and imprecise, we can represent it by using fuzzy numbers and the resulting model is multi-objective linear programming. Therefore, the proposed model is analyzed through fuzzy compromise programming approach using appropriate membership function. For this purpose, we introduce the fuzzy ideal solution concept based on investor preference and indifference relationships using canonical representation of proposed fuzzy numbers by means of their correspondingα-cuts. A real world numerical example is presented in which MSCI (Morgan Stanley Capital International Index is chosen as the target index. The results are reported for a portfolio consisting of the six national indices. The performance of the proposed models is compared using several financial criteria.

  3. Linear and nonlinear market correlations: Characterizing financial crises and portfolio optimization

    Science.gov (United States)

    Haluszczynski, Alexander; Laut, Ingo; Modest, Heike; Räth, Christoph

    2017-12-01

    Pearson correlation and mutual information-based complex networks of the day-to-day returns of U.S. S&P500 stocks between 1985 and 2015 have been constructed to investigate the mutual dependencies of the stocks and their nature. We show that both networks detect qualitative differences especially during (recent) turbulent market periods, thus indicating strongly fluctuating interconnections between the stocks of different companies in changing economic environments. A measure for the strength of nonlinear dependencies is derived using surrogate data and leads to interesting observations during periods of financial market crises. In contrast to the expectation that dependencies reduce mainly to linear correlations during crises, we show that (at least in the 2008 crisis) nonlinear effects are significantly increasing. It turns out that the concept of centrality within a network could potentially be used as some kind of an early warning indicator for abnormal market behavior as we demonstrate with the example of the 2008 subprime mortgage crisis. Finally, we apply a Markowitz mean variance portfolio optimization and integrate the measure of nonlinear dependencies to scale the investment exposure. This leads to significant outperformance as compared to a fully invested portfolio.

  4. Portfolio langagier en francais (Language Portfolios in French).

    Science.gov (United States)

    Laplante, Bernard; Christiansen, Helen

    2001-01-01

    Suggests that first-year college students learning French should create a language portfolio that contains documents that illustrate what they have learned in French, along with a brief statement of what linguistic skill the document demonstrates. The goal of the portfolio is to make students more aware of their own learning, their strengths, and…

  5. Not all that glitters is RMT in the forecasting of risk of portfolios in the Brazilian stock market

    Science.gov (United States)

    Sandoval, Leonidas; Bortoluzzo, Adriana Bruscato; Venezuela, Maria Kelly

    2014-09-01

    Using stocks of the Brazilian stock exchange (BM&F-Bovespa), we build portfolios of stocks based on Markowitz's theory and test the predicted and realized risks. This is done using the correlation matrices between stocks, and also using Random Matrix Theory in order to clean such correlation matrices from noise. We also calculate correlation matrices using a regression model in order to remove the effect of common market movements and their cleaned versions using Random Matrix Theory. This is done for years of both low and high volatility of the Brazilian stock market, from 2004 to 2012. The results show that the use of regression to subtract the market effect on returns greatly increases the accuracy of the prediction of risk, and that, although the cleaning of the correlation matrix often leads to portfolios that better predict risks, in periods of high volatility of the market this procedure may fail to do so. The results may be used in the assessment of the true risks when one builds a portfolio of stocks during periods of crisis.

  6. Emergence of Commodity Derivatives as Defensive Instrument in Portfolio Risk Hedging: A Case of Indian Commodity Markets

    Directory of Open Access Journals (Sweden)

    Singhal Shelly

    2017-04-01

    Full Text Available This paper empirically examines whether commodity derivatives can be used as an alternative investment asset in India where commodity markets are at emerging state and provides the same diversification benefit as they provide in developed commodity markets. In India only commodity futures are prevalent so various commodity indices representing various sectors has been used in the study. Diversification aspect of commodity derivatives has been tested initially by using correlation analysis. Compounded Daily Growth rate and Relative Standard deviation has been used as a measure of calculating risk and return of daily data of SENSEX, BOND and four Commodity Indices (MCX Comdex, MCX AGRI, MCX Metal, MCX Energy. Markowitz Efficient Frontier theory has been used to calculate portfolio risk return and Sharpe risk adjusted ratio has been used to evaluate the various portfolios. Optimal portfolio has been obtained for the combination of equity, bond and commodity and overall results of the study indicate that an investor who is risk averse will prefer to invest in combination of SENSEX, BOND & MCX Energy whereas an investor who gets utility by taking more risk for more returns will prefer to invest in combination of SENSEX, BOND & MCX Metal. Investor having inclination towards moderate risk return would tend to invest in MCX AGRI along with SENSEX and BOND.

  7. UK Household Portfolios

    OpenAIRE

    Banks, James; Smith, Sarah

    2000-01-01

    This paper presents a detailed analysis of the composition of household portfolios, using both aggregate and micro-data. Among the key findings are that: Most household wealth is held in the form of housing and pensions. Over time, there has been a shift away from housing towards financial assets, driven largely by the growth in life and pension funds. Liquid financial wealth (excluding life and pension funds) is not predominantly held in risky form. By far the most commonly held asset is an ...

  8. IT Portfolio Management

    DEFF Research Database (Denmark)

    Hansen, Lars Kristian; Kræmmergaard, Pernille

    2012-01-01

    As public organizations increasingly rely on IT-enabled development to provide faster cycle times and better services, IT Project Portfolio Management (IT PPM) has become a high priority issue. This research adopts engaged scholarship to investigate IT PPM practices within a large local government...... information about internal recourses, (4) Lack of operational goals to hold IT projects accountable, (5) No account of actual IT project costs. These results may be used to inform further research into IT PPM and to help managers improve IT PPM practices in public organizations in their effort of increase...

  9. Portfolios of quantum algorithms.

    Science.gov (United States)

    Maurer, S M; Hogg, T; Huberman, B A

    2001-12-17

    Quantum computation holds promise for the solution of many intractable problems. However, since many quantum algorithms are stochastic in nature they can find the solution of hard problems only probabilistically. Thus the efficiency of the algorithms has to be characterized by both the expected time to completion and the associated variance. In order to minimize both the running time and its uncertainty, we show that portfolios of quantum algorithms analogous to those of finance can outperform single algorithms when applied to the NP-complete problems such as 3-satisfiability.

  10. Æstetik og portfolio

    DEFF Research Database (Denmark)

    Hyldahl, Kirsten Kofod; Sams, Pernille; Egelund, Karen Stine

    2017-01-01

    Nærværende artikel præsenterer resultaterne af udviklingsprojektet ”Portfolio og æstetik” på pædagoguddannelsen i Hjørring. Projektet har til formål, gennem æstetisk formsprog, at stilladsere og fastholde de studerendes læreprocesser samt udvikle og implementere portfolio i studieaktiviteter på...

  11. Big Data Challenges of High-Dimensional Continuous-Time Mean-Variance Portfolio Selection and a Remedy.

    Science.gov (United States)

    Chiu, Mei Choi; Pun, Chi Seng; Wong, Hoi Ying

    2017-08-01

    Investors interested in the global financial market must analyze financial securities internationally. Making an optimal global investment decision involves processing a huge amount of data for a high-dimensional portfolio. This article investigates the big data challenges of two mean-variance optimal portfolios: continuous-time precommitment and constant-rebalancing strategies. We show that both optimized portfolios implemented with the traditional sample estimates converge to the worst performing portfolio when the portfolio size becomes large. The crux of the problem is the estimation error accumulated from the huge dimension of stock data. We then propose a linear programming optimal (LPO) portfolio framework, which applies a constrained ℓ 1 minimization to the theoretical optimal control to mitigate the risk associated with the dimensionality issue. The resulting portfolio becomes a sparse portfolio that selects stocks with a data-driven procedure and hence offers a stable mean-variance portfolio in practice. When the number of observations becomes large, the LPO portfolio converges to the oracle optimal portfolio, which is free of estimation error, even though the number of stocks grows faster than the number of observations. Our numerical and empirical studies demonstrate the superiority of the proposed approach. © 2017 Society for Risk Analysis.

  12. An unbalanced portfolio.

    Science.gov (United States)

    Federsel, Hans-Jurgen

    2009-06-01

    An excellent demonstration of how meaningful and valuable conferences devoted to the topic of project and portfolio management in the pharmaceutical industry can be, was given at an event organized in Barcelona, September 2008. Thus, over this 2-day meeting the delegates were updated on the state of the art in this wide-reaching area from speakers representing an array of companies; from small, relatively new players, via mid-sized, to established large and big pharmas. One common theme that emerged was the importance of assessing the value of drug projects as correctly as possible, especially under the current financial climate and the many challenges facing the industry. Furthermore, experiences from constructing portfolios with the aim to minimize risk and maximize return on investment were shared alongside mathematical approaches to obtain the data required for this purpose and accounts of the pleasures and hardships working in a global context and in partnership constellations. Copyright 2009 Prous Science, S.A.U. or its licensors. All rights reserved.

  13. 12 CFR 347.108 - Portfolio investments.

    Science.gov (United States)

    2010-01-01

    ... 12 Banks and Banking 4 2010-01-01 2010-01-01 false Portfolio investments. 347.108 Section 347.108... INTERNATIONAL BANKING § 347.108 Portfolio investments. (a) Portfolio investments. If a bank, directly or indirectly, acquires or holds an equity interest in a foreign organization as a portfolio investment and the...

  14. Portfolio optimization and performance evaluation

    DEFF Research Database (Denmark)

    Juhl, Hans Jørn; Christensen, Michael

    2013-01-01

    Based on an exclusive business-to-business database comprising nearly 1,000 customers, the applicability of portfolio analysis is documented, and it is examined how such an optimization analysis can be used to explore the growth potential of a company. As opposed to any previous analyses, optimal...... customer portfolios are determined, and it is shown how marketing decision-makers can use this information in their marketing strategies to optimize the revenue growth of the company. Finally, our analysis is the first analysis which applies portfolio based methods to measure customer performance......, and it is shown how these performance measures complement the optimization analysis....

  15. Portfolio i Praksis

    DEFF Research Database (Denmark)

    Saltofte, Margit; Krill, Cecilia

    . Præsentationsfolien fokuserer på at præsentere et færdigt produkt eller resultat, mens arbejdsportfolien har fokus på proces, refleksion og læring. Til denne forskel knytter sig desuden helt naturligt en sondring imellem det delte og det private. Hvor præsentationsportfolio per definition er åben og har en modtager i...... sigte, er arbejdsportfolien i udgangspunktet lukket og privat. Det vil sige at man selv udvælger, hvad der skal ses af fx vejleder eller medstuderende – og hvad, der skal forblive privat. Portfolio i Praksis tilbyder desuden en række håndgribelige øvelser, der kan bruges som hjælp til at understøtte det...

  16. IT Portfolio Management

    DEFF Research Database (Denmark)

    Hansen, Lars Kristian; Kræmmergaard, Pernille

    2012-01-01

    information about internal recourses, (4) Lack of operational goals to hold IT projects accountable, (5) No account of actual IT project costs. These results may be used to inform further research into IT PPM and to help managers improve IT PPM practices in public organizations in their effort of increase......As public organizations increasingly rely on IT-enabled development to provide faster cycle times and better services, IT Project Portfolio Management (IT PPM) has become a high priority issue. This research adopts engaged scholarship to investigate IT PPM practices within a large local government...... on the theory’s distinction between different modes of control five problems in control is identified: (1) weak accountability processes between the political and the administrative level, (2) weak accountability processes between director level and the IT executives, (3) IT projects established on incomplete...

  17. AREVA's nuclear reactors portfolio

    International Nuclear Information System (INIS)

    Marincic, A.

    2009-01-01

    A reasonable assumption for the estimated new build market for the next 25 years is over 340 GWe net. The number of prospect countries is growing almost each day. To address this new build market, AREVA is developing a comprehensive portfolio of reactors intended to meet a wide range of power requirements and of technology choices. The EPR reactor is the flagship of the fleet. Intended for large power requirements, the four first EPRs are being built in Finland, France and China. Other countries and customers are in view, citing just two examples: the Usa where the U.S. EPR has been selected as the technology of choice by several U.S utilities; and the United Kingdom where the Generic Design Acceptance process of the EPR design submitted by AREVA and EDF is well under way, and where there is a strong will to have a plant on line in 2017. For medium power ranges, the AREVA portfolio includes a boiling water reactor and a pressurized water reactor which both offer all of the advantages of an advanced plant design, with excellent safety performance and competitive power generation cost: -) KERENA (1250+ MWe), developed in collaboration with several European utilities, and in particular with Eon; -) ATMEA 1 (1100+ MWe), a 3-loop evolutionary PWR which is being developed by AREVA and Mitsubishi. AREVA is also preparing the future and is deeply involved into Gen IV concepts. It has developed the ANTARES modular HTR reactor (pre-conceptual design completed) and is building upon its vast Sodium Fast Reactor experience to take part into the development of the next prototype. (author)

  18. A Mean variance analysis of arbitrage portfolios

    Science.gov (United States)

    Fang, Shuhong

    2007-03-01

    Based on the careful analysis of the definition of arbitrage portfolio and its return, the author presents a mean-variance analysis of the return of arbitrage portfolios, which implies that Korkie and Turtle's results ( B. Korkie, H.J. Turtle, A mean-variance analysis of self-financing portfolios, Manage. Sci. 48 (2002) 427-443) are misleading. A practical example is given to show the difference between the arbitrage portfolio frontier and the usual portfolio frontier.

  19. 78 FR 21045 - Confirmation, Portfolio Reconciliation, Portfolio Compression, and Swap Trading Relationship...

    Science.gov (United States)

    2013-04-09

    ... COMMODITY FUTURES TRADING COMMISSION 17 CFR Part 23 RIN 3038-AC96 Confirmation, Portfolio Reconciliation, Portfolio Compression, and Swap Trading Relationship Documentation Requirements for Swap Dealers... CFTC published final rules setting forth requirements for swap confirmation, portfolio reconciliation...

  20. Optimal Portfolios in Wishart Models and Effects of Discrete Rebalancing on Portfolio Distribution and Strategy Selection

    OpenAIRE

    Li, Zejing

    2012-01-01

    This dissertation is mainly devoted to the research of two problems - the continuous-time portfolio optimization in different Wishart models and the effects of discrete rebalancing on portfolio wealth distribution and optimal portfolio strategy.

  1. Essays on Rational Portfolio Theory

    DEFF Research Database (Denmark)

    Nielsen, Simon Ellersgaard

    market prices, we findonly a very modest improvement in portfolio wealth over the corresponding strategy whichonly trades in bonds and stocks. Optimal Hedge Tracking Portfolios in a Limit Order Book. In this paper we developa control theoretic solution to the manner in which a portfolio manager optimally...... shouldtrack a targeted D, given that he wishes to hedge a short position in European call optionsthe underlying of which is traded in a limit order book. Specifically, we are interested in theinterplay between posting limit and market orders respectively: when should the portfoliomanager do what (and at what......’s theory of optimal portfolio selection for wealth maximisingagents. In this paper we present a systematic analysis of the optimal asset allocation in aderivative-free market for the Heston model, the 3/2 model, and a Fong Vasicek type model.Under the assumption that the market price of risk...

  2. Robust Portfolio Optimization Using Pseudodistances.

    Science.gov (United States)

    Toma, Aida; Leoni-Aubin, Samuela

    2015-01-01

    The presence of outliers in financial asset returns is a frequently occurring phenomenon which may lead to unreliable mean-variance optimized portfolios. This fact is due to the unbounded influence that outliers can have on the mean returns and covariance estimators that are inputs in the optimization procedure. In this paper we present robust estimators of mean and covariance matrix obtained by minimizing an empirical version of a pseudodistance between the assumed model and the true model underlying the data. We prove and discuss theoretical properties of these estimators, such as affine equivariance, B-robustness, asymptotic normality and asymptotic relative efficiency. These estimators can be easily used in place of the classical estimators, thereby providing robust optimized portfolios. A Monte Carlo simulation study and applications to real data show the advantages of the proposed approach. We study both in-sample and out-of-sample performance of the proposed robust portfolios comparing them with some other portfolios known in literature.

  3. Information Acquisition and Portfolio Performance

    OpenAIRE

    Guiso, Luigi; Jappelli, Tullio

    2006-01-01

    Rational investors perceive correctly the value of financial information. Investment in information is therefore rewarded with a higher Sharpe ratio. Overconfident investors overstate the quality of their own information, and thus attain a lower Sharpe ratio. We contrast the implications of the two models using a unique survey of customers of an Italian leading bank with portfolio data and measures of financial information. We find that the portfolio Sharpe ratio is negatively associated with...

  4. Universal portfolios generated by the Bregman divergence

    Science.gov (United States)

    Tan, Choon Peng; Kuang, Kee Seng

    2017-04-01

    The Bregman divergence of two probability vectors is a stronger form of the f-divergence introduced by Csiszar. Two versions of the Bregman universal portfolio are presented by exploiting the mean-value theorem. The explicit form of the Bregman universal portfolio generated by a function of a convex polynomial is derived and studied empirically. This portfolio can be regarded as another generalized of the well-known Helmbold portfolio. By running the portfolios on selected stock-price data sets from the local stock exchange, it is shown that it is possible to increase the wealth of the investor by using the portfolios in investment.

  5. Portfolio theory in the selection of oil investment projects Teoria de carteiras na seleção de projetos de investimento em petróleo

    Directory of Open Access Journals (Sweden)

    Jalimar Guimarães Simplício

    2012-01-01

    Full Text Available The objective of this article is to compare investment project selection using the efficient frontier in the mean-variance space based on optimization models introduced by Markowitz (1952 with the project ranking method according to the profitability index (PI. The selection of real assets by companies did not incorporate the mean-variance optimization procedure in the same way the selection of financial assets in investment portfolios did. The process of selection and formation of portfolios of investment projects for the oil area of a company in the energy industry was analyzed. Project portfolios formed according to the usual company practice of ranking by their PI were compared with those that result from applying mean-variance optimization through Monte Carlo simulation, which allows the computation of mean returns, variances, and covariances for the set of projects considered. The inefficiency of project portfolios obtained by ranking according to the PI compared to those obtained by the method of Markowitz suggests that there are opportunities to improve the process of selecting the set of projects to be implemented by companies.O objetivo deste artigo é comparar a seleção de projetos de investimento segundo a fronteira eficiente no espaço média-variância com base em modelos de otimização introduzidos por Markowitz (1952 com o método do ordenamento de projetos segundo o índice de lucratividade (IL. A seleção de ativos reais pelas empresas não incorporou o procedimento de otimização de média-variância da mesma forma que na seleção de ativos financeiros para carteiras de investimento. O processo de seleção e formação de carteiras de projetos de investimento pela área de petróleo de uma empresa do setor de energia foi analisado. Carteiras de projetos constituídas de acordo com a prática usual da empresa de ordenamento pelo IL foram comparadas com as que resultariam da aplicação da otimização de m

  6. The impact of liberalization on the scope of efficiency improvement in electricity-generating portfolios for the United States and Switzerland

    Energy Technology Data Exchange (ETDEWEB)

    Krey, B.; Zweifel, P. [Socioeconomic Institute, Zurich (Switzerland)

    2008-09-15

    In this study, Markowitz mean-variance portfolio theory is applied to electricity-generating technologies of the United States and Switzerland. Both an investor (focused on changes in return) and a current user (focused on return in levels) view are adopted to determine efficient frontiers of electricity generation technologies in terms of expected return and risk as of 2003. Since shocks in generation costs per kWh (the inverse of returns) are correlated, Seemingly Unrelated Regression Estimation (SURE) is used to filter out the systematic components of the covariance matrix. Results suggest that risk-averse investors and risk-neutral current users in the United States are considerably closer to their efficiency frontier than their Swiss counterparts. This may be due to earlier and more thorough deregulation of electricity markets in the United States. (orig.)

  7. 77 FR 55903 - Confirmation, Portfolio Reconciliation, Portfolio Compression, and Swap Trading Relationship...

    Science.gov (United States)

    2012-09-11

    ... Vol. 77 Tuesday, No. 176 September 11, 2012 Part II Commodity Futures Trading Commission 17 CFR Part 23 Confirmation, Portfolio Reconciliation, Portfolio Compression, and Swap Trading Relationship... FUTURES TRADING COMMISSION 17 CFR Part 23 RIN 3038-AC96 Confirmation, Portfolio Reconciliation, Portfolio...

  8. Portfolio optimization with mean-variance model

    Science.gov (United States)

    Hoe, Lam Weng; Siew, Lam Weng

    2016-06-01

    Investors wish to achieve the target rate of return at the minimum level of risk in their investment. Portfolio optimization is an investment strategy that can be used to minimize the portfolio risk and can achieve the target rate of return. The mean-variance model has been proposed in portfolio optimization. The mean-variance model is an optimization model that aims to minimize the portfolio risk which is the portfolio variance. The objective of this study is to construct the optimal portfolio using the mean-variance model. The data of this study consists of weekly returns of 20 component stocks of FTSE Bursa Malaysia Kuala Lumpur Composite Index (FBMKLCI). The results of this study show that the portfolio composition of the stocks is different. Moreover, investors can get the return at minimum level of risk with the constructed optimal mean-variance portfolio.

  9. Sygeplejestuderendes brug af portfolio i klinisk undervisning

    DEFF Research Database (Denmark)

    Hjorth, Anne Charlotte Overgaard; Bruhn, Helle

    2014-01-01

    Brugen af portfolio var mangelfuld, men et udviklingsprojekt i samarbejde med den kommunale sygepleje motiverede både sygeplejestuderende og kliniske vejledere til at anvende læringsdelen af portfolio aktivt.......Brugen af portfolio var mangelfuld, men et udviklingsprojekt i samarbejde med den kommunale sygepleje motiverede både sygeplejestuderende og kliniske vejledere til at anvende læringsdelen af portfolio aktivt....

  10. Feature selection for portfolio optimization

    DEFF Research Database (Denmark)

    Bjerring, Thomas Trier; Ross, Omri; Weissensteiner, Alex

    2016-01-01

    Most portfolio selection rules based on the sample mean and covariance matrix perform poorly out-of-sample. Moreover, there is a growing body of evidence that such optimization rules are not able to beat simple rules of thumb, such as 1/N. Parameter uncertainty has been identified as one major....... While most of the diversification benefits are preserved, the parameter estimation problem is alleviated. We conduct out-of-sample back-tests to show that in most cases different well-established portfolio selection rules applied on the reduced asset universe are able to improve alpha relative...

  11. Managing the New Product Portfolio

    DEFF Research Database (Denmark)

    Larsson, Flemming

    2008-01-01

    Product development companies are increasingly confronted with an unforgiving global marketplace, which urges the top management to pursue every product development opportunity that appears on the road. This situation incurs an important question: Which product development opportunities should a ....... The contributions encourage an improved understanding of the portfolio management concept and support industry professionals in their efforts to compose and continuously maintain a commercially strong product development portfolio.......Product development companies are increasingly confronted with an unforgiving global marketplace, which urges the top management to pursue every product development opportunity that appears on the road. This situation incurs an important question: Which product development opportunities should...

  12. Portfolios and the market geometry

    Science.gov (United States)

    Eleutério, Samuel; Araújo, Tanya; Vilela Mendes, R.

    2014-09-01

    A geometric analysis of return time series, performed in the past, implied that most of the systematic information in the market is contained in a space of small dimension. Here we have explored subspaces of this space to find out the relative performance of portfolios formed from companies that have the largest projections in each one of the subspaces. As expected, it was found that the best performance portfolios are associated with some of the small eigenvalue subspaces and not to the dominant dimensions. This is found to occur in a systematic fashion over an extended period (1990-2008).

  13. Application of Project Portfolio Management

    Science.gov (United States)

    Pankowska, Malgorzata

    The main goal of the chapter is the presentation of the application project portfolio management approach to support development of e-Municipality and public administration information systems. The models of how people publish and utilize information on the web have been transformed continually. Instead of simply viewing on static web pages, users publish their own content through blogs and photo- and video-sharing slides. Analysed in this chapter, ICT (Information Communication Technology) projects for municipalities cover the mixture of the static web pages, e-Government information systems, and Wikis. So, for the management of the ICT projects' mixtures the portfolio project management approach is proposed.

  14. Purchasing portfolio usage and purchasing sophistication

    NARCIS (Netherlands)

    Gelderman, C.J.; Weele, van A.J.

    2005-01-01

    Purchasing portfolio models have caused considerable controversy in literature. Many advantages and disadvantages have been put forward, revealing a strong disagreement on the merits of portfolio models. This study addresses the question whether or not the use of purchasing portfolio models should

  15. Hierarchical Portfolio Management: Theory and Applications

    NARCIS (Netherlands)

    H. Ning (Haikun)

    2007-01-01

    textabstractUnder his own preference, how should an investor coordinate the asset managers such that his aggregated portfolio is optimized? The efficiency of each managed sub portfolio and the aggregation of all the sub portfolios are the 2 main underlying problems considered in this dissertation.

  16. Using Electronic Portfolios for Second Language Assessment

    Science.gov (United States)

    Cummins, Patricia W.; Davesne, Celine

    2009-01-01

    Portfolio assessment as developed in Europe presents a learner-empowering alternative to computer-based testing. The authors present the European Language Portfolio (ELP) and its American adaptations, LinguaFolio and the Global Language Portfolio, as tools to be used with the Common European Framework of Reference for languages and the American…

  17. Household portfolios and implicit risk aversion

    NARCIS (Netherlands)

    Bucciol, A.; Miniaci, R.

    2008-01-01

    We derive from a sample of US households the distribution of the risk aversion implicit in their portfolio choice. Our estimate minimizes the distance between the certainty equivalent return generated with observed portfolios and portfolios that are optimal in a mean-variance framework. Taking into

  18. Quantitative investment strategies and portfolio management

    NARCIS (Netherlands)

    Guo, J.

    2012-01-01

    This book contains three essays on alternative investments and portfolio management. Taking from a portfolio investor’s perspective, the first essay analyzes the portfolio implication of investing in hedge funds when there is a hedge fund lockup period. The second essay studies the investment

  19. Formal Method of Description Supporting Portfolio Assessment

    Science.gov (United States)

    Morimoto, Yasuhiko; Ueno, Maomi; Kikukawa, Isao; Yokoyama, Setsuo; Miyadera, Youzou

    2006-01-01

    Teachers need to assess learner portfolios in the field of education. However, they need support in the process of designing and practicing what kind of portfolios are to be assessed. To solve the problem, a formal method of describing the relations between the lesson forms and portfolios that need to be collected and the relations between…

  20. The Impact of Transaction Costs on Rebalancing an Investment Portfolio in Portfolio Optimization

    OpenAIRE

    B. Marasović; S. Pivac; S. V. Vukasović

    2015-01-01

    Constructing a portfolio of investments is one of the most significant financial decisions facing individuals and institutions. In accordance with the modern portfolio theory maximization of return at minimal risk should be the investment goal of any successful investor. In addition, the costs incurred when setting up a new portfolio or rebalancing an existing portfolio must be included in any realistic analysis. In this paper rebalancing an investment portfolio in the pr...

  1. Delegated Portfolio Management and Optimal Allocation of Portfolio Managers

    DEFF Research Database (Denmark)

    Christensen, Michael; Vangsgaard Christensen, Michael; Gamskjaer, Ken

    2015-01-01

    In this article, we investigate whether the application of the mean-variance framework on portfolio manager allocation offers any out-of-sample benefits compared to a naïve strategy of equal weighting. Based on an exclusive data-set of high-net-worth (HNW) investors, we utilize a wide variety of ...

  2. Extension of portfolio theory application to energy planning problem – The Italian case

    International Nuclear Information System (INIS)

    Arnesano, M.; Carlucci, A.P.; Laforgia, D.

    2012-01-01

    Energy procurement is a necessity which needs a deep study of both the demand and the generation sources, referred to consumers territorial localization. The study presented in this paper extends and consolidate the Shimon Awerbuch’s study on portfolio theory applied to the energy planning, in order to define a broad generating mix which optimizes one or more objective functions defined for a determined contest. For this purpose the computation model was specialized in energy generation problem and extended with the addition of new cost-risk settings, like renewable energy availability, and Black–Litterman model, which extends Markowitz theory. Energy planning was then contextualized to the territory: the introduction of geographic and climatic features allows to plan energy infrastructures on both global and local (regional, provincial, municipal) scale. The result is an efficient decision making tool to drive the investment on typical energy policy assets. In general the tool allows to analyze several scenarios in support of renewable energy sources, environmental sustainability, costs and risks reduction. In this paper the model was applied to the energy generation in Italy, and the analysis was done: on the actual energy mix; assuming the use of nuclear technology; assuming the verisimilar improvement of several technologies in the future. -- Highlights: ► Extension and consolidation of Shimon Awerbuch’s studies. ► Introduction of aspects connected to realization and utilization of power plants. ► Application of the model on a national, provincial, municipal scale. ► Modification of Energy Portfolio based on subjective previsions (Black–Litterman).

  3. A Relationship Strategy Perspective on Relationship Portfolios

    DEFF Research Database (Denmark)

    Ritter, Thomas; Andersen, Henrik

    2014-01-01

    The paper develops a three-dimensional portfolio model for business relationships which distinguishes among six different categories. Based on assessments of customer profitability, customer commitment, and growth potential, the positioning of a given customer relationship in the portfolio allows...... managers to determine appropriate customer relationship strategies and appropriate performance indicators. Results from applying the portfolio model are reported and managerial implications and future research are discussed.......The paper develops a three-dimensional portfolio model for business relationships which distinguishes among six different categories. Based on assessments of customer profitability, customer commitment, and growth potential, the positioning of a given customer relationship in the portfolio allows...

  4. Performance of the reverse Helmbold universal portfolio

    Science.gov (United States)

    Tan, Choon Peng; Kuang, Kee Seng; Lee, Yap Jia

    2017-04-01

    The universal portfolio is an important investment strategy in a stock market where no stochastic model is assumed for the stock prices. The zero-gradient set of the objective function estimating the next-day portfolio which contains the reverse Kullback-Leibler order-alpha divergence is considered. From the zero-gradient set, the explicit, reverse Helmbold universal portfolio is obtained. The performance of the explicit, reverse Helmbold universal portfolio is studied by running them on some stock-price data sets from the local stock exchange. It is possible to increase the wealth of the investor by using these portfolios in investment.

  5. Portfolios: A Vehicle for Inquiry.

    Science.gov (United States)

    McMackin, Mary C.

    By blending elements of inquiry with the components of portfolios, learning and thinking in teacher preparation courses can be extended and possible tensions between "covering content" and allowing "open-ended investigation" can be mitigated. Over the years, the author mused about how she might nudge graduate students in her…

  6. Dynamic Portfolio Choice with Frictions

    DEFF Research Database (Denmark)

    Garleanu, Nicolae; Heje Pedersen, Lasse

    2016-01-01

    We show how portfolio choice can be modeled in continuous time with transitory and persistent transaction costs, multiple assets, multiple signals predicting returns, and general signal dynamics. The objective function is derived from the limit of discrete-time models with endogenous transaction...

  7. Teaching Sociology through Student Portfolios

    Science.gov (United States)

    Trepagnier, Barbara

    2004-01-01

    After several years of teaching Sociological Thought--an upper division course that focuses on classical, modern, and contemporary sociological theories--the author came across the idea of student portfolios. As a consequence, the course has undergone far-reaching changes. The content remains relatively intact; however, today the theory course…

  8. Adaptation portfolios in water management

    NARCIS (Netherlands)

    Aerts, J.C.J.H.; Botzen, W.J.W.; Werners, S.

    2015-01-01

    This study explores how Modern Portfolio Theory (MPT) can guide investment decisions in integrated water resources management (IWRM) and climate change adaptation under uncertainty. The objectives of the paper are to: (i) explain the concept of diversification to reduce risk, as formulated in MPT;

  9. [New portfolio, a users' manual].

    Science.gov (United States)

    Cougnoux, Nadège; Deken, Éric; Juif, Isabelle; Papas, Anne

    2015-10-01

    The portfolio, a tool for monitoring nursing students throughout their internship period, has now been modified. The new 2015 version can be used to monitor and trace the student's career as well as progress made. One of the major new points is the integration of an intermediate internship assessment. Copyright © 2015 Elsevier Masson SAS. All rights reserved.

  10. Robust Portfolio Optimization Using Pseudodistances

    Science.gov (United States)

    2015-01-01

    The presence of outliers in financial asset returns is a frequently occurring phenomenon which may lead to unreliable mean-variance optimized portfolios. This fact is due to the unbounded influence that outliers can have on the mean returns and covariance estimators that are inputs in the optimization procedure. In this paper we present robust estimators of mean and covariance matrix obtained by minimizing an empirical version of a pseudodistance between the assumed model and the true model underlying the data. We prove and discuss theoretical properties of these estimators, such as affine equivariance, B-robustness, asymptotic normality and asymptotic relative efficiency. These estimators can be easily used in place of the classical estimators, thereby providing robust optimized portfolios. A Monte Carlo simulation study and applications to real data show the advantages of the proposed approach. We study both in-sample and out-of-sample performance of the proposed robust portfolios comparing them with some other portfolios known in literature. PMID:26468948

  11. Portfolio selection with heavy tails

    NARCIS (Netherlands)

    Hyung, N.; Vries, de C.G.

    2007-01-01

    Consider the portfolio problem of choosing the mix between stocks and bonds under a downside risk constraint. Typically stock returns exhibit fatter tails than bonds corresponding to their greater downside risk. Downside risk criteria like the safety first criterion therefore often select corner

  12. Portfolio Selection with Heavy Tails

    NARCIS (Netherlands)

    N. Hyung (Namwon); C.G. de Vries (Casper)

    2004-01-01

    textabstractConsider the portfolio problem of choosing the mix between stocks and bonds under a downside risk constraint. Typically stock returns exhibit fatter tails than bonds corresponding to their greater downside risk. Downside risk criteria like the safety first criterion therefore of ten

  13. Does health affect portfolio choice?

    Science.gov (United States)

    Love, David A; Smith, Paul A

    2010-12-01

    A number of recent studies find that poor health is empirically associated with a safer portfolio allocation. It is difficult to say, however, whether this relationship is truly causal. Both health status and portfolio choice are influenced by unobserved characteristics such as risk attitudes, impatience, information, and motivation, and these unobserved factors, if not adequately controlled for, can induce significant bias in the estimates of asset demand equations. Using the 1992-2006 waves of the Health and Retirement Study, we investigate how much of the connection between health and portfolio choice is causal and how much is due to the effects of unobserved heterogeneity. Accounting for unobserved heterogeneity with fixed effects and correlated random effects models, we find that health does not appear to significantly affect portfolio choice among single households. For married households, we find a small effect (about 2-3 percentage points) from being in the lowest of five self-reported health categories. Copyright © 2009 John Wiley & Sons, Ltd.

  14. Supply contract and portfolio insurance

    Science.gov (United States)

    Runsheng Yin; Bob Izlar

    2001-01-01

    The long-term growth of institutional timberland investments depends on the ability of timberland investment management organizations (TIMO) to deal effectively with securitization, leveraging, arbitraging, supply contracting, portfolio insurance, tax efficiency enhancement, and other issues. Financial engineering holds great promise for many of these issues. This...

  15. Turnover activity in wealth portfolios

    NARCIS (Netherlands)

    Castaldi, C.; Milakovic, M.

    2007-01-01

    We examine several subsets of the wealthiest individuals in the US and the UK that are compiled by Forbes Magazine and the Sunday Times. Since these are named subsets, we can calculate the returns to wealth portfolios, and calibrate a statistical equilibrium model of wealth distribution that

  16. Turnover activity in wealth portfolios

    NARCIS (Netherlands)

    Castaldi, Carolina; Milakovic, Mishael

    We examine several subsets of the wealthiest individuals in the US and the UK that are compiled by Forbes Magazine and the Sunday Times. Since these are named subsets, we can calculate the returns to wealth portfolios, and calibrate a statistical equilibrium model of wealth distribution that

  17. HEURISTIC APPROACHES FOR PORTFOLIO OPTIMIZATION

    OpenAIRE

    Manfred Gilli, Evis Kellezi

    2000-01-01

    The paper first compares the use of optimization heuristics to the classical optimization techniques for the selection of optimal portfolios. Second, the heuristic approach is applied to problems other than those in the standard mean-variance framework where the classical optimization fails.

  18. Optimal Portfolio Choice with Annuitization

    NARCIS (Netherlands)

    Koijen, R.S.J.; Nijman, T.E.; Werker, B.J.M.

    2006-01-01

    We study the optimal consumption and portfolio choice problem over an individual's life-cycle taking into account annuity risk at retirement. Optimally, the investor allocates wealth at retirement to nominal, inflation-linked, and variable annuities and conditions this choice on the state of the

  19. Household Portfolios in the Netherlands

    NARCIS (Netherlands)

    Alessie, R.J.M.; Hochgürtel, S.; van Soest, A.H.O.

    2000-01-01

    We describe and analyse the portfolio structure of Dutch households using micro panel data from the CentER Savings Survey, 1993-1998.The data allows for a distinction between many types of assets.Moreover, we have information on mortgage debt, consumer debt, etc.We analyse the composition of

  20. Managing a "N" Securities Portfolio

    Directory of Open Access Journals (Sweden)

    Costică Vlad

    2016-01-01

    For the application that will be described below, namely the management of a portfolio of eightsecurity bonds, a financial analyst should carry more than 10^15 computing operations. Thedemonstration focuses on the analysis of results and on summarizing the concepts used.

  1. Comparison of Portfolio Selection and Performance: Shari’ah-Compliant and Socially Responsible Investment Portfolios

    Directory of Open Access Journals (Sweden)

    Mehmet Asutay

    2015-04-01

    Full Text Available This study examines the effect of Islamic screening criteria on Shari’ah-compliant portfolio selection and performance compared to Socially Responsible Investment (SRI portfolio. Each portfolio constructed from 15 stocks based on FTSE 100 using data from year 1997. Mean-variance portfolio optimization is employed with some financial ratios added as constraints for the Shari’ah portfolio. Annual expected return of each portfolio from 2008 to 2013 is used to calculate Sharpe’s ratio, Treynor ratio and Jensen’s alpha as the performance measurement tools. Macroeconomic variables are assessed using ordinary least square to examine whether they influence the portfolios’ expected returns or not. The result finds that Shari’ah portfolio has a better performance than SRI from year 2008 to 2010 shown by higher value of the measurement tools. However, from 2011 to 2013, SRI portfolio has better performance than Shari’ah portfolio

  2. Analysing Efficiency Of Aggressive ETF-сomposed Portfolio Strategies

    Directory of Open Access Journals (Sweden)

    Anton Zaviyalov

    2014-01-01

    Full Text Available The article investigates investment characteristics of Exchange Traded Funds, a unique category of mutual funds which can be traded like any common equity on any stock exchange through authorized broker companies. One can buy and sell ETFs during the entire trading session, one can open short positions using ETFs and trade on margin. ETF price is determined by supply and demand and due to arbitrage, prices are very close to net asset values (NAV. ETFs attract both individual and institutional investors because they combine the benefits of open-end and closed-end funds. The article explores the results of statistical research to find a principal opportunity to implement an "aggressive" ETF-composed portfolio strategy which can secure stable above-market returns. To put it otherwise, the research aims to test the market efficiency hypothesis in the sector of ETF-composed portfolios. The research methodology centers on statistically testing the null hypothesis whether the average S&P500 return and each of the ETF-composed portfolio strategies average returns are equal to zero. To test such a hypothesis one should perform t-tests with several significance levels. If the null hypothesis is rejected on a certain significance level, this would mean that the average return of the portfolio strategy is significantly different from the average return of the S&P500 index. Based on the results of the t-tests, one can conclude whether the above-mentioned market segment is inefficient or partially inefficient, which would mean one can find an "aggressive"strategy to secure stable above-market returns.

  3. ANALYSING EFFICIENCY OF AGGRESSIVE ETF-COMPOSED PORTFOLIO STRATEGIES

    Directory of Open Access Journals (Sweden)

    Anton Zaviyalov

    2014-01-01

    Full Text Available The article investigates investment characteristics of Exchange Traded Funds, a unique category of mutual funds which can be traded like any common equity on any stock exchange through authorized broker companies. One can buy and sell ETFs during the entire trading session, one can open short positions using ETFs and trade on margin. ETF price is determined by supply and demand and due to arbitrage, prices are very close to net asset values (NAV. ETFs attract both individual and institutional investors because they combine the benefits of open-end and closed-end funds. The article explores the results of statistical research to find a principal opportunity to implement an "aggressive" ETF-composed portfolio strategy which can secure stable above-market returns. To put it otherwise, the research aims to test the market efficiency hypothesis in the sector of ETF-composed portfolios. The research methodology centers on statistically testing the null hypothesis whether the average S&P500 return and each of the ETF-composed portfolio strategies average returns are equal to zero. To test such a hypothesis one should perform t-tests with several significance levels. If the null hypothesis is rejected on a certain significance level, this would mean that the average return of the portfolio strategy is significantly different from the average return of the S&P500 index. Based on the results of the t-tests, one can conclude whether the above-mentioned market segment is inefficient or partially inefficient, which would mean one can find an "aggressive"strategy to secure stable above-market returns.

  4. Automatic Trading Agent. RMT Based Portfolio Theory and Portfolio Selection

    Science.gov (United States)

    Snarska, M.; Krzych, J.

    2006-11-01

    Portfolio theory is a very powerful tool in the modern investment theory. It is helpful in estimating risk of an investor's portfolio, arosen from lack of information, uncertainty and incomplete knowledge of reality, which forbids a perfect prediction of future price changes. Despite of many advantages this tool is not known and not widely used among investors on Warsaw Stock Exchange. The main reason for abandoning this method is a high level of complexity and immense calculations. The aim of this paper is to introduce an automatic decision-making system, which allows a single investor to use complex methods of Modern Portfolio Theory (MPT). The key tool in MPT is an analysis of an empirical covariance matrix. This matrix, obtained from historical data, biased by such a high amount of statistical uncertainty, that it can be seen as random. By bringing into practice the ideas of Random Matrix Theory (RMT), the noise is removed or significantly reduced, so the future risk and return are better estimated and controlled. These concepts are applied to the Warsaw Stock Exchange Simulator {http://gra.onet.pl}. The result of the simulation is 18% level of gains in comparison with respective 10% loss of the Warsaw Stock Exchange main index WIG.

  5. Portfolio optimization in electricity markets

    International Nuclear Information System (INIS)

    Liu, Min; Wu, Felix F.

    2007-01-01

    In a competitive electricity market, Generation companies (Gencos) face price risk and delivery risk that affect their profitability. Risk management is an important and essential part in the Genco's decision making. In this paper, risk management through diversification is considered. The problem of energy allocation between spot markets and bilateral contracts is formulated as a general portfolio optimization problem with a risk-free asset and n risky assets. Historical data of the PJM electricity market are used to demonstrate the approach. (author)

  6. Large deviations and portfolio optimization

    Science.gov (United States)

    Sornette, Didier

    Risk control and optimal diversification constitute a major focus in the finance and insurance industries as well as, more or less consciously, in our everyday life. We present a discussion of the characterization of risks and of the optimization of portfolios that starts from a simple illustrative model and ends by a general functional integral formulation. A major item is that risk, usually thought of as one-dimensional in the conventional mean-variance approach, has to be addressed by the full distribution of losses. Furthermore, the time-horizon of the investment is shown to play a major role. We show the importance of accounting for large fluctuations and use the theory of Cramér for large deviations in this context. We first treat a simple model with a single risky asset that exemplifies the distinction between the average return and the typical return and the role of large deviations in multiplicative processes, and the different optimal strategies for the investors depending on their size. We then analyze the case of assets whose price variations are distributed according to exponential laws, a situation that is found to describe daily price variations reasonably well. Several portfolio optimization strategies are presented that aim at controlling large risks. We end by extending the standard mean-variance portfolio optimization theory, first within the quasi-Gaussian approximation and then using a general formulation for non-Gaussian correlated assets in terms of the formalism of functional integrals developed in the field theory of critical phenomena.

  7. Making sense with ePortfolios

    DEFF Research Database (Denmark)

    Poulsen, Bo Klindt; Dimsits, Miriam

    2017-01-01

    of the statements from the students concerning their understanding of ePortfolio processes are fundamentally questions of how to make sense of the ePortfolio tool, both in their professional and personal lives. This calls for a didactical stance with the teachers who use ePortfolios, based on empowerment through......This article discusses the question of making sense out of working with ePortfolio in adult education. The article presents the results of a small-scale survey among adults in continuing education who have worked with ePortfolio as the central didactic principle. It is argued that many...... meaning-making, in order for ePortfolios to make sense. It is suggested that two relevant didactic perspectives for making sense of the world can be found in theories of biographicity and metaphor work. Moreover, a strong didactic stance that supports sense-making must be based on a strong teacher role...

  8. Post-modern portfolio theory supports diversification in an investment portfolio to measure investment's performance

    OpenAIRE

    Rasiah, Devinaga

    2012-01-01

    This study looks at the Post-Modern Portfolio Theory that maintains greater diversification in an investment portfolio by using the alpha and the beta coefficient to measure investment performance. Post-Modern Portfolio Theory appreciates that investment risk should be tied to each investor's goals and the outcome of this goal did not symbolize economic of the financial risk. Post-Modern Portfolio Theory's downside measure generated a noticeable distinction between downside and upside volatil...

  9. Evaluation of an established learning portfolio.

    Science.gov (United States)

    Vance, Gillian; Williamson, Alyson; Frearson, Richard; O'Connor, Nicole; Davison, John; Steele, Craig; Burford, Bryan

    2013-02-01

    The trainee-held learning portfolio is integral to the foundation programme in the UK. In the Northern Deanery, portfolio assessment is standardised through the Annual Review of Competence Progression (ARCP) process. In this study we aimed to establish how current trainees evaluate portfolio-based learning and ARCP, and how these attitudes may have changed since the foundation programme was first introduced. Deanery-wide trainee attitudes were surveyed by an electronic questionnaire in 2009 and compared with perceptions recorded during the pilot phase (2004-2005).  Many trainees continue to view the e-portfolio negatively. Indeed, significantly fewer trainees in 2009 thought that the e-portfolio was a 'good idea' or a 'worthwhile investment of time' than in 2005. Trainees remain unconvinced about the educational value of the e-portfolio: fewer trainees in 2009 regarded it as a tool that might help focus on training or recognise individual strengths and weaknesses. Issues around unnecessary bureaucracy persist. Current trainees tend to understand how to use the e-portfolio, but many did not know how much, or what evidence to collect. Few supervisors were reported to provide useful guidance on the portfolio. ARCP encouraged portfolio completion but did not give meaningful feedback to drive future learning.   Continued support is needed for both trainees and supervisors in portfolio-building skills and in using the e-portfolio as an educational tool. Trainee-tailored feedback is needed to ensure that portfolio-based assessment promotes lifelong, self-directed and reflective learners. © Blackwell Publishing Ltd 2013.

  10. Portfolios with nonlinear constraints and spin glasses

    Science.gov (United States)

    Gábor, Adrienn; Kondor, I.

    1999-12-01

    In a recent paper Galluccio, Bouchaud and Potters demonstrated that a certain portfolio problem with a nonlinear constraint maps exactly onto finding the ground states of a long-range spin glass, with the concomitant nonuniqueness and instability of the optimal portfolios. Here we put forward geometric arguments that lead to qualitatively similar conclusions, without recourse to the methods of spin glass theory, and give two more examples of portfolio problems with convex nonlinear constraints.

  11. Correlation risk and optimal portfolio choice

    OpenAIRE

    Buraschi, Andrea; Porchia, Paolo; Trojani, Fabio

    2010-01-01

    We develop a new framework for multivariate intertemporal portfolio choice that allows us to derive optimal portfolio implications for economies in which the degree of correlation across industries, countries, or asset classes is stochastic. Optimal portfolios include distinct hedging components against both stochastic volatility and correlation risk. We find that the hedging demand is typically larger than in univariate models, and it includes an economically significant covariance hedging...

  12. Mean-Reverting Portfolio With Budget Constraint

    Science.gov (United States)

    Zhao, Ziping; Palomar, Daniel P.

    2018-05-01

    This paper considers the mean-reverting portfolio design problem arising from statistical arbitrage in the financial markets. We first propose a general problem formulation aimed at finding a portfolio of underlying component assets by optimizing a mean-reversion criterion characterizing the mean-reversion strength, taking into consideration the variance of the portfolio and an investment budget constraint. Then several specific problems are considered based on the general formulation, and efficient algorithms are proposed. Numerical results on both synthetic and market data show that our proposed mean-reverting portfolio design methods can generate consistent profits and outperform the traditional design methods and the benchmark methods in the literature.

  13. Parametric Portfolio Policies with Common Volatility Dynamics

    DEFF Research Database (Denmark)

    Ergemen, Yunus Emre; Taamouti, Abderrahim

    A parametric portfolio policy function is considered that incorporates common stock volatility dynamics to optimally determine portfolio weights. Reducing dimension of the traditional portfolio selection problem significantly, only a number of policy parameters corresponding to first- and second......-order characteristics are estimated based on a standard method-of-moments technique. The method, allowing for the calculation of portfolio weight and return statistics, is illustrated with an empirical application to 30 U.S. industries to study the economic activity before and after the recent financial crisis....

  14. Low volatility sector-based portfolios: a South African case

    African Journals Online (AJOL)

    Black pointed out that when investors are restricted from using leverage or bor- ..... takes into account the correlation between the sectors in a portfolio. ..... 3The information ratio of a portfolio is the active premium (portfolio annualised return ...

  15. Portfolio Diversification with Commodity Futures: Properties of Levered Futures

    NARCIS (Netherlands)

    Woodard, J.D.; Egelkraut, T.M.; Garcia, P.; Pennings, J.M.E.

    2005-01-01

    Portfolio Diversification with Commodity Futures: Properties of Levered Futures This study extends previous work on the impact of commodity futures on portfolio performance by explicitly incorporating levered futures into the portfolio optimization problem. Using data on nine individual commodity

  16. Reliability of Portfolio: A Closer Look at Findings from Recent Publications

    Science.gov (United States)

    Oskay, Ozge Ozyalcin; Schallies, Michael; Morgil, Inci

    2008-01-01

    In this review article, conventional portfolio assessment and new developments in portfolio assessment are investigated. The concept of portfolio, portfolio building steps, contents of portfolio, evaluation of portfolio, advantages, disadvantages and concerns in using portfolio as well as validity and reliability of portfolio assessment are…

  17. Academic portfolio in the digital era: organizing and maintaining a portfolio using reference managers.

    Science.gov (United States)

    Bhargava, Puneet; Patel, Vatsal B; Iyer, Ramesh S; Moshiri, Mariam; Robinson, Tracy J; Lall, Chandana; Heller, Matthew T

    2015-02-01

    The academic portfolio has become an integral part of the promotions process. Creating and maintaining an academic portfolio in paper-based or web-based formats can be a cumbersome and time-consuming task. In this article, we describe an alternative way to efficiently organize an academic portfolio using a reference manager software, and discuss some of the afforded advantages. The reference manager software Papers (Mekentosj, Amsterdam, The Netherlands) was used to create an academic portfolio. The article outlines the key steps in creating and maintaining a digital academic portfolio. Using reference manager software (Papers), we created an academic portfolio that allows the user to digitally organize clinical, teaching, and research accomplishments in an indexed library enabling efficient updating, rapid retrieval, and easy sharing. To our knowledge, this is the first digital portfolio of its kind.

  18. Model Risk in Portfolio Optimization

    Directory of Open Access Journals (Sweden)

    David Stefanovits

    2014-08-01

    Full Text Available We consider a one-period portfolio optimization problem under model uncertainty. For this purpose, we introduce a measure of model risk. We derive analytical results for this measure of model risk in the mean-variance problem assuming we have observations drawn from a normal variance mixture model. This model allows for heavy tails, tail dependence and leptokurtosis of marginals. The results show that mean-variance optimization is seriously compromised by model uncertainty, in particular, for non-Gaussian data and small sample sizes. To mitigate these shortcomings, we propose a method to adjust the sample covariance matrix in order to reduce model risk.

  19. Portfolio Manager Selection – A Case Study

    DEFF Research Database (Denmark)

    Christensen, Michael

    2017-01-01

    Within a delegated portfolio management setting, this paper presents a case study of how the manager selection process can be operationalized in practice. Investors have to pursue a thorough screening of potential portfolio managers in order to discover their quality, and this paper discusses how...

  20. Purchasing portfolio models: a critique and update

    NARCIS (Netherlands)

    Gelderman, C.J.; Weele, van A.J.

    2005-01-01

    Purchasing portfolio models have spawned considerable discussion in the literature. Many advantages and disadvantages have been put forward, revealing considerable divergence in opinion on the merits of portfolio models. This study addresses the question of whether or not the use of purchasing

  1. Robust portfolio selection under norm uncertainty

    Directory of Open Access Journals (Sweden)

    Lei Wang

    2016-06-01

    Full Text Available Abstract In this paper, we consider the robust portfolio selection problem which has a data uncertainty described by the ( p , w $(p,w$ -norm in the objective function. We show that the robust formulation of this problem is equivalent to a linear optimization problem. Moreover, we present some numerical results concerning our robust portfolio selection problem.

  2. Managing R&D Alliance Portfolios

    DEFF Research Database (Denmark)

    Engel Nielsen, Lars; Mahnke, Volker

    2003-01-01

    be observed in several companies engaged in the cross section of telecommunication and mobile technology where increased complexity magnifies managerial challenges. Drawing on modern portfolio theory, this paper offers a model for managing portfolios of R&D alliances. In particular, an analysis...

  3. Essays on intertemporal consumption and portfolio choice

    NARCIS (Netherlands)

    van Bilsen, Servaas

    2015-01-01

    This dissertation consists of two parts, preceded by an introductory chapter. Part I (Chapters 2, 3 and 4) considers optimal consumption and portfolio choice using preference models. Chapter 2 analyzes optimal consumption and portfolio choice under loss aversion and endogenous updating of the

  4. Portfolios for Majors in Professional Communication.

    Science.gov (United States)

    Killingsworth, M. Jimmie; Sanders, Scott P.

    1987-01-01

    Suggests general principles for developing assignments where students prepare portfolios that reveal their overall communication skills in addition to the usual job search tools. Emphasizes that students should concentrate on including works in the portfolio with the criteria of quality, variety, professionalism, and maturity in mind. (SKC)

  5. Reflection during Portfolio-Based Conversations

    Science.gov (United States)

    Oosterbaan, Anne E.; van der Schaaf, Marieke F.; Baartman, Liesbeth K. J.; Stokking, Karel M.

    2010-01-01

    This study aims to explore the relationship between the occurrence of reflection (and non-reflection) and thinking activities (e.g., orientating, selecting, analysing) during portfolio-based conversations. Analysis of 21 transcripts of portfolio-based conversations revealed that 20% of the segments were made up of reflection (content reflection…

  6. IT Portfolio Selection and IT Synergy

    Science.gov (United States)

    Cho, Woo Je

    2010-01-01

    This dissertation consists of three chapters. The primary objectives of this dissertation are: (1) to provide a methodological framework of IT (Information Technology) portfolio management, and (2) to identify the effect of IT synergy on IT portfolio selection of a firm. The first chapter presents a methodological framework for IT project…

  7. Capstone Portfolios and Geography Student Learning Outcomes

    Science.gov (United States)

    Mossa, Joann

    2014-01-01

    Due to increasing demands regarding student learning outcomes and accreditation, a capstone portfolio was added to assess critical thinking and communication skills of geography majors at a large public university in the USA. The portfolio guidelines were designed to be adaptable to a flexible curriculum where about half of the requirements within…

  8. Predictors and Portfolios Over the Life Cycle

    DEFF Research Database (Denmark)

    Kraft, Holger; Munk, Claus; Weiss, Farina

    In a calibrated consumption-portfolio model with stock, housing, and labor income predictability, we evaluate the welfare effects of predictability on life-cycle consumption-portfolio choice. We compare skilled investors who are able to take advantage of all sources of predictability with unskilled...

  9. Optimal Portfolio Choice with Wash Sale Constraints

    DEFF Research Database (Denmark)

    Astrup Jensen, Bjarne; Marekwica, Marcel

    2011-01-01

    We analytically solve the portfolio choice problem in the presence of wash sale constraints in a two-period model with one risky asset. Our results show that wash sale constraints can heavily affect portfolio choice of investors with unrealized losses. The trading behavior of such investors...

  10. On the Teaching of Portfolio Theory.

    Science.gov (United States)

    Biederman, Daniel K.

    1992-01-01

    Demonstrates how a simple portfolio problem expressed explicitly as an expected utility maximization problem can be used to instruct students in portfolio theory. Discusses risk aversion, decision making under uncertainty, and the limitations of the traditional mean variance approach. Suggests students may develop a greater appreciation of general…

  11. The Use of Portfolios in Leadership Education

    Science.gov (United States)

    Olsen, Paul E.

    2009-01-01

    This paper discusses the benefits of using student portfolios in undergraduate leadership education at Saint Michael's College. There appears to be a natural link between the use of portfolios as a tool to facilitate and document leadership growth and development. The Business Administration and Accounting Department at Saint Michael's College…

  12. Optimal portfolio choice under loss aversion

    NARCIS (Netherlands)

    A.B. Berkelaar (Arjan); R.R.P. Kouwenberg (Roy)

    2000-01-01

    textabstractProspect theory and loss aversion play a dominant role in behavioral finance. In this paper we derive closed-form solutions for optimal portfolio choice under loss aversion. When confronted with gains a loss averse investor behaves similar to a portfolio insurer. When confronted with

  13. SunShot Initiative Portfolio Book 2014

    Energy Technology Data Exchange (ETDEWEB)

    Solar Energy Technologies Office

    2014-05-01

    The 2014 SunShot Initiative Portfolio Book outlines the progress towards the goals outlined in the SunShot Vision Study. Contents include overviews of each of SunShot’s five subprogram areas, as well as a description of every active project in the SunShot’s project portfolio as of May 2014.

  14. Portfolio Diversification Effects of Downside Risk

    NARCIS (Netherlands)

    N. Hyung (Namwon); C.G. de Vries (Casper)

    2004-01-01

    textabstractRisk managers use portfolios to diversify away the un-priced risk of individual securities. In this paper we compare the benefits of portfolio diversification for downside risk in case returns are normally distributed with the case fat tailed distributed returns. The downside risk of a

  15. The Shapley decomposition for portfolio risk

    OpenAIRE

    Stéphane Mussard; Virginie Terraza

    2006-01-01

    The aim of this paper is to provide an application of the Shapley Value to decompose financial portfolio risk. Decomposing the sample covariance risk measure yields relative measures, which enable securities of a portfolio to be classified according to risk scales.

  16. Portfolio Assessment: Production and Reduction of Complexity

    DEFF Research Database (Denmark)

    Keiding, Tina Bering; Qvortrup, Ane

    2015-01-01

    Over the last two decades, the education system has witnessed a shift from summative, product-oriented assessment towards formative, process-oriented assessment. Among the different learning and assessment initiatives introduced in the slipstream of this paradigmatic turn, the portfolio seems...... to have become one of the most popular. By re-describing the portfolio from a systems theoretical point of view, this article discusses established expectations of the portfolio in relation to transparency in learning, reflexivity and self-assessment. It shows that the majority of the literature deals...... with what-questions and that the portfolio is expected to handle a number of challenges with regard to the documentation of learning processes and achievements as well as the conditioning of learning activities. Furthermore, is becomes clear that descriptions of how the portfolio works are sparse. Based...

  17. Student evaluations of the portfolio process.

    Science.gov (United States)

    Murphy, John E; Airey, Tatum C; Bisso, Andrea M; Slack, Marion K

    2011-09-10

    To evaluate pharmacy students' perceived benefits of the portfolio process and to gather suggestions for improving the process. A questionnaire was designed and administered to 250 first-, second-, and third-year pharmacy students at the University of Arizona College of Pharmacy. Although the objectives of the portfolio process were for students to understand the expected outcomes, understand the impact of extracurricular activities on attaining competencies, identify what should be learned, identify their strengths and weaknesses, and modify their approach to learning, overall students perceived the portfolio process as having less than moderate benefit. First-year students wanted more examples of portfolios while second- and third-year students suggested that more time with their advisor would be beneficial. The portfolio process will continue to be refined and efforts made to improve students' perceptions of the process as it is intended to develop the self-assessments skills they will need to improve their knowledge and professional skills throughout their pharmacy careers.

  18. Stable isotopes

    International Nuclear Information System (INIS)

    Evans, D.K.

    1986-01-01

    Seventy-five percent of the world's stable isotope supply comes from one producer, Oak Ridge Nuclear Laboratory (ORNL) in the US. Canadian concern is that foreign needs will be met only after domestic needs, thus creating a shortage of stable isotopes in Canada. This article describes the present situation in Canada (availability and cost) of stable isotopes, the isotope enrichment techniques, and related research programs at Chalk River Nuclear Laboratories (CRNL)

  19. Portfolio Optimization and Mortgage Choice

    Directory of Open Access Journals (Sweden)

    Maj-Britt Nordfang

    2017-01-01

    Full Text Available This paper studies the optimal mortgage choice of an investor in a simple bond market with a stochastic interest rate and access to term life insurance. The study is based on advances in stochastic control theory, which provides analytical solutions to portfolio problems with a stochastic interest rate. We derive the optimal portfolio of a mortgagor in a simple framework and formulate stylized versions of mortgage products offered in the market today. This allows us to analyze the optimal investment strategy in terms of optimal mortgage choice. We conclude that certain extreme investors optimally choose either a traditional fixed rate mortgage or an adjustable rate mortgage, while investors with moderate risk aversion and income prefer a mix of the two. By matching specific investor characteristics to existing mortgage products, our study provides a better understanding of the complex and yet restricted mortgage choice faced by many household investors. In addition, the simple analytical framework enables a detailed analysis of how changes to market, income and preference parameters affect the optimal mortgage choice.

  20. PRODUCT PORTFOLIO ANALYSIS - ARTHUR D. LITTLE MATRIX

    Directory of Open Access Journals (Sweden)

    Curmei Catalin Valeriu

    2011-07-01

    Full Text Available In recent decades we have witnessed an unseen dynamism among companies, which is explained by their desire to engage in more activities that provide a high level of development and diversification. Thus, as companies are diversifying more and more, their managers confront a number of challenges arising from the management of resources for the product portfolio and the low level of resources with which companies can identify, at a time. Responding to these challenges, over time were developed a series of analytical product portfolio methods through which managers can balance the sources of cash flows from the multiple products and also can identify the place and role of products, in strategic terms, within the product portfolio. In order to identify these methods the authors of the present paper have conducted a desk research in order to analyze the strategic marketing and management literature of the last 2 decades. Widely were studied a series of methods that are presented in the marketing and management literature as the main instruments used within the product portfolio strategic planning process. Among these methods we focused on the Arthur D. Little matrix. Thus the present paper has the purpose to outline the characteristics and strategic implications of the ADL matrix within a company’s product portfolio. After conducting this analysis we have found that restricting the product portfolio analysis to the A.D.L. matrix is not a very wise decision. The A.D.L. matrix among with other marketing tools of product portfolio analysis have some advantages and disadvantages and is trying to provide, at a time, a specific diagnosis of a company’s product portfolio. Therefore, the recommendation for the Romanian managers consists in a combined use of a wide range of tools and techniques for product portfolio analysis. This leads to a better understanding of the whole mix of product markets, included in portfolio analysis, the strategic position

  1. Portfolio and diversity analysis of energy technologies using full-spectrum risk measures

    Energy Technology Data Exchange (ETDEWEB)

    Jansen, J.C.; Beurskens, L.W.M. [ECN Policy Studies, Petten (Netherlands); Awerbuch, S.; Stirling, A.C. [Science and Technology Policy Research SPRU, University of Sussex, Brighton, East Sussex (United Kingdom)

    2005-01-01

    Energy diversity and security have been evaluated using the multi-criteria diversity analysis (MDA) of A. C. Stirling as well as more classical Markowitz mean-variance portfolio (MVP) theory. Each of these approaches is capable of producing an efficient frontier that shows optimal generating portfolio mixes, those that maximize performance (i.e. minimize cost) while minimizing risk or uncertainty (i.e. maximizing diversity). MDA covers the full-spectrum of uncertainty, reaching into areas where little is known about the range of possible outcomes, let alone their probabilities. However, MDA does not exploit statistical information that is available in certain parts of the risk-spectrum where historic means, variances and co-variances of outcomes are known and can be used to make inferences about the future. MVP operates precisely in this space. However, like other capital market models, its prescriptive value rests on the idea that the past is the best guide to the future. As such MVP can be blind to unforeseen events that create future structural change. Used in isolation, therefore, neither model offers a fully satisfying result. An MVP analysis of energy technologies tells us how to create generating portfolios with minimum cost and risk (cost-variance), assuming historic ranges predict the future well enough. If policy makers are confident that past expected values, ranges and variances will continue, then the solutions are fine. But what about so-called unknown risks? Possible future events that may produce outcomes with unknown consequences? This is where MDA becomes a potentially powerful tool. This project seeks to merge the two approaches and to map the space between optimal MVP and MDA solutions using a combined MVP+MDA optimization and weighting scheme. Placing 100% of the emphasis on MVP, for example, produces results based purely on historical trends. These may serve for short planning horizons. On the other hand, giving MDA a 100% weighting produces

  2. Patent portfolio management: literature review and a proposed model.

    Science.gov (United States)

    Conegundes De Jesus, Camila Kiyomi; Salerno, Mario Sergio

    2018-05-09

    Patents and patent portfolios are gaining attention in the last decades, from the called 'pro-patent era' to the recent billionaire transactions involving patent portfolios. The field is growing in importance, both theoretically and practically and despite having substantial literature on new product development portfolio management, we have not found an article relating this theory to patent portfolios. Areas covered: The paper develops a systematic literature review on patent portfolio management to organize the evolution and tendencies of patent portfolio management, highlighting distinctive features of patent portfolio management. Interview with IP manager of three life sciences companies, including a leading multinational group provided relevant information about patent portfolio management. Expert opinion: Based on the systematic literature review on portfolio management, more specifically, on new product development portfolio theory, and interview the paper proposes the paper proposes a reference model to manage patent portfolios. The model comprises four stages aligned with the three goals of the NPD portfolio management: 1 - Linking strategy of the Company's NPD Portfolio to Patent Portfolio; 2 - Balancing the portfolio in buckets; 3 - Patent Valuation (maximizing valuation); 4 - Regularly reviewing the patent portfolio.

  3. 12 CFR 1252.1 - Enterprise portfolio holding criteria.

    Science.gov (United States)

    2010-01-01

    ... 12 Banks and Banking 7 2010-01-01 2010-01-01 false Enterprise portfolio holding criteria. 1252.1 Section 1252.1 Banks and Banking FEDERAL HOUSING FINANCE AGENCY ENTERPRISES PORTFOLIO HOLDINGS § 1252.1 Enterprise portfolio holding criteria. The Enterprises are required to comply with the portfolio holdings...

  4. Portfolio Assessment: A Handbook for Educators. Assessment Bookshelf Series.

    Science.gov (United States)

    Barton, James, Ed.; Collins, Angelo, Ed.

    This guide contains practical steps for integrating portfolios into any K-12 classroom and tips for effective classroom management of portfolios. It also contains actual examples of portfolios in action in a variety of subject areas. The chapters are: (1) "Starting Out: Designing Your Portfolio" (James Barton and Angelo Collins); (2) "Preparing…

  5. The Finite and Moving Order Multinomial Universal Portfolio

    International Nuclear Information System (INIS)

    Tan, Choon Peng; Pang, Sook Theng

    2013-01-01

    An upper bound for the ratio of wealths of the best constant -rebalanced portfolio to that of the multinomial universal portfolio is derived. The finite- order multinomial universal portfolios can reduce the implementation time and computer-memory requirements for computation. The improved performance of the finite-order portfolios on some selected local stock-price data sets is observed.

  6. METHODICAL BASES OF MANAGEMENT OF INSURANCE PORTFOLIO

    Directory of Open Access Journals (Sweden)

    Serdechna Yulia

    2018-01-01

    Full Text Available Introduction. Despite the considerable arsenal of developments in the issues of assessing the management of the insurance portfolio remains unresolved. In order to detail, specify and further systematize the indicators for the indicated evaluation, the publications of scientists are analyzed. The purpose of the study is to analyze existing methods by which it is possible to formulate and manage the insurance portfolio in order to achieve its balance, which will contribute to ensuring the financial reliability of the insurance company. Results. The description of the essence of the concept of “management of insurance portfolio”, as the application of actuarial methods and techniques to the combination of various insurance risks offered for insurance or are already part of the insurance portfolio, allowing to adjust the size and structure of the portfolio in order to ensure its financial stability, achievement the maximum level of income of an insurance organization, preservation of the value of its equity and financial security of insurance liabilities. It is determined that the main methods by which the insurer’s insurance portfolio can be formed and managed is the selection of risks; reinsurance operations that ensure diversification of risks; formation and placement of insurance reserves, which form the financial basis of insurance activities. The method of managing an insurance portfolio, which can be both active and passive, is considered. Conclusions. It is determined that the insurance portfolio is the basis on which all the activities of the insurer are based and which determines its financial stability. The combination of methods and technologies applied to the insurance portfolio is a management method that can be both active and passive and has a number of specific methods through which the insurer’s insurance portfolio can be formed and managed. It is substantiated that each insurance company aims to form an efficient and

  7. Portfolio analysis of layered security measures.

    Science.gov (United States)

    Chatterjee, Samrat; Hora, Stephen C; Rosoff, Heather

    2015-03-01

    Layered defenses are necessary for protecting the public from terrorist attacks. Designing a system of such defensive measures requires consideration of the interaction of these countermeasures. In this article, we present an analysis of a layered security system within the lower Manhattan area. It shows how portfolios of security measures can be evaluated through portfolio decision analysis. Consideration is given to the total benefits and costs of the system. Portfolio diagrams are created that help communicate alternatives among stakeholders who have differing views on the tradeoffs between security and economic activity. © 2014 Society for Risk Analysis.

  8. Does asymmetric correlation affect portfolio optimization?

    Science.gov (United States)

    Fryd, Lukas

    2017-07-01

    The classical portfolio optimization problem does not assume asymmetric behavior of relationship among asset returns. The existence of asymmetric response in correlation on the bad news could be important information in portfolio optimization. The paper applies Dynamic conditional correlation model (DCC) and his asymmetric version (ADCC) to propose asymmetric behavior of conditional correlation. We analyse asymmetric correlation among S&P index, bonds index and spot gold price before mortgage crisis in 2008. We evaluate forecast ability of the models during and after mortgage crisis and demonstrate the impact of asymmetric correlation on the reduction of portfolio variance.

  9. Real Time Investments with Adequate Portfolio Theory

    Directory of Open Access Journals (Sweden)

    Alina Kvietkauskienė

    2015-02-01

    Full Text Available The objective of this paper is to identify investment decision makingschemes using the adequate portfolio model. This approach can be employed to project investment in stocks, using the opportunities offered by the markets and investor intelligence. It was decided to use adequate portfolio theory for investment decision making, simulation of financial markets, and optimisation of utility function. The main conclusion of article suggests investigating return on individual portfolio level. Real investment is a way to make sure of the soundness of applicable strategies.

  10. Technology Audit: Assessment of Innovative Portfolio

    Directory of Open Access Journals (Sweden)

    Kurushina Viktoria

    2016-01-01

    Full Text Available The article discusses the features of the technological audit performing in the companies of oil and gas sector of Russian economy. To measure the innovations quality level the scale was developed based on the Theory of Inventive Problem Solving and the theory of technological structures. Figures of the innovations quantity by levels, volume and quality of the innovative portfolio are offered for assessment the innovative portfolio quality. The method was tested on an example of oil and gas transporting enterprises. The results of the comparative analysis of innovative portfolio are shown.

  11. An Extensive Evaluation of Portfolio Approaches for Constraint Satisfaction Problems

    Directory of Open Access Journals (Sweden)

    Roberto Amadini

    2016-06-01

    Full Text Available In the context of Constraint Programming, a portfolio approach exploits the complementary strengths of a portfolio of different constraint solvers. The goal is to predict and run the best solver(s of the portfolio for solving a new, unseen problem. In this work we reproduce, simulate, and evaluate the performance of different portfolio approaches on extensive benchmarks of Constraint Satisfaction Problems. Empirical results clearly show the benefits of portfolio solvers in terms of both solved instances and solving time.

  12. Optimal Portfolio Rebalancing Strategy : Evidence from Finnish Stocks

    OpenAIRE

    Savage, Akinwunmi

    2010-01-01

    Portfolio rebalancing is an established concept in portfolio management and investing generally. Assets within a portfolio have different return and risk prospects, and this inevitably leads them to drift away from their initial allocation weights overtime. Portfolio rebalancing is arguably the only method by which such assets can be reset to their initial weights, thus ensuring the portfolio reflects the risk appetite of the investor. Like many other concepts and practices in finance, portfo...

  13. 13 CFR 107.760 - How a change in size or activity of a Portfolio Concern affects the Licensee and the Portfolio...

    Science.gov (United States)

    2010-01-01

    ... of a Portfolio Concern affects the Licensee and the Portfolio Concern. 107.760 Section 107.760... § 107.760 How a change in size or activity of a Portfolio Concern affects the Licensee and the Portfolio Concern. (a) Effect on Licensee of a change in size of a Portfolio Concern. If a Portfolio Concern no...

  14. E-portfolios in lifelong learning

    NARCIS (Netherlands)

    Brouns, Francis; Vogten, Hubert; Janssen, José; Finders, Anton

    2013-01-01

    Brouns, F., Vogten, H., Janssen, J., & Finders, A. (2013, 14-15 November). E-portfolios in lifelong learning. Presentation given at the 2013 Conference on Technological Ecosystems for Enhancing Multiculturality, TEEM2013, Salamanca, Spain.

  15. Optimal diversification of the securities portfolio

    Directory of Open Access Journals (Sweden)

    Валентина Михайловна Андриенко

    2016-09-01

    Full Text Available The article deals with problems of the theory and methods of forming the optimal portfolio of financial markets. The analytical review of methods in their historical development is given. Recommendations on the use of a particular method depends on the specific conditions are formulated. The classical and alternative methods are considered. The main attention is paid to the analysis of the investment portfolio of derivative securities in B/S-market modelThe article deals with problems of the theory and methods of forming the optimal portfolio of financial markets. The analytical review of methods in their historical development is given. Recommendations on the use of a particular method depends on the specific conditions are formulated. The classical and alternative methods are considered. The main attention is paid to the analysis of the investment portfolio of derivative securities in -market model

  16. Active Multifamily Portfolio-Property Level data

    Data.gov (United States)

    Department of Housing and Urban Development — Multifamily Portfolio datasets (section 8 contracts) - The information has been compiled from multiple data sources within FHA or its contractors. HUD oversees more...

  17. ROMANIAN INVESTORS PORTFOLIO. ONLINE VERSUS ASSISTED TRADING

    Directory of Open Access Journals (Sweden)

    Ioana Ancuţa IANCU

    2017-05-01

    Full Text Available One of the most important aspects in deciding to trade online, alone, without the help of a broker, is the portfolio profitability. In this study, using the personal experience, survey data and secondary sources, we identify some factors that may influence the gain and the loss of investors which trade online. Our study contradicts other results from literature that claim that the transition from assisted to online trading is a big drawback in terms of portfolio profitability. By analyzing the performance of the portfolio when passing from assisted to online trading, we observe that half of the investors achieved identical profitability. We also observed that the efficiency of the portfolios belonging to the online investors that were assisted in the past by a broker for a short period, is lower compared to the ones assisted (in the past for a longer period.

  18. Managing sovereign credit risk in bond portfolios

    OpenAIRE

    Bruder, Benjamin; Hereil, Pierre; Roncalli, Thierry

    2011-01-01

    With the recent development of the European debt crisis, traditional index bond management has been severely called into question. We focus here on the risk issues raised by the classical market-capitalization weighting scheme. We propose an approach to properly measure sovereign credit risk in a fixed-income portfolio. For that, we assume that CDS spreads follow a SABR process and we derive a sovereign credit risk measure based on CDS spreads and duration of portfolio bonds. We then consider...

  19. Online Learning of Commission Avoidant Portfolio Ensembles

    OpenAIRE

    Uziel, Guy; El-Yaniv, Ran

    2016-01-01

    We present a novel online ensemble learning strategy for portfolio selection. The new strategy controls and exploits any set of commission-oblivious portfolio selection algorithms. The strategy handles transaction costs using a novel commission avoidance mechanism. We prove a logarithmic regret bound for our strategy with respect to optimal mixtures of the base algorithms. Numerical examples validate the viability of our method and show significant improvement over the state-of-the-art.

  20. Subjective Life Horizon and Portfolio Choice

    OpenAIRE

    Spaenjers , Christophe; Spira, Sven Michael

    2013-01-01

    Using data from a U.S. household survey, we examine the empirical relation between subjective life horizon (i.e., the self-reported expectation of remaining life span) and portfolio choice. We find that equity portfolio shares are higher for investors with longer horizons, ceteris paribus, in line with theoretical predictions. This result is robust to controlling for optimism and health status, accounting for the endogeneity of equity market participation, or instrumenting subjective life hor...

  1. Portfolio Selection with Jumps under Regime Switching

    Directory of Open Access Journals (Sweden)

    Lin Zhao

    2010-01-01

    Full Text Available We investigate a continuous-time version of the mean-variance portfolio selection model with jumps under regime switching. The portfolio selection is proposed and analyzed for a market consisting of one bank account and multiple stocks. The random regime switching is assumed to be independent of the underlying Brownian motion and jump processes. A Markov chain modulated diffusion formulation is employed to model the problem.

  2. Equity Portfolio Management Using Option Price Information

    DEFF Research Database (Denmark)

    Christoffersen, Peter; Pan, Xuhui (Nick)

    We survey the recent academic literature that uses option-implied information to construct equity portfolios. Studies show that equity managers can earn a positive alpha by using information in individual equity options, by using stocks' exposure to information in market index options, and by using...... stocks' exposure to crude oil option information. Option-implied information can also help construct better mean-variance portfolios and better estimates of market beta....

  3. Systemic risk contributions: a credit portfolio approach

    OpenAIRE

    Düllmann, Klaus; Puzanova, Natalia

    2011-01-01

    We put forward a Merton-type multi-factor portfolio model for assessing banks' contributions to systemic risk. This model accounts for the major drivers of banks' systemic relevance: size, default risk and correlation of banks' assets as a proxy for interconnectedness. We measure systemic risk in terms of the portfolio expected shortfall (ES). Banks' (marginal) risk contributions are calculated based on partial derivatives of the ES in order to ensure a full risk allocation among institutions...

  4. Essays on portfolio choice with Bayesian methods

    OpenAIRE

    Kebabci, Deniz

    2007-01-01

    How investors should allocate assets to their portfolios in the presence of predictable components in asset returns is a question of great importance in finance. While early studies took the return generating process as given, recent studies have addressed issues such as parameter estimation and model uncertainty. My dissertation develops Bayesian methods for portfolio choice - and industry allocation in particular - under parameter and model uncertainty. The first chapter of my dissertation,...

  5. Optimal annuity portfolio under inflation risk

    DEFF Research Database (Denmark)

    Konicz, Agnieszka Karolina; Pisinger, David; Weissensteiner, Alex

    2015-01-01

    The paper investigates the importance of in ation-linked annuities to individuals facing in ation risk. Given the investment opportunities in nominal, real, and variable annuities, as well as cash and stocks, we investigate the consumption and investment decisions under two different objective fu...... and risk aversion, real annuities are a crucial asset in every portfolio. In addition, without investing in real annuities, the retiree has to rebalance the portfolio more frequently, and still obtains the lower and more volatile real consumption....

  6. Reinforcement Learning in Repeated Portfolio Decisions

    OpenAIRE

    Diao, Linan; Rieskamp, Jörg

    2011-01-01

    How do people make investment decisions when they receive outcome feedback? We examined how well the standard mean-variance model and two reinforcement models predict people's portfolio decisions. The basic reinforcement model predicts a learning process that relies solely on the portfolio's overall return, whereas the proposed extended reinforcement model also takes the risk and covariance of the investments into account. The experimental results illustrate that people reacted sensitively to...

  7. Testing for structural changes in large portfolios

    OpenAIRE

    Posch, Peter N.; Ullmann, Daniel; Wied, Dominik

    2015-01-01

    Model free tests for constant parameters often fail to detect structural changes in high dimensions. In practice, this corresponds to a portfolio with many assets and a reasonable long time series. We reduce the dimensionality of the problem by looking a compressed panel of time series obtained by cluster analysis and the principal components of the data. Using our methodology we are able to extend a test for a constant correlation matrix from a sub portfolio to whole indices a...

  8. Implementation of portfolio theory to the analysis of electricity generation in Mexico; Implementacion de la teoria del portafolio para el analisis de la generacion de energia electrica en Mexico

    Energy Technology Data Exchange (ETDEWEB)

    Esquivel E, J.; Ramirez S, J. R.; Palacios H, J. C., E-mail: jaime.esquivel@inin.gob.mx [ININ, Carretera Mexico-Toluca s/n, 52750 Ocoyoacac, Estado de Mexico (Mexico)

    2014-10-15

    As part of the activities of economic analysis to the National Energy Strategy 2013-2027 of Mexico has been developed a computational platform to support decision-making based on the risk and performance in obtaining the optimum combination of technologies involved in the electricity generation. To this end, they consider five technologies: combined cycle, thermal coal, nuclear, hydro and wind. Each technology has been analyzed independently based on the total cost of generation level (given in dl s/KWh or dl s/MWh), leaning on documents as the Poise 2012-2026 and COPAR 2013. Subsequently by portfolio theory proposed by Markowitz, that combination of technologies that provide a greater benefit in the electricity generation is determined. In this study we consider two base work areas on which the proposed portfolios are reflected. The conformation of work areas is derived from the National Energy Strategy 2013-2027, considering a scenario with fossil technologies (combined cycle, thermal coal and nuclear) and other, making greater emphasis on the use of renewable technologies (combined cycle, hydro and wind). Finally, four portfolios are presented, each one with different percentages of ownership of technology in electricity generation, verifying the risk and performance of each combination. Of the analyzed portfolios, one corresponds to the mix of technologies which are currently in the country. The remaining derive the percentage share of combined-cycle technology, by subtracting 10% of their contribution and distributing it in three ways: by increasing the 10% share of nuclear technology; increasing 10% contribution of thermal coal technology and finally, extending the 5% of the electricity generation of nuclear technology and 5% increase in the electricity generation by wind technology. (Author)

  9. Optimization of China's generating portfolio and policy implications based on portfolio theory

    International Nuclear Information System (INIS)

    Zhu, Lei; Fan, Ying

    2010-01-01

    This paper applies portfolio theory to evaluate China's 2020-medium-term plans for generating technologies and its generating portfolio. With reference to the risk of relevant generating-cost streams, the paper discusses China's future development of efficient (Pareto optimal) generating portfolios that enhance energy security in different scenarios, including CO 2 -emission-constrained scenarios. This research has found that the future adjustment of China's planned 2020 generating portfolio can reduce the portfolio's cost risk through appropriate diversification of generating technologies, but a price will be paid in the form of increased generating cost. In the CO 2 -emission-constrained scenarios, the generating-cost risk of China's planned 2020 portfolio is even greater than that of the 2005 portfolio, but increasing the proportion of nuclear power in the generating portfolio can reduce the cost risk effectively. For renewable-power generation, because of relatively high generating costs, it will be necessary to obtain stronger policy support to promote renewable-power development.

  10. Validity of the Learning Portfolio: Analysis of a Portfolio Proposal for the University

    Science.gov (United States)

    Gregori-Giralt, Eva; Menéndez-Varela, José Luis

    2015-01-01

    Validity is a central issue in portfolio-based assessment. This empirical study used a quantitative approach to analyse the validity of the inferences drawn from a disciplinary course work portfolio assessment comprising profession-specific and learning competencies. The study also examined the problems involved in the development of the…

  11. Eficiência das Companhias Abertas e o Risco versus Retorno das Carteiras de Ações a partir do Modelo de Markowitz

    Directory of Open Access Journals (Sweden)

    Tatiana Marceda Bach

    2015-04-01

    Full Text Available As decisões sobre em qual carteira investir para reduzir o risco e maximizar o retorno das ações podem ser auxiliadas aliando-se os modelos Análise por Envoltória de Dados (DEA e a seleção de carteiras eficientes de Markowitz. Pretende-se, nesta investigação, analisar se existe relação entre a eficiência, o retorno e o risco das carteiras diversificadas no mercado brasileiro de ações. Entre os principais resultados, destaca-se que as empresas consideradas mais eficientes, ao nível de 100%, tiveram suas ações e estratégias focadas na maximização do valor do acionista e na realização de auditorias. Houve uma maior predominância de companhias vinculadas aos setores de construção, alimentos e bebidas, siderurgia e metalurgia, têxtil e de transporte e serviços. As carteiras que apresentaram a melhor relação do risco em função do seu total de ativos, também apresentaram, de forma complementar, o índice de Sharpe superior. Desse modo, se o investidor tiver um perfil avesso ao risco a melhor opção seria investir em uma carteira com risco menor e, por outro lado, se o investidor for mais ponderado em relação ao risco, este pode decidir pela adoção de uma carteira que apresente um risco maior em função de um dado retorno. Não houve indícios sobre a relação entre as companhias definidas como eficientes e uma melhor relação entre o risco e o retorno do investidor, ou seja, o fato de serem consideradas eficientes não oferece suporte para que sejam realizados investimentos nas carteiras formadas por elas. Dessa forma, quando se pretende investir em uma carteira de ativos, as companhias consideradas eficientes não podem ser tomadas como parâmetros para a maximização da relação risco e retorno.

  12. Bank Portfolio Structure and Economic Absorption Theory of Economic Development: A Theoretical Proposition

    Directory of Open Access Journals (Sweden)

    Uduak B. UBOM

    2016-11-01

    Full Text Available The focus of this article was on theoretical proposition of Bank Portfolio Structure and Economic Absorption Theory of economic development. Specifically, the work sought to establish the basis of bank portfolio rigidity and to identify the causes of economic absorption problems and their implications on economic development. The theoretical and conceptual research designs were used. Existing literatures were reviewed using archival retrieval approach, library search and internet exploration. The information obtained was judgmentally, logically and qualitatively analyzed. It was discovered among others, that, bank portfolio rigidity stems from regulatory policy defects using inconsistent monetary policy tools such as high liquidity ratio and cash ratio, etc. and compelling the banks to adhere to the regulatory requirement, as well as lack of adequate and quality stock of infrastructure and technology as the basic causes of economic absorption problems. Above all, low level of economic absorption has been discovered to hinder effective contributions of banks to economic development. Following from above, it was therefore recommended that regulatory tools used by Central Banks should be aligned with the development needs of the economy and the direction of governments. The monetary policy tools such as liquidity and cash ratios should also be moderated and stabilized for stable bank portfolio performance as well as aggressive improvement in the stock and quality of infrastructure and technology within an economy. With the new theory, it is expected that policy formulations and adjustments concerning bank portfolio structure and management would be designed with adequate flexibility and focus on long term loans and investments coupled with improved stock and quality of infrastructure to enhance economic development. This theory therefore provides another frontier of research on bank portfolio structure and contributions to economic development.

  13. Ant colony algorithm for clustering in portfolio optimization

    Science.gov (United States)

    Subekti, R.; Sari, E. R.; Kusumawati, R.

    2018-03-01

    This research aims to describe portfolio optimization using clustering methods with ant colony approach. Two stock portfolios of LQ45 Indonesia is proposed based on the cluster results obtained from ant colony optimization (ACO). The first portfolio consists of assets with ant colony displacement opportunities beyond the defined probability limits of the researcher, where the weight of each asset is determined by mean-variance method. The second portfolio consists of two assets with the assumption that each asset is a cluster formed from ACO. The first portfolio has a better performance compared to the second portfolio seen from the Sharpe index.

  14. Unpredictably Stable

    DEFF Research Database (Denmark)

    Failla, Virgilio; Melillo, Francesca; Reichstein, Toke

    2014-01-01

    Is entrepreneurship a more stable career choice for high employment turnover individuals? We find that a transition to entrepreneurship induces a shift towards stayer behavior and identify job matching, job satisfaction and lock-in effects as main drivers. These findings have major implications...

  15. Making practice transparent through e-portfolio.

    Science.gov (United States)

    Stewart, Sarah M

    2013-12-01

    Midwives are required to maintain a professional portfolio as part of their statutory requirements. Some midwives are using open social networking tools and processes to develop an e-portfolio. However, confidentiality of patient and client data and professional reputation have to be taken into consideration when using online public spaces for reflection. There is little evidence about how midwives use social networking tools for ongoing learning. It is uncertain how reflecting in an e-portfolio with an audience impacts on learning outcomes. This paper investigates ways in which reflective midwifery practice be carried out using e-portfolio in open, social networking platforms using collaborative processes. Using an auto-ethnographic approach I explored my e-portfolio and selected posts that had attracted six or more comments. I used thematic analysis to identify themes within the textual conversations in the posts and responses posted by readers. The analysis identified that my collaborative e-portfolio had four themes: to provide commentary and discuss issues; to reflect and process learning; to seek advice, brainstorm and process ideas for practice, projects and research, and provide evidence of professional development. E-portfolio using open social networking tools and processes is a viable option for midwives because it facilitates collaborative reflection and shared learning. However, my experience shows that concerns about what people think, and client confidentiality does impact on the nature of open reflection and learning outcomes. I conclude this paper with a framework for managing midwifery statutory obligations using online public spaces and social networking tools. Copyright © 2013 Australian College of Midwives. Published by Elsevier Ltd. All rights reserved.

  16. RISK MANAGEMENT OF INVESTMENT PORTFOLIO BY FUTURE

    Directory of Open Access Journals (Sweden)

    K. Kerimov Alexandr

    2017-01-01

    Full Text Available The article considers the problem of the dynamic risk management of the investment portfolio using future con- tracts. The management starts with the concept of effective inhomogeneous portfolios, which contain futures together with underlying asserts. The effective portfolios are defined as the ones of the minimal dispersion with the expected return greater or equal to the specified value. Risk is measured by the probability of losing of a certain part of the portfolio value. The control parameters are the number of futures for each asset of portfolio, which is defined from the condition of effec- tiveness of portfolio and risk acceptability on each step.The effective adaptive strategies of portfolio risk management together with comparative analysis on a concrete example are presented. The proposed approach provides the forecast correction of the expected income and its variance for the assets with the emergence of new data. The financial time series are determined by volatility clustering, i.e. relative or absolute price changes tend to keep high or low magnitude for some time, with the result that clusters are created - periods of high or low volatility. Then adaptive estimate of correlational relationships between asset prices are essential because the degree of correlational relationship also changes in time. So the correlation of future and spot price changes considerably increases while approaching to performance of contracts. For taking into account of data instability of dispersion and correlation simple methods of volatility forecasting and correlation of relative changes of price data based on exponential smoothing are implemented.

  17. Exploring the role of assessment criteria during teachers' collaborative judgement processes of students' portfolios

    NARCIS (Netherlands)

    Schaaf, van der M.F.; Baartman, L.K.J.; Prins, F.J.

    2012-01-01

    Student portfolios are increasingly used for assessing student competences in higher education, but results about the construct validity of portfolio assessment are mixed. A prerequisite for construct validity is that the portfolio assessment is based on relevant portfolio content. Assessment

  18. Performance of salmon fishery portfolios across western North America.

    Science.gov (United States)

    Griffiths, Jennifer R; Schindler, Daniel E; Armstrong, Jonathan B; Scheuerell, Mark D; Whited, Diane C; Clark, Robert A; Hilborn, Ray; Holt, Carrie A; Lindley, Steven T; Stanford, Jack A; Volk, Eric C

    2014-12-01

    Quantifying the variability in the delivery of ecosystem services across the landscape can be used to set appropriate management targets, evaluate resilience and target conservation efforts. Ecosystem functions and services may exhibit portfolio-type dynamics, whereby diversity within lower levels promotes stability at more aggregated levels. Portfolio theory provides a framework to characterize the relative performance among ecosystems and the processes that drive differences in performance. We assessed Pacific salmon Oncorhynchus spp. portfolio performance across their native latitudinal range focusing on the reliability of salmon returns as a metric with which to assess the function of salmon ecosystems and their services to humans. We used the Sharpe ratio (e.g. the size of the total salmon return to the portfolio relative to its variability (risk)) to evaluate the performance of Chinook and sockeye salmon portfolios across the west coast of North America. We evaluated the effects on portfolio performance from the variance of and covariance among salmon returns within each portfolio, and the association between portfolio performance and watershed attributes. We found a positive latitudinal trend in the risk-adjusted performance of Chinook and sockeye salmon portfolios that also correlated negatively with anthropogenic impact on watersheds (e.g. dams and land-use change). High-latitude Chinook salmon portfolios were on average 2·5 times more reliable, and their portfolio risk was mainly due to low variance in the individual assets. Sockeye salmon portfolios were also more reliable at higher latitudes, but sources of risk varied among the highest performing portfolios. Synthesis and applications . Portfolio theory provides a straightforward method for characterizing the resilience of salmon ecosystems and their services. Natural variability in portfolio performance among undeveloped watersheds provides a benchmark for restoration efforts. Locally and regionally

  19. Performance of salmon fishery portfolios across western North America

    Science.gov (United States)

    Griffiths, Jennifer R; Schindler, Daniel E; Armstrong, Jonathan B; Scheuerell, Mark D; Whited, Diane C; Clark, Robert A; Hilborn, Ray; Holt, Carrie A; Lindley, Steven T; Stanford, Jack A; Volk, Eric C

    2014-01-01

    Quantifying the variability in the delivery of ecosystem services across the landscape can be used to set appropriate management targets, evaluate resilience and target conservation efforts. Ecosystem functions and services may exhibit portfolio-type dynamics, whereby diversity within lower levels promotes stability at more aggregated levels. Portfolio theory provides a framework to characterize the relative performance among ecosystems and the processes that drive differences in performance. We assessed Pacific salmon Oncorhynchus spp. portfolio performance across their native latitudinal range focusing on the reliability of salmon returns as a metric with which to assess the function of salmon ecosystems and their services to humans. We used the Sharpe ratio (e.g. the size of the total salmon return to the portfolio relative to its variability (risk)) to evaluate the performance of Chinook and sockeye salmon portfolios across the west coast of North America. We evaluated the effects on portfolio performance from the variance of and covariance among salmon returns within each portfolio, and the association between portfolio performance and watershed attributes. We found a positive latitudinal trend in the risk-adjusted performance of Chinook and sockeye salmon portfolios that also correlated negatively with anthropogenic impact on watersheds (e.g. dams and land-use change). High-latitude Chinook salmon portfolios were on average 2·5 times more reliable, and their portfolio risk was mainly due to low variance in the individual assets. Sockeye salmon portfolios were also more reliable at higher latitudes, but sources of risk varied among the highest performing portfolios. Synthesis and applications. Portfolio theory provides a straightforward method for characterizing the resilience of salmon ecosystems and their services. Natural variability in portfolio performance among undeveloped watersheds provides a benchmark for restoration efforts. Locally and regionally

  20. Portfolio optimization with skewness and kurtosis

    Science.gov (United States)

    Lam, Weng Hoe; Jaaman, Saiful Hafizah Hj.; Isa, Zaidi

    2013-04-01

    Mean and variance of return distributions are two important parameters of the mean-variance model in portfolio optimization. However, the mean-variance model will become inadequate if the returns of assets are not normally distributed. Therefore, higher moments such as skewness and kurtosis cannot be ignored. Risk averse investors prefer portfolios with high skewness and low kurtosis so that the probability of getting negative rates of return will be reduced. The objective of this study is to compare the portfolio compositions as well as performances between the mean-variance model and mean-variance-skewness-kurtosis model by using the polynomial goal programming approach. The results show that the incorporation of skewness and kurtosis will change the optimal portfolio compositions. The mean-variance-skewness-kurtosis model outperforms the mean-variance model because the mean-variance-skewness-kurtosis model takes skewness and kurtosis into consideration. Therefore, the mean-variance-skewness-kurtosis model is more appropriate for the investors of Malaysia in portfolio optimization.

  1. Declarative Modeling for Production Order Portfolio Scheduling

    Directory of Open Access Journals (Sweden)

    Banaszak Zbigniew

    2014-12-01

    Full Text Available A declarative framework enabling to determine conditions as well as to develop decision-making software supporting small- and medium-sized enterprises aimed at unique, multi-project-like and mass customized oriented production is discussed. A set of unique production orders grouped into portfolio orders is considered. Operations executed along different production orders share available resources following a mutual exclusion protocol. A unique product or production batch is completed while following a given activity’s network order. The problem concerns scheduling a newly inserted project portfolio subject to constraints imposed by a multi-project environment The answers sought are: Can a given project portfolio specified by its cost and completion time be completed within the assumed time period in a manufacturing system in hand? Which manufacturing system capability guarantees the completion of a given project portfolio ordered under assumed cost and time constraints? The considered problems regard finding a computationally effective approach aimed at simultaneous routing and allocation as well as batching and scheduling of a newly ordered project portfolio subject to constraints imposed by a multi-project environment. The main objective is to provide a declarative model enabling to state a constraint satisfaction problem aimed at multi-project-like and mass customized oriented production scheduling. Multiple illustrative examples are discussed.

  2. Stable particles

    International Nuclear Information System (INIS)

    Samios, N.P.

    1993-01-01

    I have been asked to review the subject of stable particles, essentially the particles that eventually comprised the meson and baryon octets. with a few more additions -- with an emphasis on the contributions made by experiments utilizing the bubble chamber technique. In this activity, much work had been done by the photographic emulsion technique and cloud chambers-exposed to cosmic rays as well as accelerator based beams. In fact, many if not most of the stable particles were found by these latter two techniques, however, the forte of the bubble chamber (coupled with the newer and more powerful accelerators) was to verify, and reinforce with large statistics, the existence of these states, to find some of the more difficult ones, mainly neutrals and further to elucidate their properties, i.e., spin, parity, lifetimes, decay parameters, etc

  3. Implementing portfolio in postgraduate general practice training. Benefits and recommendations.

    Science.gov (United States)

    Alotaibi, Fawaz S

    2012-10-01

    This paper presents a review to explore the literature focusing on portfolio in postgraduate general practice (GP) training, and to examine the impact of implementation of portfolio on learning process, as well as proposing recommendations for its implementation in postgraduate GP training. An electronic search was carried out on several databases for studies addressing portfolio in postgraduate GP training. Six articles were included to address specifically the effectiveness of portfolio in postgraduate GP training. Five of them described successful experiences of portfolio-based learning implementation. Only one article addressed portfolio-based assessment in postgraduate GP training. The existing evidence provides various benefits of professional portfolio-based learning. It does appear to have advantages of stimulating reflective learning, promoting proactive learning, and bridging the hospital experiences of the learners to GP. Moreover, the challenges to implementation of portfolio-based learning are often based on orientation and training of stakeholders.

  4. Minimum Variance Portfolios in the Brazilian Equity Market

    Directory of Open Access Journals (Sweden)

    Alexandre Rubesam

    2013-03-01

    Full Text Available We investigate minimum variance portfolios in the Brazilian equity market using different methods to estimate the covariance matrix, from the simple model of using the sample covariance to multivariate GARCH models. We compare the performance of the minimum variance portfolios to those of the following benchmarks: (i the IBOVESPA equity index, (ii an equally-weighted portfolio, (iii the maximum Sharpe ratio portfolio and (iv the maximum growth portfolio. Our results show that the minimum variance portfolio has higher returns with lower risk compared to the benchmarks. We also consider long-short 130/30 minimum variance portfolios and obtain similar results. The minimum variance portfolio invests in relatively few stocks with low βs measured with respect to the IBOVESPA index, being easily replicable by individual and institutional investors alike.

  5. Application of Portfolio Theory in Recovery Planning for Pacific Salmon.

    Science.gov (United States)

    Ecological applications of portfolio theory demonstrate the utility of this analytical framework for understanding the stability of commercial and indigenous Pacific Salmon fisheries. Portfolio theory also has the potential to aid in recovery planning for threatened and endangere...

  6. Teaching ePortfolios in Teacher Education

    Directory of Open Access Journals (Sweden)

    Peter Groißböck

    2012-11-01

    Full Text Available Especially when starting their career in the induction phase, young teachers need personal, profession-related and social support. Young teachers can get personal support with a mentoring system, profession-related support in seminars and social support with peer-learning. E-portfolios offer ways to accompany those learning processes and are a central tool for the documentation of individual student progress in the induction phase of teachers. In this article a concept of teaching e-portfolios for the induction phase is presented, showing a basic structure, essential conditions and possible risks. Additionally this article also includes practical thoughts to the use of e-portfolios in basic teacher education and further teacher training.

  7. Enhanced index tracking modelling in portfolio optimization

    Science.gov (United States)

    Lam, W. S.; Hj. Jaaman, Saiful Hafizah; Ismail, Hamizun bin

    2013-09-01

    Enhanced index tracking is a popular form of passive fund management in stock market. It is a dual-objective optimization problem, a trade-off between maximizing the mean return and minimizing the risk. Enhanced index tracking aims to generate excess return over the return achieved by the index without purchasing all of the stocks that make up the index by establishing an optimal portfolio. The objective of this study is to determine the optimal portfolio composition and performance by using weighted model in enhanced index tracking. Weighted model focuses on the trade-off between the excess return and the risk. The results of this study show that the optimal portfolio for the weighted model is able to outperform the Malaysia market index which is Kuala Lumpur Composite Index because of higher mean return and lower risk without purchasing all the stocks in the market index.

  8. Belief Propagation Algorithm for Portfolio Optimization Problems.

    Science.gov (United States)

    Shinzato, Takashi; Yasuda, Muneki

    2015-01-01

    The typical behavior of optimal solutions to portfolio optimization problems with absolute deviation and expected shortfall models using replica analysis was pioneeringly estimated by S. Ciliberti et al. [Eur. Phys. B. 57, 175 (2007)]; however, they have not yet developed an approximate derivation method for finding the optimal portfolio with respect to a given return set. In this study, an approximation algorithm based on belief propagation for the portfolio optimization problem is presented using the Bethe free energy formalism, and the consistency of the numerical experimental results of the proposed algorithm with those of replica analysis is confirmed. Furthermore, the conjecture of H. Konno and H. Yamazaki, that the optimal solutions with the absolute deviation model and with the mean-variance model have the same typical behavior, is verified using replica analysis and the belief propagation algorithm.

  9. A Bicriteria Approach Identifying Nondominated Portfolios

    Directory of Open Access Journals (Sweden)

    Javier Pereira

    2014-01-01

    Full Text Available We explore a portfolio constructive model, formulated in terms of satisfaction of a given set of technical requirements, with the minimum number of projects and minimum redundancy. An algorithm issued from robust portfolio modeling is adapted to a vector model, modifying the dominance condition as convenient, in order to find the set of nondominated portfolios, as solutions of a bicriteria integer linear programming problem. In order to improve the former algorithm, a process finding an optimal solution of a monocriteria version of this problem is proposed, which is further used as a first feasible solution aiding to find nondominated solutions more rapidly. Next, a sorting process is applied on the input data or information matrix, which is intended to prune nonfeasible solutions early in the constructive algorithm. Numerical examples show that the optimization and sorting processes both improve computational efficiency of the original algorithm. Their limits are also shown on certain complex instances.

  10. Robust Portfolio Optimization using CAPM Approach

    Directory of Open Access Journals (Sweden)

    mohsen gharakhani

    2013-08-01

    Full Text Available In this paper, a new robust model of multi-period portfolio problem has been developed. One of the key concerns in any asset allocation problem is how to cope with uncertainty about future returns. There are some approaches in the literature for this purpose including stochastic programming and robust optimization. Applying these techniques to multi-period portfolio problem may increase the problem size in a way that the resulting model is intractable. In this paper, a novel approach has been proposed to formulate multi-period portfolio problem as an uncertain linear program assuming that asset return follows the single-index factor model. Robust optimization technique has been also used to solve the problem. In order to evaluate the performance of the proposed model, a numerical example has been applied using simulated data.

  11. Portfolio Selection Using Level Crossing Analysis

    Science.gov (United States)

    Bolgorian, Meysam; Shirazi, A. H.; Jafari, G. R.

    Asset allocation is one of the most important and also challenging issues in finance. In this paper using level crossing analysis we introduce a new approach for portfolio selection. We introduce a portfolio index that is obtained based on minimizing the waiting time to receive known return and risk values. By the waiting time, we mean time that a special level is observed in average. The advantage of this approach is that the investors are able to set their goals based on gaining return and knowing the average waiting time and risk value at the same time. As an example we use our model for forming portfolio of stocks in Tehran Stock Exchange (TSE).

  12. Belief Propagation Algorithm for Portfolio Optimization Problems.

    Directory of Open Access Journals (Sweden)

    Takashi Shinzato

    Full Text Available The typical behavior of optimal solutions to portfolio optimization problems with absolute deviation and expected shortfall models using replica analysis was pioneeringly estimated by S. Ciliberti et al. [Eur. Phys. B. 57, 175 (2007]; however, they have not yet developed an approximate derivation method for finding the optimal portfolio with respect to a given return set. In this study, an approximation algorithm based on belief propagation for the portfolio optimization problem is presented using the Bethe free energy formalism, and the consistency of the numerical experimental results of the proposed algorithm with those of replica analysis is confirmed. Furthermore, the conjecture of H. Konno and H. Yamazaki, that the optimal solutions with the absolute deviation model and with the mean-variance model have the same typical behavior, is verified using replica analysis and the belief propagation algorithm.

  13. Portfolio Risk of International Diversification of Kosovo Pension Fund: A Historical Perspective

    Directory of Open Access Journals (Sweden)

    Florin Aliu

    2017-01-01

    Full Text Available Finance do not stand on static variables like exact sciences, they are changeable and influenced from human actions. The question where to invest funds, is a crucial task for financial managers. The study aimed at assessing the portfolio risk of different asset managers of the Kosovo Pension and Saving Trust. In general, the assessment has been categorized in two historical perspectives. The first phase is an assessment of the portfolio risk of the fund from 2003 to 2009 and the second phase is from 2003 to 2013. In general, portfolio risk in the second stage has shown a reduction as compared to the first stage. However, the return side shows also a reduction in the second phase than the first one. The overall risk of Kosovo Pension and Saving Trust has been in accepted range. Majority of money have been invested in stocks which automatically exposes huge risk on KPST portfolio, since it is proven that financial markets are not stable and they are prone to asset bubbles.

  14. Construction of uncertainty sets for portfolio selection problems

    OpenAIRE

    Wiechers, Christof

    2011-01-01

    While modern portfolio theory grounds on the trade-off between portfolio return and portfolio variance to determine the optimal investment decision, postmodern portfolio theory uses downside risk measures instead of the variance. Prominent examples are given by the risk measures Value-at-Risk and its coherent extension, Conditional Value-at-Risk. When avoiding distributional assumptions on the process that generates the risky assets' returns, historical return data or expert knowledge remain ...

  15. An Arbitrary Benchmark CAPM: One Additional Frontier Portfolio is Sufficient

    OpenAIRE

    Ekern, Steinar

    2008-01-01

    First draft: July 16, 2008 This version: October 7, 2008 The benchmark CAPM linearly relates the expected returns on an arbitrary asset, an arbitrary benchmark portfolio, and an arbitrary MV frontier portfolio. The benchmark is not required to be on the frontier and may be non-perfectly correlated with the frontier portfolio. The benchmark CAPM extends and generalizes previous CAPM formulations, including the zero beta, two correlated frontier portfolios, riskless augmented frontier, an...

  16. Log-Optimal Portfolio Selection Using the Blackwell Approachability Theorem

    OpenAIRE

    V'yugin, Vladimir

    2014-01-01

    We present a method for constructing the log-optimal portfolio using the well-calibrated forecasts of market values. Dawid's notion of calibration and the Blackwell approachability theorem are used for computing well-calibrated forecasts. We select a portfolio using this "artificial" probability distribution of market values. Our portfolio performs asymptotically at least as well as any stationary portfolio that redistributes the investment at each round using a continuous function of side in...

  17. Asset Allocation and Optimal Contract for Delegated Portfolio Management

    Science.gov (United States)

    Liu, Jingjun; Liang, Jianfeng

    This article studies the portfolio selection and the contracting problems between an individual investor and a professional portfolio manager in a discrete-time principal-agent framework. Portfolio selection and optimal contracts are obtained in closed form. The optimal contract was composed with the fixed fee, the cost, and the fraction of excess expected return. The optimal portfolio is similar to the classical two-fund separation theorem.

  18. ALPHA-BETA SEPARATION PORTFOLIO STRATEGIES FOR ISLAMIC FINANCE

    OpenAIRE

    Valentyn Khokhlov

    2016-01-01

    The purpose of this paper is to develop a mathematical alpha-beta separation model that can be used to create a core-satellite portfolio management strategy that complies with the principles of Islamic finance. Methodology. Core-satellite portfolio construction methodology is used to implement the alpha-beta separation approach, where the core part of the portfolio is managed using the tracking error minimization strategy, and the satellite part of the portfolio is managed using the mean-vari...

  19. [Portfolio in nursing school: myth or reality].

    Science.gov (United States)

    Garnier, Chantal; Marchand, Claire

    2012-09-01

    The portfolio is a new tool that has been introduced for the setting up of a new program concerning the nurse training. It aims at the would-be nurse to improve their self-reliance and make them assess themselves through a critical and reflexive approach. Indeed, the portfolio is mostly made up of sheets that the student has to fill in when describing and analysing several professional conditions. This study is about the assessment of the relevance in the portfolio that each nurse student owns in order to make them improve their reflexive practical. The work will, thus, suggest different ways of thinking and improving the use of the tool. 30 portfolios were chosen randomly among the 2nd year students, because 180 analysis were assessed thanks to a grid. 10 viewpoints from volunteer students were gathered after several semi directive interviews. The qualitative and evaluative analysis shows that the students develop the reflexive practical throughout their trainings. It seems, indeed, relevant to choose the portfolio in order to help the students to develop this way of working. According to them, there are several positive points such as the distance towards an event, an awareness-raising of the acquisition, feedbacks about the quality of the text by the trainer and an ability to assess oneself. Yet, even though it was created 18 months ago, there are some limits such as the too short period of mentoring and feedback, the lack of time for the students to write their analysis, the fact that it is not a practical tool, and the unclear description of assessment criteria. In order to fulfil the needs, some solutions are to be found. The portfolio is clearly helpful for the students who wish to increase/improve gradually their reflexive practice. Thus, the trainer's role is crucial, when he is a supervisor.

  20. Natural gas contracts in efficient portfolios

    Energy Technology Data Exchange (ETDEWEB)

    Sutherland, R.J.

    1994-12-01

    This report addresses the {open_quotes}contracts portfolio{close_quotes} issue of natural gas contracts in support of the Domestic Natural Gas and Oil Initiative (DGOI) published by the U.S. Department of Energy in 1994. The analysis is a result of a collaborative effort with the Public Service Commission of the State of Maryland to consider {open_quotes}reforms that enhance the industry`s competitiveness{close_quotes}. The initial focus of our collaborative effort was on gas purchasing and contract portfolios; however, it became apparent that efficient contracting to purchase and use gas requires a broader consideration of regulatory reform. Efficient portfolios are obtained when the holder of the portfolio is affected by and is responsible for the performance of the portfolio. Natural gas distribution companies may prefer a diversity of contracts, but the efficient use of gas requires that the local distribution company be held accountable for its own purchases. Ultimate customers are affected by their own portfolios, which they manage efficiently by making their own choices. The objectives of the DGOI, particularly the efficient use of gas, can be achieved when customers have access to suppliers of gas and energy services under an improved regulatory framework. The evolution of the natural gas market during the last 15 years is described to account for the changing preferences toward gas contracts. Long-term contracts for natural gas were prevalent before the early 1980s, primarily because gas producers had few options other than to sell to a single pipeline company, and this pipeline company, in turn, was the only seller to a gas distribution company.

  1. Portfolios Dominating Indices: Optimization with Second-Order Stochastic Dominance Constraints vs. Minimum and Mean Variance Portfolios

    Directory of Open Access Journals (Sweden)

    Neslihan Fidan Keçeci

    2016-10-01

    Full Text Available The paper compares portfolio optimization with the Second-Order Stochastic Dominance (SSD constraints with mean-variance and minimum variance portfolio optimization. As a distribution-free decision rule, stochastic dominance takes into account the entire distribution of return rather than some specific characteristic, such as variance. The paper is focused on practical applications of the portfolio optimization and uses the Portfolio Safeguard (PSG package, which has precoded modules for optimization with SSD constraints, mean-variance and minimum variance portfolio optimization. We have done in-sample and out-of-sample simulations for portfolios of stocks from the Dow Jones, S&P 100 and DAX indices. The considered portfolios’ SSD dominate the Dow Jones, S&P 100 and DAX indices. Simulation demonstrated a superior performance of portfolios with SD constraints, versus mean-variance and minimum variance portfolios.

  2. Product Portfolio Management: An Important Business Strategy

    Directory of Open Access Journals (Sweden)

    Doorasamy Mishelle

    2015-06-01

    Full Text Available The aim of this article is to provide reader with a comprehensive insight on the theories, empirical findings and models of Product Portfolio Management (PPM during new product development. This article will allow for an in-depth theoretical approach on PPM and demonstrate to managers the importance of adopting PPM as business strategy during decision making. The objective of this paper is to present a literature review of models, theories, approaches and findings on the relationship between Product Portfolio Management and new product development. Relevant statistical trends, historical developments, published opinion of major writers in this field will be presented to provide concrete evidence of the problem being discussed.

  3. Alternatives: the right medicine for your portfolio?

    Science.gov (United States)

    Doody, Dennis

    2006-01-01

    Because they often play an active role in developing their portfolio companies' strategies, private capital investment managers can add significant value to companies in their portfolio. The relative inefficiency of private capital markets can give savvy investors an edge that they can not so easily gain in the more efficient public markets. Originally created as a means to reduce volatility, hedge funds should not be seen as the high-risk bets that they are widely perceived to be. Most hedge funds actually are concerned with protecting downside risk.

  4. Portfolio optimization using fuzzy linear programming

    Science.gov (United States)

    Pandit, Purnima K.

    2013-09-01

    Portfolio Optimization (PO) is a problem in Finance, in which investor tries to maximize return and minimize risk by carefully choosing different assets. Expected return and risk are the most important parameters with regard to optimal portfolios. In the simple form PO can be modeled as quadratic programming problem which can be put into equivalent linear form. PO problems with the fuzzy parameters can be solved as multi-objective fuzzy linear programming problem. In this paper we give the solution to such problems with an illustrative example.

  5. Portfolio Optimization in a Semi-Markov Modulated Market

    International Nuclear Information System (INIS)

    Ghosh, Mrinal K.; Goswami, Anindya; Kumar, Suresh K.

    2009-01-01

    We address a portfolio optimization problem in a semi-Markov modulated market. We study both the terminal expected utility optimization on finite time horizon and the risk-sensitive portfolio optimization on finite and infinite time horizon. We obtain optimal portfolios in relevant cases. A numerical procedure is also developed to compute the optimal expected terminal utility for finite horizon problem

  6. Household portfolios and risk taking over age and time

    NARCIS (Netherlands)

    Bucciol, A.; Miniaci, R.

    2011-01-01

    We exploit the US Survey of Consumer Finances (SCF) from 1998 to 2007 to provide new insights on the evolution of US households’ willingness to undertake portfolio risk. Specifically, we consider four alternative measures of portfolio risk, based on two definitions of portfolio - a narrow one,

  7. Guidelines for Good Evaluation Practice with the ACUMEN portfolio

    DEFF Research Database (Denmark)

    Wildgaard, Lorna Elizabeth

    2014-01-01

    This document gives guidelines for using the ACUMEN Portfolio to evaluate academic researchers. The ACUMEN Portfolio is a way for Portfolio owners to highlight their achievements and to present themselves in the most positive way. It supplements the traditional CV because it highlights key achiev...

  8. Validity of portfolio assessment: which qualities determine ratings?

    NARCIS (Netherlands)

    Driessen, E.W.; Overeem, K.; Tartwijk, J. van; Vleuten, C.P.M. van der; Muijtjens, A.M.M.

    2006-01-01

    The portfolio is becoming increasingly accepted as a valuable tool for learning and assessment. The validity of portfolio assessment, however, may suffer from bias due to irrelevant qualities, such as lay-out and writing style. We examined the possible effects of such qualities in a portfolio

  9. Portfolio Development in Teacher Education and Educational Leadership.

    Science.gov (United States)

    Biddle, James

    The Ohio Consortium for Portfolio Development was established in 1988 as an interinstitutional research effort to integrate portfolio development into teacher education. A subphase focused on portfolio use by entry year teachers in a metropolitan school system. Personnel at Wright State University, Central State University, and the University of…

  10. Mentoring portfolio use in undergraduate and postgraduate medical education

    NARCIS (Netherlands)

    Dekker, Hanke; Driessen, Erik; Ter Braak, Edith; Scheele, Fedde; Slaets, Joris; Van Der Molen, Thys; Cohen-Schotanus, Janke

    2009-01-01

    Aim: Mentoring is widely acknowledged as being crucial for portfolio learning. The aim of this study is to examine how mentoring portfolio use has been implemented in undergraduate and postgraduate settings. Method: The results of interviews with six key persons involved in setting up portfolio use

  11. Asset Attribution Stability and Portfolio Construction: An Educational Example

    Science.gov (United States)

    Chong, James T.; Jennings, William P.; Phillips, G. Michael

    2014-01-01

    This paper illustrates how a third statistic from asset pricing models, the R-squared statistic, may have information that can help in portfolio construction. Using a traditional CAPM model in comparison to an 18-factor Arbitrage Pricing Style Model, a portfolio separation test is conducted. Portfolio returns and risk metrics are compared using…

  12. Professionalism, Portfolios and the Development of School Leaders.

    Science.gov (United States)

    Wildy, Helen; Wallace, John

    1998-01-01

    Describes how two reforms--portfolio culture and teacher professionalism--converge in a systemwide program for school leaders' professional development. Investigates use of portfolios to help (Australian) principals, deputy principals, and department heads improve their performance and accountability. Participants used portfolios as evidence of…

  13. Selection of a portfolio of R & D projects

    NARCIS (Netherlands)

    Casault, Sébastien; Groen, Arend J.; Linton, J.D.; Linton, Jonathan; Link, A.N.; Vonortas, N.S.

    2013-01-01

    While portfolios of research are increasingly discussed, a portfolio perspective is infrequently taken when selecting two or more projects. Consequently, this chapter considers the current state of knowledge in project and portfolio selection, identifies why we can and cannot apply knowledge from

  14. On the economic risk capital of portfolio insurance

    Directory of Open Access Journals (Sweden)

    Werner Hürlimann

    2004-09-01

    Full Text Available A formula for the conditional value-at-risk of classical portfolio insurance is derived and shown to be constant for sufficiently small loss probabilities. As illustrations, we discuss portfolio insurance for an equity market index using empirical data, and analyze the more general multivariate situation of a portfolio of risky assets.

  15. The current account as a dynamic portfolio choice problem

    OpenAIRE

    Didier, Tatiana; Lowenkron, Alexandre

    2009-01-01

    The current account can be understood as the outcome of investment decisions made by domestic and foreign investors. These decisions can be decomposed into a portfolio rebalancing and a portfolio growth component. This paper provides empirical evidence of the importance of portfolio rebalancing for the dynamics of the current account. The authors evaluate the predictions of a partial-equil...

  16. Stable isotopes

    International Nuclear Information System (INIS)

    Brazier, J.L.; Guinamant, J.L.

    1995-01-01

    According to the progress which has been realised in the technology of separating and measuring isotopes, the stable isotopes are used as preferable 'labelling elements' for big number of applications. The isotopic composition of natural products shows significant variations as a result of different reasons like the climate, the seasons, or their geographic origins. So, it was proved that the same product has a different isotopic composition of alimentary and agriculture products. It is also important in detecting the pharmacological and medical chemicals. This review article deals with the technology, like chromatography and spectrophotometry, adapted to this aim, and some important applications. 17 refs. 6 figs

  17. Stable Tetraquarks

    Energy Technology Data Exchange (ETDEWEB)

    Quigg, Chris [Fermilab

    2018-04-13

    For very heavy quarks, relations derived from heavy-quark symmetry imply novel narrow doubly heavy tetraquark states containing two heavy quarks and two light antiquarks. We predict that double-beauty states will be stable against strong decays, whereas the double-charm states and mixed beauty+charm states will dissociate into pairs of heavy-light mesons. Observing a new double-beauty state through its weak decays would establish the existence of tetraquarks and illuminate the role of heavy color-antitriplet diquarks as hadron constituents.

  18. Portfolios dominating indices: Optimization with second-order stochastic dominance constraints vs. minimum and mean variance portfolios

    OpenAIRE

    Keçeci, Neslihan Fidan; Kuzmenko, Viktor; Uryasev, Stan

    2016-01-01

    The paper compares portfolio optimization with the Second-Order Stochastic Dominance (SSD) constraints with mean-variance and minimum variance portfolio optimization. As a distribution-free decision rule, stochastic dominance takes into account the entire distribution of return rather than some specific characteristic, such as variance. The paper is focused on practical applications of the portfolio optimization and uses the Portfolio Safeguard (PSG) package, which has precoded modules for op...

  19. Portfolios Dominating Indices: Optimization with Second-Order Stochastic Dominance Constraints vs. Minimum and Mean Variance Portfolios

    OpenAIRE

    Neslihan Fidan Keçeci; Viktor Kuzmenko; Stan Uryasev

    2016-01-01

    The paper compares portfolio optimization with the Second-Order Stochastic Dominance (SSD) constraints with mean-variance and minimum variance portfolio optimization. As a distribution-free decision rule, stochastic dominance takes into account the entire distribution of return rather than some specific characteristic, such as variance. The paper is focused on practical applications of the portfolio optimization and uses the Portfolio Safeguard (PSG) package, which has precoded modules for op...

  20. Stable beams

    CERN Multimedia

    2015-01-01

    Stable beams: two simple words that carry so much meaning at CERN. When LHC page one switched from "squeeze" to "stable beams" at 10.40 a.m. on Wednesday, 3 June, it triggered scenes of jubilation in control rooms around the CERN sites, as the LHC experiments started to record physics data for the first time in 27 months. This is what CERN is here for, and it’s great to be back in business after such a long period of preparation for the next stage in the LHC adventure.   I’ve said it before, but I’ll say it again. This was a great achievement, and testimony to the hard and dedicated work of so many people in the global CERN community. I could start to list the teams that have contributed, but that would be a mistake. Instead, I’d simply like to say that an achievement as impressive as running the LHC – a machine of superlatives in every respect – takes the combined effort and enthusiasm of everyone ...

  1. Static vs stochastic optimization: A case study of FTSE Bursa Malaysia sectorial indices

    Science.gov (United States)

    Mamat, Nur Jumaadzan Zaleha; Jaaman, Saiful Hafizah; Ahmad, Rokiah@Rozita

    2014-06-01

    Traditional portfolio optimization methods in the likes of Markowitz' mean-variance model and semi-variance model utilize static expected return and volatility risk from historical data to generate an optimal portfolio. The optimal portfolio may not truly be optimal in reality due to the fact that maximum and minimum values from the data may largely influence the expected return and volatility risk values. This paper considers distributions of assets' return and volatility risk to determine a more realistic optimized portfolio. For illustration purposes, the sectorial indices data in FTSE Bursa Malaysia is employed. The results show that stochastic optimization provides more stable information ratio.

  2. Static vs stochastic optimization: A case study of FTSE Bursa Malaysia sectorial indices

    Energy Technology Data Exchange (ETDEWEB)

    Mamat, Nur Jumaadzan Zaleha; Jaaman, Saiful Hafizah; Ahmad, Rokiah Rozita [School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor (Malaysia)

    2014-06-19

    Traditional portfolio optimization methods in the likes of Markowitz' mean-variance model and semi-variance model utilize static expected return and volatility risk from historical data to generate an optimal portfolio. The optimal portfolio may not truly be optimal in reality due to the fact that maximum and minimum values from the data may largely influence the expected return and volatility risk values. This paper considers distributions of assets' return and volatility risk to determine a more realistic optimized portfolio. For illustration purposes, the sectorial indices data in FTSE Bursa Malaysia is employed. The results show that stochastic optimization provides more stable information ratio.

  3. Static vs stochastic optimization: A case study of FTSE Bursa Malaysia sectorial indices

    International Nuclear Information System (INIS)

    Mamat, Nur Jumaadzan Zaleha; Jaaman, Saiful Hafizah; Ahmad, Rokiah Rozita

    2014-01-01

    Traditional portfolio optimization methods in the likes of Markowitz' mean-variance model and semi-variance model utilize static expected return and volatility risk from historical data to generate an optimal portfolio. The optimal portfolio may not truly be optimal in reality due to the fact that maximum and minimum values from the data may largely influence the expected return and volatility risk values. This paper considers distributions of assets' return and volatility risk to determine a more realistic optimized portfolio. For illustration purposes, the sectorial indices data in FTSE Bursa Malaysia is employed. The results show that stochastic optimization provides more stable information ratio

  4. The Development of E-Portfolio Evaluation Criteria and Application to the Blackboard LMS E-Portfolio

    Science.gov (United States)

    McKenna, Gary F.; Stansfield, Mark H.

    2012-01-01

    The purpose of this paper is to develop e-portfolio evaluation criteria which will be used to review the Blackboard LMS e-portfolio being used at one Higher Education (HE) institution in the UK as evaluation criteria for reviewing e-portfolio provision does not exist in the literature. The approach taken was to initiate a wide literature search…

  5. Performance of finite order distribution-generated universal portfolios

    Science.gov (United States)

    Pang, Sook Theng; Liew, How Hui; Chang, Yun Fah

    2017-04-01

    A Constant Rebalanced Portfolio (CRP) is an investment strategy which reinvests by redistributing wealth equally among a set of stocks. The empirical performance of the distribution-generated universal portfolio strategies are analysed experimentally concerning 10 higher volume stocks from different categories in Kuala Lumpur Stock Exchange. The time interval of study is from January 2000 to December 2015, which includes the credit crisis from September 2008 to March 2009. The performance of the finite-order universal portfolio strategies has been shown to be better than Constant Rebalanced Portfolio with some selected parameters of proposed universal portfolios.

  6. Portfolios of adaptation investments in water management

    NARCIS (Netherlands)

    Aerts, Jeroen C.J.H.; Botzen, Wouter; Werners, Saskia E.

    2015-01-01

    This study explores how Modern Portfolio Theory (MPT) can guide investment decisions in integrated water resources management (IWRM) and climate change adaptation under uncertainty. The objectives of the paper are to: (i) explain the concept of diversification to reduce risk, as formulated in

  7. Robust Utility Maximization Under Convex Portfolio Constraints

    International Nuclear Information System (INIS)

    Matoussi, Anis; Mezghani, Hanen; Mnif, Mohamed

    2015-01-01

    We study a robust maximization problem from terminal wealth and consumption under a convex constraints on the portfolio. We state the existence and the uniqueness of the consumption–investment strategy by studying the associated quadratic backward stochastic differential equation. We characterize the optimal control by using the duality method and deriving a dynamic maximum principle

  8. A Dynamic Programming Approach to Constrained Portfolios

    DEFF Research Database (Denmark)

    Kraft, Holger; Steffensen, Mogens

    2013-01-01

    This paper studies constrained portfolio problems that may involve constraints on the probability or the expected size of a shortfall of wealth or consumption. Our first contribution is that we solve the problems by dynamic programming, which is in contrast to the existing literature that applies...

  9. Machine-based mapping of innovation portfolios

    NARCIS (Netherlands)

    de Visser, Matthias; Miao, Shengfa; Englebienne, Gwenn; Sools, Anna Maria; Visscher, Klaasjan

    2017-01-01

    Machine learning techniques show a great promise for improving innovation portfolio management. In this paper we experiment with different methods to classify innovation projects of a high-tech firm as either explorative or exploitative, and compare the results with a manual, theory-based mapping of

  10. Assessment and Planning Using Portfolio Analysis

    Science.gov (United States)

    Roberts, Laura B.

    2010-01-01

    Portfolio analysis is a simple yet powerful management tool. Programs and activities are placed on a grid with mission along one axis and financial return on the other. The four boxes of the grid (low mission, low return; high mission, low return; high return, low mission; high return, high mission) help managers identify which programs might be…

  11. Portfolio selection theory and wildlife management

    African Journals Online (AJOL)

    Theron and Van den Honert (2003) dealt with issues of risk and return in an agricultural context. ... By repeatedly solving (1) with different specified values of R an efficient frontier of portfolio .... the built–in solver of Microsoft® Excel [2].

  12. Equity Portfolio Management Using Option Price Information

    DEFF Research Database (Denmark)

    Christoffersen, Peter; Pan, Xuhui (Nick)

    We survey the recent academic literature that uses option-implied information to construct equity portfolios. Studies show that equity managers can earn a positive alpha by using information in individual equity options, by using stocks' exposure to information in market index options, and by usi...

  13. Currency Hedging for International Stock Portfolios

    NARCIS (Netherlands)

    F.A. de Roon (Frans); T.E. Nijman (Theo); B.J.M. Werker

    2000-01-01

    textabstractThis paper tests whether hedging currency risk improves the performance of international stock portfolios. We use a generalized performance measure which allows for investor-dependencies such as different utility functions and the presence of nontraded risks. In addition we show that an

  14. Digital portfolio og peer to peer feedback

    DEFF Research Database (Denmark)

    Jacobsen, Ditte; Bahrenscheer, Jesper Glarborg

    2017-01-01

    studerende og øget transfer mellem teori og praksis. Artiklen tager afsæt i erfaringerne fra udvikling, anvendelse og evaluering af den digitale portfolio og peer to peer feedback. Portfolien er digital og tilknyttet Metropols Learning Management System. De studerende uploader individuelt ugentligt deres...

  15. Portfolio selection using genetic algorithms | Yahaya | International ...

    African Journals Online (AJOL)

    In this paper, one of the nature-inspired evolutionary algorithms – a Genetic Algorithms (GA) was used in solving the portfolio selection problem (PSP). Based on a real dataset from a popular stock market, the performance of the algorithm in relation to those obtained from one of the popular quadratic programming (QP) ...

  16. Information Content of Mutual Fund Portfolio Disclosure

    NARCIS (Netherlands)

    Y. Wang (Yu)

    2011-01-01

    textabstractAcademic financial economists have been keenly interested in the value of active portfolio management since the seminal paper of Jensen (1968). This book examines the information advantages that active mutual fund managers attain in financial markets through an analysis of disclosed fund

  17. Reflective portfolios support learning, personal growth and ...

    African Journals Online (AJOL)

    Conclusion. Portfolios are an under-utilised assessment and self-development tool in postgraduate training. They allow students to self-assess their attainment of personal learning needs, professional growth and competency achievement and provide faculty with useful feedback on curriculum content, educational activities ...

  18. Digital Portfolio: a Strategy for Teachers Professional Development

    Directory of Open Access Journals (Sweden)

    R. Jans

    2008-03-01

    Full Text Available Teachers have to work with e-portfolio with theirstudents. This is a very demanding task because they neverwere educated with e-portfolio themselves. Therefore aEuropean Comenius project was submitted in 2005. In thisapproved project a whole week formation (april 2007 wasoffered to nineteen teachers from all over Europe. A yearlater they will meet again to see in what way the course hashad effects on their work with e-portfolio and students.Most interesting to notice was that the basic ICT-skills ofteachers are nowadays realized. However teachers are stillbusy with text and text-files. Rarely they uploadedmultimedia, like e.g. photo’s, video’s, youtube-movies, … intheir e-portfolio. The essential element of an e-portfolio, thepersonal and professional development plan, that forms thebackbone of the e-portfolio and offers the possibility tomake the e-portfolio an effective learning instrument wasunknown.

  19. Quantitative Portfolio Optimization Techniques Applied to the Brazilian Stock Market

    Directory of Open Access Journals (Sweden)

    André Alves Portela Santos

    2012-09-01

    Full Text Available In this paper we assess the out-of-sample performance of two alternative quantitative portfolio optimization techniques - mean-variance and minimum variance optimization – and compare their performance with respect to a naive 1/N (or equally-weighted portfolio and also to the market portfolio given by the Ibovespa. We focus on short selling-constrained portfolios and consider alternative estimators for the covariance matrices: sample covariance matrix, RiskMetrics, and three covariance estimators proposed by Ledoit and Wolf (2003, Ledoit and Wolf (2004a and Ledoit and Wolf (2004b. Taking into account alternative portfolio re-balancing frequencies, we compute out-of-sample performance statistics which indicate that the quantitative approaches delivered improved results in terms of lower portfolio volatility and better risk-adjusted returns. Moreover, the use of more sophisticated estimators for the covariance matrix generated optimal portfolios with lower turnover over time.

  20. The Optimal Allocation for Capital Preservation: an Evidence Australian Portfolio

    Directory of Open Access Journals (Sweden)

    Riznaldi Akbar

    2018-05-01

    Full Text Available This study analyzes optimal asset mix for Australian portfolios with the main investment objective for capital preservation. An alternative measure of risk of annual maximum drawdown has been used to reflect investor preference for capital preservation as opposed to conventional risk measure of standard deviation and variance. The contribution of the study is two folds. First, this study has put different perspective to look at portfolio risk in the view of capital preservation. Second, the optimal weight for asset class mix that minimizes annual maximum drawdown has been analyzed for the case of Australian market. The results suggest that for capital preservation, investors should expect lower returns and need to put a greater allocation on less risky assets such as cash or bond. To this end, cash and bond have provided stable long term annual returns along with contained level of annual maximum drawdowns. In contrast, when investors demand higher expected return, they should increase asset allocation into stocks (equities market at the expense of higher maximum drawdowns. Bahasa Indonesia Abstrak: Studi ini menganalisis bauran aset optimal untuk portofolio Australia dengan tujuan investasi utama untuk pelestarian modal. Ukuran alternatif risiko penarikan maksimum tahunan telah digunakan untuk mencerminkan preferensi investor untuk pelestarian modal dibandingkan dengan ukuran risiko konvensional standar deviasi dan varians. Kontribusi dari penelitian ini adalah dua lipatan. Pertama, penelitian ini telah menempatkan perspektif yang berbeda untuk melihat risiko portofolio dalam pandangan pelestarian modal. Kedua, bobot optimal untuk campuran kelas aset yang meminimalkan penarikan maksimum tahunan telah dianalisis untuk kasus pasar Australia. Hasilnya menunjukkan bahwa untuk pelestarian modal, investor harus mengharapkan pengembalian yang lebih rendah dan perlu menempatkan alokasi yang lebih besar pada aset yang kurang berisiko seperti uang tunai

  1. Beating the market with small portfolios: Evidence from Brazil

    Directory of Open Access Journals (Sweden)

    André A.P. Santos

    2015-01-01

    Full Text Available Optimal portfolios with a restriction on the number of assets, also referred to as cardinality-constrained portfolios, have been receiving attention in the literature due to its popularity among market practitioners and retail investors. In most cases, however, the interest is in proposing efficient optimization methods to solve the problem, with little or no attention to the characteristics of the resulting portfolio such as risk-adjusted performance and turnover. We address this question by implementing a tractable reformulation of the cardinality-constrained version of the minimum variance portfolio. We analyze the out-of-sample performance of cardinality-constrained portfolios according to alternative criteria and check the robustness of the results for portfolios with alternative number of assets and under alternative re-balancing frequencies. Our empirical application for the Brazilian equities market shows that cardinality-constrained minimum variance portfolios with very few assets, e.g. 3 stocks, can deliver statistically lower portfolio risk and higher Sharpe ratios in comparison to the market index. Similar results are obtained for constrained portfolios with 5 and 10 assets and under daily, weekly, and monthly re-balancing frequencies. Our evidence indicates that it is possible to obtain better risk-adjusted performance with fewer securities in the portfolio by using an improved allocation scheme.

  2. Large portfolio risk management and optimal portfolio allocation with dynamic elliptical copulas

    Directory of Open Access Journals (Sweden)

    Jin Xisong

    2018-02-01

    Full Text Available Previous research has focused on the importance of modeling the multivariate distribution for optimal portfolio allocation and active risk management. However, existing dynamic models are not easily applied to high-dimensional problems due to the curse of dimensionality. In this paper, we extend the framework of the Dynamic Conditional Correlation/Equicorrelation and an extreme value approach into a series of Dynamic Conditional Elliptical Copulas. We investigate risk measures such as Value at Risk (VaR and Expected Shortfall (ES for passive portfolios and dynamic optimal portfolios using Mean-Variance and ES criteria for a sample of US stocks over a period of 10 years. Our results suggest that (1 Modeling the marginal distribution is important for dynamic high-dimensional multivariate models. (2 Neglecting the dynamic dependence in the copula causes over-aggressive risk management. (3 The DCC/DECO Gaussian copula and t-copula work very well for both VaR and ES. (4 Grouped t-copulas and t-copulas with dynamic degrees of freedom further match the fat tail. (5 Correctly modeling the dependence structure makes an improvement in portfolio optimization with respect to tail risk. (6 Models driven by multivariate t innovations with exogenously given degrees of freedom provide a flexible and applicable alternative for optimal portfolio risk management.

  3. MARKOV CHAIN PORTFOLIO LIQUIDITY OPTIMIZATION MODEL

    Directory of Open Access Journals (Sweden)

    Eder Oliveira Abensur

    2014-05-01

    Full Text Available The international financial crisis of September 2008 and May 2010 showed the importance of liquidity as an attribute to be considered in portfolio decisions. This study proposes an optimization model based on available public data, using Markov chain and Genetic Algorithms concepts as it considers the classic duality of risk versus return and incorporating liquidity costs. The work intends to propose a multi-criterion non-linear optimization model using liquidity based on a Markov chain. The non-linear model was tested using Genetic Algorithms with twenty five Brazilian stocks from 2007 to 2009. The results suggest that this is an innovative development methodology and useful for developing an efficient and realistic financial portfolio, as it considers many attributes such as risk, return and liquidity.

  4. Towards a TENCompetence ePortfolio

    Directory of Open Access Journals (Sweden)

    Adriana J. Berlanga

    2008-07-01

    Full Text Available This article argues that the TENCompetence ePortfolio definition should integrate rhetorical, pedagogical, social, and technical perspectives. The rhetorical perspective is needed to show the learner’s competences, achievements and history; the pedagogical perspective aims at supporting learner’s self-reflection, through the definition of competences mastered, review and creation of (new competence development plans, and assessment of competences; the social perspective aims at fostering interaction and social help support; and the technical perspective aims at supporting the other three perspectives. Guiding principles for the design of the TENCompetence ePortfolio are provided, and the aforementioned perspectives detailed.

  5. A ubiquitous reflective e-portfolio architecture.

    Science.gov (United States)

    Forte, Marcos; de Souza, Wanderley L; da Silva, Roseli F; do Prado, Antonio F; Rodrigues, Jose F

    2013-11-01

    In nurse and in medicine courses, the use of reflective portfolios as a pedagogical tool is becoming a common practice; in the last years, this practice has gradually migrated from paper-based to electronic-based portfolios. Current approaches for reflective e-portfolios, however, do not widely operate at outdoor sites, where data networks are limited or nonexistent. Considering that many of the activities related to nurse and medicine courses relate to professional practices conducted in such conditions, these network shortcomings restrict the adoption of e-portfolios. The present study describes the requirements specification, design, implementation, and evaluation of the Ubiquitous Reflective E-Portfolio Architecture, a solution proposed to support the development of systems based on mobile and wired access for both online and offline operation. We have implemented a prototype named Professional Practice Module to evaluate the Ubiquitous Reflective E-Portfolio Architecture; the module was based on requirements observed during the professional practice, the paper-based portfolio in use, and related learning meetings in the Medicine Course of a Brazilian University. The evaluation of the system was carried out with a learning group of 2nd year students of the medicine course, who answered to extensive evaluation questionnaires. The prototype proved to be operational in the activities of the professional practice of the Medicine Course object of the study, including homework tasks, patient care, data sharing, and learning meetings. It also demonstrated to be versatile with respect to the availability of the computer network that, many times, was not accessible. Moreover, the students considered the module useful and easy to use, but pointed out difficulties about the keyboard and the display sizes of the netbook devices, and about their operational system. Lastly, most of the students declared preference for the electronic Professional Practice Module in internal

  6. Medicare Part D and Portfolio Choice.

    Science.gov (United States)

    Ayyagari, Padmaja; He, Daifeng

    2016-05-01

    This study evaluates the impact of medical expenditure risk on portfolio choice among the elderly. The risk of large medical expenditures can be substantial for elderly individuals and is only partially mitigated by access to health insurance. The presence of deductibles, copayments, and other cost-sharing mechanisms implies that medical spending risk can be viewed as an undiversifiable background risk. Economic theory suggests that increases in background risk reduce the optimal financial risk that an individual or household is willing to bear (Pratt and Zeckhauser 1987; Elmendorf and Kimball 2000). In this study, we evaluate this hypothesis by estimating the impact of the introduction of the Medicare Part D program, which significantly reduced prescription drug spending risk for seniors, on portfolio choice.

  7. Cosmic Visions Dark Energy: Small Projects Portfolio

    Energy Technology Data Exchange (ETDEWEB)

    Dawson, Kyle; Frieman, Josh; Heitmann, Katrin; Jain, Bhuvnesh; Kahn, Steve; Mandelbaum, Rachel; Perlmutter, Saul; Slosar, Anže

    2018-02-20

    Understanding cosmic acceleration is one of the key science drivers for astrophysics and high-energy physics in the coming decade (2014 P5 Report). With the Large Synoptic Survey Telescope (LSST) and the Dark Energy Spectroscopic Instrument (DESI) and other new facilities beginning operations soon, we are entering an exciting phase during which we expect an order of magnitude improvement in constraints on dark energy and the physics of the accelerating Universe. This is a key moment for a matching Small Projects portfolio that can (1) greatly enhance the science reach of these flagship projects, (2) have immediate scientific impact, and (3) lay the groundwork for the next stages of the Cosmic Frontier Dark Energy program. In this White Paper, we outline a balanced portfolio that can accomplish these goals through a combination of observational, experimental, and theory and simulation efforts.

  8. Parametric Immunization in Bond Portfolio Management

    OpenAIRE

    Bravo, Jorge; Fonseca, José

    2012-01-01

    In this paper, we evaluate the relative immunization performance of the multifactor parametric interest rate risk model based on the Nelson-Siegel-Svensson specification of the yield curve with that of standard benchmark investment strategies, using European Central Bank yield curve data in the period between January 3, 2005 and December 31, 2011. In addition, we examine the role of portfolio design in the success of immunization strategies, particularly the role of the maturit...

  9. Personalised Diversification Using Intent-Aware Portfolio

    OpenAIRE

    Wasilewski, Jacek; Hurley, Neil J.

    2017-01-01

    The intent-aware diversification framework considers a set of aspects associated with items to be recommended. A baseline recommendation is greedily re-ranked using an objective that promotes diversity across the aspects. In this paper the framework is analysed and a new intent-aware objective is derived that considers the minimum variance criterion, connecting the framework directly to portfolio diversification from finance. We derive an aspect model that supports the goal of minimum varianc...

  10. Geometrical framework for robust portfolio optimization

    OpenAIRE

    Bazovkin, Pavel

    2014-01-01

    We consider a vector-valued multivariate risk measure that depends on the user's profile given by the user's utility. It is constructed on the basis of weighted-mean trimmed regions and represents the solution of an optimization problem. The key feature of this measure is convexity. We apply the measure to the portfolio selection problem, employing different measures of performance as objective functions in a common geometrical framework.

  11. Nonparametric correlation models for portfolio allocation

    DEFF Research Database (Denmark)

    Aslanidis, Nektarios; Casas, Isabel

    2013-01-01

    This article proposes time-varying nonparametric and semiparametric estimators of the conditional cross-correlation matrix in the context of portfolio allocation. Simulations results show that the nonparametric and semiparametric models are best in DGPs with substantial variability or structural ...... currencies. Results show the nonparametric model generally dominates the others when evaluating in-sample. However, the semiparametric model is best for out-of-sample analysis....

  12. Product portfolio optimization based on substitution

    DEFF Research Database (Denmark)

    Myrodia, Anna; Moseley, A.; Hvam, Lars

    2017-01-01

    The development of production capabilities has led to proliferation of the product variety offered to the customer. Yet this fact does not directly imply increase of manufacturers' profitability, nor customers' satisfaction. Consequently, recent research focuses on portfolio optimization through...... substitution and standardization techniques. However when re-defining the strategic market decisions are characterized by uncertainty due to several parameters. In this study, by using a GAMS optimization model we present a method for supporting strategic decisions on substitution, by quantifying the impact...

  13. Patent portfolio structure for single technology companies

    OpenAIRE

    Hartwell, Ian P.

    2004-01-01

    Single technology companies (STCs) are defined in this thesis as companies that (a) have the fundamental rights to a new technology, (b) have development of that technology as their core competence, (c) seek to exploit that technology primarily by licensing the patent rights, and (d) are driven primarily by 'technology push'. These factors often result in much of the value of the STC residing in its patent portfolio. This in turn may place significant - and often conflicting - ...

  14. Efficient Cardinality/Mean-Variance Portfolios

    OpenAIRE

    Brito, R. Pedro; Vicente, Luís Nunes

    2014-01-01

    International audience; We propose a novel approach to handle cardinality in portfolio selection, by means of a biobjective cardinality/mean-variance problem, allowing the investor to analyze the efficient tradeoff between return-risk and number of active positions. Recent progress in multiobjective optimization without derivatives allow us to robustly compute (in-sample) the whole cardinality/mean-variance efficient frontier, for a variety of data sets and mean-variance models. Our results s...

  15. Labor Supply Flexibility and Portfolio Choice

    OpenAIRE

    Zvi Bodie; William Samuelson

    1989-01-01

    This paper develops a model showing that people who have flexibility in choosing how much to work will prefer to invest substantially more of their money in risky assets than if they had no such flexibility. Viewed in this way, labor supply flexibility offers insurance against adverse investment outcomes. The model provides support for the conventional wisdom that the young can tolerate more risk in their investment portfolios than the old. The model has other implications for the study of ho...

  16. Venture capital and efficiency of portfolio companies

    Directory of Open Access Journals (Sweden)

    A. Thillai Rajan

    2010-12-01

    Full Text Available Venture Capital (VC has emerged as the dominant source of finance for entrepreneurial and early stage businesses, and the Indian VC industry in particular has clocked the fastest growth rate globally. Academic literature reveals that VC funded companies show superior performance to non VC funded companies. However, given that venture capitalists (VCs select and fund only the best companies, how much credit can they take for the performance of the companies they fund? Do the inherent characteristics of the firm result in superior performance or do VCs contribute to the performance of the portfolio company after they have entered the firm? A panel that comprised VCs, an entrepreneur and an academic debated these and other research questions on the inter-relationships between VC funding and portfolio firm performance. Most empirical literature indicates that the value addition effect dominates the selection effect in accounting for the superior performance of VC funded companies. The panel discussion indicates that the context as well as the experience of the General Partners in the VC firms can influence the way VCs contribute to the efficiency of their portfolio companies.

  17. portfolio optimization based on nonparametric estimation methods

    Directory of Open Access Journals (Sweden)

    mahsa ghandehari

    2017-03-01

    Full Text Available One of the major issues investors are facing with in capital markets is decision making about select an appropriate stock exchange for investing and selecting an optimal portfolio. This process is done through the risk and expected return assessment. On the other hand in portfolio selection problem if the assets expected returns are normally distributed, variance and standard deviation are used as a risk measure. But, the expected returns on assets are not necessarily normal and sometimes have dramatic differences from normal distribution. This paper with the introduction of conditional value at risk ( CVaR, as a measure of risk in a nonparametric framework, for a given expected return, offers the optimal portfolio and this method is compared with the linear programming method. The data used in this study consists of monthly returns of 15 companies selected from the top 50 companies in Tehran Stock Exchange during the winter of 1392 which is considered from April of 1388 to June of 1393. The results of this study show the superiority of nonparametric method over the linear programming method and the nonparametric method is much faster than the linear programming method.

  18. Strategic management of the licence portfolio

    International Nuclear Information System (INIS)

    Killingland, Arild

    1998-01-01

    This presentation discusses the secondary market for purchase, sale and exchange of licences on the Norwegian Continental Shelf. An efficient secondary market is necessary for the operations on the Shelf to work well. Two examples of major transactions made by Statoil are given, Rubicon and Aasgard. Rubicon is the most comprehensive portfolio operation made on the Norwegian Shelf and probably the largest exchange transaction across national frontiers. Rubicon was undertaken because Statoil wanted to create bigger values in the portfolio by increasing the owner parts in core areas. One effect of Rubicon was its contribution to increasing the extent of the activities in the UK such that there is a basis for achieving Statoil's ambitions for the international core areas, which is that they shall be developed to produce 100.000 barrels of oil equivalents per day within a defined period. Statoil is presently positioned to develop core areas in five regions outside the Norwegian Shelf: the Caspian Sea, Venezuela, Angola, Gulf of Mexico and UK. The Aasgard licence exchange transactions were necessary to achieve a co-ordinated of the relevant licences and balanced owner positions in the fields that were established. The Aasgard field is being developed with a production ship for oil- and condensate production. Production will start in 1998. The gas will be produced from the year 2000, from a floating platform. Finally, there is a discussion of trends in the portfolio market

  19. Portfolio selection theory and wildlife management

    Directory of Open Access Journals (Sweden)

    JW Hearne

    2008-12-01

    Full Text Available With a strong commercial incentive driving the increase in game ranching in Southern Africa the need has come for more advanced management tools. In this paper the potential of Portfolio Selection Theory to determine the optimal mix of species on game ranches is explored. Land, or the food it produces, is a resource available to invest. We consider species as investment choices. Each species has its own return and risk profile. The question arises as to what proportion of the resource available should be invested in each species. We show that if the objective is to minimise risk for a given return, then the problem is analogous to the Portfolio Selection Problem. The method is then implemented for a typical game ranch. We show that besides risk and return objectives, it is necessary to include an additional objective so as to ensure sufficient species to maintain the character of a game ranch. Some other points of difference from the classical Portfolio Selection problem are also highlighted and discussed.

  20. Analysis of the energy portfolio for electricity generation

    International Nuclear Information System (INIS)

    Ramirez S, J. R.; Alonso V, G.; Esquivel E, J.

    2016-09-01

    The planning of electricity generation systems considers several factors that must be taken into account in order to design systems that are economical, reliable and sustainable. For this purpose, the Financial Portfolio Theory is applicable to the energy portfolio or the diversification of electricity generation technologies, such as is the combined cycle, wind, thermoelectric and nuclear. This paper presents an application of the Portfolio Theory to the national energy system, based on the total generation costs for each technology, which allows determining the average variance portfolio and the respective share of each of the electricity generation technologies considered, obtaining a portfolio of electricity generation with the maximum possible return for the risk taken in the investments. This paper describes the basic aspects of the Portfolio Theory and its methodology, in which matrices are implemented for the solution of the resulting Lagrange system. (Author)

  1. Portfolio at Tertiary Level – Lifelong Learning Tool

    Directory of Open Access Journals (Sweden)

    Galina Kavaliauskienė

    2011-04-01

    Full Text Available The use of electronic language portfolios has been preferable to the use of common paper portfolios for ease of application – there is no need for accumulating a number of files of written papers, which solves the problem of storing space and, to some extent, helps reduce students’ and teachers’ workload.The study investigated learners’ perceptions of employing electronic language portfolios for conducting various assignments in English for Specific Purposes. The research involved university students of different specializations. Learners’ experience of employing portfolios and opinions on their benefits for improving language skills have been analyzed and statistically treated using SPSS software. The results show that students are positive about application of electronic portfolios in ESP classes. The use of online portfolios for various assignments helps teachers foster students’ learning, encourages critical thinking, develops creativity, motivates learners to use digital technology, encourages collaboration of learners, and in the long run, leads to lifelong learning.

  2. Portfolios in Saudi medical colleges. Why and how?

    Directory of Open Access Journals (Sweden)

    Nadia M. Fida

    2016-03-01

    Full Text Available Over recent decades, the use of portfolios in medical education has evolved, and is being applied in undergraduate and postgraduate programs worldwide. Portfolios, as a learning process and method of documenting and assessing learning, is supported as a valuable tool by adult learning theories that stress the need for learners to be self-directed and to engage in experiential learning. Thoughtfully implemented, a portfolio provides learning experiences unequaled by any single learning tool. The credibility (validity and dependability (reliability of assessment through portfolios have been questioned owing to its subjective nature; however, methods to safeguard these features have been described in the literature. This paper discusses some of this literature, with particular attention to the role of portfolios in relation to self-reflective learning, provides an overview of current use of portfolios in undergraduate medical education in Saudi Arabia, and proposes research-based guidelines for its implementation and other similar contexts.

  3. Power from Perspective: Potential future United States energy portfolios

    International Nuclear Information System (INIS)

    Tonn, Bruce; Healy, K.C.; Gibson, Amy; Ashish, Ashutosh; Cody, Preston; Beres, Drew; Lulla, Sam; Mazur, Jim; Ritter, A.J.

    2009-01-01

    This paper presents United States energy portfolios for the year 2030, developed from seven different Perspectives. The Perspectives are characterized by different weights placed on fourteen defining values (e.g., cost, social acceptance). The portfolios were constructed to achieve three primary goals, energy independence, energy security, and greenhouse gas reductions. The portfolios are also evaluated over a comprehensive set of secondary criteria (e.g., economic growth, technical feasibility). It is found that very different portfolios based on very different defining values can achieve the three primary goals. Commonalities among the portfolios include reliance upon cellulosic ethanol, nuclear power, and energy efficiency to meet year 2030 energy demands. It is concluded that the US energy portfolio must be diverse and to achieve national energy goals will require an explicit statement of goals, a strong role for government, and coordinated action across society

  4. Comparative Analysis of Investment Funds Stocks-based Portfolios and BET Stocks-based Portfolios

    Directory of Open Access Journals (Sweden)

    Ion STANCU

    2010-04-01

    Full Text Available In this paper we intend to find out what is the best choice of stocks-based portfolio. The major goal is to find whether is more efficient to invest the whole capital in a single sector, like financial investments, or to create a diversified portfolio, taking into account assets from various economic sectors. Capital allocation will be based on the concept of cointegration. We have chosen this method because it can be applied on non-stationary data series, and, besides, it has the advantage of using the whole set of information provided by the financial assets. Another goal is to study how the portfolio structure adjusts if a shock occurs during the period under analysis so that to preserve a certain return or minimize a potential loss. The study will result in an investment solution in the Romanian capital market, even in the context of financial crisis.

  5. MODERN THEORETICAL APPROACHES CREDIT PORTFOLIO QUALITY MANAGEMENT OF COMMERCIAL BANK

    Directory of Open Access Journals (Sweden)

    Victoria Lisnic

    2016-12-01

    Full Text Available Credit portfolio management means the totality of financial and economic decisions realization aimed at achieving optimal ratio of performance indicators of loan portfolio. If low-quality loans increase, the reduction of productive assets volume and, respectively, profitability from banking lending. In extreme cases a such situation could lead to bank bankruptcy. At present bank loan portfolio quality assessment is an important component of bank management.

  6. An Artificial Bee Colony Algorithm for Uncertain Portfolio Selection

    OpenAIRE

    Chen, Wei

    2014-01-01

    Portfolio selection is an important issue for researchers and practitioners. In this paper, under the assumption that security returns are given by experts’ evaluations rather than historical data, we discuss the portfolio adjusting problem which takes transaction costs and diversification degree of portfolio into consideration. Uncertain variables are employed to describe the security returns. In the proposed mean-variance-entropy model, the uncertain mean value of the return is ...

  7. Household Portfolios and Risk Bearing over Age and Time

    OpenAIRE

    Alessandro Bucciol; Raffaele Miniaci

    2011-01-01

    We exploit the US Survey of Consumer Finances from 1998 to 2007 to study households’ portfolio risk bearing. We compare four alternative measures of risk, two based on a financial portfolio and two based on a broader portfolio also including – as illiquid assets – human capital, real estate, business wealth and related debt. The measures provide a different ranking of household risk bearing, but they consistently show that risk bearing fell after 2001, and it positively correlates with wealth...

  8. Choosing an Optimal e-Portfolio System for the Institution

    OpenAIRE

    YAMAMOTO, Toshiyuki

    2010-01-01

    Implementing an e-Portfolio system to enhance educational processes and outcomes has been becoming a hot issue among the Japanese universities that are ambitious in resetting their mission statements. In such universities, defining purposes, clearly stating what to be focused, learning processes, and expected outcomes are the critical issues in the development of their original e-Portfolio system. However, not all institutions are aware that e-Portfolio has advantages and disadvantages. One o...

  9. Portfolio analysis based on the example of Zagreb Stock Exchange

    OpenAIRE

    Bogdan, Sinisa; Baresa, Suzana; Ivanovic, Sasa

    2010-01-01

    In this paper we analyze the portfolio that was selected from the Zagreb Stock Exchange and also try to assess its risks and its future offerings that are relevant in making the decisions about investments. Through the work we will explain the importance of diversification and how the very diversification reduces risk. We will also analyze the systemic risk of individual stocks within the portfolio and the systemic risk of the given portfolio and explain its importance. Through regression ana...

  10. Digital portfolio for learning: A new communication channel for education

    Directory of Open Access Journals (Sweden)

    Judit Coromina

    2011-04-01

    Full Text Available Purpose: The Catalonian Government has the intention of introducing the digital portfolio before 2017, an initiative related to new approaches for learning. Taking in consideration the increasing interest for digital portfolio as a new communication channel for education, the article aims are: on the one hand to describe how the digital portfolio works and on the other hand, to identify a list of criteria that should be useful for educative centers to select the best application to create the digital portfolio according to their needs.Design/methodology/approach: Firstly, a theoretical framework for portfolio functioning is described. After, applications to support the digital portfolio are classified. Next, a requirement analysis on an ideal application to support the portfolio is made, according to those phases for the portfolio creation identified in the theoretical framework. Lastly, a list of criteria is established to select the application for creating the digital portfolio.Findings and Originality/value: The article contributes to structure the portfolio creation process in some stages and phases in a wider way that it is described in the literature. In addition, a list of criteria is defined to help educative centers to select the application for managing the portfolio that fits better with their objectives. These criteria have been obtained with an exhaustive methodology.Research limitations/implications: In order to put in practice the identified criteria it is proposed to complete the multi-criteria decision model in a new study. It should include processes to weigh criteria and define normalizations. Afterwards it would be able to analyze the value of the model studying the satisfaction for using it by a sample of educative centers.Practical implications: The list of criteria identified should facilitate the selection of the more adequate application to create the learning portfolio to the educative centers, according to their

  11. A method for minimum risk portfolio optimization under hybrid uncertainty

    Science.gov (United States)

    Egorova, Yu E.; Yazenin, A. V.

    2018-03-01

    In this paper, we investigate a minimum risk portfolio model under hybrid uncertainty when the profitability of financial assets is described by fuzzy random variables. According to Feng, the variance of a portfolio is defined as a crisp value. To aggregate fuzzy information the weakest (drastic) t-norm is used. We construct an equivalent stochastic problem of the minimum risk portfolio model and specify the stochastic penalty method for solving it.

  12. Forecast Correlation Coefficient Matrix of Stock Returns in Portfolio Analysis

    OpenAIRE

    Zhao, Feng

    2013-01-01

    In Modern Portfolio Theory, the correlation coefficients decide the risk of a set of stocks in the portfolio. So, to understand the correlation coefficients between returns of stocks, is a challenge but is very important for the portfolio management. Usually, the stocks with small correlation coefficients or even negative correlation coefficients are preferred. One can calculate the correlation coefficients of stock returns based on the historical stock data. However, in order to control the ...

  13. Methods of Choosing an Optimal Portfolio of Projects

    OpenAIRE

    Yakovlev, A.; Chernenko, M.

    2016-01-01

    This paper presents an analysis of existing methods for a portfolio of project optimization. The necessity for their improvement is shown. It is suggested to assess the portfolio of projects on the basis of the amount in the difference between the results and costs during development and implementation of selected projects and the losses caused by non-implementation or delayed implementation of projects that were not included in the portfolio. Consideration of capital and current costs compon...

  14. Portfolio Diversification in the South-East European Equity Markets

    OpenAIRE

    Zaimovic Azra; Arnaut-Berilo Almira; Mustafic Arnela

    2017-01-01

    Diversification potential enables investors to manage their risk and decrease risk exposure. Good diversification policy is a safety net that prevents a portfolio from losing its value. A well-diversified portfolio consists of different categories of property with low correlations, while highly correlated markets have the feature of low possibilities for diversification. The biggest riddle in the world of investments is to find the optimal portfolio within a set of available assets with limit...

  15. R functions development for stockPortfolio package

    OpenAIRE

    Luo, Rui

    2013-01-01

    Modern portfolio theory is a statistical framework to allocate investment assets properly, with the aim of reducing risk by diversification. In the past decades, a variety of index and group models (with different covariance assumption) have been proposed to optimize the portfolio, including Single Index Model, Constant Correlation Model, Multi-Group Model, and Multi-Index Model. An R package "stockPortfolio" is developed by Drs. Christou and Diez, and fully implemented Single Index Model, Co...

  16. Noisy covariance matrices and portfolio optimization II

    Science.gov (United States)

    Pafka, Szilárd; Kondor, Imre

    2003-03-01

    Recent studies inspired by results from random matrix theory (Galluccio et al.: Physica A 259 (1998) 449; Laloux et al.: Phys. Rev. Lett. 83 (1999) 1467; Risk 12 (3) (1999) 69; Plerou et al.: Phys. Rev. Lett. 83 (1999) 1471) found that covariance matrices determined from empirical financial time series appear to contain such a high amount of noise that their structure can essentially be regarded as random. This seems, however, to be in contradiction with the fundamental role played by covariance matrices in finance, which constitute the pillars of modern investment theory and have also gained industry-wide applications in risk management. Our paper is an attempt to resolve this embarrassing paradox. The key observation is that the effect of noise strongly depends on the ratio r= n/ T, where n is the size of the portfolio and T the length of the available time series. On the basis of numerical experiments and analytic results for some toy portfolio models we show that for relatively large values of r (e.g. 0.6) noise does, indeed, have the pronounced effect suggested by Galluccio et al. (1998), Laloux et al. (1999) and Plerou et al. (1999) and illustrated later by Laloux et al. (Int. J. Theor. Appl. Finance 3 (2000) 391), Plerou et al. (Phys. Rev. E, e-print cond-mat/0108023) and Rosenow et al. (Europhys. Lett., e-print cond-mat/0111537) in a portfolio optimization context, while for smaller r (around 0.2 or below), the error due to noise drops to acceptable levels. Since the length of available time series is for obvious reasons limited in any practical application, any bound imposed on the noise-induced error translates into a bound on the size of the portfolio. In a related set of experiments we find that the effect of noise depends also on whether the problem arises in asset allocation or in a risk measurement context: if covariance matrices are used simply for measuring the risk of portfolios with a fixed composition rather than as inputs to optimization, the

  17. Use of Portfolios by Medical Students: Significance of Critical Thinking

    Directory of Open Access Journals (Sweden)

    Samy A. Azer

    2008-07-01

    Full Text Available Portfolios have been used in the medical curriculum to evaluate difficult-to-assess areas such as students' attitudes, professionalism and teamwork. However, their use early in a problem-based learning (PBL course to foster deep learning and enhance students' self-directed learning has not been adequately studied. The aims of this paper are to: (1 understand the uses of portfolios and the rationale for using reflection in the early years of a PBL curriculum; (2 discuss how to introduce portfolios and encourage students' critical thinking skills, not just reflection; and (3 provide students with tips that could enhance their skills in constructing good portfolios.

  18. The true invariant of an arbitrage free portfolio

    Science.gov (United States)

    Schmidt, Anatoly B.

    2003-03-01

    It is shown that the arbitrage free portfolio paradigm being applied to a portfolio with an arbitrary number of shares N allows for the extended solution in which the option price F depends on N. However the resulting stock hedging expense Q= MF (where M is the number of options in the portfolio) does not depend on whether N is treated as an independent variable or as a parameter. Therefore the stock hedging expense is the true invariant of the arbitrage free portfolio paradigm.

  19. Towards a reference model for portfolio management for product development

    DEFF Research Database (Denmark)

    Larsson, Flemming

    2006-01-01

    The aim of this paper is to explore the concept of portfolio management for product development at company level. Departing from a combination of explorative interviews with industry professionals and a literature review a proposal for a reference model for portfolio management is developed....... The model consists of a set of defined and interrelated concepts which forms a coherent and consistent reference model that explicate the totality of the portfolio management concept at company level in terms of structure, processes and elements. The model simultaneously pinpoints, positions and integrates...... several central dimensions of portfolio management....

  20. Investment portfolio management from cybernetic point of view

    Science.gov (United States)

    Marchev, Angel, Jr.; Marchev, Angel

    2013-12-01

    The theory of investment portfolios is a well defined component of financial science. While sound in principle, it faces some setbacks in its real-world implementation. In this paper the authors propose a reformulation of the investment portfolio problem as a cybernetic system where the Investor is the controlling system and the portfolio is the controlled system. Also the portfolio controlling process should be dissected in several ordered phases, so that each phase is represented as a subsystem within the structure of the controlling system Investor.

  1. An Empirical Exploration of the Antecedents and Outcomes of NPD Portfolio Success

    NARCIS (Netherlands)

    Kester, L.; Hultink, H.J.; Griffin, A.

    2013-01-01

    The manuscript first combines theory and previous empirical findings to build a model of new product development portfolio success. Because relationships between product development portfolio decision-making effectiveness, portfolio success and firm-level success have not previously been

  2. 7 CFR 4290.760 - How a change in size or activity of a Portfolio Concern affects the RBIC and the Portfolio Concern.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 15 2010-01-01 2010-01-01 false How a change in size or activity of a Portfolio Concern affects the RBIC and the Portfolio Concern. 4290.760 Section 4290.760 Agriculture Regulations of... size or activity of a Portfolio Concern affects the RBIC and the Portfolio Concern. (a) Effect on RBIC...

  3. Students' reflections in a portfolio pilot: highlighting professional issues.

    Science.gov (United States)

    Haffling, Ann-Christin; Beckman, Anders; Pahlmblad, Annika; Edgren, Gudrun

    2010-01-01

    Portfolios are highlighted as potential assessment tools for professional competence. Although students' self-reflections are considered to be central in the portfolio, the content of reflections in practice-based portfolios is seldom analysed. To investigate whether students' reflections include sufficient dimensions of professional competence, notwithstanding a standardized portfolio format, and to evaluate students' satisfaction with the portfolio. Thirty-five voluntary final-year medical students piloted a standardized portfolio in a general practice (GP) attachment at Lund University, Sweden. Students' portfolio reflections were based upon documentary evidence from practice, and aimed to demonstrate students' learning. The reflections were qualitatively analysed, using a framework approach. Students' evaluations of the portfolio were subjected to quantitative and qualitative analysis. Among professional issues, an integration of cognitive, affective and practical dimensions in clinical practice was provided by students' reflections. The findings suggested an emphasis on affective issues, particularly on self-awareness of feelings, attitudes and concerns. In addition, ethical problems, clinical reasoning strategies and future communication skills training were subjects of several reflective commentaries. Students' reflections on their consultation skills demonstrated their endeavour to achieve structure in the medical interview by negotiation of an agenda for the consultation, keeping the interview on track, and using internal summarizing. The importance of active listening and exploration of patient's perspective was also emphasized. In students' case summaries, illustrating characteristic attributes of GP, the dominating theme was 'patient-centred care', including the patient-doctor relationship, holistic modelling and longitudinal continuity. Students were satisfied with the portfolio, but improved instructions were needed. A standardized portfolio in a

  4. ALPHA-BETA SEPARATION PORTFOLIO STRATEGIES FOR ISLAMIC FINANCE

    Directory of Open Access Journals (Sweden)

    Valentyn Khokhlov

    2016-11-01

    Full Text Available The purpose of this paper is to develop a mathematical alpha-beta separation model that can be used to create a core-satellite portfolio management strategy that complies with the principles of Islamic finance. Methodology. Core-satellite portfolio construction methodology is used to implement the alpha-beta separation approach, where the core part of the portfolio is managed using the tracking error minimization strategy, and the satellite part of the portfolio is managed using the mean-variance optimization strategy. Results of the portfolio dynamics clearly show that a significant amount of value was created by alpha-beta separation. The typical alpha ranges from 4% to 5.7%. The most aggressive portfolio strategies that allow short positions in the satellite portfolio work best with frequent rebalancing and benefit from the active bets. Smoothing technique that was introduced to decrease the portfolio turnover and stabilize its composition works better when active bets are less efficient, particularly with less frequent rebalancing. The best risk-return combinations are achieved with modest (3% to 10% allocation of the total portfolio to the satellite, and the remaining part (90% to 97% being managed in order to minimize the tracking error. Practical implications. The alpha-beta separation framework suggested in this paper can be used to enhance the portfolio management techniques for the hedge funds that operate under tight restrictions, particularly under the Islamic finance principles. The mathematical models developed in this paper allow practical implementation of the alphabeta separation concept. Originality/value. While the idea of alpha-beta separation existed in hedge fund management before, there was no comprehensive mathematical model under it, so its implementation was based on the ad hoc approach. This paper introduces such a mathematical model and demonstrates how portfolio managers can create value for their clients using it.

  5. Narratives of Learning: The Personal Portfolio in the Portfolio Approach to Teaching and Learning

    Science.gov (United States)

    Leslie, Paul; Camargo-Borges, Celiane

    2017-01-01

    This paper will explore how a portfolio approach to teaching and learning can help the educator incorporate unique forms of reflective practice into his or her daily work. By being able to express ideas more clearly to himself, the educator can better promote the relational construction of knowledge in his educational communities. This paper, as…

  6. Revitalizing Brands and Brand Portfolios: Essays on Brand and Brand Portfolio Management Strategies

    NARCIS (Netherlands)

    B.E. Depecik (Baris)

    2016-01-01

    markdownabstractHow should consumer products manufacturers and retailers keep their portfolio of brand offerings relevant and energetic when large numbers of new brands are continuously launched into a world of increasingly nonloyal customers with evolving needs? The harsh reality is, at a time when

  7. SEGMENTATION OF SME PORTFOLIO IN BANKING SYSTEM

    Directory of Open Access Journals (Sweden)

    Namolosu Simona Mihaela

    2013-07-01

    Full Text Available The Small and Medium Enterprises (SMEs represent an important target market for commercial Banks. In this respect, finding the best methods for designing and implementing the optimal marketing strategies (for this target are a continuous concern for the marketing specialists and researchers from the banking system; the purpose is to find the most suitable service model for these companies. SME portfolio of a bank is not homogeneous, different characteristics and behaviours being identified. The current paper reveals empirical evidence about SME portfolio characteristics and segmentation methods used in banking system. Its purpose is to identify if segmentation has an impact in finding the optimal marketing strategies and service model and if this hypothesis might be applicable for any commercial bank, irrespective of country/ region. Some banks are segmenting the SME portfolio by a single criterion: the annual company (official turnover; others are considering also profitability and other financial indicators of the company. In some cases, even the banking behaviour becomes a criterion. For all cases, creating scenarios with different thresholds and estimating the impact in profitability and volumes are two mandatory steps in establishing the final segmentation (criteria matrix. Details about each of these segmentation methods may be found in the paper. Testing the final matrix of criteria is also detailed, with the purpose of making realistic estimations. Example for lending products is provided; the product offer is presented as responding to needs of targeted sub segment and therefore being correlated with the sub segment characteristics. Identifying key issues and trends leads to further action plan proposal. Depending on overall strategy and commercial target of the bank, the focus may shift, one or more sub segments becoming high priority (for acquisition/ activation/ retention/ cross sell/ up sell/ increase profitability etc., while

  8. Currency Inconvertibility, Portfolio Balance and Relative Prices

    OpenAIRE

    Jorge Braga de Macedo

    1983-01-01

    This paper analyzes regimes of currency inconvertibility in the frame-work of a simple general equilibrium model where an officially-traded good,a smuggled good and a non-traded good are produced and consumed by residents,who hold domestic and foreign currency in their portfolios. It is shown that stability requires the effect of relative prices on demand for traded and non-traded goods to dominate their effect on asset demands and that a once-and-for-all devaluation does not change the curre...

  9. Electricity Market Optimization of Heat Pump Portfolio

    DEFF Research Database (Denmark)

    Biegel, Benjamin; Andersen, Palle; Pedersen, Tom S.

    2013-01-01

    We consider a portfolio of domestic heat pumps controlled by an aggregator. The aggregator is able to adjust the consumption of the heat pumps without affecting the comfort in the houses and uses this ability to shift the main consumption to hours with low electricity prices. Further......, the aggregator is able to place upward and downward regulating bids in the regulating power market based on the consumption flexibility. A simulation is carried out based on data from a Danish domestic heat pump project, historical spot prices, regulating power prices, and spot price predictions. The simulations...

  10. Balancing energy strategies in electricity portfolio management

    International Nuclear Information System (INIS)

    Moeller, Christoph; Rachev, Svetlozar T.; Fabozzi, Frank J.

    2011-01-01

    Traditional management of electricity portfolios is focused on the day-ahead market and futures of longer maturity. Within limits, market participants can however also resort to the balancing energy market to close their positions. In this paper, we determine strategic positions in the balancing energy market and identify corresponding economic incentives in an analysis of the German balancing energy demand. We find that those strategies allow an economically optimal starting point for real-time balancing and create a marketplace for flexible capacity that is more open than alternative marketplaces. The strategies we proffer in this paper we believe will contribute to an effective functioning of the electricity market. (author)

  11. Monetary Policy Shocks and Portfolio Choice

    OpenAIRE

    Fratzscher, Marcel; Saborowski, Christian; Straub, Roland

    2010-01-01

    The paper shows that monetary policy shocks exert a substantial effect on the size and composition of capital flows and the trade balance for the United States, with a 100 basis point easing raising net capital inflows and lowering the trade balance by 1% of GDP, and explaining about 20-25% of their time variation. Monetary policy easing causes positive returns to both equities and bonds. Yet such a monetary policy easing shock also induces a shift in portfolio composition out of equities and...

  12. EV Portfolio Management and Grid Impact Study

    DEFF Research Database (Denmark)

    Wu, Qiuwei; Jensen, Jakob Munch; Hansen, Lars Henrik

    2009-01-01

    is to determine the day‐ahead charging schedules of a fleet of EVs in order to minimize the EV charging cost with EV energy constraints taken into account. In order to investigate the benefits of the spot price based EV charging scenario, two more charging scenarios have been studied as well, i.e. plug......The EV portfolio management is to develop an EV charging management algorithm in order to determine EV charging schedules with the goal of utilizing renewalbe energy production for EV charging as much as possible and ensuring that EV energy requirements for driving needs are met. According...

  13. Portfolio Insurance Strategies by a Large Player

    OpenAIRE

    Kalife, Aymeric

    2004-01-01

    Market liquidity risk refers to the degree to which large size transactions can be carried out in a timely fashion with minimal impact on prices. Emphasized by the G10 report in 1993 and the BIS report in 1997, it is one factor of destabilization in the financial markets, as illustrated recently by the Asian crisis, the failure of the hedge fund LTCM during the Russian crisis. So in order to assess welfare implications of portfolio insurance strategies, it would be to estimate the dynamic hed...

  14. Digital portfolio som metode og pædagogik

    DEFF Research Database (Denmark)

    Toft, Hanne; Luplau Schnefeld, Mette

    2004-01-01

    Artiklen præsenterer erfaringer med digital portfolio som didaktik og metode. Fokus er på kobling mellem didaktiske læreprocesser på en grunduddannelse og så understøttelse af disse via brug af en digital portfolio. Portfolioen adskiller en række forskellige dokumentsamlinger i privat og offentlig...

  15. Portfolio i et lærings- og uddannelsesperspektiv

    DEFF Research Database (Denmark)

    adjunktpædagogikum og underviserkvalificeringsforløb ved andre uddannelser. Af Lone Krogh Indførelse af portfolio som pædagogisk redskab og som struktur for dokumentation af kompetence i kandidatuddannelse - potentialer og udfordringer. Af Annette Lorentsen og Birthe Lund. Et organisatorisk perspektiv på portfolio...

  16. Maximizing Consensus in Portfolio Selection in Multicriteria Group Decision Making

    NARCIS (Netherlands)

    Michael, Emmerich T. M.; Deutz, A.H.; Li, L.; Asep, Maulana A.; Yevseyeva, I.

    2016-01-01

    This paper deals with a scenario of decision making where a moderator selects a (sub)set (aka portfolio) of decision alternatives from a larger set. The larger the number of decision makers who agree on a solution in the portfolio the more successful the moderator is. We assume that decision makers

  17. Contradictions in Portfolio Careers: Work Design and Client Relations

    Science.gov (United States)

    Fenwick, Tara J.

    2006-01-01

    Purpose: The paper aims to explore "Portfolio work", an emerging form of flexible self-employment, which has been identified as significant but under-researched. This paper also seeks to explore the challenges and benefits of portfolio work from the perspective of individuals' experiences. Design/methodology/approach: The argument draws from a…

  18. Using the Teaching Portfolio to Anticipate Programmatic Assessment

    Science.gov (United States)

    Price, Kenneth R.

    2013-01-01

    Portfolios have long been a staple in professional writing courses: both in employment materials assignments and in entire classes that ask students to reflect on their experiential learning. Portfolios may also be used effectively in business communication teaching methods courses. This article details the justification and methodology for having…

  19. ePortfolio as Pedagogy: Threshold Concepts for Curriculum Design

    Science.gov (United States)

    Lewis, Lyn

    2017-01-01

    The ePortfolio has been used in initial teacher education for its storage and presentation functions; however, its use as a pedagogic tool to enhance learning outcomes is less common. This study explored students' perceptions of ePortfolio and their learning in a Bachelor of Education (primary) programme at a New Zealand university. The research…

  20. Optimal wind power deployment in Europe. A portfolio approach

    International Nuclear Information System (INIS)

    Roques, Fabien; Hiroux, Celine; Saguan, Marcelo

    2010-01-01

    Geographic diversification of wind farms can smooth out the fluctuations in wind power generation and reduce the associated system balancing and reliability costs. The paper uses historical wind production data from five European countries (Austria, Denmark, France, Germany, and Spain) and applies the Mean-Variance Portfolio theory to identify cross-country portfolios that minimise the total variance of wind production for a given level of production. Theoretical unconstrained portfolios show that countries (Spain and Denmark) with the best wind resource or whose size contributes to smoothing out the country output variability dominate optimal portfolios. The methodology is then elaborated to derive optimal constrained portfolios taking into account national wind resource potential and transmission constraints and compare them with the projected portfolios for 2020. Such constraints limit the theoretical potential efficiency gains from geographical diversification, but there is still considerable room to improve performance from actual or projected portfolios. These results highlight the need for more cross-border interconnection capacity, for greater coordination of European renewable support policies, and for renewable support mechanisms and electricity market designs providing locational incentives. Under these conditions, a mechanism for renewables credits trading could help aligning wind power portfolios with the theoretically efficient geographic dispersion. (author)

  1. A Real Options Perspective On R&D Portfolio Diversification

    NARCIS (Netherlands)

    S. van Bekkum (Sjoerd); H.P.G. Pennings (Enrico); J.T.J. Smit (Han)

    2009-01-01

    textabstractThis paper shows that the conditionality of investment decisions in R&D has a critical impact on portfolio risk, and implies that traditional diversification strategies should be reevaluated when a portfolio is constructed. Real option theory argues that research projects have

  2. A Real Options Perspective on R&D Portfolio Diversification

    NARCIS (Netherlands)

    S. van Bekkum (Sjoerd); H.P.G. Pennings (Enrico); J.T.J. Smit (Han)

    2008-01-01

    textabstractThis paper shows that the presence of conditional staging in R&D (Research & Development) has a critical impact on portfolio risk, and changes diversification arguments when a portfolio is constructed. When R&D projects exhibit option-like characteristics, correlation between projects

  3. Relationships Between Risks in an IT Project Development Portfolio

    NARCIS (Netherlands)

    Kusters, R.J.; Postema, J.J.; Trienekens, J.J.M.; Lavazza, L.; Oberhauser, R.; Martin, A.; Hassine, J.; Gebhart, M.; Jäntti, M.

    2013-01-01

    More and more it is seen that IT (Information Technology) projects are managed as a whole as part of a IT project portfolio. As one of the arguments for doing so, risk management at the portfolio level was identified as one of the advantages that could benefit from this. This was based on the notion

  4. Electricity portfolio management : optimal peak/off-peak allocations

    NARCIS (Netherlands)

    Huisman, R.; Mahieu, R.J.; Schlichter, F.

    2009-01-01

    Electricity purchasers manage a portfolio of contracts in order to purchase the expected future electricity consumption profile of a company or a pool of clients. This paper proposes a mean-variance framework to address the concept of structuring the portfolio and focuses on how to optimally

  5. Electricity Portfolio Management: Optimal Peak / Off-Peak Allocations

    NARCIS (Netherlands)

    R. Huisman (Ronald); R.J. Mahieu (Ronald); F. Schlichter (Felix)

    2007-01-01

    textabstractElectricity purchasers manage a portfolio of contracts in order to purchase the expected future electricity consumption profile of a company or a pool of clients. This paper proposes a mean-variance framework to address the concept of structuring the portfolio and focuses on how to

  6. Selection of risk reduction portfolios under interval-valued probabilities

    International Nuclear Information System (INIS)

    Toppila, Antti; Salo, Ahti

    2017-01-01

    A central problem in risk management is that of identifying the optimal combination (or portfolio) of improvements that enhance the reliability of the system most through reducing failure event probabilities, subject to the availability of resources. This optimal portfolio can be sensitive with regard to epistemic uncertainties about the failure events' probabilities. In this paper, we develop an optimization model to support the allocation of resources to improvements that mitigate risks in coherent systems in which interval-valued probabilities defined by lower and upper bounds are employed to capture epistemic uncertainties. Decision recommendations are based on portfolio dominance: a resource allocation portfolio is dominated if there exists another portfolio that improves system reliability (i) at least as much for all feasible failure probabilities and (ii) strictly more for some feasible probabilities. Based on non-dominated portfolios, recommendations about improvements to implement are derived by inspecting in how many non-dominated portfolios a given improvement is contained. We present an exact method for computing the non-dominated portfolios. We also present an approximate method that simplifies the reliability function using total order interactions so that larger problem instances can be solved with reasonable computational effort. - Highlights: • Reliability allocation under epistemic uncertainty about probabilities. • Comparison of alternatives using dominance. • Computational methods for generating the non-dominated alternatives. • Deriving decision recommendations that are robust with respect to epistemic uncertainty.

  7. Student Portfolios as Windows into Intercultural Knowledge and Knowing

    Science.gov (United States)

    Johnson, Esko; Hynynen, Nina

    2018-01-01

    This research paper deals with intercultural knowledge and knowing as displayed in higher education student portfolios. The portfolios were written by student pairs taking a global education course at Centria University of Applied Sciences, Finland, during seven academic years. Conceptual metaphor theory and metaphor analysis were utilised to…

  8. Vacation portfolio decisions: analysis using a Bayesian belief network

    NARCIS (Netherlands)

    Grigolon, A.B.; Kemperman, A.D.A.M.; Timmermans, H.J.P.

    2011-01-01

    The aim of this study is to analyse the extent to which vacation portfolio decisions are influenced by socio-demographic characteristics. A vacation portfolio involves interdependent decisions related to the facets that make the vacation trip, including transport mode, accommodation, destination,

  9. Validation of Competencies in E-Portfolios: A Qualitative Analysis

    Science.gov (United States)

    Zawacki-Richter, Olaf; Hanft, Anke; Baecker, Eva Maria

    2011-01-01

    This paper uses the example of an Internet-based advanced studies course to show how the portfolio method, as a competence-based form of examination, can be integrated in a blended learning design. Within the framework of a qualitative analysis of project portfolios, we examined which competencies are documented and how students reflected on their…

  10. Using ePortfolios to Encourage Responsible Feedback

    Science.gov (United States)

    Morales, Lucia; Soler-Dominguez, Amparo

    2015-01-01

    This article aims to look at the value that ePortfolios can add to business studies, specifically in the financial field. In order to answer the question, "Do ePortfolios contribute to the development and enhancement of responsible feedback in the classroom?", the study analyzed the work done by postgraduate students pursuing a Master's…

  11. Transparency in the ePortfolio Creation Process

    Science.gov (United States)

    Jones, Stephanie A.; Downs, Elizabeth; Jenkins, Stephen J.

    2015-01-01

    This paper presents the findings of a study examining the effect of transparency on the ePortfolio creation process. The purpose of the study was to examine whether increased awareness of other students' ePortfolios through the implementation of transparency and peer review would positively affect the quality of performance of school library media…

  12. Digital Portfolios: Powerful Marketing Tool for Communications Students

    Science.gov (United States)

    Nikirk, Martin

    2008-01-01

    A digital portfolio is a powerful marketing tool for young people searching for employment in the communication or interactive media fields. With a digital portfolio, students can demonstrate their skills at working with software tools, demonstrate appropriate use of materials, explain technical procedures, show an understanding of processes and…

  13. E-Portfolios in Teacher Development: The Better Option?

    Science.gov (United States)

    Xerri, Daniel; Campbell, Caroline

    2016-01-01

    Following the introduction of print portfolios for teacher development in the ELT sector in Malta, this article discusses the findings of a small-scale study that highlighted teachers' views in relation to the possible future implementation of e-portfolios. It shows that while aware of the benefits of this tool, teachers have concerns about their…

  14. Portfolio Management with Stochastic Interest Rates and Inflation Ambiguity

    DEFF Research Database (Denmark)

    Munk, Claus; Rubtsov, Alexey Vladimirovich

    2014-01-01

    prices. The investor is ambiguous about the inflation model and prefers a portfolio strategy which is robust to model misspecification. Ambiguity about the inflation dynamics is shown to affect the optimal portfolio fundamentally different than ambiguity about the price dynamics of traded assets...

  15. The Role of e-Portfolios in Supporting Productive Learning

    Science.gov (United States)

    Yang, Min; Tai, Mui; Lim, Cher Ping

    2016-01-01

    e-Portfolios are a form of authentic assessment with formative functions that include showcasing and sharing learning artifacts, documenting reflective learning processes, connecting learning across various stages and enabling frequent feedback for improvements. This paper examines how e-portfolios take up these formative roles to support…

  16. 2010-11 Research Portfolio: Research & Development Division

    Science.gov (United States)

    Educational Testing Service, 2010

    2010-01-01

    This document describes the breadth of the research that the ETS (Educational Testing Service) Research & Development division is conducting in 2010. This portfolio will be updated in early 2011 to reflect changes to existing projects and new projects that were added after this document was completed. The research described in this portfolio falls…

  17. Discourses and Theoretical Assumptions in IT Project Portfolio Management

    DEFF Research Database (Denmark)

    Hansen, Lars Kristian; Kræmmergaard, Pernille

    2014-01-01

    DISCOURSES AND THEORETICAL ASSUMPTIONS IN IT PROJECT PORTFOLIO MANAGEMENT: A REVIEW OF THE LITERATURE These years increasing interest is put on IT project portfolio management (IT PPM). Considering IT PPM an interdisciplinary practice, we conduct a concept-based literature review of relevant...

  18. Functions of the learning portfolio in student teachers' learning process

    NARCIS (Netherlands)

    Mansvelder-Longayroux, D.D.; Beijaard, D.; Verloop, N.; Vermunt, J.D.

    2007-01-01

    In this study, we aimed to develop a framework that could be used to describe the value of the learning portfolio for the learning process of individual student teachers. Retrospective interviews with 21 student teachers were used, as were their portfolio-evaluation reports on their experiences of

  19. Functions of the learning portfolio in student teachers' learning process

    NARCIS (Netherlands)

    Mansvelder-Longayroux, Desiree D.; Beijaard, Douwe; Verloop, Nico; Vermunt, Jan D.

    In this study, we aimed to develop a framework that could be used to describe the value of the learning portfolio for the learning process of individual student teachers. Retrospective interviews with 21 student teachers were used, as were their portfolio-evaluation reports on their experiences Of

  20. Portfolio selection theory and wildlife management | Hearne | ORiON

    African Journals Online (AJOL)

    Portfolio selection theory and wildlife management. ... Abstract. With a strong commercial incentive driving the increase in game ranching in Southern Africa the need has come for more advanced management tools. ... Keywords: Portfolio selection, multi-objective optimisation, game ranching, wildlife management.

  1. Portfolio selection between rational and behavioral theories emergent markets case

    Directory of Open Access Journals (Sweden)

    Bouri Abdelfatteh

    2012-08-01

    Full Text Available The aim of this paper is to explore the determinants of Portfolio Choice under the investors, professionals and academics’ perception. We introduce an approach based on cognitive mapping technique with a series of semi-directive interviews. Among a sample of 30 Tunisian individuals, we propose tow different frameworks: a mean-variance framework and a behavioral framework. Each framework is oriented to capture the effect of some concepts as proposed by the mean-variance portfolio theory and the behavioral portfolio theory on the portfolio choice decision. The originality of this research paper is guaranteed since it traits the behavioral portfolio choice in emergent markets. In the best of our knowledge this is the first study in the Tunisian context that explores such area of research. Ours results show that the Tunisian investors behave as it prescribed by the behavioral portfolio theory. They use some concepts proposed by the rational mean-variance theory of portfolio choice but they are affected by their emotions and some others cognitive bias when constructing and managing they portfolio of assets.

  2. Portfolio optimization of the construction sector companies in ...

    African Journals Online (AJOL)

    The objective of this paper is to construct the optimal portfolio that will minimize the portfolio risk and can achieve the investors target rate of return by using the mean-semi absolute deviation model. The data of this study comprises 20 construction sector companies that listed in Malaysia stock market from July 2011 until ...

  3. Evaluating the Validity of Portfolio Assessments for Licensure Decisions

    Science.gov (United States)

    Wilson, Mark; Hallam, P. J.; Pecheone, Raymond; Moss, Pamela A.

    2014-01-01

    This study examines one part of a validity argument for portfolio assessments of teaching practice used as an indicator of teaching quality to inform a licensure decision. We investigate the relationship among portfolio assessment scores, a test of teacher knowledge (ETS's Praxis I and II), and changes in student achievement (on…

  4. A Holocaust Exhibit ePortfolio: Actively Engaging Students

    Science.gov (United States)

    Jordine, Melissa

    2015-01-01

    California State University, Fresno is currently considering implementing an ePortfolio requirement for all undergraduate students. The ePortfolio requirement would be introduced primarily to engage students in a HIP (high impact practice) but would also be used for assessment purposes. As a faculty member and a member of the CSU Fresno ePortfolio…

  5. Forecasting Value-at-Risk Under Temporal and Portfolio Aggregation

    NARCIS (Netherlands)

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

    2016-01-01

    textabstractWe examine the impact of temporal and portfolio aggregation on the quality of Value-at-Risk (VaR) forecasts over a horizon of ten trading days for a well-diversified portfolio of stocks, bonds and alternative investments. The VaR forecasts are constructed based on daily, weekly or

  6. Portfolio allocation under the vendor managed inventory: A Markov ...

    African Journals Online (AJOL)

    Portfolio allocation under the vendor managed inventory: A Markov decision process. ... Journal of Applied Sciences and Environmental Management ... This study provides a review of Markov decision processes and investigates its suitability for solutions to portfolio allocation problems under vendor managed inventory in ...

  7. The Effects of Portfolio Assessment on Writing of EFL Students

    Science.gov (United States)

    Nezakatgoo, Behzad

    2011-01-01

    The primary focus of this study was to determine the effect of portfolio assessment on final examination scores of EFL students' writing skill. To determine the impact of portfolio-based writing assessment 40 university students who enrolled in composition course were initially selected and divided randomly into two experimental and control…

  8. Can One Portfolio Measure the Six ACGME General Competencies?

    Science.gov (United States)

    Jarvis, Robert M.; O'Sullivan, Patricia S.; McClain, Tina; Clardy, James A.

    2004-01-01

    Objective: To determine that portfolios, useable by any program, can provide needed evidence of resident performance within the ACGME general competencies. Methods: Eighteen residents constructed portfolios with selected entries from thirteen psychiatric skills. Two raters assessed whether entries reflected resident performance within the general…

  9. Learning Styles and e-portfolio in Nursing Education

    DEFF Research Database (Denmark)

    Nielsen, Kirsten; Pedersen, Birthe D.; Helms, Niels Henrik

    Purpose of the study Research from UK and USA indicates that an e-portfolio facilitates a stronger connection between theoretical and clinical studies in Nursing Education. It helps students reflect over practice and their own skills. Yet other results show that an e-portfolio is a time consumer....... Thus, the aim of this project is to examine the effects of an e-portfolio on nursing students learning of patients with chronic illness during their clinical practice, and to investigate if it makes any difference in facilitating four learning styles: the activist, the reflector, the theorist...... through observations in clinical settings, narrative interviews, and print-outs from the students e-portfolio. Findings So far a pilot project with a questionnaire shows that 84% of the students and nurses reported that the e-portfolio has a positive effect on students learning in clinical settings...

  10. Twelve tips for successful e-tutoring using electronic portfolios.

    Science.gov (United States)

    Deketelaere, Ann; Degryse, Jan; De Munter, Agnes; De Leyn, Paul

    2009-06-01

    E-tutoring by means of a digital portfolio offers personal guidance in a context in which regular face-to-face contact between supervisor and student is difficult. However, implementing e-tutoring in practice is not always straightforward. This article investigates the conditions for successful e-tutoring of electronic portfolios. A combination of three methods is used: our own experience with e-tutoring, interviews with 14 tutors using an e-portfolio and the answers on questionnaires by 107 students. We present 12 tips to increase the chances of successful e-tutoring when using electronic portfolios. E-tutoring by means of electronic portfolios can be a feasible alternative in contexts in which face-to-face tutoring is difficult.

  11. Fault Tolerant Distributed Portfolio Optimization in Smart Grids

    DEFF Research Database (Denmark)

    Juelsgaard, Morten; Wisniewski, Rafal; Bendtsen, Jan Dimon

    2014-01-01

    optimization scheme for power balancing, where communication is allowed only between units that are linked in the graph. We include consumers with controllable consumption as an active part of the portfolio. We show that a suboptimal, but arbitrarily good power balancing can be obtained in an uncoordinated......, distributed optimization framework, and argue that the scheme will work even if the computation time is limited. We further show that our approach can tolerate changes in the portfolio, in the sense that increasing or reducing the number of units in the portfolio requires only local updates. This ensures......This work considers a portfolio of units for electrical power production and the problem of utilizing it to maintain power balance in the electrical grid. We treat the portfolio as a graph in which the nodes are distributed generators and the links are communication paths. We present a distributed...

  12. Applying Portfolio Selection: A Case of Indonesia Stock Exchange

    Directory of Open Access Journals (Sweden)

    Maria Praptiningsih

    2012-01-01

    Full Text Available This study has three objectives. First, we investigate whether Modern Portfolio Theory can be applied on the financial decisions that made by investors or individual in order to increase their wealth through investment activities. Second, we examine the real behavior of each asset in terms of capital assets pricing models. Third, we determine whether our portfolio is the best model to produce a higher return in a given level of risk or a lowest risk in a particular level of return. It is found that three different stocks listed in the Indonesia Stock Exchange have a positive relationship with market returns. The reactions of the investor regarding these stocks are not influenced by each other. Lastly, the minimum variance portfolio (MVP point which represents the single portfolio with the lowest possible level of standard deviation, occurs when the expected return of portfolio is approximately 2.2 percent at a standard deviation of 8.8 percent.

  13. Investment risk management by applying contemporary modern portfolio theory

    Directory of Open Access Journals (Sweden)

    Jakšić Milena

    2015-01-01

    Full Text Available Investment risk is the principal threat to the assets side of the balance sheets of financial institutions. It is evident that investors who concentrate their wealth on one type of securities can rarely be found. Instead, they tend to invest diversified portfolio of securities. This reduces the degree of risk of the expected return, which depends both on the absolute risk of each investment in the portfolio, and the relationship that exists between individual investments within the portfolio. The paper analyzes the investment risk management by using modern portfolio theory in both national and global financial f lows. At the same time, the paper considers the risk management models that ensures efficient portfolio diversification, aiming at investment risk reduction. It is pointed out that the investment risk management in modern financial f lows is a complex process, and that the development of financial theory goes towards improving, soft risk management method.

  14. PORTFOLIO COMPOSITION WITH MINIMUM VARIANCE: COMPARISON WITH MARKET BENCHMARKS

    Directory of Open Access Journals (Sweden)

    Daniel Menezes Cavalcante

    2016-07-01

    Full Text Available Portfolio optimization strategies are advocated as being able to allow the composition of stocks portfolios that provide returns above market benchmarks. This study aims to determine whether, in fact, portfolios based on the minimum variance strategy, optimized by the Modern Portfolio Theory, are able to achieve earnings above market benchmarks in Brazil. Time series of 36 securities traded on the BM&FBOVESPA have been analyzed in a long period of time (1999-2012, with sample windows of 12, 36, 60 and 120 monthly observations. The results indicated that the minimum variance portfolio performance is superior to market benchmarks (CDI and IBOVESPA in terms of return and risk-adjusted return, especially in medium and long-term investment horizons.

  15. Vast Portfolio Selection with Gross-exposure Constraints().

    Science.gov (United States)

    Fan, Jianqing; Zhang, Jingjin; Yu, Ke

    2012-01-01

    We introduce the large portfolio selection using gross-exposure constraints. We show that with gross-exposure constraint the empirically selected optimal portfolios based on estimated covariance matrices have similar performance to the theoretical optimal ones and there is no error accumulation effect from estimation of vast covariance matrices. This gives theoretical justification to the empirical results in Jagannathan and Ma (2003). We also show that the no-short-sale portfolio can be improved by allowing some short positions. The applications to portfolio selection, tracking, and improvements are also addressed. The utility of our new approach is illustrated by simulation and empirical studies on the 100 Fama-French industrial portfolios and the 600 stocks randomly selected from Russell 3000.

  16. Learning to Select Supplier Portfolios for Service Supply Chain.

    Science.gov (United States)

    Zhang, Rui; Li, Jingfei; Wu, Shaoyu; Meng, Dabin

    2016-01-01

    The research on service supply chain has attracted more and more focus from both academia and industrial community. In a service supply chain, the selection of supplier portfolio is an important and difficult problem due to the fact that a supplier portfolio may include multiple suppliers from a variety of fields. To address this problem, we propose a novel supplier portfolio selection method based on a well known machine learning approach, i.e., Ranking Neural Network (RankNet). In the proposed method, we regard the problem of supplier portfolio selection as a ranking problem, which integrates a large scale of decision making features into a ranking neural network. Extensive simulation experiments are conducted, which demonstrate the feasibility and effectiveness of the proposed method. The proposed supplier portfolio selection model can be applied in a real corporation easily in the future.

  17. Spin glasses and nonlinear constraints in portfolio optimization

    Energy Technology Data Exchange (ETDEWEB)

    Andrecut, M., E-mail: mircea.andrecut@gmail.com

    2014-01-17

    We discuss the portfolio optimization problem with the obligatory deposits constraint. Recently it has been shown that as a consequence of this nonlinear constraint, the solution consists of an exponentially large number of optimal portfolios, completely different from each other, and extremely sensitive to any changes in the input parameters of the problem, making the concept of rational decision making questionable. Here we reformulate the problem using a quadratic obligatory deposits constraint, and we show that from the physics point of view, finding an optimal portfolio amounts to calculating the mean-field magnetizations of a random Ising model with the constraint of a constant magnetization norm. We show that the model reduces to an eigenproblem, with 2N solutions, where N is the number of assets defining the portfolio. Also, in order to illustrate our results, we present a detailed numerical example of a portfolio of several risky common stocks traded on the Nasdaq Market.

  18. Spin glasses and nonlinear constraints in portfolio optimization

    International Nuclear Information System (INIS)

    Andrecut, M.

    2014-01-01

    We discuss the portfolio optimization problem with the obligatory deposits constraint. Recently it has been shown that as a consequence of this nonlinear constraint, the solution consists of an exponentially large number of optimal portfolios, completely different from each other, and extremely sensitive to any changes in the input parameters of the problem, making the concept of rational decision making questionable. Here we reformulate the problem using a quadratic obligatory deposits constraint, and we show that from the physics point of view, finding an optimal portfolio amounts to calculating the mean-field magnetizations of a random Ising model with the constraint of a constant magnetization norm. We show that the model reduces to an eigenproblem, with 2N solutions, where N is the number of assets defining the portfolio. Also, in order to illustrate our results, we present a detailed numerical example of a portfolio of several risky common stocks traded on the Nasdaq Market.

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

    Science.gov (United States)

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

    2016-06-01

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

  20. Vast Portfolio Selection with Gross-exposure Constraints*

    Science.gov (United States)

    Fan, Jianqing; Zhang, Jingjin; Yu, Ke

    2012-01-01

    We introduce the large portfolio selection using gross-exposure constraints. We show that with gross-exposure constraint the empirically selected optimal portfolios based on estimated covariance matrices have similar performance to the theoretical optimal ones and there is no error accumulation effect from estimation of vast covariance matrices. This gives theoretical justification to the empirical results in Jagannathan and Ma (2003). We also show that the no-short-sale portfolio can be improved by allowing some short positions. The applications to portfolio selection, tracking, and improvements are also addressed. The utility of our new approach is illustrated by simulation and empirical studies on the 100 Fama-French industrial portfolios and the 600 stocks randomly selected from Russell 3000. PMID:23293404

  1. Student Chemical Engineering Reflective ePortfolios--ChE Student Perceptions of Learning from Reflective ePortfolio Creation

    Science.gov (United States)

    Cherrstrom, Catherine A.; Raisor, Cindy; Fowler, Debra

    2015-01-01

    Engineering educators and employers value and prioritize communication skills, but developing and assessing such skills in engineering programs is challenging. Reflective ePortfolios provide opportunities to enhance communication skills. The purpose of this three-­year qualitative case study was to investigate the use of reflective ePortfolios in…

  2. AVC/H.264 patent portfolio license

    Science.gov (United States)

    Skandalis, Dean A.

    2006-08-01

    MPEG LA, LLC offers a joint patent license for the AVC (a/k/a H.264) Standard (ISO/IEC IS 14496-10:2004). Like MPEG LA's other licenses, the AVC Patent Portfolio License is offered for the convenience of the marketplace as an alternative enabling users to access essential intellectual property owned by many patent holders under a single license rather than negotiating licenses with each of them individually. The AVC Patent Portfolio License includes essential patents owned by DAEWOO Electronics Corporation; Electronics and Telecommunications Research Institute (ETRI); France Telecom, societe anonyme; Fujitsu Limited; Hitachi, Ltd.; Koninklijke Philips Electronics N.V.; LG Electronics Inc.; Matsushita Electric Industrial Co., Ltd.; Microsoft Corporation; Mitsubishi Electric Corporation; Robert Bosch GmbH; Samsung Electronics Co., Ltd.; Sedna Patent Services, LLC; Sharp Kabushiki Kaisha; Siemens AG; Sony Corporation; The Trustees of Columbia University in the City of New York; Toshiba Corporation; UB Video Inc.; and Victor Company of Japan, Limited. Another is expected also to join as of August 1, 2006. MPEG LA's objective is to provide worldwide access to as much AVC essential intellectual property as possible for the benefit of AVC users. Therefore, any party that believes it has essential patents is welcome to submit them for evaluation of their essentiality and inclusion in the License if found essential.

  3. Network versus portfolio structure in financial systems

    Science.gov (United States)

    Kobayashi, Teruyoshi

    2013-10-01

    The question of how to stabilize financial systems has attracted considerable attention since the global financial crisis of 2007-2009. Recently, Beale et al. [Proc. Natl. Acad. Sci. USA 108, 12647 (2011)] demonstrated that higher portfolio diversity among banks would reduce systemic risk by decreasing the risk of simultaneous defaults at the expense of a higher likelihood of individual defaults. In practice, however, a bank default has an externality in that it undermines other banks’ balance sheets. This paper explores how each of these different sources of risk, simultaneity risk and externality, contributes to systemic risk. The results show that the allocation of external assets that minimizes systemic risk varies with the topology of the financial network as long as asset returns have negative correlations. In the model, a well-known centrality measure, PageRank, reflects an appropriately defined “infectiveness” of a bank. An important result is that the most infective bank needs not always to be the safest bank. Under certain circumstances, the most infective node should act as a firewall to prevent large-scale collective defaults. The introduction of a counteractive portfolio structure will significantly reduce systemic risk.

  4. Portfolio Analysis of Renewable Energy Opportunities: Preprint

    Energy Technology Data Exchange (ETDEWEB)

    Richards, Allison; Deprizio, Jodi; Anderson, Kate; DiOrio, Nick; Elgqvist, Emma; Simpkins, Travis

    2016-11-01

    Time Warner Cable (TWC), now Charter Communications (CC), partnered with the National Renewable Energy Laboratory (NREL) to assess the technical and economic potential for solar photovoltaic (PV), wind, and ground-source heat-pump systems at 696 TWC facilities. NREL identified 306 sites where adding a renewable energy system would provide cost savings over the project life-cycle. In general, the top sites have some combination of high electricity rates ($0.16-$0.29/kWh), significant state incentives, and favorable net-metering policies. If all projects were implemented via third-party power purchase agreements, TWC/CC would save $37 million over 25 years and meet 10.5% of their energy consumption with renewable energy. This paper describes the portfolio screening methodology used to identify and prioritize renewable energy opportunities across the TWC sites, as well as a summary of the potential cost savings that may be realized by implementing these projects. This may provide a template for other companies interested in identifying and prioritizing renewable energy opportunities across a large number of geographically dispersed sites. Following this initial portfolio analysis, NREL will be conducting in-depth analysis of project development opportunities at ten sites and evaluating off-grid solutions that may enable carbon emission reduction and grid independence at select facilities.

  5. Strategic Context of Project Portfolio Management

    Directory of Open Access Journals (Sweden)

    Nedka Nikolova

    2016-06-01

    Full Text Available In 2014 Bulgaria entered its second programming period (2014-2020 which opened a new stage in the development of project management in our country. Project-oriented companies are entering a new stage in which based on experience and increased design capacity they will develop their potential and will accelerate growth. This poses new challenges for science and business to identify strategic opportunities and formulation of project objectives, programs and portfolios of projects that will increase the competitive potential of companies and the economy as a whole. This article is an expression of the shared responsibility of science to develop the scientific front to solve methodologically difficult and practically new tasks that are derived from the needs to increase the competitive potential of the business-based project approach. The main objective of this study is based on the systematization of the results of theoretical research and development of methodology of Project Portfolio Management to explore the opportunities for its application in Bulgarian industrial companies.

  6. Stable Isotope Data

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Tissue samples (skin, bone, blood, muscle) are analyzed for stable carbon, stable nitrogen, and stable sulfur analysis. Many samples are used in their entirety for...

  7. Implementation of Portfolio Assessment in a Competency-based Dental Hygiene Program.

    Science.gov (United States)

    Gadbury-Amyot, Cynthia C.; Holt, Lorie P.; Overman, Pamela R.; Schmidt, Colleen R.

    2000-01-01

    Describes the implementation of a portfolio assessment program in the dental hygiene program at the University of Missouri School of Dentistry. Tables provide examples of program competencies and related portfolio entries, the complete scoring rubric for portfolios, and the student portfolio evaluation survey. Concludes that although portfolio…

  8. A Risk-Sensitive Portfolio Optimization Problem with Fixed Incomes Securities

    OpenAIRE

    Goel, Mayank; Kumar, K. Suresh

    2007-01-01

    We discuss a class of risk-sensitive portfolio optimization problems. We consider the portfolio optimization model investigated by Nagai in 2003. The model by its nature can include fixed income securities as well in the portfolio. Under fairly general conditions, we prove the existence of optimal portfolio in both finite and infinite horizon problems.

  9. Status of portfolios in undergraduate medical education in the LCME accredited US medical school.

    Science.gov (United States)

    Chertoff, Jason; Wright, Ashleigh; Novak, Maureen; Fantone, Joseph; Fleming, Amy; Ahmed, Toufeeq; Green, Marianne M; Kalet, Adina; Linsenmeyer, Machelle; Jacobs, Joshua; Dokter, Christina; Zaidi, Zareen

    2016-09-01

    We sought to investigate the number of US medical schools utilizing portfolios, the format of portfolios, information technology (IT) innovations, purpose of portfolios and their ability to engage faculty and students. A 21-question survey regarding portfolios was sent to the 141 LCME-accredited, US medical schools. The response rate was 50% (71/141); 47% of respondents (33/71) reported that their medical school used portfolios in some form. Of those, 7% reported the use of paper-based portfolios and 76% use electronic portfolios. Forty-five percent reported portfolio use for formative evaluation only; 48% for both formative and summative evaluation, and 3% for summative evaluation alone. Seventy-two percent developed a longitudinal, competency-based portfolio. The most common feature of portfolios was reflective writing (79%). Seventy-three percent allow access to the portfolio off-campus, 58% allow usage of tablets and mobile devices, and 9% involve social media within the portfolio. Eighty percent and 69% agreed that the portfolio engaged students and faculty, respectively. Ninety-seven percent reported that the portfolios used at their institution have room for improvement. While there is significant variation in the purpose and structure of portfolios in the medical schools surveyed, most schools using portfolios reported a high level of engagement with students and faculty.

  10. Development of an Electronic Portfolio System Success Model: An Information Systems Approach

    Science.gov (United States)

    Balaban, Igor; Mu, Enrique; Divjak, Blazenka

    2013-01-01

    This research has two main goals: to develop an instrument for assessing Electronic Portfolio (ePortfolio) success and to build a corresponding ePortfolio success model using DeLone and McLean's information systems success model as the theoretical framework. For this purpose, we developed an ePortfolio success measurement instrument and structural…

  11. Fellows' Perceptions of a Mandatory Reflective Electronic Portfolio in a Geriatric Medicine Fellowship Program

    Science.gov (United States)

    Ruiz, Jorge G.; Qadri, Syeda S.; Karides, Marina; Castillo, Carmen; Milanez, Marcos; Roos, Bernard A.

    2009-01-01

    Electronic portfolios (ePortfolios) can be useful for evaluating and documenting mastery of competencies. We investigated geriatric medicine fellows' perceptions of an ePortfolio. We conducted surveys and focus groups followed by quantitative and qualitative data analysis. Our study revealed that fellows considered the ePortfolio acceptable and…

  12. Mean-Coherent Risk and Mean-Variance Approaches in Portfolio Selection : An Empirical Comparison

    NARCIS (Netherlands)

    Polbennikov, S.Y.; Melenberg, B.

    2005-01-01

    We empirically analyze the implementation of coherent risk measures in portfolio selection.First, we compare optimal portfolios obtained through mean-coherent risk optimization with corresponding mean-variance portfolios.We find that, even for a typical portfolio of equities, the outcomes can be

  13. Using Facebook-Based e-Portfolio in ESL Writing Classrooms: Impact and Challenges

    Science.gov (United States)

    Barrot, Jessie S.

    2016-01-01

    In English as a second language (ESL) writing pedagogy, much attention has been given to electronic portfolio (e-portfolio) assessment via social networking sites. However, little is known about how Facebook can be used as an e-portfolio platform. Hence, this paper describes the impact of Facebook-based e-portfolio on ESL students' writing…

  14. AN EXAMPLE FOR PORTFOLIO PREPARATION IN GERMAN TEACHER TRAINING

    Directory of Open Access Journals (Sweden)

    Hüseyin ARAK

    2017-04-01

    Full Text Available In this study we are trying with the help of portfolio in teacher training and the diagnosis of the learning group concerning their skills in translation from German to Turkish, to show the documentation of the learning process. The portfolio provides a good overview about the performance of the students and it also prepares a basis for assessment. A growing self-awareness of students can be achieved through implementing the portfolio-method. The students should collect and reflect the most important materials and practices leading to key terms of the seminar. It is more than an assessment method it is a surrounding of learning. The work with portfolio has an influence on teaching, learning and assessing. As in detail, this is dependent on the aims and other characteristics of the models which take the portfolio work as a basis. The portfolio provides us a big advantage for the support of the cultural reflection. We can observe the process of the growth of knowledge step by step, because the measurement of the development in a determined period allows us either a written work or a Multiple Choice Test. In this sense we can look at the portfolio as an assessment instrument of a process.

  15. The Role of Learning- and Presentation- Portfolios in Design Educations

    DEFF Research Database (Denmark)

    Thomsen, Bente Dahl; Ovesen, Nis

    2014-01-01

    Students that primarily study design through team-based projects often struggle to develop presentation portfolios that differentiate from the ones of other students. In the industry, design managers experience this as a problem, as they often receive job applications with presentation portfolios...... resources from other activities, which is why the templates have to be carefully balanced in order to achieve the desired effect. The portfolio method proved to be especially good at illustrating process related competencies.......Students that primarily study design through team-based projects often struggle to develop presentation portfolios that differentiate from the ones of other students. In the industry, design managers experience this as a problem, as they often receive job applications with presentation portfolios...... of the portfolio method in engineering design educations, this research project has investigated the method as part of a course programme. The preliminary experiments and results show that learning portfolio templates are effective in strengthening certain activities. On the other hand, the method risks draining...

  16. Random matrix theory filters and currency portfolio optimisation

    Science.gov (United States)

    Daly, J.; Crane, M.; Ruskin, H. J.

    2010-04-01

    Random matrix theory (RMT) filters have recently been shown to improve the optimisation of financial portfolios. This paper studies the effect of three RMT filters on realised portfolio risk, using bootstrap analysis and out-of-sample testing. We considered the case of a foreign exchange and commodity portfolio, weighted towards foreign exchange, and consisting of 39 assets. This was intended to test the limits of RMT filtering, which is more obviously applicable to portfolios with larger numbers of assets. We considered both equally and exponentially weighted covariance matrices, and observed that, despite the small number of assets involved, RMT filters reduced risk in a way that was consistent with a much larger S&P 500 portfolio. The exponential weightings indicated showed good consistency with the value suggested by Riskmetrics, in contrast to previous results involving stocks. This decay factor, along with the low number of past moves preferred in the filtered, equally weighted case, displayed a trend towards models which were reactive to recent market changes. On testing portfolios with fewer assets, RMT filtering provided less or no overall risk reduction. In particular, no long term out-of-sample risk reduction was observed for a portfolio consisting of 15 major currencies and commodities.

  17. Revitalizing Brands and Brand Portfolios: Essays on Brand and Brand Portfolio Management Strategies

    OpenAIRE

    Depecik, Baris

    2016-01-01

    markdownabstractHow should consumer products manufacturers and retailers keep their portfolio of brand offerings relevant and energetic when large numbers of new brands are continuously launched into a world of increasingly nonloyal customers with evolving needs? The harsh reality is, at a time when the demise of old brands has accelerated and even established brands are vulnerable, it stands to be a great deal of challenge. Fortunately, a number of ‘revitalization’ strategies can add relevan...

  18. Large Portfolio Risk Management and Optimal Portfolio Allocation with Dynamic Copulas

    OpenAIRE

    Thorsten Lehnert; Xisong Jin

    2011-01-01

    Previous research focuses on the importance of modeling the multivariate distribution for optimal portfolio allocation and active risk management. However, available dynamic models are not easily applied for high-dimensional problems due to the curse of dimensionality. In this paper, we extend the framework of the Dynamic Conditional Correlation/Equicorrelation and an extreme value approach into a series of Dynamic Conditional Elliptical Copulas. We investigate risk measures like Value at Ris...

  19. Quantifying the role of personal management style in the success of investment portfolios

    Directory of Open Access Journals (Sweden)

    E.A. Wagenaar

    2014-01-01

    Full Text Available It is extremely difficult to quantify the effect of different management styles of portfolio managers upon the success of their portfolios. Various mathematical models in the literature attempt to predict the risk and returns of portfolios according to changes in the economic arena, but these models usually do not take into account the personal styles of portfolio managers. The aim of this paper is a modest attempt at quantifying the effect of different managerial styles upon decisions regarding portfolios. This is accomplished by the formulation of a mathematical performance index that portrays the influence of a portfolio manager's personal and managerial characteristics on the success of his portfolio.

  20. EFFICIENCY OF CREDIT PORTFOLIO MANAGEMENT IN CONDITIONS OF ECONOMIC INSTABILITY

    Directory of Open Access Journals (Sweden)

    Koshel H.

    2018-01-01

    Full Text Available Introduction. The active development of integration processes causes the necessity of applying high-level approaches to management of the banking system, which is an essential part of the financial sector. Due to the importance of credit operations in the portfolio of banking assets, development of efficient and flexible credit management system is the basis for financial and market stability of banks. Purpose. Analyze the condition of the credit portfolio of banking institutions under the influence of economic processes and make conclusions and recommendations about the effectiveness of managing the bank’s credit portfolio and generalize ways of improving the structure and quality of the bank’s credit portfolio. Results. Over the last six years, the quality of the credit portfolio has become worse because of the bad debts growing and, as a result, decreasing in revenues. The calculated coefficient of management efficiency of a credit portfolio shows the dependence of this indicator on the value of risk and yield. In order to confirm the dependence and determine the degree of influence of these indicators on the efficiency of management of a loan portfolio, an economic-mathematical model was constructed on the example of both individual banks and the banking system as a whole. Detected dependence of factors is quite logical, therefore, the model can be recommended for practical use. Conclusion. Using this method of determining the management efficiency of a credit portfolio will allow the management of the bank to make reasonable decisions. It will allow the possibility of forming a more justified credit portfolio, taking into account not only the profitability, but also the real level of risk of credit operations.

  1. An application of almost marginal conditional stochastic dominance (AMCSD) on forming efficient portfolios

    Science.gov (United States)

    Slamet, Isnandar; Mardiana Putri Carissa, Siska; Pratiwi, Hasih

    2017-10-01

    Investors always seek an efficient portfolio which is a portfolio that has a maximum return on specific risk or minimal risk on specific return. Almost marginal conditional stochastic dominance (AMCSD) criteria can be used to form the efficient portfolio. The aim of this research is to apply the AMCSD criteria to form an efficient portfolio of bank shares listed in the LQ-45. This criteria is used when there are areas that do not meet the criteria of marginal conditional stochastic dominance (MCSD). On the other words, this criteria can be derived from quotient of areas that violate the MCSD criteria with the area that violate and not violate the MCSD criteria. Based on the data bank stocks listed on LQ-45, it can be stated that there are 38 efficient portfolios of 420 portfolios where each portfolio comprises of 4 stocks and 315 efficient portfolios of 1710 portfolios with each of portfolio has 3 stocks.

  2. Testing the Market Model – A Case Study of Fondul Proprietatea (FP)

    OpenAIRE

    Sorin Claudiu Radu

    2014-01-01

    The financial theory related to the bond portfolio analysis was coined by Harry Markowitz, an authentic’ pioneer of the modern bond theory’, and his well-thought interpretation of the bond selection model may be found in his research papers “Portfolio Selection” (Markowitz M. Harry, 1952) and “Portfolio Selection: Efficient Diversification of Investments” (Markowitz M. Harry 1960). This paper is proposed to test the market model in the Romanian stock market, case of Property Fund.

  3. MANAGING THE USE OF DERIVATIVE INSTRUMENTS FOR PORTFOLIO RISK PURPOSES

    Directory of Open Access Journals (Sweden)

    Mădălina Antoaneta RĂDOI

    2017-05-01

    Full Text Available The priority in portfolio management is a good risk assessment and management. Of great importance is the margin that an asset portfolio guarantor must use with specific expertise in certain areas of market temporal inefficiency in order to improve its management performance. The relevant validity of the financial market and the emphasis laid on risk management carried along the development of financial instruments tailored to risk management. New derivative financial instruments have revolutionized the methods of portfolio management, of corporate treasury management, of banking management and, more generally, all financial strategies.

  4. Portfolio management of hydropower producer via stochastic programming

    International Nuclear Information System (INIS)

    Liu, Hongling; Jiang, Chuanwen; Zhang, Yan

    2009-01-01

    This paper presents a stochastic linear programming framework for the hydropower portfolio management problem with uncertainty in market prices and inflows on medium term. The uncertainty is modeled as a scenario tree using the Monte Carlo simulation method, and the objective is to maximize the expected revenue over the entire scenario tree. The portfolio decisions of the stochastic model are formulated as a tradeoff involving different scenarios. Numerical results illustrate the impact of uncertainty on the portfolio management decisions, and indicate the significant value of stochastic solution. (author)

  5. Designing a portfolio management programme to optimize cash-flow

    International Nuclear Information System (INIS)

    Fassom, D.

    1996-01-01

    The design and implementation of any portfolio management programme must, by definition, be tailored to the drivers and particular objectives of the company owning the assets. This paper will concentrate on one of the most important driving forces, namely managing cash-flow. Five key steps are required to achieve an effective portfolio management programme: 1. establish targets/goals; 2. describe and value the assets in your company's portfolio; 3. identify and catalogue potential 'customers'; 4. construct appropriate deal structures and other strategies to achieve your targets; 5. work hard and do deals. (author)

  6. Uncertain Portfolio Selection with Background Risk and Liquidity Constraint

    Directory of Open Access Journals (Sweden)

    Jia Zhai

    2017-01-01

    Full Text Available This paper discusses an uncertain portfolio selection problem with consideration of background risk and asset liquidity. In addition, the transaction costs are also considered. The security returns, background asset return, and asset liquidity are estimated by experienced experts instead of historical data. Regarding them as uncertain variables, a mean-risk model with background risk, liquidity, and transaction costs is proposed for portfolio selection and the crisp forms of the model are provided when security returns obey different uncertainty distributions. Moreover, for better understanding of the impact of background risk and liquidity on portfolio selection, some important theorems are proved. Finally, numerical experiments are presented to illustrate the modeling idea.

  7. Statistically Efficient Construction of α-Risk-Minimizing Portfolio

    Directory of Open Access Journals (Sweden)

    Hiroyuki Taniai

    2012-01-01

    Full Text Available We propose a semiparametrically efficient estimator for α-risk-minimizing portfolio weights. Based on the work of Bassett et al. (2004, an α-risk-minimizing portfolio optimization is formulated as a linear quantile regression problem. The quantile regression method uses a pseudolikelihood based on an asymmetric Laplace reference density, and asymptotic properties such as consistency and asymptotic normality are obtained. We apply the results of Hallin et al. (2008 to the problem of constructing α-risk-minimizing portfolios using residual signs and ranks and a general reference density. Monte Carlo simulations assess the performance of the proposed method. Empirical applications are also investigated.

  8. Enhanced Portfolio Performance Using a Momentum Approach to Annual Rebalancing

    Directory of Open Access Journals (Sweden)

    Michael D. Mattei

    2018-02-01

    Full Text Available After diversification, periodic portfolio rebalancing has become one of the most widely practiced methods for reducing portfolio risk and enhancing returns. Most of the rebalancing strategies found in the literature are generally regarded as contrarian approaches to rebalancing. A recent article proposed a rebalancing approach that incorporates a momentum approach to rebalancing. The momentum approach had a better risk adjusted return than either the traditional approach or a Buy-and-Hold approach. This article identifies an improvement to the momentum approach and then examines the impact of transactions costs and taxes on the portfolio performance of four active rebalancing approaches.

  9. Twelve tips for creating an academic teaching portfolio.

    Science.gov (United States)

    Little-Wienert, Kim; Mazziotti, Mark

    2018-01-01

    An academic teaching portfolio is not only a requirement at many academic teaching institutions, but it is also important in a medical educator's growth and development through documentation, reflection, evaluation, and change. Creating an academic portfolio may appear daunting at first but with careful advanced preparation, organized evidence collection of your educational work, proof of scholarship, and thorough documentation of self-reflection and change, you can produce a successful product that accurately represents your educational beliefs, accomplishments, and growth throughout your career. This article provides medical educators with twelve steps for creating a successful academic teaching portfolio.

  10. Multiperiod Mean-Variance Portfolio Optimization via Market Cloning

    Energy Technology Data Exchange (ETDEWEB)

    Ankirchner, Stefan, E-mail: ankirchner@hcm.uni-bonn.de [Rheinische Friedrich-Wilhelms-Universitaet Bonn, Institut fuer Angewandte Mathematik, Hausdorff Center for Mathematics (Germany); Dermoune, Azzouz, E-mail: Azzouz.Dermoune@math.univ-lille1.fr [Universite des Sciences et Technologies de Lille, Laboratoire Paul Painleve UMR CNRS 8524 (France)

    2011-08-15

    The problem of finding the mean variance optimal portfolio in a multiperiod model can not be solved directly by means of dynamic programming. In order to find a solution we therefore first introduce independent market clones having the same distributional properties as the original market, and we replace the portfolio mean and variance by their empirical counterparts. We then use dynamic programming to derive portfolios maximizing a weighted sum of the empirical mean and variance. By letting the number of market clones converge to infinity we are able to solve the original mean variance problem.

  11. Multiperiod Mean-Variance Portfolio Optimization via Market Cloning

    International Nuclear Information System (INIS)

    Ankirchner, Stefan; Dermoune, Azzouz

    2011-01-01

    The problem of finding the mean variance optimal portfolio in a multiperiod model can not be solved directly by means of dynamic programming. In order to find a solution we therefore first introduce independent market clones having the same distributional properties as the original market, and we replace the portfolio mean and variance by their empirical counterparts. We then use dynamic programming to derive portfolios maximizing a weighted sum of the empirical mean and variance. By letting the number of market clones converge to infinity we are able to solve the original mean variance problem.

  12. Dynamic portfolio optimization across hidden market regimes

    DEFF Research Database (Denmark)

    Nystrup, Peter; Madsen, Henrik; Lindström, Erik

    2017-01-01

    Regime-based asset allocation has been shown to add value over rebalancing to static weights and, in particular, reduce potential drawdowns by reacting to changes in market conditions. The predominant approach in previous studies has been to specify in advance a static decision rule for changing...... the allocation based on the state of financial markets or the economy. In this article, model predictive control (MPC) is used to dynamically optimize a portfolio based on forecasts of the mean and variance of financial returns from a hidden Markov model with time-varying parameters. There are computational...... than a buy-and-hold investment in various major stock market indices. This is after accounting for transaction costs, with a one-day delay in the implementation of allocation changes, and with zero-interest cash as the only alternative to the stock indices. Imposing a trading penalty that reduces...

  13. Optimal Portfolio Selection Under Concave Price Impact

    International Nuclear Information System (INIS)

    Ma Jin; Song Qingshuo; Xu Jing; Zhang Jianfeng

    2013-01-01

    In this paper we study an optimal portfolio selection problem under instantaneous price impact. Based on some empirical analysis in the literature, we model such impact as a concave function of the trading size when the trading size is small. The price impact can be thought of as either a liquidity cost or a transaction cost, but the concavity nature of the cost leads to some fundamental difference from those in the existing literature. We show that the problem can be reduced to an impulse control problem, but without fixed cost, and that the value function is a viscosity solution to a special type of Quasi-Variational Inequality (QVI). We also prove directly (without using the solution to the QVI) that the optimal strategy exists and more importantly, despite the absence of a fixed cost, it is still in a “piecewise constant” form, reflecting a more practical perspective.

  14. Behavioral optimization models for multicriteria portfolio selection

    Directory of Open Access Journals (Sweden)

    Mehlawat Mukesh Kumar

    2013-01-01

    Full Text Available In this paper, behavioral construct of suitability is used to develop a multicriteria decision making framework for portfolio selection. To achieve this purpose, we rely on multiple methodologies. Analytical hierarchy process technique is used to model the suitability considerations with a view to obtaining the suitability performance score in respect of each asset. A fuzzy multiple criteria decision making method is used to obtain the financial quality score of each asset based upon investor's rating on the financial criteria. Two optimization models are developed for optimal asset allocation considering simultaneously financial and suitability criteria. An empirical study is conducted on randomly selected assets from National Stock Exchange, Mumbai, India to demonstrate the effectiveness of the proposed methodology.

  15. Strategic leadership of portfolio and project management

    CERN Document Server

    Kloppenborg, Timothy J

    2014-01-01

    As an executive in today's economy, your organization may have limited resources and bench strength. How can you and other leaders make the most of your company's assets? This book will instruct you and your leadership teams on implementing strategy through identifying, selecting, prioritizing, resourcing, and governing an optimal combination of projects and other work. Inside, you'll learn how to sponsor every project stage, as well as instruct your project managers and direct reports to follow your lead. Detailed advice is given for project management competency on utilizing input from customers, employees, and processes. Much of your organization's work is probably dependent on information technology and understanding and using information technology as a strategic weapon, and with this book, you'll learn how your organization can become competitive and how to effectively implement smart business strategies. This book outlines how these portfolio and project decisions have to be made based on both qualitat...

  16. Integrating Project Portfolio With Business Strategy: Imagineering

    Directory of Open Access Journals (Sweden)

    Cesar Buaes Dal Maso

    2015-12-01

    Full Text Available Aligning project management to the strategy of a big company is a difficult job. Through Imagineering (the business department and project management program, The Walt Disney Company has done this alignment in an exemplary way. Using a theoretical investigation, this study analyzed the Imagineering as a reference in strategic management of global projects through Disney´s business portfolio, a global benchmarking and with Malmberg et al. (2010 as a company guide. As the main results of the correlations carried out, it was noted that the Imagineers who work in project teams apply tools and techniques with a strategic vision focused on differentiation, generating value, and mixing imagination with technical capacity. The Blue Sky department and its integrated units make possible the creation and deployment of the attractions, the theme parks, hotels, resorts and the Disney sea cruises, demonstrating in this way, to be a highly effective project management office.

  17. Platform development: implications for portfolio management

    DEFF Research Database (Denmark)

    Hsuan, Juliana; Hansen, Poul H. Kyvsgård

    2007-01-01

    " The challenge of implementing industrial platforms in practice can be described as a configuration problem caused by a considerable number of variables, which often have contradictory influences on the total performance of the firm. Consequently, the specific platform decisions become extremely...... complex, possibly increasing the strategic risks for the firm. This paper reports preliminary findings on platform management process at LEGO, a Danish toy company. Specifically, we report the process of applying games combined with simulations and workshops in the platform development. We also propose...... a framework, based on the portfolio management thinking to evaluate the degree of modularity embedded in a given platform and to which extent it is aligned with other platforms."...

  18. Portfolio Allocation Subject to Credit Risk

    Directory of Open Access Journals (Sweden)

    Rogerio de Deus Oliveira

    2003-12-01

    Full Text Available Credit Risk is an important dimension to be considered in the risk management procedures of financial institutions. Is a particularly useful in emerging markets where default rates on bank loan products are usually high. It is usually calculated through highly costly Monte Carlo simulations which consider different stochastic factors driving the uncertainly associated to the borrowers liabilities. In this paper, under some restrictions, we drive closed form formulas for the probability distributions of default rates of bank loans products involving a big number of clients. This allows us to quickly obtain the credit risk of such products. Moreover, using these probability distributions, we solve the problem of optimal portfolio allocation under default risk.

  19. Optimal Portfolio Selection Under Concave Price Impact

    Energy Technology Data Exchange (ETDEWEB)

    Ma Jin, E-mail: jinma@usc.edu [University of Southern California, Department of Mathematics (United States); Song Qingshuo, E-mail: songe.qingshuo@cityu.edu.hk [City University of Hong Kong, Department of Mathematics (Hong Kong); Xu Jing, E-mail: xujing8023@yahoo.com.cn [Chongqing University, School of Economics and Business Administration (China); Zhang Jianfeng, E-mail: jianfenz@usc.edu [University of Southern California, Department of Mathematics (United States)

    2013-06-15

    In this paper we study an optimal portfolio selection problem under instantaneous price impact. Based on some empirical analysis in the literature, we model such impact as a concave function of the trading size when the trading size is small. The price impact can be thought of as either a liquidity cost or a transaction cost, but the concavity nature of the cost leads to some fundamental difference from those in the existing literature. We show that the problem can be reduced to an impulse control problem, but without fixed cost, and that the value function is a viscosity solution to a special type of Quasi-Variational Inequality (QVI). We also prove directly (without using the solution to the QVI) that the optimal strategy exists and more importantly, despite the absence of a fixed cost, it is still in a 'piecewise constant' form, reflecting a more practical perspective.

  20. Portfolio Sensitivity Model for Analyzing Credit Risk Caused by Structural and Macroeconomic Changes

    Directory of Open Access Journals (Sweden)

    Goran Klepac

    2008-12-01

    Full Text Available This paper proposes a new model for portfolio sensitivity analysis. The model is suitable for decision support in financial institutions, specifically for portfolio planning and portfolio management. The basic advantage of the model is the ability to create simulations for credit risk predictions in cases when we virtually change portfolio structure and/or macroeconomic factors. The model takes a holistic approach to portfolio management consolidating all organizational segments in the process such as marketing, retail and risk.