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Wyszukujesz frazę "portfolio optimization" wg kryterium: Temat

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    Wyświetlanie 1-10 z 10
    Tytuł:
    Does the inclusion of exposure to volatility into diversified portfolio improve the investment results? Portfolio construction from the perspective of a Polish investor
    Autorzy:
    Latoszek, Michał
    Ślepaczuk, Robert
    Powiązania:
    https://bibliotekanauki.pl/articles/557807.pdf
    Data publikacji:
    2020
    Wydawca:
    Uniwersytet Ekonomiczny w Poznaniu
    Tematy:
    volatility
    asset class
    portfolio optimization
    Polish market
    VIX
    Markowitz portfolio
    naïve diversification
    Opis:
    The main goal of this research is to analyse the investment benefits from an incorporation of the volatility exposure to the diversified portfolio from the perspective of a Polish investor. Volatility, treated as a new asset class, may improve the performance of the portfolio due to its negative correlation with most types of assets. This topic has been widely investigated for the United States and Europe whereas the Polish market appears to be not heavily researched and this study may fill this gap. The research covers the period from October 2010 to July 2018 and is performed on daily close prices. To construct the portfolios the analysis uses the mean-variance framework and the naïve diversification approach. The comparison of risk-adjusted returns between investments with and without volatility exposure enables an answer to the research question about an improvement of the results by the addition of a non-standard asset to the diversified portfolios. The VXX is considered as the proxy for volatility as it is the most popular ETN which follows the volatility index derivatives with the given maturity. To test the robustness of the results the portfolios are constructed with a broad range of different parameters and assumptions imposed on the optimization procedure.
    Źródło:
    Economics and Business Review; 2020, 6(20), 1; 46-81
    2392-1641
    Pojawia się w:
    Economics and Business Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Performance of robust portfolio optimization in crisis periods
    Autorzy:
    Balcilar, M.
    Ozun, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/205665.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    robust control procedures
    RobustRisk
    portfolio optimization
    Monte Carlo simulation
    global crisis
    Opis:
    We examin empirical performances of two alterna- tive robust optimization models, namely the worst-case conditional value-at-risk (worst-case CVaR) model and the nominal conditional value-at-risk (CVaR) model in crisis periods. Both models are based on historical value-at-risk methodology. These performances are compared by using a portfolio constructed on the basis of daily clos- ing values of different stock indices in developed markets using data from 1990 to 2013. An empirical evidence is produced with Ro- bustRisk software application. Both a Monte-Carlo simulation and an out-of-sample test show that robust optimization with worst-case CVaR model outperforms the nominal CVaR model in the crisis peri- ods. However, the trade-off between model misspecification risk and return maximization depending on the market movements should be optimized in a robust model selection.
    Źródło:
    Control and Cybernetics; 2013, 42, 4; 855-871
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Metaheuristic optimization of marginal risk constrained long - short portfolios
    Autorzy:
    Vijayalakshmi Pai, G. A.
    Michel, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/91858.pdf
    Data publikacji:
    2012
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    metaheuristic
    optimization
    portfolio optimization
    marginal risk
    quadratic programming
    meta heuristic method
    data envelopment analysis
    Opis:
    The problem of portfolio optimization with its twin objectives of maximizing expected portfolio return and minimizing portfolio risk renders itself difficult for direct solving using traditional methods when constraints reflective of investor preferences, risk management and market conditions are imposed on the underlying mathematical model. Marginal risk that represents the risk contributed by an asset to the total portfolio risk is an important criterion during portfolio selection and risk management. However, the inclusion of the constraint turns the problem model into a notorious non-convex quadratic constrained quadratic programming problem that seeks acceptable solutions using metaheuristic methods. In this work, two metaheuristic methods, viz., Evolution Strategy with Hall of Fame and Differential Evolution (rand/1/bin) with Hall of Fame have been evolved to solve the complex problem and compare the quality of the solutions obtained. The experimental studies have been undertaken on the Bombay Stock Exchange (BSE200) data set for the period March 1999-March 2009. The efficiency of the portfolios obtained by the two metaheuristic methods have been analyzed using Data Envelopment Analysis.
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2012, 2, 3; 259-274
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Information pricing for portfolio optimization
    Autorzy:
    Banek, T.
    Kulikowski, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/970590.pdf
    Data publikacji:
    2003
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    wartość informacji
    martyngał
    optymalizacja portfela inwestycyjnego
    value of information
    martingale
    portfolio optimization
    Opis:
    We consider the following problem: is there a rational or fair price for the reports made by analysts, experts, investor advisers concerning the rate of return (RR) of investments? We define the notion of the value of information included in the family of probability distributions of the RR. Next, we illustrate this notion for a linear-quadratic utility function.
    Źródło:
    Control and Cybernetics; 2003, 32, 4; 867-882
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multiobjective duality for the Markowitz portfolio optimization problem
    Autorzy:
    Wanka, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/206011.pdf
    Data publikacji:
    1999
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    dualność
    optymalizacja
    duality
    expected return
    investment
    Markowitz model
    optimality conditions
    portfolio optimization
    Opis:
    The classical Markowitz approach to portfolio selection leads to a biobjective optimization problem where the objectives are the expected return and the variance of a portfolio. In this paper a biobjective dual optimization problem to the Markowitz portfolio optimization problem is introduced and analyzed. For the Markowitz problem and its dual, weak and strong vector duality assertions are derived. The optimality conditions are also verified.
    Źródło:
    Control and Cybernetics; 1999, 28, 4; 691-702
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A bi-objective portfolio optimization with conditional value-at-risk
    Autorzy:
    Sawik, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/375981.pdf
    Data publikacji:
    2010
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    multi-criteria decision making
    portfolio optimization
    conditional value-at-risk
    weighting approach
    linear programming
    Opis:
    This paper presents a bi-objective portfolio model with the expected return as a performance measure and the expected worst-case return as a risk measure. The problems are formulated as a bi-objective linear program. Numerical examples based on 1000, 3500 and 4020 historical daily input data from the Warsaw Stock Exchange are presented and selected computational results are provided. The computational experiments prove that the proposed linear programming approach provides the decision maker with a simple tool for evaluating the relationship between the expected and the worst-case portfolio return.
    Źródło:
    Decision Making in Manufacturing and Services; 2010, 4, 1-2; 47-69
    1896-8325
    2300-7087
    Pojawia się w:
    Decision Making in Manufacturing and Services
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A recursive procedure for selecting optimal portfolio according to the MAD model
    Autorzy:
    Michałowski, W.
    Ogryczak, W.
    Powiązania:
    https://bibliotekanauki.pl/articles/205763.pdf
    Data publikacji:
    1999
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    optymalizacja
    programowanie liniowe
    downside risk aversion
    investment
    linear programming
    portfolio optimization
    quadratic programming
    risk management
    Opis:
    The mathematical model of portfolio optimization is usually represented as a bicriteria optimization problem where a reasonable trade-off between expected rate of return and risk is sought. Im a classical Markowitz model the risk is measured by a variance, thus resulting in a quadratic programming model. As an alternative, the MAD model was proposed where risk is measured by (mean) absolute deviation instead of a variance. The MAD model is computationally attractive, since it is transformed into an easy to solve linear programming program. In this paper we poesent a recursive procedure which allows to identify optimal portfolio of the MAD model depending on investor's downside risk aversion.
    Źródło:
    Control and Cybernetics; 1999, 28, 4; 725-738
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Two factors utility approach
    Autorzy:
    Kulikowski, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/206747.pdf
    Data publikacji:
    1998
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    optymalizacja
    expected return
    investment allocation
    optimum investment strategies
    portfolio optimization
    portfolio variance
    risk aversion
    utility function
    worse case return
    Opis:
    This paper deals with optimization of portfolios composed of securities (equities). The drawbacks of existing methodologies, based on a single factor utility function, are indicated. The two-factor utility function introduced takes into account the expected excess return and expected worst case return (both in monetary units). Assuming that utility is "risk averse" and "constant returns to scale", a theorem on existence of optimum strategy of investments is proven. The optimum strategy is derived in an explicit form. A numerical example is also given.
    Źródło:
    Control and Cybernetics; 1998, 27, 3; 417-428
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Portfolio optimization - two rules approach
    Autorzy:
    Kulikowski, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/206858.pdf
    Data publikacji:
    1998
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    optymalizacja
    optymalizacja portfela
    expected return
    investment allocation
    optimum investment strategies
    portfolio optimization
    portfolio variance
    risk aversion
    utility function
    worse case return
    Opis:
    The new approach to the portfolio optimization, based on the concept of two-factor utility function, is proposed. The first factor describes the expected average profit, while the second - the worse case profit. Then, two rules enabling one to compose an optimum portfolio are formulated. The first rule determines the level of acceptance for all assets with given risk/return ratio. The second rule enables one to allocate the investment fund among all the accepted assets. The methodology proposed does not require to specify the individual utility function in an explicit form. It can be used to optimize portfolios composed of equities as well as bond and other securities, using a passive or - active management strategy.
    Źródło:
    Control and Cybernetics; 1998, 27, 3; 429-446
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Application of modern portfolio theory to the Russian state bond market
    Autorzy:
    Pervozvanskij, A.
    Barinov, V.
    Kozlova, O.
    Powiązania:
    https://bibliotekanauki.pl/articles/206658.pdf
    Data publikacji:
    1999
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    optymalizacja
    teoria decyzji
    forecasting
    forecasting errors
    forecasting theory
    investment
    portfolio optimization
    Russian state bond market
    statistical indices
    time series
    Opis:
    The behaviour of the Russian state bond market is analyzed. Attention is mainly paid to short-term fluctuations and efficiency of short-term investments. Analysis of return time series has shown that there exists a significant autocorrelation, and that distribution of random fluctuations is non-Gaussian. It predetermines a choice of forecasting schemes. The most efficient ones appear to be non-linear. The efficiency was checked not only by the traditional statistical indices by direct numerical experiments where various types of predictors were used as basic elements of decision rules. The decision algorithms have included the solution to the modified optimal portfolio problem where the forecasts were used as expected returns and the covariance matrix was estimated via forecasting errors.
    Źródło:
    Control and Cybernetics; 1999, 28, 4; 799-810
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-10 z 10

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