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Finanse, Rynki Finansowe, Ubezpieczenia

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Struktura portfeli efektywnych w modelach średnia-wariancja-skośność


(The structure of efficient portfolios in mean-variance-skewness models)
DOI: 10.18276/frfu.2017.86-15
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Abstract

Purpose – The distributions of rates of return observed in the investment practice are asymmetric, so the models which take into account only the mean and variance lack important features of portfolios. The aim of this paper is to analyse the degree of portfolio diversification, considering additional criterion of maximisation of the third central moment as a measure of skewness. Design/Methodology/approach – In this paper we analyse the subsets of efficient portfolios which have the same structure. Using additional criterion of maximisation of the third central moment we determine the optimal portfolios having the same degree of diversification. In our research we analyse portfolios of stocks listed on Warsaw Stock Exchange. Findings – We show that consideration of skewness in the efficient portfolio analysis changes the struc-ture of optimal portfolios significantly. The greater the strength of preferences for skewness the lower the degree of portfolio diversification. Originality/value – We propose a three-criteria optimal portfolio selection model which maximises the expected value and skewness and minimises the variance. Parametric analysis of the level of diversifica-tion allows us to study the stability of the structure of optimal portfolios in relation to the investor prefer-ences regarding the expected return and skewness.
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Bibliography (23)
  1. Arditti, F. D. (1975). Skewness and Investor’s Decisions: A Reply. The Journal of Financial and Quantitative Analysis, 10, 173-176.
  2. Athayde, G., Flores, R. (2004). Finding a Maximum Skewness Portfolio – A General Solution to Three-Moments Portfolio Choice. Journal of Economic Dynamics and Control, 28, 1335-1352.
  3. Barone-Adesi, G. (1985). Arbitrage Equilibrium with Skewed Asset Returns. Journal of Financial and Quantita-tive Analysis, 20, 299-313.
  4. Briec, W., Kerstens, K., Van de Woestyne, I. (2013). Portfolio selection with skewness: A comparison of methods and a generalized one fund result. European Journal of Operational Research, 230, 412-421.
  5. Dudzińska, R. (2002). Wykorzystanie portfeli rogowych do wyznaczania linii efektywnej. W: T. Trzaskalik (red.), Modelowanie preferencji a ryzyko '02 (s. 93-106). Katowice: Wydawnictwo Akademii Ekonomicznej w Katowicach.
  6. Dudzińska-Baryła, R., Kopańska-Bródka, D., Michalska, E. (2015). Analiza portfeli narożnych z uwzględnie-niem skośności. Zeszyty Naukowe Uniwersytetu Szczecińskiego nr 862. Finanse, Rynki Finansowe, Ub-ezpieczenia nr 75, 123-133.
  7. Guidolin, M., Timmermann, A. (2008). International Asset Allocation under Regime Switching, Skew, and Kur-tosis Preferences. Review of Financial Studies, 21, 889-935.
  8. Haugen, R. A. (1996). Teoria nowoczesnego inwestowania. Warszawa: WIG-Press.
  9. Kane, A. (1982). Skewness Preference and Portfolio Choice. Journal of Financial and Quantitative Analysis, 17, 15-25.
  10. Kemalbay, G., Özkut, C. M., Franko, C. (2011). Portfolio Selection with Higher Moments: A Polynomial Goal Programming Approach to ISE-30 Index. Ekonometri ve İstatistik Sayı, 13, 41-61.
  11. Kim, W. Ch., Fabozzi, F. J., Cheridito, P., Fox, Ch. (2014). Controlling Portfolio Skewness and Kurtosis Without Directly Optimizing Third and Fourth Moments. Economic Letters, 122, 154-158.
  12. Konno, H., Shirakawa, H., Yamazaki, H. (1993). A Mean-absolute Deviation-skewness Portfolio Optimization Model. Annals of Operations Research, 45, 205-220.
  13. Kopańska-Bródka, D. red. (2004). Wybrane problemy ilościowej analizy portfeli akcji. Katowice: Wydawnic-two Akademii Ekonomicznej w Katowicach.
  14. Kopańska-Bródka, D. (2014). Optymalny portfel inwestycyjny z kryterium maksymalnej skośności, Studia Ekonomiczne. Zeszyty Naukowe Wydziałowe Uniwersytetu Ekonomicznego w Katowicach, 208, 46-58.
  15. Lai, T. (1991). Portfolio Selection with Skewness: A Multi-Objective Approach. Review of Quantitative Finance and Accounting, 1, 293-305.
  16. Li, X., Qin, Z., Kar, S. (2010). Mean-variance-skewness Model for Portfolio Selection with Fuzzy Returns. Euro-pean Journal of Operational Research, 202, 239-247.
  17. Malevergne, Y., Sornette, D. (2005). Higher-Moment Portfolio Theory. Journal of Portfolio Management, 31, 49-55.
  18. Nguyen, T.T., Chen, J.T., Gupta, A.K. (2003). A proof of the conjecture on positive skewness of generalised inverse Gaussian distributions. Biometrika, 90(1), 245–250
  19. Piasecki, K., Tomasik, E. (2013). Rozkład stóp zwrotu z instrumentów polskiego rynku kapitałowego. Kraków-Warszawa: edu-Libri.
  20. Proelss, J., Schweizer, D. (2014). Polynomial Goal Programming and the Implicit Higher Moment Preferences of US Institutional Investors in Hedge Funds. Financial Markets and Portfolio Management, 28, 1-28.
  21. Sharpe, W. F. (2000). Macro-Investment Analysis: Optimization. The Critical Line Method, Pobrane z: http://web.stanford.edu/~wfsharpe/mia/opt/mia_opt3.htm (12.03.2016).
  22. Simonson, D. (1972). The Speculative Behavior of Mutual Funds. Journal of Finance, 27, 381-391.
  23. Xiong, J. X., Idzorek, T. M. (2011). The Impact of Skewness and Fat Tails on the Asset Allocation Decision. Financial Analysts Journal, 67, 23-35.