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Methods of finding the effective portfolio for semi-variance

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  • Anna Rutkowska-Ziarko

Abstract

W klasycznym modelu Markowitza ryzyko jest mierzone wariancją stóp zwrotu. Pewną wadą wariancji jako miary ryzyka jest jednakowe traktowanie odchyleń ujemnych i dodatnich od oczekiwanej stopy zwrotu. Markowitz do mierzenia tylko odchyleń ujemnych zdefiniował semiwariancję. Jednak znalezienie portfela o minimalnej semiwariancji jest znacznie trudniejsze niż znalezienie portfela o minimalnej wariancji. Nową metodę znajdowania portfela o minimalnej semiwariancji zaproponowano w niniejszej pracy.

Suggested Citation

  • Anna Rutkowska-Ziarko, 2005. "Methods of finding the effective portfolio for semi-variance," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 15(3-4), pages 63-83.
    • Handle: RePEc:wut:journl:v:3-4:y:2005:p:63-83
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    References listed on IDEAS

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    1. Ogryczak, Wlodzimierz & Ruszczynski, Andrzej, 1999. "From stochastic dominance to mean-risk models: Semideviations as risk measures," European Journal of Operational Research, Elsevier, vol. 116(1), pages 33-50, July.
    2. Hogan, William W. & Warren, James M., 1972. "Computation of the Efficient Boundary in the E-S Portfolio Selection Model," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 7(4), pages 1881-1896, September.
    3. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    4. Babak Eftekhari & Christian Pedersen & Stephen Satchell, 2000. "On the volatility of measures of financial risk: an investigation using returns from European markets," The European Journal of Finance, Taylor & Francis Journals, vol. 6(1), pages 18-38.
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