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An empirical comparison of different risk measures in portfolio optimization

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  • Hoe, Lam Weng
  • Saiful Hafizah, Jaaman
  • Zaidi, Isa

Abstract

Risk is one of the important parameters in portfolio optimization problem. Since the introduction of the mean-variance model, variance has become the most common risk measure used by practitioners and researchers in portfolio optimization. However, the mean-variance model relies strictly on the assumptions that assets returns are multivariate normally distributed or investors have a quadratic utility function. Many studies have proposed different risk measures to overcome the drawbacks of variance. The purpose of this paper is to discuss and compare the portfolio compositions and performances of four different portfolio optimization models employing different risk measures, specifically the variance, absolute deviation, minimax and semi-variance. Results of this study show that the minimax model outperforms the other models. The minimax model is appropriate for investors who have a strong downside risk aversion.

Suggested Citation

  • Hoe, Lam Weng & Saiful Hafizah, Jaaman & Zaidi, Isa, 2010. "An empirical comparison of different risk measures in portfolio optimization," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 1(01), pages 1-7, April.
    • Handle: RePEc:ags:pdcbeh:95934
    DOI: 10.22004/ag.econ.95934
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    References listed on IDEAS

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    Cited by:

    1. Marah-Lisanne Thormann & Phan Tu Vuong & Alain B. Zemkoho, 2024. "The Boosted Difference of Convex Functions Algorithm for Value-at-Risk Constrained Portfolio Optimization," Papers 2402.09194, arXiv.org.
    2. Pokharel, Krisha Prasad & Featherstone, Allen M. & Archer, David W., 2019. "Estimating Economic Efficiency Under Risk For Agricultural Cooperatives," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 7(2), April.
    3. Carsten Lausberg & Felix Brandt, 2024. "Forecasting risk and return of listed real estate: [Die Prognose von Risiko und Rendite von Immobilienaktien:]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 10(1), pages 1-38, December.
    4. Todor Stoilov & Krasimira Stoilova & Miroslav Vladimirov, 2021. "Explicit Value at Risk Goal Function in Bi-Level Portfolio Problem for Financial Sustainability," Sustainability, MDPI, vol. 13(4), pages 1-14, February.

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