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An Empirical Comparison of Stochastic Dominance and Mean-Variance Portfolio Choice Criteria

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  • Porter, R. Burr

Abstract

An important issue in the financial literature concerns the conflict between the stochastic dominance (SD) and the mean-variance (EV) methods of choosing optimal portfolios of risky assets. Much of the recent theoretical and empirical work in portfolio analysis has been devoted to the extension and testing of the Markowitz two-moment model, in which it is assumed that either (a) decision makers have quadratic utility functions with negative second derivatives or (b) the probability functions are from some appropriate two-parameter family and the investor is risk averse.

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  • Porter, R. Burr, 1973. "An Empirical Comparison of Stochastic Dominance and Mean-Variance Portfolio Choice Criteria," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 8(4), pages 587-608, September.
    • Handle: RePEc:cup:jfinqa:v:8:y:1973:i:04:p:587-608_01
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    Cited by:

    1. Drynan, Ross G., 1986. "A Note On Optimal Rules For Stochastic Efficiency Analysis," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 30(1), pages 1-10, April.
    2. Abu-Alkheil, Ahmad & Khan, Walayet A. & Parikh, Bhavik & Mohanty, Sunil K., 2017. "Dynamic co-integration and portfolio diversification of Islamic and conventional indices: Global evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 212-224.
    3. Dominic Gasbarro & Wing-Keung Wong & J. Kenton Zumwalt, 2007. "Stochastic Dominance Analysis of iShares," The European Journal of Finance, Taylor & Francis Journals, vol. 13(1), pages 89-101.
    4. Wong, Wing-Keung & Phoon, Kok Fai & Lean, Hooi Hooi, 2008. "Stochastic dominance analysis of Asian hedge funds," Pacific-Basin Finance Journal, Elsevier, vol. 16(3), pages 204-223, June.
    5. Walton Taylor & James Yoder, 1999. "Load and no-load mutual fund dynamics during the 1987 market crash: A stochastic dominance analysis," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 23(3), pages 255-265, September.
    6. Hooi Lean & Kok Phoon & Wing-Keung Wong, 2013. "Stochastic dominance analysis of CTA funds," Review of Quantitative Finance and Accounting, Springer, vol. 40(1), pages 155-170, January.
    7. Robison, Lindon J. & Hanson, Steven D., 1995. "Analyzing Firm Response to Risk Using Mean-Variance Models," Staff Paper Series 201207, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    8. Marat Molyboga & Seungho Baek & John F. O. Bilson, 2017. "Assessing hedge fund performance with institutional constraints: evidence from CTA funds," Journal of Asset Management, Palgrave Macmillan, vol. 18(7), pages 547-565, December.
    9. Peter Calkins, 2009. "Sufficiency Economy Matrices: Multi-Period Optimization for Local Development Planners," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 5(2), pages 305-332, July.
    10. Chun-Kei Tsang & Wing-Keung Wong & Ira Horowitz, 2016. "Arbitrage opportunities, efficiency, and the role of risk preferences in the Hong Kong property market," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 33(4), pages 735-754, October.
    11. Lam, Kin & Lean, Hooi Hooi & Wong, Wing-Keung, 2016. "Stochastic Dominance and Investors’ Behavior towards Risk: The Hong Kong Stocks and Futures Markets," MPRA Paper 74386, University Library of Munich, Germany.
    12. Shalit, Haim & Yitzhaki, Shlomo, 1985. "Evaluating the Mean-Gini Approach to Portfolio Selection," Working Papers 232632, Hebrew University of Jerusalem, Center for Agricultural Economic Research.
    13. Abhay Abhyankar & Keng-Yu Ho & Huainan Zhao, 2009. "International value versus growth: evidence from stochastic dominance analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 14(3), pages 222-232.
    14. Li, Xiaoming, 2008. "Demand evolution in stochastic inventory systems: Riskiness increase," International Journal of Production Economics, Elsevier, vol. 116(2), pages 182-189, December.
    15. Al-Khazali, Osamah & Lean, Hooi Hooi & Samet, Anis, 2014. "Do Islamic stock indexes outperform conventional stock indexes? A stochastic dominance approach," Pacific-Basin Finance Journal, Elsevier, vol. 28(C), pages 29-46.
    16. Abhay Abhyankar & Keng-Yu Ho & Huainan Zhao, 2005. "Long-run post-merger stock performance of UK acquiring firms: a stochastic dominance perspective," Applied Financial Economics, Taylor & Francis Journals, vol. 15(10), pages 679-690.
    17. Abhay Abhyankar & Keng-Yu Ho & Huainan Zhao, 2008. "Value versus growth: stochastic dominance criteria," Quantitative Finance, Taylor & Francis Journals, vol. 8(7), pages 693-704.
    18. Stephen P. D'Arcy & Richard W. Gorvett, 2004. "The Use of Dynamic Financial Analysis to Determine Whether an Optimal Growth Rate Exists for a Property‐Liability Insurer," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 71(4), pages 583-615, December.
    19. Abhyankar, Abhay & Chen, Hsuan-Chi & Ho, Keng-Yu, 2006. "The long-run performance of initial public offerings: Stochastic dominance criteria," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(4), pages 620-637, September.
    20. Dominic Gasbarro & Wing-Keung Wong & J. Kenton Zumwalt, 2007. "Stochastic Dominance Analysis of iShares," The European Journal of Finance, Taylor & Francis Journals, vol. 13(1), pages 89-101.
    21. Tsang, Chun-Kei & Wong, Wing-Keung & Horowitz, Ira, 2016. "A stochastic-dominance approach to determining the optimal home-size purchase: The case of Hong Kong," MPRA Paper 69175, University Library of Munich, Germany.
    22. Cochran, Mark J., 1986. "Stochastic Dominance: The State Of The Art In Agricultural Economics," Regional Research Projects > 1986: S-180 Annual Meeting, March 23-26, 1986, Tampa, Florida 271995, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.

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