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Downside risk and asset pricing

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  • Post, Thierry
  • van Vliet, Pim

Abstract

We analyze if the value-weighted stock market portfolio is second-order stochastic dominance (SSD) efficient relative to benchmark portfolios formed on size, value, and momentum. In the process, we also develop several methodological improvements to the existing tests for SSD efficiency. Interestingly, the market portfolio is SSD efficient relative to all benchmark sets. By contrast, the market portfolio is inefficient if we replace the SSD criterion with the traditional mean-variance criterion. Combined these results suggests that the mean-variance inefficiency of the market portfolio is caused by the omission of return moments other than variance. Especially downside risk seems to be important for rationalizing asset pricing puzzles in the 1970s and the early 1980s.
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  • Post, Thierry & van Vliet, Pim, 2006. "Downside risk and asset pricing," Journal of Banking & Finance, Elsevier, vol. 30(3), pages 823-849, March.
  • Handle: RePEc:eee:jbfina:v:30:y:2006:i:3:p:823-849
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    Cited by:

    1. Thierry Post & Pim Vliet, 2004. "Market portfolio efficiency and value stocks," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 28(3), pages 300-306, September.
    2. Lesław Markowski, 2015. "Conditional Volatility Exposures in Asset Pricing in the Downside and Classical Framework," Research in Economics and Business: Central and Eastern Europe, Tallinn School of Economics and Business Administration, Tallinn University of Technology, vol. 7(1).
    3. Knoke, Thomas, 2008. "Mixed forests and finance -- Methodological approaches," Ecological Economics, Elsevier, vol. 65(3), pages 590-601, April.
    4. Piljak, Vanja & Swinkels, Laurens, 2017. "Frontier and emerging government bond markets," Emerging Markets Review, Elsevier, vol. 30(C), pages 232-255.
    5. Olmo, J., 2007. "An asset pricing model for mean-variance-downside-risk averse investors," Working Papers 07/01, Department of Economics, City University London.
    6. Li, Sheng & Linton, Oliver, 2007. "Evaluating hedge fund performance: a stochastic dominance approach," LSE Research Online Documents on Economics 24486, London School of Economics and Political Science, LSE Library.
    7. Levy, Haim & Levy, Moshe, 2009. "The safety first expected utility model: Experimental evidence and economic implications," Journal of Banking & Finance, Elsevier, vol. 33(8), pages 1494-1506, August.
    8. Lesław Markowski, 2016. "Dolnostronne miary ryzyka a wycena aktywów kapitałowych na przykładzie sektora IT i mediów Giełdy Papierów Wartościowych w Warszawie," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 40, pages 439-452.
    9. Tsai, Hsiu-Jung & Chen, Ming-Chi & Yang, Chih-Yuan, 2014. "A time-varying perspective on the CAPM and downside betas," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 440-454.
    10. Eikseth, Hans Marius & Lindset, Snorre, 2009. "A note on capital asset pricing and heterogeneous taxes," Journal of Banking & Finance, Elsevier, vol. 33(3), pages 573-577, March.
    11. Philip A. Horvath & Amit K. Sinha, 2017. "Asymmetric reaction is rational behavior," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(1), pages 160-179, January.
    12. Post, Thierry, 2008. "On the dual test for SSD efficiency: With an application to momentum investment strategies," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1564-1573, March.
    13. Potì, Valerio & Wang, DengLi, 2010. "The coskewness puzzle," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1827-1838, August.
    14. Rudolf F. Klein & K. Victor Chow, 2010. "Sentiment Effect and Market Portfolio Inefficiency," Working Papers 10-08, Department of Economics, West Virginia University.
    15. Clasen, Christian & Griess, Verena C. & Knoke, Thomas, 2011. "Financial consequences of losing admixed tree species: A new approach to value increased financial risks by ungulate browsing," Forest Policy and Economics, Elsevier, vol. 13(6), pages 503-511, July.
    16. repec:kap:jrefec:v:56:y:2018:i:2:d:10.1007_s11146-016-9593-9 is not listed on IDEAS
    17. Ho, Chienwei & Hung, Chi-Hsiou, 2009. "Investor sentiment as conditioning information in asset pricing," Journal of Banking & Finance, Elsevier, vol. 33(5), pages 892-903, May.
    18. Post, G.T. & van Vliet, P., 2004. "Conditional Downside Risk and the CAPM," ERIM Report Series Research in Management ERS-2004-048-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    19. Hildebrandt, Patrick & Knoke, Thomas, 2011. "Investment decisions under uncertainty--A methodological review on forest science studies," Forest Policy and Economics, Elsevier, vol. 13(1), pages 1-15, January.
    20. Galagedera, Don U.A. & Brooks, Robert D., 2007. "Is co-skewness a better measure of risk in the downside than downside beta?: Evidence in emerging market data," Journal of Multinational Financial Management, Elsevier, vol. 17(3), pages 214-230, July.
    21. Fang, Yi, 2012. "Aggregate investor preferences and beliefs in stock market: A stochastic dominance analysis," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 528-547.
    22. Hwang, Young-Soon & Min, Hong-Ghi & McDonald, Judith A. & Kim, Hwagyun & Kim, Bong-Han, 2010. "Using the credit spread as an option-risk factor: Size and value effects in CAPM," Journal of Banking & Finance, Elsevier, vol. 34(12), pages 2995-3009, December.

    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G3 - Financial Economics - - Corporate Finance and Governance
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics

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