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On the performance of the minimum VaR portfolio

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  • Robert Durand
  • John Gould
  • Ross Maller

Abstract

Alexander and Baptista [2002. Economic implications of using a mean-value-at-risk (VaR) model for portfolio selection: A comparison with mean-variance analysis. Journal of Economic Dynamics and Control 26: 1159-93] develop the concept of mean-VaR efficiency for portfolios and demonstrate its very close connection with mean-variance efficiency. In particular, they identify the minimum VaR portfolio as a special type of mean-variance efficient portfolio. Our empirical analysis finds that, for commonly used VaR breach probabilities, minimum VaR portfolios yield ex post returns that conform well with the specified VaR breach probabilities and with return/risk expectations. These results provide a considerable extension of evidence supporting the empirical validity and tractability of the mean-VaR efficiency concept.

Suggested Citation

  • Robert Durand & John Gould & Ross Maller, 2011. "On the performance of the minimum VaR portfolio," The European Journal of Finance, Taylor & Francis Journals, vol. 17(7), pages 553-576.
  • Handle: RePEc:taf:eurjfi:v:17:y:2011:i:7:p:553-576
    DOI: 10.1080/1351847X.2010.495484
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    References listed on IDEAS

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    1. Gordon J. Alexander & Alexandre M. Baptista, 2004. "A Comparison of VaR and CVaR Constraints on Portfolio Selection with the Mean-Variance Model," Management Science, INFORMS, vol. 50(9), pages 1261-1273, September.
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    3. Eckhard Platen & Renata Rendek, 2007. "Empirical Evidence on Student-t Log-Returns of Diversified World Stock Indices," Research Paper Series 194, Quantitative Finance Research Centre, University of Technology, Sydney.
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    6. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
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    8. William J. Baumol, 1963. "An Expected Gain-Confidence Limit Criterion for Portfolio Selection," Management Science, INFORMS, vol. 10(1), pages 174-182, October.
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    Cited by:

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    3. Taras Bodnar & Yarema Okhrin & Valdemar Vitlinskyy & Taras Zabolotskyy, 2018. "Determination and estimation of risk aversion coefficients," Computational Management Science, Springer, vol. 15(2), pages 297-317, June.

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