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A strategy-proof test of portfolio returns

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  • Dean P. Foster
  • H. Peyton Young

Abstract

Traditional methods for analyzing portfolio returns often rely on multifactor risk assessment, and tests of significance are typically based on variants of the t-test. This approach has serious limitations when analyzing the returns from dynamically traded portfolios that include derivative positions, because standard tests of significance can be 'gamed' using options trading strategies. To deal with this problem we propose a test that assumes nothing about the structure of returns except that they form a martingale difference. Although the test is conservative and corrects for unrealized tail risk, the loss in power is small at high levels of significance.
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Suggested Citation

  • Dean P. Foster & H. Peyton Young, 2012. "A strategy-proof test of portfolio returns," Quantitative Finance, Taylor & Francis Journals, vol. 12(5), pages 671-683, March.
    • Handle: RePEc:taf:quantf:v:12:y:2012:i:5:p:671-683
    DOI: 10.1080/14697688.2012.678770
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    References listed on IDEAS

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    1. Dean P. Foster & H. Peyton Young, 2010. "Gaming Performance Fees By Portfolio Managers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(4), pages 1435-1458.
    2. Jonathan Ingersoll & Ivo Welch, 2007. "Portfolio Performance Manipulation and Manipulation-proof Performance Measures," The Review of Financial Studies, Society for Financial Studies, vol. 20(5), pages 1503-1546, 2007 17.
    3. Lehrer, Ehud, 2001. "Any Inspection Is Manipulable," Econometrica, Econometric Society, vol. 69(5), pages 1333-1347, September.
    4. Alvaro Sandroni, 2003. "The reproducible properties of correct forecasts," International Journal of Game Theory, Springer;Game Theory Society, vol. 32(1), pages 151-159, December.
    5. Alvaro Sandroni & Rann Smorodinsky & Rakesh V. Vohra, 2003. "Calibration with Many Checking Rules," Mathematics of Operations Research, INFORMS, vol. 28(1), pages 141-153, February.
    6. Michael Villaverde, 2010. "Measuring investment performance consistency," Quantitative Finance, Taylor & Francis Journals, vol. 10(6), pages 565-574.
    7. Thomas M. Cover, 1991. "Universal Portfolios," Mathematical Finance, Wiley Blackwell, vol. 1(1), pages 1-29, January.
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    Cited by:

    1. H Peyton Young & Thomas Noe, 2012. "The Limits to Compensation in the Financial Sector," Economics Series Working Papers 635, University of Oxford, Department of Economics.

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    More about this item

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law

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