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Conditionally fitted Sharpe performance with an application to hedge fund rating

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  • Darolles, Serge
  • Gourieroux, Christian

Abstract

We define a battery of Sharpe performance measures, which differ by the information taken into account in their computation, but also by the potential use of the fund by the investor. Four advantages of Sharpe performance based rating are especially important for the investor. First, the performance measures correspond to the standard measures used for mutual funds and known by retail investors. Second, we can compare the numerical results, even if they are obtained with different assumptions. Third, the rankings are based on regression analysis and easy to compute. Fourth, we can easily use these performance measures in the design of an optimal basket of hedge funds. Finally, we can use the performance measures to partition the set of funds into homogenous segments.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Banking & Finance.

Volume (Year): 34 (2010)
Issue (Month): 3 (March)
Pages: 578-593

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Handle: RePEc:eee:jbfina:v:34:y:2010:i:3:p:578-593

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Web page: http://www.elsevier.com/locate/jbf

Related research

Keywords: Hedge fund Sharpe ratio Fitted performance Fund rating Segmentation;

References

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Citations

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Cited by:
  1. Kerstens, Kristiaan & Mounir, Amine & de Woestyne, Ignace Van, 2011. "Non-parametric frontier estimates of mutual fund performance using C- and L-moments: Some specification tests," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1190-1201, May.
  2. Schuhmacher, Frank & Eling, Martin, 2011. "Sufficient conditions for expected utility to imply drawdown-based performance rankings," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2311-2318, September.
  3. Schuhmacher, Frank & Eling, Martin, 2012. "A decision-theoretic foundation for reward-to-risk performance measures," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 2077-2082.
  4. Brandouy, Olivier & Briec, Walter & Kerstens, Kristiaan & Van de Woestyne, Ignace, 2010. "Portfolio performance gauging in discrete time using a Luenberger productivity indicator," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1899-1910, August.
  5. Angelidis, Timotheos & Tessaromatis, Nikolaos, 2010. "The efficiency of Greek public pension fund portfolios," Journal of Banking & Finance, Elsevier, vol. 34(9), pages 2158-2167, September.
  6. Alfred Mbairadjim Moussa & Jules Sadefo Kamdem & Michel Terraza, 2012. "Fuzzy risk adjusted performance measures: application to Hedge funds," Working Papers 12-24, LAMETA, Universtiy of Montpellier, revised Sep 2012.
  7. Badrinath, S.G. & Gubellini, S., 2011. "On the characteristics and performance of long-short, market-neutral and bear mutual funds," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1762-1776, July.
  8. Giannikis, Dimitrios & Vrontos, Ioannis D., 2011. "A Bayesian approach to detecting nonlinear risk exposures in hedge fund strategies," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1399-1414, June.

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