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Nonparametric Analysis of Hedge Funds Lifetimes

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  • Darolles, Serge
  • Florens, Jean-Pierre
  • Simon, Guillaume

Abstract

Most of hedge funds databases are now keeping history of dead funds in order to control biases in empirical analysis. It is then possible to use these data for the analysis of hedge funds lifetimes and survivorship. This paper proposes two nonparametric specifications of duration models. First, the single risk model is an alternative to parametric duration models used in the literature. Second, the competing risks model consider the two reasons why hedge funds stop reporting. We apply the two models to hedge funds data and compare our results to the literature. In particular, we show that a cohort effect must be considered. Moreover, the reason of the exit is a crucial information for the analysis of funds' survival as for a large part of disappearing funds, exit cannot be explained by low performance or low level of assets.

Suggested Citation

  • Darolles, Serge & Florens, Jean-Pierre & Simon, Guillaume, 2010. "Nonparametric Analysis of Hedge Funds Lifetimes," TSE Working Papers 10-174, Toulouse School of Economics (TSE).
    • Handle: RePEc:tse:wpaper:22881
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    References listed on IDEAS

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    1. Lunde, Asger & Timmermann, Allan & Blake, David, 1999. "The hazards of mutual fund underperformance: A Cox regression analysis," Journal of Empirical Finance, Elsevier, vol. 6(2), pages 121-152, April.
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    11. Fabien Couderc, 2005. "Understanding Default Risk Through Nonparametric Intensity Estimation," FAME Research Paper Series rp141, International Center for Financial Asset Management and Engineering.
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    Cited by:

    1. Haghani, Shermineh, 2014. "Modeling hedge fund lifetimes: A dependent competing risks framework with latent exit types," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 291-320.

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