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A note on statistical models for individual hedge fund returns

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Abstract

In recent years, a large number of research papers and monographs on the analysis of hedge fund returns have been published. Typically, the authors of these studies implicitly or explicitly treat monthly returns of hedge funds as independent and identically distributed observations. The Hedge Fund Index might be able to serve that role. But the returns of an individual hedge fund are not like that. They behave autoregressively depending on the time periods. This stochastic behavior should be modeled as a combined/regime switching stochastic process of two processes: i.i.d. process and autoregressive process. This paper first depicts the autoregressiveness of hedge fund returns. Then we introduce our statistical model for returns of an individual hedge fund and then, with our retrospective view, we perform several data analyses for individual hedge funds’ return data.

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References

  • Agawal V, Naik NY(2000) Performance evaluation of hedge funds with option-based and buy and hold strategies. Centre for Hedge Fund Research and Education Working Paper HF-003, London Business School

  • Anson M (2004) Strategic versus tactical asset allocation. J Portfolio Manage 30(2): 8–22

    Google Scholar 

  • Asness C, Krail R, Liew J (2001) Do hedge funds hedge?. J Portfolio Manage 28(1): 6–19

    Article  Google Scholar 

  • Bollen NPB, Busse JA (2001) On the timing ability of mutual fund managers. J Financ 56: 1075–1094

    Article  Google Scholar 

  • Brown SJ, Goetzman WN (2003) Hedge funds with style. J Portfolio Manage 29(2): 101–112

    Google Scholar 

  • Dopfel FE (2005) How hedge funds fit. J Portfolio Manage 31(4): 9–20

    Google Scholar 

  • Fung W, Hsieh DA (1997) Empirical characteristics of dynamic trading strategies: the case of hedge funds. Rev Financ Stud 10: 275–302

    Article  Google Scholar 

  • Henriksson RD, Merton RC (1981) On market timing and investment performance II: statictical procedures for evaluating forecasting skills. J Bus 54: 513–533

    Article  Google Scholar 

  • Lhabitant FS (2004) Hedge funds: quantitative insights. Wiley, Chichester

    Google Scholar 

  • Liew J, French C (2005) Quantitative topics in hedge fund investing. J Portfolio Manage 31(4): 21–32

    Google Scholar 

  • Lo AW, MacKinlay AC (1999) A non-random walk down wall street. Princeton University Press, Princeton

    Google Scholar 

  • Lo AW (2002) The statistics of sharpe ratios. Financ Anal J 57(6): 36–52

    Article  MathSciNet  Google Scholar 

  • Scholes M, Williams J (1977) Estimating betas from nonsynchronous data. J Financ Econ 5: 309–327

    Article  Google Scholar 

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Correspondence to Ryozo Miura.

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Miura, R., Aoki, Y. & Yokouchi, D. A note on statistical models for individual hedge fund returns. Math Meth Oper Res 69, 553–577 (2009). https://doi.org/10.1007/s00186-008-0251-8

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  • DOI: https://doi.org/10.1007/s00186-008-0251-8

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