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Understanding Mutual Fund and Hedge Fund Styles Using Return Based Style Analysis

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  • Arik Ben Dor
  • Ravi Jagannathan

Abstract

We provide an introduction to the use of return based style analysis of Sharpe (1992) in practice. We demonstrate the importance of selecting the right style benchmarks and how the use of inappropriate style benchmarks may lead to wrong conclusions. When style analysis is applied to sector oriented funds such as healthcare, precious metals, energy, technology, etc., the set of benchmarks should include sector or industry indexes. Following Glosten and Jagannathan (1994), Fung and Hsieh (2001), and Agarwal and Naik (2001), we show how to analyze the investment style of hedge fund managers by including the returns on selected option based strategies as style benchmarks. In the examples we consider, return based style analysis provides insights not available through commonly used 'peer' evaluation alone.

Suggested Citation

  • Arik Ben Dor & Ravi Jagannathan, 2002. "Understanding Mutual Fund and Hedge Fund Styles Using Return Based Style Analysis," NBER Working Papers 9111, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:9111
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    References listed on IDEAS

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    1. Grinblatt, Mark & Titman, Sheridan D, 1989. "Mutual Fund Performance: An Analysis of Quarterly Portfolio Holdings," The Journal of Business, University of Chicago Press, vol. 62(3), pages 393-416, July.
    2. Fung, William & Hsieh, David A., 1999. "A primer on hedge funds," Journal of Empirical Finance, Elsevier, vol. 6(3), pages 309-331, September.
    3. Jennifer Lynch Koski & Jeffrey Pontiff, 1999. "How Are Derivatives Used? Evidence from the Mutual Fund Industry," Journal of Finance, American Finance Association, vol. 54(2), pages 791-816, April.
    4. Dybvig, Philip H & Ross, Stephen A, 1985. " Differential Information and Performance Measurement Using a Security Market Line," Journal of Finance, American Finance Association, vol. 40(2), pages 383-399, June.
    5. Glosten, L. R. & Jagannathan, R., 1994. "A contingent claim approach to performance evaluation," Journal of Empirical Finance, Elsevier, vol. 1(2), pages 133-160, January.
    6. Merton, Robert C, 1981. "On Market Timing and Investment Performance. I. An Equilibrium Theory of Value for Market Forecasts," The Journal of Business, University of Chicago Press, vol. 54(3), pages 363-406, July.
    7. Fung, William & Hsieh, David A, 1997. "Empirical Characteristics of Dynamic Trading Strategies: The Case of Hedge Funds," Review of Financial Studies, Society for Financial Studies, vol. 10(2), pages 275-302.
    8. Liang, Bing, 2000. "Hedge Funds: The Living and the Dead," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(03), pages 309-326, September.
    9. Jagannathan, Ravi & Korajczyk, Robert A, 1986. "Assessing the Market Timing Performance of Managed Portfolios," The Journal of Business, University of Chicago Press, vol. 59(2), pages 217-235, April.
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    Cited by:

    1. Duarte, Jefferson & Longstaff, Francis A. & Yu, Fan, 2005. "Risk and Return in Fixed Income Arbitage: Nickels in Front of a Steamroller?," University of California at Los Angeles, Anderson Graduate School of Management qt6zx6m7fp, Anderson Graduate School of Management, UCLA.
    2. Li, Haitao & Xu, Yuewu & Zhang, Xiaoyan, 2010. "Evaluating asset pricing models using the second Hansen-Jagannathan distance," Journal of Financial Economics, Elsevier, vol. 97(2), pages 279-301, August.
    3. Ravi Jagannathan & Alexey Malakhov & Dmitry Novikov, 2010. "Do Hot Hands Exist among Hedge Fund Managers? An Empirical Evaluation," Journal of Finance, American Finance Association, vol. 65(1), pages 217-255, February.
    4. Robert Faff & Annette Nguyen & Bonnie H.I. Ip & Philip Gharghori, 2012. "Return-based Style Analysis in Australian Funds," Multinational Finance Journal, Multinational Finance Journal, vol. 16(3-4), pages 155-188, September.

    More about this item

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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