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Hedge Fund Performance during and after the Crisis: A Comparative Analysis of Strategies 2007–2017

Author

Listed:
  • Nicola Metzger

    (Independent Researcher, University of Westminster, London W1B 2HW, UK)

  • Vijay Shenai

    (Independent Researchert, University of Lincoln, Lincoln LN6 7TS, UK)

Abstract

The performance of hedge funds is of interest to investors looking for ways of generating value over passive strategies, particularly in bad times. This study used the Hedge Index database with over 9500 hedge funds to analyse, in depth, the performance of ten major strategies, during and after the financial crisis (June 2007–January 2017). To the best of our knowledge, such a study covering the last ten years has not been published. Performance of the various strategies was analysed, using correlations, the Carhart’s four factor model, persistence of performance, and reward-risk ratios. The findings are that some hedge fund strategies which have persistent performances are also able to outperform the benchmark in some periods. In the crisis period, value-wise, all strategies did better than the S&P500, thereby, conserving value for investors, better than passive investment in the S&P500. Over the entire period of the research (June 2007–January 2017), seven strategies performed better than the S&P500: Global Macro, Multi Strategy, Emerging Markets, Long/Short Equity, Event Driven, Convertible Arbitrage, and Fixed Income Arbitrage. As hedge funds typically have skewed return distributions, performance was analysed in different periods, within conventional and downside risk frameworks. This research contributes to the advancement of knowledge on the outcomes of hedge fund strategies in different market conditions and the reliability of alternative risk frameworks in their evaluation. Apart from the theoretical implications, this research provides practical knowledge to managers and investors on which strategies hold better value and in what circumstances.

Suggested Citation

  • Nicola Metzger & Vijay Shenai, 2019. "Hedge Fund Performance during and after the Crisis: A Comparative Analysis of Strategies 2007–2017," IJFS, MDPI, vol. 7(1), pages 1-31, March.
  • Handle: RePEc:gam:jijfss:v:7:y:2019:i:1:p:15-:d:211582
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    References listed on IDEAS

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    1. Noël Amenc & Lionel Martellini & Mathieu Vaissié, 2003. "Benefits and risks of alternative investment strategies," Journal of Asset Management, Palgrave Macmillan, vol. 4(2), pages 96-118, August.
    2. S. P. Kothari & Jerold B. Warner, 2001. "Evaluating Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 56(5), pages 1985-2010, October.
    3. Do, Viet & Faff, Robert & Wickramanayake, J., 2005. "An empirical analysis of hedge fund performance: The case of Australian hedge funds industry," Journal of Multinational Financial Management, Elsevier, vol. 15(4-5), pages 377-393, October.
    4. Stoforos, Chrysostomos E. & Degiannakis, Stavros & Palaskas, Theodosios B., 2017. "Hedge fund returns under crisis scenarios: A holistic approach," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1196-1207.
    5. Ashraf Chaudhry & Helen L. Johnson, 2008. "The Efficacy of the Sortino Ratio and Other Benchmarked Performance Measures Under Skewed Return Distributions," Australian Journal of Management, Australian School of Business, vol. 32(3), pages 485-502, March.
    6. Amin, Gaurav S. & Kat, Harry M., 2003. "Hedge Fund Performance 1990–2000: Do the “Money Machines” Really Add Value?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 38(2), pages 251-274, June.
    7. Jordão, Gustavo A. & de Moura, Marcelo L., 2011. "Performance analysis of Brazilian hedge funds," Journal of Multinational Financial Management, Elsevier, vol. 21(3), pages 165-176, July.
    8. Stafylas, Dimitrios & Anderson, Keith & Uddin, Moshfique, 2017. "Recent advances in explaining hedge fund returns: Implicit factors and exposures," Global Finance Journal, Elsevier, vol. 33(C), pages 69-87.
    9. Carl Ackermann & Richard McEnally & David Ravenscraft, 1999. "The Performance of Hedge Funds: Risk, Return, and Incentives," Journal of Finance, American Finance Association, vol. 54(3), pages 833-874, June.
    10. Capocci, Daniel & Hubner, Georges, 2004. "Analysis of hedge fund performance," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 55-89, January.
    11. Slavutskaya, Anna, 2013. "Short-term hedge fund performance," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4404-4431.
    12. Eling, Martin & Schuhmacher, Frank, 2007. "Does the choice of performance measure influence the evaluation of hedge funds?," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2632-2647, September.
    13. Baquero, Guillermo & ter Horst, Jenke & Verbeek, Marno, 2005. "Survival, Look-Ahead Bias, and Persistence in Hedge Fund Performance," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 40(3), pages 493-517, September.
    14. Brown, Stephen J & Goetzmann, William N & Ibbotson, Roger G, 1999. "Offshore Hedge Funds: Survival and Performance, 1989-95," The Journal of Business, University of Chicago Press, vol. 72(1), pages 91-117, January.
    15. Vikas Agarwal, 2004. "Risks and Portfolio Decisions Involving Hedge Funds," The Review of Financial Studies, Society for Financial Studies, vol. 17(1), pages 63-98.
    16. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    17. Schaub, Nic & Schmid, Markus, 2013. "Hedge fund liquidity and performance: Evidence from the financial crisis," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 671-692.
    18. Agarwal, Vikas & Naik, Narayan Y., 2000. "Multi-Period Performance Persistence Analysis of Hedge Funds," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(3), pages 327-342, September.
    19. Stephen J. Brown & William N. Goetzmann & James Park, 2001. "Careers and Survival: Competition and Risk in the Hedge Fund and CTA Industry," Journal of Finance, American Finance Association, vol. 56(5), pages 1869-1886, October.
    20. Zheng Sun & Ashley W. Wang & Lu Zheng, 2016. "Only Winners in Tough Times Repeat: Hedge Fund Performance Persistence over Different Market Conditions," Finance and Economics Discussion Series 2016-030, Board of Governors of the Federal Reserve System (U.S.).
    21. Fung, William & Hsieh, David A, 2001. "The Risk in Hedge Fund Strategies: Theory and Evidence from Trend Followers," The Review of Financial Studies, Society for Financial Studies, vol. 14(2), pages 313-341.
    22. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    23. Fung, William & Hsieh, David A, 1997. "Empirical Characteristics of Dynamic Trading Strategies: The Case of Hedge Funds," The Review of Financial Studies, Society for Financial Studies, vol. 10(2), pages 275-302.
    24. William Fung & David A. Hsieh, 2004. "Hedge Fund Benchmarks: A Risk-Based Approach," Financial Analysts Journal, Taylor & Francis Journals, vol. 60(5), pages 65-80, September.
    25. Bernd Scherer, 2004. "An alternative route to performance hypothesis testing," Journal of Asset Management, Palgrave Macmillan, vol. 5(1), pages 5-12, June.
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