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Synthetic hedge funds

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  • Fischer, Mario
  • Hanauer, Matthias X.
  • Heigermoser, Robert

Abstract

We provide evidence on the performance and the replication success of a broad sample of 72 synthetic hedge funds from January 2009 to December 2013. Thereby, we assign the term “synthetic hedge fund” to mutual funds and exchange-traded funds with hedge fund indices as their benchmarks. Replication success is measured through different perspectives from distributional characteristics to risk-adjusted performance. We find an overall significant underperformance of synthetic hedge funds compared to an appropriate benchmark index. Furthermore, mutual funds (associated with active portfolio management) can produce return characteristics closer to hedge fund benchmarks than exchange-traded funds (associated with passive management) can. From a single strategy perspective, we find a picture of heterogeneity. Regarding the market environment, we show larger return differences for unusual market conditions than for regular ones.

Suggested Citation

  • Fischer, Mario & Hanauer, Matthias X. & Heigermoser, Robert, 2016. "Synthetic hedge funds," Review of Financial Economics, Elsevier, vol. 29(C), pages 12-22.
  • Handle: RePEc:eee:revfin:v:29:y:2016:i:c:p:12-22
    DOI: 10.1016/j.rfe.2016.02.002
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    References listed on IDEAS

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    1. Mark Mitchell & Todd Pulvino, 2001. "Characteristics of Risk and Return in Risk Arbitrage," Journal of Finance, American Finance Association, vol. 56(6), pages 2135-2175, December.
    2. Dybvig, Philip H, 1988. "Distributional Analysis of Portfolio Choice," The Journal of Business, University of Chicago Press, vol. 61(3), pages 369-393, July.
    3. Vikas Agarwal, 2004. "Risks and Portfolio Decisions Involving Hedge Funds," Review of Financial Studies, Society for Financial Studies, vol. 17(1), pages 63-98.
    4. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    5. Gregoriou, Greg N., 2006. "Funds of Hedge Funds," Elsevier Monographs, Elsevier, edition 1, number 9780750679848.
    6. William Fung & David A. Hsieh & Narayan Y. Naik & Tarun Ramadorai, 2008. "Hedge Funds: Performance, Risk, and Capital Formation," Journal of Finance, American Finance Association, vol. 63(4), pages 1777-1803, August.
    7. 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.
    8. Fung, William & Hsieh, David A., 2011. "The risk in hedge fund strategies: Theory and evidence from long/short equity hedge funds," Journal of Empirical Finance, Elsevier, vol. 18(4), pages 547-569, September.
    9. Fung, William & Hsieh, David A, 2001. "The Risk in Hedge Fund Strategies: Theory and Evidence from Trend Followers," Review of Financial Studies, Society for Financial Studies, vol. 14(2), pages 313-341.
    10. 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.
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    More about this item

    Keywords

    Clone; Hedge fund; Indexing; Replication;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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