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The performance of hedge funds and mutual funds in emerging markets

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  • Eling, Martin
  • Faust, Roger

Abstract

Use of short selling and derivatives is limited in most emerging markets because such instruments are not as readily available as they are in developed capital markets. These limitations raise questions about the value added provided by hedge funds, especially compared to traditional mutual funds active in these markets. We use five existing performance measurement models plus a new asset-style factor model to identify the return sources and the alpha generated by both types of funds. We analyze subperiods, different market environments, and structural breaks. Our results indicate that some hedge funds generate significant positive alpha, whereas most mutual funds do not outperform traditional benchmarks. We find that hedge funds are more active in shifting their asset allocation. The higher degree of freedom that hedge funds enjoy in their investment style might thus be one explanation for the differences in performance.

Suggested Citation

  • Eling, Martin & Faust, Roger, 2010. "The performance of hedge funds and mutual funds in emerging markets," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1993-2009, August.
  • Handle: RePEc:eee:jbfina:v:34:y:2010:i:8:p:1993-2009
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    Cited by:

    1. Guo, Biao & Xiao, Yugu, 2016. "A note on why doesn't the choice of performance measure matter?," Finance Research Letters, Elsevier, vol. 16(C), pages 248-254.
    2. Basu, Anup K. & Huang-Jones, Jason, 2015. "The performance of diversified emerging market equity funds," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 35(C), pages 116-131.
    3. Kerstens, Kristiaan & Mounir, Amine & de Woestyne, Ignace Van, 2011. "Non-parametric frontier estimates of mutual fund performance using C- and L-moments: Some specification tests," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1190-1201, May.
    4. Darolles, Serge & Vaissié, Mathieu, 2012. "The alpha and omega of fund of hedge fund added value," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 1067-1078.
    5. Giannikis, Dimitrios & Vrontos, Ioannis D., 2011. "A Bayesian approach to detecting nonlinear risk exposures in hedge fund strategies," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1399-1414, June.
    6. R. G Gelos, 2011. "International Mutual Funds, Capital Flow Volatility, and Contagion – A Survey," IMF Working Papers 11/92, International Monetary Fund.
    7. Jacobs, Heiko, 2016. "Market maturity and mispricing," Journal of Financial Economics, Elsevier, vol. 122(2), pages 270-287.
    8. Jin, Hui & Cao, Yanka, 2014. "Panel Data Analysis of Performance of QDII Equity Funds in China," MPRA Paper 55855, University Library of Munich, Germany.
    9. Aiken, Adam L. & Kilic, Osman & Reid, Sean, 2016. "Can hedge funds time global equity markets? Evidence from emerging markets," Review of Financial Economics, Elsevier, vol. 29(C), pages 2-11.
    10. Park, Hyuna, 2015. "Emerging market hedge funds in the United States," Emerging Markets Review, Elsevier, vol. 22(C), pages 25-42.
    11. Grose, Chris & Dasilas, Apostolos & Alexakis, Christos, 2014. "Performance persistence in fixed interest funds: With an eye on the post-debt crisis period," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 155-182.
    12. Bussière, Matthieu & Hoerova, Marie & Klaus, Benjamin, 2015. "Commonality in hedge fund returns: Driving factors and implications," Journal of Banking & Finance, Elsevier, vol. 54(C), pages 266-280.
    13. Chris GROSE & Theodoros KARGIDIS, 2012. "Persistence In Performance For Mutual Funds In Periods Of Crisis," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 11(1), pages 85-98.
    14. Schuhmacher, Frank & Eling, Martin, 2012. "A decision-theoretic foundation for reward-to-risk performance measures," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 2077-2082.
    15. Schuhmacher, Frank & Eling, Martin, 2011. "Sufficient conditions for expected utility to imply drawdown-based performance rankings," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2311-2318, September.
    16. Mamatzakis, E & Babalos, Vassilios & filipas, n, 2013. "Fund Performance Evaluation in Greece Revisited: Evidence from the Impact of Operational Attributes," MPRA Paper 51640, University Library of Munich, Germany.
    17. repec:eee:mulfin:v:40:y:2017:i:c:p:47-62 is not listed on IDEAS
    18. repec:eee:ememar:v:33:y:2017:i:c:p:62-78 is not listed on IDEAS
    19. Wegener, Christian & von Nitzsch, Rüdiger & Cengiz, Cetin, 2010. "An advanced perspective on the predictability in hedge fund returns," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2694-2708, November.
    20. Gustavo Passarelli Giroud Joaquim & Marcelo Leite Moura, 2011. "Performance and Persistence of Brazilian Hedge Funds During the Financial Crisis," Brazilian Review of Finance, Brazilian Society of Finance, vol. 9(4), pages 525-548.
    21. Cumming, Douglas & Zhang, Yelin, 2016. "Alternative investments in emerging markets: A review and new trends," Emerging Markets Review, Elsevier, vol. 29(C), pages 1-23.
    22. Peter Klein & Daryl Purdy & Isaac Schweigert & Alexander Vedrashko, 2015. "The Canadian Hedge Fund Industry: Performance and Market Timing," International Review of Finance, International Review of Finance Ltd., vol. 15(3), pages 283-320, September.

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