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Hedge funds: an industry in its adolescence

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  • William K.H. Fung
  • David A. Hsieh

Abstract

The dramatic increase in the number of hedge funds and the \"institutionalization\" of the industry over the past decade have spurred rigorous research into hedge fund performance. This research has tended to uncover more questions than answers about the dynamic and multifaceted hedge fund industry. ; This article presents a simple hedge fund business model in which fund returns are a function of three key elements -- how the funds trade, where they trade, and how the positions are financed. The article also provides methods to help investors, intermediaries, and regulators identify systemic risk factors inherent in hedge fund strategies. ; Estimating these risk factors requires having an accurate history of hedge fund performance. The authors examine recent statistics from three commercial hedge fund databases and discuss the problems with database biases that must be recognized to obtain accurate measures of returns. ; While the data show that today's hedge funds use myriad strategies that have no uniform definition, the proposed business model implies that hedge fund managers are diversifying in order to maximize the enterprise value of their firms. But this diversification does not preclude the risk of leveraged opinions converging onto the same set of bets. Preventing convergence risk will require action by investors, intermediaries, regulators, and fund managers to improve industry-level disclosure and transparency while preserving the privacy of individual hedge funds' positions.

Suggested Citation

  • William K.H. Fung & David A. Hsieh, 2006. "Hedge funds: an industry in its adolescence," Economic Review, Federal Reserve Bank of Atlanta, vol. 91(Q 4), pages 1-34.
  • Handle: RePEc:fip:fedaer:y:2006:i:q4:p:1-34:n:v.91no.4
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    References listed on IDEAS

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    Cited by:

    1. Fan Yang & Tomas Havranek & Zuzana Irsova & Jiri Novak, 2022. "Hedge Fund Performance: A Quantitative Survey," Working Papers IES 2022/15, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jun 2022.
    2. Haghani, Shermineh, 2014. "Modeling hedge fund lifetimes: A dependent competing risks framework with latent exit types," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 291-320.
    3. Auer, Benjamin R., 2014. "Should hedge funds be cautious reporting high returns?," Research in International Business and Finance, Elsevier, vol. 30(C), pages 195-201.
    4. Zhigu He & Arvind Krishnamurthy, 2012. "A Model of Capital and Crises," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(2), pages 735-777.
    5. Dragomirescu-Gaina, Catalin & Philippas, Dionisis & Tsionas, Mike G., 2021. "Trading off accuracy for speed: Hedge funds' decision-making under uncertainty," International Review of Financial Analysis, Elsevier, vol. 75(C).
    6. Roman Tancar & Jan Viebig, 2008. "Alternative beta applied—an introduction to hedge fund replication," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 22(3), pages 259-279, September.
    7. Roumpis, Efthymios & Syriopoulos, Theodore, 2014. "Dynamics and risk factors in hedge funds returns: Implications for portfolio construction and performance evaluation," The Journal of Economic Asymmetries, Elsevier, vol. 11(C), pages 58-77.
    8. Soosung Hwang & Alexandre Rubesam, 2015. "The disappearance of momentum," The European Journal of Finance, Taylor & Francis Journals, vol. 21(7), pages 584-607, May.
    9. Robert M. Hull & Sungkyu Kwak & Rosemary Walker, 2018. "Hedge fund attributes, insider behavior, and IPO volatility," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(2), pages 268-292, April.
    10. 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.
    11. Funga, William & Hsiehb, David A., 2013. "Hedge Funds," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1063-1125, Elsevier.
    12. Dichev, Ilia D. & Yu, Gwen, 2011. "Higher risk, lower returns: What hedge fund investors really earn," Journal of Financial Economics, Elsevier, vol. 100(2), pages 248-263, May.
    13. Steven Malliaris & Hongjun Yan, 2008. "Nickels versus Black Swans: Reputation, Trading Strategies and Asset Prices," Yale School of Management Working Papers amz2380, Yale School of Management, revised 01 Mar 2009.
    14. 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.
    15. Cumming, Douglas & Dai, Na & Johan, Sofia, 2020. "Dodd-Franking the hedge Funds," Journal of Banking & Finance, Elsevier, vol. 119(C).
    16. Steven Malliaris & Hongjun Yan, 2008. "Nickels versus Black Swans: Reputation, Trading Strategies and Asset Prices," Yale School of Management Working Papers amz2380, Yale School of Management, revised 01 Mar 2009.
    17. Cumming, Douglas & Dai, Na & Johan, Sofia, 2015. "Are hedge funds registered in Delaware different?," Journal of Corporate Finance, Elsevier, vol. 35(C), pages 232-246.
    18. Edelman, Daniel & Fung, William & Hsieh, David A., 2013. "Exploring uncharted territories of the hedge fund Industry: Empirical characteristics of mega hedge fund firms," Journal of Financial Economics, Elsevier, vol. 109(3), pages 734-758.
    19. Benjamin Auer, 2013. "The low return distortion of the Sharpe ratio," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 27(3), pages 299-306, September.

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