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The Effect of Regulatory Constraints on Fund Performance: New Evidence from UCITS Hedge Funds
[Large sample properties of matching estimators for average treatment effects]

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  • Juha Joenväärä
  • Robert Kosowski

Abstract

This article examines the effect of regulatory constraints on fund performance and risk by comparing conventional and UCITS hedge funds. Using a matching estimator approach, we estimate the indirect cost of UCITS regulation to be between 1.06% and 4.05% per annum in terms of risk-adjusted returns. These performance differences are likely to stem from UCITS constraints such as those governing eligible assets, diversification, and short selling, and cannot be explained by differences in redemption terms or level of leverage. We confirm that our performance results are not driven by management company characteristics, fund manager characteristics, or unobserved confounder bias.

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  • Juha Joenväärä & Robert Kosowski, 2021. "The Effect of Regulatory Constraints on Fund Performance: New Evidence from UCITS Hedge Funds [Large sample properties of matching estimators for average treatment effects]," Review of Finance, European Finance Association, vol. 25(1), pages 189-233.
    • Handle: RePEc:oup:revfin:v:25:y:2021:i:1:p:189-233.
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    File URL: http://hdl.handle.net/10.1093/rof/rfaa017
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    1. Getmansky, Mila & Lo, Andrew W. & Makarov, Igor, 2004. "An econometric model of serial correlation and illiquidity in hedge fund returns," Journal of Financial Economics, Elsevier, vol. 74(3), pages 529-609, December.
    2. Nicolas P. B. Bollen & Veronika K. Pool, 2012. "Suspicious Patterns in Hedge Fund Returns and the Risk of Fraud," Review of Financial Studies, Society for Financial Studies, vol. 25(9), pages 2673-2702.
    3. Bollen, Nicolas P. B. & Pool, Veronika K., 2008. "Conditional Return Smoothing in the Hedge Fund Industry," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(2), pages 267-298, June.
    4. Vikas Agarwal, 2004. "Risks and Portfolio Decisions Involving Hedge Funds," Review of Financial Studies, Society for Financial Studies, vol. 17(1), pages 63-98.
    5. Stephen Brown & William Goetzmann & Bing Liang & Christopher Schwarz, 2008. "Mandatory Disclosure and Operational Risk: Evidence from Hedge Fund Registration," Journal of Finance, American Finance Association, vol. 63(6), pages 2785-2815, December.
    6. Banegas, Ayelen & Gillen, Ben & Timmermann, Allan & Wermers, Russ, 2013. "The cross section of conditional mutual fund performance in European stock markets," Journal of Financial Economics, Elsevier, vol. 108(3), pages 699-726.
    7. Tom Nohel & Z. Jay Wang & Lu Zheng, 2010. "Side-by-Side Management of Hedge Funds and Mutual Funds," Review of Financial Studies, Society for Financial Studies, vol. 23(6), pages 2342-2373, June.
    8. Hanno Lustig & Nikolai Roussanov & Adrien Verdelhan, 2011. "Common Risk Factors in Currency Markets," The Review of Financial Studies, Society for Financial Studies, vol. 24(11), pages 3731-3777.
    9. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    10. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    11. Frazzini, Andrea & Pedersen, Lasse Heje, 2014. "Betting against beta," Journal of Financial Economics, Elsevier, vol. 111(1), pages 1-25.
    12. Jonathan Ingersoll & Ivo Welch, 2007. "Portfolio Performance Manipulation and Manipulation-proof Performance Measures," The Review of Financial Studies, Society for Financial Studies, vol. 20(5), pages 1503-1546, 2007 17.
    13. Stephen Brown & William Goetzmann & Bing Liang & Christopher Schwarz, 2008. "Estimating Operational Risk for Hedge Funds: The ?-Score," Yale School of Management Working Papers amz2559, Yale School of Management, revised 11 Sep 2009.
    14. Nicolas P.B. Bollen & Veronika K. Pool, 2009. "Do Hedge Fund Managers Misreport Returns? Evidence from the Pooled Distribution," Journal of Finance, American Finance Association, vol. 64(5), pages 2257-2288, October.
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    Cited by:

    1. Yang, Fan & Havranek, Tomas & Irsova, Zuzana & Novak, Jiri, 2022. "Hedge Fund Performance: A Quantitative Survey," EconStor Preprints 260612, ZBW - Leibniz Information Centre for Economics.

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    More about this item

    Keywords

    Hedge fund performance; Mutual fund performance; Managerial skill; Regulation; Constraints;
    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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