IDEAS home Printed from https://ideas.repec.org/a/oup/revfin/v25y2021i1p189-233..html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/rof/rfaa017
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    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," The 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," The 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," The 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yang, Fan & Havranek, Tomas & Irsova, Zuzana & Novak, Jiri, 2024. "Where Have All the Alphas Gone? A Meta-Analysis of Hedge Fund Performance," EconStor Preprints 289497, ZBW - Leibniz Information Centre for Economics.
    2. Yang, Fan & Havranek, Tomas & Irsova, Zuzana & Novak, Jiri, 2022. "Hedge Fund Performance: A Quantitative Survey," EconStor Preprints 260612, ZBW - Leibniz Information Centre for Economics.
    3. Marohn, Marcel & Auer, Benjamin R., 2024. "A note on Steuer and Utz’s (2023) multi-objective optimization approach for generating sustainability-efficient fronts," European Journal of Operational Research, Elsevier, vol. 316(2), pages 792-797.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andrew W. Lo & Mila Getmansky & Peter A. Lee, 2015. "Hedge Funds: A Dynamic Industry in Transition," Annual Review of Financial Economics, Annual Reviews, vol. 7(1), pages 483-577, December.
    2. Hao Liang & Lin Sun & Melvyn Teo, 2022. "Responsible Hedge Funds [Role of managerial incentives and discretion in hedge fund performance]," Review of Finance, European Finance Association, vol. 26(6), pages 1585-1633.
    3. Bali, Turan G. & Brown, Stephen J. & Caglayan, Mustafa O., 2019. "Upside potential of hedge funds as a predictor of future performance," Journal of Banking & Finance, Elsevier, vol. 98(C), pages 212-229.
    4. Cici, Gjergji & Kempf, Alexander & Pütz, Alexander, 2011. "The valuation of hedge funds' equity positions," CFR Working Papers 10-15 [rev.], University of Cologne, Centre for Financial Research (CFR).
    5. Joenväärä, Juha & Kauppila, Mikko & Kahra, Hannu, 2021. "Hedge fund portfolio selection with fund characteristics," Journal of Banking & Finance, Elsevier, vol. 132(C).
    6. Sun, Lin & Teo, Melvyn, 2019. "Public hedge funds," Journal of Financial Economics, Elsevier, vol. 131(1), pages 44-60.
    7. Teo, Melvyn, 2011. "The liquidity risk of liquid hedge funds," Journal of Financial Economics, Elsevier, vol. 100(1), pages 24-44, April.
    8. Daniel Barth & Juha Joenvaara & Mikko Kauppila & Russ Wermers, 2020. "The Hedge Fund Industry is Bigger (and has Performed Better) Than You Think," Working Papers 20-01, Office of Financial Research, US Department of the Treasury.
    9. Vikas Agarwal & Stefan Ruenzi & Florian Weigert, 2018. "Unobserved Performance of Hedge Funds," Working Papers on Finance 1825, University of St. Gallen, School of Finance.
    10. Philippe Bernard & Najat El Mekkaoui De Freitas & Bertrand B. Maillet, 2022. "A financial fraud detection indicator for investors: an IDeA," Annals of Operations Research, Springer, vol. 313(2), pages 809-832, June.
    11. Kooli, Maher & Zhang, Min, 2022. "Not only skill but also scale: Evidence from the hedge funds industry," International Review of Financial Analysis, Elsevier, vol. 83(C).
    12. Dang, Thuy Duong & Hollstein, Fabian & Prokopczuk, Marcel, 2022. "How do corporate bond investors measure performance? Evidence from mutual fund flows," Journal of Banking & Finance, Elsevier, vol. 142(C).
    13. Agarwal, Vikas & Green, T. Clifton & Ren, Honglin, 2018. "Alpha or beta in the eye of the beholder: What drives hedge fund flows?," Journal of Financial Economics, Elsevier, vol. 127(3), pages 417-434.
    14. Agarwal, Vikas & Fos, Vyacheslav & Jiang, Wei, 2010. "Inferring reporting biases in hedge fund databases from hedge fund equity holdings," CFR Working Papers 10-08, University of Cologne, Centre for Financial Research (CFR).
    15. Almeida, Caio & Ardison, Kym & Garcia, René, 2020. "Nonparametric assessment of hedge fund performance," Journal of Econometrics, Elsevier, vol. 214(2), pages 349-378.
    16. Kosowski, Robert & Joenväärä, Juha & Kaupila, Mikko & Tolonen, Pekka, 2019. "Hedge Fund Performance: Are Stylized Facts Sensitive to Which Database One Uses?," CEPR Discussion Papers 13618, C.E.P.R. Discussion Papers.
    17. Arpit Gupta & Kunal Sachdeva, 2019. "Skin or Skim? Inside Investment and Hedge Fund Performance," NBER Working Papers 26113, National Bureau of Economic Research, Inc.
    18. Newton, David & Platanakis, Emmanouil & Stafylas, Dimitrios & Sutcliffe, Charles & Ye, Xiaoxia, 2021. "Hedge fund strategies, performance &diversification: A portfolio theory & stochastic discount factor approach," The British Accounting Review, Elsevier, vol. 53(5).
    19. Bollen, Nicolas P. B., 2013. "Zero-R2Hedge Funds and Market Neutrality," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(2), pages 519-547, April.
    20. Mathias S. Kruttli & Phillip J. Monin & Sumudu W. Watugala, 2017. "Investor Concentration, Flows, and Cash Holdings: Evidence from Hedge Funds," Working Papers 17-07, Office of Financial Research, US Department of the Treasury.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:revfin:v:25:y:2021:i:1:p:189-233.. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/eufaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.