IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/14873.html
   My bibliography  Save this paper

Does Secrecy Signal Skill? Characteristics and Performance of Secretive Hedge Funds

Author

Listed:
  • Kuzmina, Olga
  • Kelly, Patrick
  • Gorovyy, Sergiy

Abstract

Using a proprietary database that tracks secrecy with respect to a hedge fund's own investors, we find few benefits to own-investor secrecy. These findings contrast with research on secrecy regarding public disclosure. Secretive funds do not outperform transparent funds, and significantly underperform their strategy-matched peers through the financial crisis, consistent with secretive funds loading on unmeasured risks, but inconsistent with own-investor secrecy signalling skill. Though no different in terms of portfolio concentration and leverage, secretive funds are larger, less liquid, more complex, and more likely to file 13F disclosures and request confidential treatment from those disclosures. Secretive funds have lower flow-to-performance sensitivity, even controlling for illiquidity, suggesting that investors do view secretive and transparent funds differently.

Suggested Citation

  • Kuzmina, Olga & Kelly, Patrick & Gorovyy, Sergiy, 2020. "Does Secrecy Signal Skill? Characteristics and Performance of Secretive Hedge Funds," CEPR Discussion Papers 14873, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:14873
    as

    Download full text from publisher

    File URL: https://cepr.org/publications/DP14873
    Download Restriction: CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org
    ---><---

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

    References listed on IDEAS

    as
    1. 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.
    2. Bali, Turan G. & Brown, Stephen J. & Caglayan, Mustafa Onur, 2011. "Do hedge funds' exposures to risk factors predict their future returns?," Journal of Financial Economics, Elsevier, vol. 101(1), pages 36-68, July.
    3. Brown, Stephen & Goetzmann, William & Liang, Bing & Schwarz, Christopher, 2012. "Trust and delegation," Journal of Financial Economics, Elsevier, vol. 103(2), pages 221-234.
    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. Clemens Sialm & Laura T. Starks & Hanjiang Zhang, 2015. "Defined Contribution Pension Plans: Sticky or Discerning Money?," Journal of Finance, American Finance Association, vol. 70(2), pages 805-838, April.
    7. Vikas Agarwal & Naveen D. Daniel & Narayan Y. Naik, 2009. "Role of Managerial Incentives and Discretion in Hedge Fund Performance," Journal of Finance, American Finance Association, vol. 64(5), pages 2221-2256, October.
    8. Agarwal, Vikas & Ruenzi, Stefan & Weigert, Florian, 2017. "Tail risk in hedge funds: A unique view from portfolio holdings," Journal of Financial Economics, Elsevier, vol. 125(3), pages 610-636.
    9. Ivković, Zoran & Sialm, Clemens & Weisbenner, Scott, 2008. "Portfolio Concentration and the Performance of Individual Investors," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(3), pages 613-655, September.
    10. Kuzmina, Olga, 2020. "A model-free identification of relative risk," Economics Letters, Elsevier, vol. 190(C).
    11. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    12. repec:bla:jfinan:v:53:y:1998:i:5:p:1589-1622 is not listed on IDEAS
    13. Aragon, George O. & Martin, J. Spencer & Shi, Zhen, 2019. "Who benefits in a crisis? Evidence from hedge fund stock and option holdings," Journal of Financial Economics, Elsevier, vol. 131(2), pages 345-361.
    14. 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.
    15. Vikas Agarwal & Wei Jiang & Yuehua Tang & Baozhong Yang, 2013. "Uncovering Hedge Fund Skill from the Portfolio Holdings They Hide," Journal of Finance, American Finance Association, vol. 68(2), pages 739-783, April.
    16. Aragon, George O. & Hertzel, Michael & Shi, Zhen, 2013. "Why Do Hedge Funds Avoid Disclosure? Evidence from Confidential 13F Filings," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(5), pages 1499-1518, October.
    17. Clemens Sialm & Laura Starks & Hanjiang Zhang, 2015. "Defined Contribution Pension Plans: Mutual Fund Asset Allocation Changes," American Economic Review, American Economic Association, vol. 105(5), pages 432-436, May.
    18. Adam L. Aiken & Christopher P. Clifford & Jesse Ellis, 2013. "Out of the Dark: Hedge Fund Reporting Biases and Commercial Databases," The Review of Financial Studies, Society for Financial Studies, vol. 26(1), pages 208-243.
    19. Glode, Vincent & Green, Richard C., 2011. "Information spillovers and performance persistence for hedge funds," Journal of Financial Economics, Elsevier, vol. 101(1), pages 1-17, July.
    20. Agarwal, Vikas & Daniel, Naveen D. & Naik, Narayan Y., 2009. "Role of managerial incentives and discretion in hedge fund performance," CFR Working Papers 04-04, University of Cologne, Centre for Financial Research (CFR).
    21. Ang, Andrew & Gorovyy, Sergiy & van Inwegen, Gregory B., 2011. "Hedge fund leverage," Journal of Financial Economics, Elsevier, vol. 102(1), pages 102-126, October.
    22. Fung, William & Hsieh, David A, 2001. "The Risk in Hedge Fund Strategies: Theory and Evidence from Trend Followers," The Review of Financial Studies, Society for Financial Studies, vol. 14(2), pages 313-341.
    23. James Hedges, 2005. "Hedge Fund Transparency," The European Journal of Finance, Taylor & Francis Journals, vol. 11(5), pages 411-417.
    24. 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.
    25. Vikas Agarwal & Vyacheslav Fos & Wei Jiang, 2013. "Inferring Reporting-Related Biases in Hedge Fund Databases from Hedge Fund Equity Holdings," Management Science, INFORMS, vol. 59(6), pages 1271-1289, June.
    26. Choi, Nicole & Fedenia, Mark & Skiba, Hilla & Sokolyk, Tatyana, 2017. "Portfolio concentration and performance of institutional investors worldwide," Journal of Financial Economics, Elsevier, vol. 123(1), pages 189-208.
    27. Shi, Zhen, 2017. "The impact of portfolio disclosure on hedge fund performance," Journal of Financial Economics, Elsevier, vol. 126(1), pages 36-53.
    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. Kuzmina, Olga & Melentyeva, Valentina, 2020. "Gender diversity in corporate boards: Evidence from quota-implied discontinuities," CEPR Discussion Papers 14942, C.E.P.R. Discussion Papers.
    2. Nicolas P. B. Bollen & Mark C. Hutchinson & John O'Brien, 2021. "When it pays to follow the crowd: Strategy conformity and CTA performance," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(6), pages 875-894, June.

    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. Gorovyy, Sergiy & Kelly, Patrick J. & Kuzmina, Olga, 2021. "Does secrecy signal skill? Own-investor secrecy and hedge fund performance," Journal of Banking & Finance, Elsevier, vol. 133(C).
    2. Agarwal, Vikas & Green, Tracy Clifton & Ren, Honglin, 2017. "Alpha or beta in the eye of the beholder: What drives hedge fund flows?," CFR Working Papers 15-08, University of Cologne, Centre for Financial Research (CFR), revised 2017.
    3. 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.
    4. Turan G. Bali & Florian Weigert, 2018. "Have Hedge Funds Solved the Idiosyncratic Volatility Puzzle?," Working Papers on Finance 1827, University of St. Gallen, School of Finance.
    5. Bali, Turan G. & Weigert, Florian, 2021. "Hedge funds and the positive idiosyncratic volatility effect," CFR Working Papers 21-01, University of Cologne, Centre for Financial Research (CFR).
    6. Vikas Agarwal & Stefan Ruenzi & Florian Weigert, 2018. "Unobserved Performance of Hedge Funds," Working Papers on Finance 1825, University of St. Gallen, School of Finance.
    7. 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.
    8. Aragon, George O. & Martin, J. Spencer & Shi, Zhen, 2019. "Who benefits in a crisis? Evidence from hedge fund stock and option holdings," Journal of Financial Economics, Elsevier, vol. 131(2), pages 345-361.
    9. Agarwal, Vikas & Ruenzi, Stefan & Weigert, Florian, 2017. "Tail risk in hedge funds: A unique view from portfolio holdings," Journal of Financial Economics, Elsevier, vol. 125(3), pages 610-636.
    10. 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.
    11. Alan Crane & Kevin Crotty & Tarik Umar, 2023. "Hedge Funds and Public Information Acquisition," Management Science, INFORMS, vol. 69(6), pages 3241-3262, June.
    12. Shi, Zhen, 2017. "The impact of portfolio disclosure on hedge fund performance," Journal of Financial Economics, Elsevier, vol. 126(1), pages 36-53.
    13. 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).
    14. Guillermo Baquero & Marno Verbeek, 2022. "Hedge Fund Flows and Performance Streaks: How Investors Weigh Information," Management Science, INFORMS, vol. 68(6), pages 4151-4172, June.
    15. Joenväärä, Juha & Kosowski, Robert & Tolonen, Pekka, 2019. "The Effect of Investment Constraints on Hedge Fund Investor Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(4), pages 1539-1571, August.
    16. Malakhov, Alexey & Riley, Timothy B. & Yan, Qing, 2024. "Do hedge funds bet against beta?," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 1507-1525.
    17. Ludwig Chincarini, 2014. "The Impact of Quantitative Methods on Hedge Fund Performance," European Financial Management, European Financial Management Association, vol. 20(5), pages 857-890, November.
    18. Benoît Dewaele, 2013. "Leverage and Alpha: The Case of Funds of Hedge Funds," Working Papers CEB 13-033, ULB -- Universite Libre de Bruxelles.
    19. Ling, Yun & Satchell, Stephen & Yao, Juan, 2023. "Decreasing returns to scale and skill in hedge funds," Journal of Banking & Finance, Elsevier, vol. 156(C).
    20. Agarwal, Vikas & Arisoy, Y. Eser & Naik, Narayan Y., 2017. "Volatility of aggregate volatility and hedge fund returns," Journal of Financial Economics, Elsevier, vol. 125(3), pages 491-510.

    More about this item

    Keywords

    Hedge funds; Disclosure; Secrecy; transparency; Risk premia;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:cpr:ceprdp:14873. 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: the person in charge (email available below). General contact details of provider: https://www.cepr.org .

    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.