IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v190y2020ics0165176520300768.html
   My bibliography  Save this article

A model-free identification of relative risk

Author

Listed:
  • Kuzmina, Olga

Abstract

We propose a novel approach of identifying the relative risk of portfolios (e.g. hedge funds) when the model of returns is unknown but assumed linear in parameters. We demonstrate how to rank funds in terms of loadings on unobserved risk.

Suggested Citation

  • Kuzmina, Olga, 2020. "A model-free identification of relative risk," Economics Letters, Elsevier, vol. 190(C).
    • Handle: RePEc:eee:ecolet:v:190:y:2020:i:c:s0165176520300768
    DOI: 10.1016/j.econlet.2020.109078
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176520300768
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econlet.2020.109078?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Michael C. Jensen, 1968. "The Performance Of Mutual Funds In The Period 1945–1964," Journal of Finance, American Finance Association, vol. 23(2), pages 389-416, May.
    2. Francesco Franzoni & Martin C. Schmalz, 2017. "Fund Flows and Market States," The Review of Financial Studies, Society for Financial Studies, vol. 30(8), pages 2621-2673.
    3. Martin C Schmalz & Sergey Zhuk, 2019. "Revealing Downturns," The Review of Financial Studies, Society for Financial Studies, vol. 32(1), pages 338-373.
    4. 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.
    5. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    6. Roll, Richard, 1977. "A critique of the asset pricing theory's tests Part I: On past and potential testability of the theory," Journal of Financial Economics, Elsevier, vol. 4(2), pages 129-176, March.
    7. Sheridan Titman & Cristian Tiu, 2011. "Do the Best Hedge Funds Hedge?," The Review of Financial Studies, Society for Financial Studies, vol. 24(1), pages 123-168.
    8. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    9. Francesco A. Franzoni & Martin C. Schmalz, 2013. "Fund Flows and Market States," Swiss Finance Institute Research Paper Series 13-41, Swiss Finance Institute, revised Jun 2017.
    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 & 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.
    2. 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).

    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. Eisele, Alexander & Nefedova, Tamara & Parise, Gianpaolo & Peijnenburg, Kim, 2020. "Trading out of sight: An analysis of cross-trading in mutual fund families," Journal of Financial Economics, Elsevier, vol. 135(2), pages 359-378.
    2. Benoît Dewaele, 2013. "Leverage and Alpha: The Case of Funds of Hedge Funds," Working Papers CEB 13-033, ULB -- Universite Libre de Bruxelles.
    3. Alexander Berglund & Massimo Guidolin & Manuela Pedio, 2020. "Monetary policy after the crisis: A threat to hedge funds' alphas?," Journal of Asset Management, Palgrave Macmillan, vol. 21(3), pages 219-238, May.
    4. Alexander Berglund & Massimo Guidolin & Manuela Pedio, 2018. "Monetary Policy after the Crisis: Threat or Opportunity to Hedge Funds' Alphas?," BAFFI CAREFIN Working Papers 1884, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    5. Omori, Kozo & Kitamura, Tomoki, 2023. "Investor response to Morningstar's ratings, category information, and alpha in the Japanese mutual fund market," International Review of Financial Analysis, Elsevier, vol. 89(C).
    6. Jung‐Soon Shin & Minki Kim & Dongjun Oh & Tong Suk Kim, 2019. "Do hedge funds time market tail risk? Evidence from option‐implied tail risk," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(2), pages 205-237, February.
    7. 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.
    8. Babalos, Vassilios & Caporale, Guglielmo Maria & Philippas, Nikolaos, 2012. "Efficiency evaluation of Greek equity funds," Research in International Business and Finance, Elsevier, vol. 26(2), pages 317-333.
    9. Namvar, Ethan & Phillips, Blake & Pukthuanthong, Kuntara & Raghavendra Rau, P., 2016. "Do hedge funds dynamically manage systematic risk?," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 1-15.
    10. Vassilios Babalos & Michael Doumpos & Nikolaos Philippas & Constantin Zopounidis, 2015. "Towards a Holistic Approach for Mutual Fund Performance Appraisal," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 35-53, June.
    11. Kingsley Fong & David R. Gallagher & Adrian D. Lee, 2008. "Benchmarking benchmarks: measuring characteristic selectivity using portfolio holdings data," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 48(5), pages 761-781, December.
    12. Zheng Sun & Ashley W. Wang & Lu Zheng, 2016. "Only Winners in Tough Times Repeat: Hedge Fund Performance Persistence over Different Market Conditions," Finance and Economics Discussion Series 2016-030, Board of Governors of the Federal Reserve System (U.S.).
    13. Mustafa Onur Caglayan & Sevan Ulutas, 2014. "Emerging Market Exposures and the Predictability of Hedge Fund Returns," Financial Management, Financial Management Association International, vol. 43(1), pages 149-180, March.
    14. Sebastien Valeyre & Sofiane Aboura & Denis Grebenkov, 2019. "The Reactive Beta Model," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 42(1), pages 71-113, March.
    15. Stafylas, Dimitrios & Anderson, Keith & Uddin, Moshfique, 2018. "Hedge fund performance attribution under various market conditions," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 221-237.
    16. 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.
    17. Bali, Turan G. & Brown, Stephen J. & Caglayan, Mustafa O., 2014. "Macroeconomic risk and hedge fund returns," Journal of Financial Economics, Elsevier, vol. 114(1), pages 1-19.
    18. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 3-38, March.
    19. Ergys Islamaj & Maziar Kazemi, 2014. "Returns to Active Management: The Case of Hedge Funds," International Finance Discussion Papers 1112, Board of Governors of the Federal Reserve System (U.S.).
    20. Ibert, Markus, 2023. "What do mutual fund managers’ private portfolios tell us about their skills?," Journal of Financial Intermediation, Elsevier, vol. 53(C).

    More about this item

    Keywords

    Performance evaluation; Performance attribution; Unobserved risk; Factor models; Hedge funds;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • 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:eee:ecolet:v:190:y:2020:i:c:s0165176520300768. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.