IDEAS home Printed from https://ideas.repec.org/a/wly/isacfm/v13y2005i3p151-164.html
   My bibliography  Save this article

A comparison of machine‐learning classifiers for selecting money managers

Author

Listed:
  • Robert S. Ludwig
  • Michael J. Piovoso

Abstract

Machine‐learning algorithms have performed well on noisy datasets that are typical of financial data. This paper compares the performance of three types of machine‐learning classifier for selecting money managers. Naïve Bayes, neural network and decision tree learners were applied to a dataset of US equity managers. Although other studies have suggested that the performance of classifiers appears to be highly dependent on the nature of the problem and the dataset, the learning algorithms each had similar predictive accuracy and all outperformed by a substantial margin simple manager selection rules that are typical of the ways in which money managers and mutual funds are selected by investors. The results indicate that machine learners can be used as a decision‐support aid to improve the selection of money managers. Copyright © 2005 John Wiley & Sons, Ltd.

Suggested Citation

  • Robert S. Ludwig & Michael J. Piovoso, 2005. "A comparison of machine‐learning classifiers for selecting money managers," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 13(3), pages 151-164, July.
    • Handle: RePEc:wly:isacfm:v:13:y:2005:i:3:p:151-164
    DOI: 10.1002/isaf.262
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/isaf.262
    Download Restriction: no
    File URL: https://libkey.io/10.1002/isaf.262?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
    ---><---

    References listed on IDEAS

    as
    1. Carl Ackermann & Richard McEnally & David Ravenscraft, 1999. "The Performance of Hedge Funds: Risk, Return, and Incentives," Journal of Finance, American Finance Association, vol. 54(3), pages 833-874, June.
    2. Detzel, F. Larry & Weigand, Robert A., 1998. "Explaining Persistence in Mutual Fund Performance," Financial Services Review, Elsevier, vol. 7(1), pages 45-55.
    3. Liang, Bing, 2000. "Hedge Funds: The Living and the Dead," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(3), pages 309-326, September.
    4. Chen, Hsiu-Lang & Jegadeesh, Narasimhan & Wermers, Russ, 2000. "The Value of Active Mutual Fund Management: An Examination of the Stockholdings and Trades of Fund Managers," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(3), pages 343-368, September.
    5. Judith Chevalier & Glenn Ellison, 1999. "Are Some Mutual Fund Managers Better Than Others? Cross‐Sectional Patterns in Behavior and Performance," Journal of Finance, American Finance Association, vol. 54(3), pages 875-899, June.
    6. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    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. Polyzos, Efstathios & Wang, Fang, 2022. "Twitter and market efficiency in energy markets: Evidence using LDA clustered topic extraction," Energy Economics, Elsevier, vol. 114(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. Eliezer Fich & Viktoriya Lantushenko & Clemens Sialm, 2019. "Institutional Trading Around M&A Announcements," NBER Working Papers 25814, National Bureau of Economic Research, Inc.
    2. Benoît Dewaele, 2013. "Portfolio Optimization for Hedge Funds through Time-Varying Coefficients," Working Papers CEB 13-032, ULB -- Universite Libre de Bruxelles.
    3. Benoît Dewaele, 2013. "Leverage and Alpha: The Case of Funds of Hedge Funds," Working Papers CEB 13-033, ULB -- Universite Libre de Bruxelles.
    4. Deaves, Richard, 2004. "Data-conditioning biases, performance, persistence and flows: The case of Canadian equity funds," Journal of Banking & Finance, Elsevier, vol. 28(3), pages 673-694, March.
    5. Agarwal, Vikas & Kale, Jayant R., 2007. "On the relative performance of multi-strategy and funds of hedge funds," CFR Working Papers 07-11, University of Cologne, Centre for Financial Research (CFR).
    6. 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.
    7. Jason P. Berkowitz & Patrick J. Schorno & Dmitry A. Shapiro, 2017. "Characteristics of mutual funds with extreme performance," Review of Financial Economics, John Wiley & Sons, vol. 34(1), pages 50-60, September.
    8. Bessler, Wolfgang & Drobetz, Wolfgang & Henn Overbeck, Jacqueline, 2005. "Hedge Funds: Die Königsdisziplin" der Kapitalanlage," Working papers 2005/04, Faculty of Business and Economics - University of Basel.
    9. Cathline Augustiani & Lorenzo Casavecchia & Jack Gray, 2015. "Managerial Sharing, Mutual Fund Connections, and Performance," International Review of Finance, International Review of Finance Ltd., vol. 15(3), pages 427-455, September.
    10. Dayani, Arash & Jannati, Sima, 2022. "Running a mutual fund: Performance and trading behavior of runner managers," Journal of Empirical Finance, Elsevier, vol. 69(C), pages 43-62.
    11. Berkowitz, Jason P. & Schorno, Patrick J. & Shapiro, Dmitry A., 2017. "Characteristics of mutual funds with extreme performance," Review of Financial Economics, Elsevier, vol. 34(C), pages 50-60.
    12. Fung, William & Hsieh, David A., 2011. "The risk in hedge fund strategies: Theory and evidence from long/short equity hedge funds," Journal of Empirical Finance, Elsevier, vol. 18(4), pages 547-569, September.
    13. Do, Viet & Faff, Robert & Wickramanayake, J., 2005. "An empirical analysis of hedge fund performance: The case of Australian hedge funds industry," Journal of Multinational Financial Management, Elsevier, vol. 15(4-5), pages 377-393, October.
    14. 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.
    15. 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.
    16. Narayan Y. Naik & Tarun Ramadorai & Maria Stromqvist, 2007. "Capacity Constraints and Hedge Fund Strategy Returns," European Financial Management, European Financial Management Association, vol. 13(2), pages 239-256, March.
    17. 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.).
    18. Jaspersen, Stefan & Limbach, Peter, 2020. "Screening Discrimination in Financial Markets: Evidence from CEO-Fund Manager Dyads," CFR Working Papers 17-02, University of Cologne, Centre for Financial Research (CFR), revised 2020.
    19. Judy Qiu & Leilei Tang & Ingo Walter, 2018. "Hedge fund incentives, management commitment and survivorship," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 32(2), pages 115-142, May.
    20. Capocci, Daniel & Hubner, Georges, 2004. "Analysis of hedge fund performance," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 55-89, January.

    More about this item

    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:wly:isacfm:v:13:y:2005:i:3:p:151-164. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/1099-1174/ .

    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.