IDEAS home Printed from https://ideas.repec.org/a/pal/assmgt/v24y2023i4d10.1057_s41260-023-00310-7.html
   My bibliography  Save this article

UK mutual funds: performance persistence and portfolio size

Author

Listed:
  • Keith Cuthbertson

    (University of London)

  • Dirk Nitzsche

    (University of London)

  • Niall O’Sullivan

    (Cork University Business School, University College Cork)

Abstract

We re-examine performance persistence amongst UK mutual funds. Specifically, we investigate performance persistence amongst small portfolios of past high-performing funds. In contrast to the more common analysis of decile portfolios of funds, we focus on persistence in the more extreme positive tail of the cross section of fund performance. This paper contributes to the smaller literature on UK rather than US mutual fund performance. We investigate fund persistence based on practitioner index models as well as academic factor models, focusing on small portfolios of funds using inference based on nonparametric persistence test statistics as well as conventional t tests. We provide strong evidence of positive persistence amongst small-size portfolios of (past) high-performing funds that is robust to alternative formation and holding periods and alternative performance models. We also document some sensitivity in inferences on positive persistence when using nonparametric versus conventional tests.

Suggested Citation

  • Keith Cuthbertson & Dirk Nitzsche & Niall O’Sullivan, 2023. "UK mutual funds: performance persistence and portfolio size," Journal of Asset Management, Palgrave Macmillan, vol. 24(4), pages 284-298, July.
    • Handle: RePEc:pal:assmgt:v:24:y:2023:i:4:d:10.1057_s41260-023-00310-7
    DOI: 10.1057/s41260-023-00310-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41260-023-00310-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1057/s41260-023-00310-7?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. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    2. Pastor, Lubos & Stambaugh, Robert F., 2002. "Mutual fund performance and seemingly unrelated assets," Journal of Financial Economics, Elsevier, vol. 63(3), pages 315-349, March.
    3. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    4. Ian Tonks, 2005. "Performance Persistence of Pension-Fund Managers," The Journal of Business, University of Chicago Press, vol. 78(5), pages 1917-1942, September.
    5. Kenchington, David & Wan, Chi & Yüksel, H. Zafer, 2019. "Gross profitability and mutual fund performance," Journal of Banking & Finance, Elsevier, vol. 104(C), pages 31-49.
    6. Alan Gregory & Rajesh Tharyan & Angela Christidis, 2013. "Constructing and Testing Alternative Versions of the Fama–French and Carhart Models in the UK," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 40(1-2), pages 172-214, January.
    7. Irina B. Mateus & Cesario Mateus & Natasa Todorovic, 2019. "Use of active peer benchmarks in assessing UK mutual fund performance and performance persistence," The European Journal of Finance, Taylor & Francis Journals, vol. 25(12), pages 1077-1098, August.
    8. Campbell R Harvey & Yan Liu, 2018. "Detecting Repeatable Performance," The Review of Financial Studies, Society for Financial Studies, vol. 31(7), pages 2499-2552.
    9. Fama, Eugene F. & French, Kenneth R., 2017. "International tests of a five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 123(3), pages 441-463.
    10. Cremers, Martijn & Petajisto, Antti & Zitzewitz, Eric, 2013. "Should Benchmark Indices Have Alpha? Revisiting Performance Evaluation," Critical Finance Review, now publishers, vol. 2(1), pages 1-48, July.
    11. Eugene F. Fama & Kenneth R. French, 2016. "Dissecting Anomalies with a Five-Factor Model," The Review of Financial Studies, Society for Financial Studies, vol. 29(1), pages 69-103.
    12. Chen, Yong & Cliff, Michael & Zhao, Haibei, 2017. "Hedge Funds: The Good, the Bad, and the Lucky," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(3), pages 1081-1109, June.
    13. Marcin Kacperczyk & Amit Seru, 2007. "Fund Manager Use of Public Information: New Evidence on Managerial Skills," Journal of Finance, American Finance Association, vol. 62(2), pages 485-528, April.
    14. Hao Jiang & Michela Verardo, 2018. "Does Herding Behavior Reveal Skill? An Analysis of Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 73(5), pages 2229-2269, October.
    15. Randolph B. Cohen & Joshua D. Coval & Ľuboš Pástor, 2005. "Judging Fund Managers by the Company They Keep," Journal of Finance, American Finance Association, vol. 60(3), pages 1057-1096, June.
    16. Martijn Cremers & Antti Petajisto, 2006. "How Active is Your Fund Manager? A New Measure That Predicts Performance," Yale School of Management Working Papers amz2370, Yale School of Management, revised 01 May 2009.
    17. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    18. Blake, Christopher R. & Morey, Matthew R., 2000. "Morningstar Ratings and Mutual Fund Performance," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(3), pages 451-483, September.
    19. Cici, Gjergji & Dahm, Laura K. & Kempf, Alexander, 2018. "Trading efficiency of fund families: Impact on fund performance and investment behavior," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 1-14.
    20. Jones, Christopher S. & Shanken, Jay, 2005. "Mutual fund performance with learning across funds," Journal of Financial Economics, Elsevier, vol. 78(3), pages 507-552, December.
    21. Marcin Kacperczyk & Clemens Sialm & Lu Zheng, 2005. "On the Industry Concentration of Actively Managed Equity Mutual Funds," Journal of Finance, American Finance Association, vol. 60(4), pages 1983-2011, August.
    22. David Blake & Allan Timmermann, 1998. "Mutual Fund Performance: Evidence from the UK," Review of Finance, European Finance Association, vol. 2(1), pages 57-77.
    23. Cai, Biqing & Cheng, Tingting & Yan, Cheng, 2018. "Time-varying skills (versus luck) in U.S. active mutual funds and hedge funds," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 81-106.
    24. Jiang, Hao & Verardo, Michela, 2018. "Does herding behavior reveal skill? An analysis of mutual fund performance," LSE Research Online Documents on Economics 86372, London School of Economics and Political Science, LSE Library.
    25. Ľuboš Pástor & Robert F. Stambaugh & Lucian A. Taylor, 2017. "Do Funds Make More When They Trade More?," Journal of Finance, American Finance Association, vol. 72(4), pages 1483-1528, August.
    26. Jordan, Bradford D. & Riley, Timothy B., 2015. "Volatility and mutual fund manager skill," Journal of Financial Economics, Elsevier, vol. 118(2), pages 289-298.
    27. Lu Zheng, 1999. "Is Money Smart? A Study of Mutual Fund Investors' Fund Selection Ability," Journal of Finance, American Finance Association, vol. 54(3), pages 901-933, June.
    28. Robert Kosowski & Allan Timmermann & Russ Wermers & Hal White, 2006. "Can Mutual Fund “Stars” Really Pick Stocks? New Evidence from a Bootstrap Analysis," Journal of Finance, American Finance Association, vol. 61(6), pages 2551-2595, December.
    29. Travis Sapp & Ashish Tiwari, 2004. "Does Stock Return Momentum Explain the "Smart Money" Effect?," Journal of Finance, American Finance Association, vol. 59(6), pages 2605-2622, December.
    30. Fletcher, Jonathan & Forbes, David, 2002. "An exploration of the persistence of UK unit trust performance," Journal of Empirical Finance, Elsevier, vol. 9(5), pages 475-493, December.
    31. Cuthbertson, Keith & Nitzsche, Dirk & O'Sullivan, Niall, 2008. "UK mutual fund performance: Skill or luck?," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 613-634, September.
    32. Sensoy, Berk A., 2009. "Performance evaluation and self-designated benchmark indexes in the mutual fund industry," Journal of Financial Economics, Elsevier, vol. 92(1), pages 25-39, April.
    33. Robert Novy-Marx, 2014. "Understanding Defensive Equity," NBER Working Papers 20591, National Bureau of Economic Research, Inc.
    34. Akbas, Ferhat & Armstrong, Will J. & Sorescu, Sorin & Subrahmanyam, Avanidhar, 2015. "Smart money, dumb money, and capital market anomalies," Journal of Financial Economics, Elsevier, vol. 118(2), pages 355-382.
    35. Wolfgang Bessler & David Blake & Peter Lückoff & Ian Tonks, 2018. "Fund Flows, Manager Changes, and Performance Persistence [Does motivation matter when assessing trade performance? An analysis of mutual funds]," Review of Finance, European Finance Association, vol. 22(5), pages 1911-1947.
    36. Martijn Cremers & Antti Petajisto, 2006. "How Active is Your Fund Manager? A New Measure That Predicts Performance," Yale School of Management Working Papers amz2370, Yale School of Management, revised 01 May 2009.
    37. G Quigley & R A Sinquefield, 2000. "Performance of UK equity unit trusts," Journal of Asset Management, Palgrave Macmillan, vol. 1(1), pages 72-92, July.
    38. Cremers, Martijn & Pareek, Ankur, 2016. "Patient capital outperformance: The investment skill of high active share managers who trade infrequently," Journal of Financial Economics, Elsevier, vol. 122(2), pages 288-306.
    39. Blake, David & Caulfield, Tristan & Ioannidis, Christos & Tonks, Ian, 2017. "New Evidence on Mutual Fund Performance: AÂ Comparison of Alternative Bootstrap Methods," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(3), pages 1279-1299, June.
    40. Mateus, Irina B. & Mateus, Cesario & Todorovic, Natasa, 2019. "Review of new trends in the literature on factor models and mutual fund performance," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 344-354.
    41. Harvey, Campbell R. & Liu, Yan, 2019. "Cross-sectional alpha dispersion and performance evaluation," Journal of Financial Economics, Elsevier, vol. 134(2), pages 273-296.
    42. Mateus, Irina B. & Mateus, Cesario & Todorovic, Natasa, 2016. "UK equity mutual fund alphas make a comeback," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 98-110.
    43. K. J. Martijn Cremers & Antti Petajisto, 2009. "How Active Is Your Fund Manager? A New Measure That Predicts Performance," The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3329-3365, September.
    44. Aneel Keswani & David Stolin, 2008. "Which Money Is Smart? Mutual Fund Buys and Sells of Individual and Institutional Investors," Journal of Finance, American Finance Association, vol. 63(1), pages 85-118, February.
    45. Angie Andrikogiannopoulou & Filippos Papakonstantinou, 2019. "Reassessing False Discoveries in Mutual Fund Performance: Skill, Luck, or Lack of Power?," Journal of Finance, American Finance Association, vol. 74(5), pages 2667-2688, October.
    Full references (including those not matched with items on IDEAS)

    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. Cuthbertson, Keith & Nitzsche, Dirk & O'Sullivan, Niall, 2022. "Mutual fund performance persistence: Factor models and portfolio size," International Review of Financial Analysis, Elsevier, vol. 81(C).
    2. Hung, Pi-Hsia & Lien, Donald & Kuo, Ming-Sin, 2020. "Window dressing in equity mutual funds," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 338-354.
    3. Cuthbertson, Keith & Nitzsche, Dirk & O'Sullivan, Niall, 2016. "A review of behavioural and management effects in mutual fund performance," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 162-176.
    4. Pi‐Hsia Hung & Donald Lien & Yun‐Ju Chien, 2020. "Portfolio concentration and fund manager performance," Review of Financial Economics, John Wiley & Sons, vol. 38(3), pages 423-451, July.
    5. Timothy B. Riley, 2021. "Portfolios of actively managed mutual funds," The Financial Review, Eastern Finance Association, vol. 56(2), pages 205-230, May.
    6. Fulkerson, Jon A. & Riley, Timothy B., 2019. "Portfolio concentration and mutual fund performance," Journal of Empirical Finance, Elsevier, vol. 51(C), pages 1-16.
    7. Mateus, Irina B. & Mateus, Cesario & Todorovic, Natasa, 2019. "Review of new trends in the literature on factor models and mutual fund performance," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 344-354.
    8. Li, Zhiyong & Rao, Xiao, 2023. "Exploring the zoo of predictors for mutual fund performance in China," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    9. Matallín-Sáez, Juan Carlos & Soler-Domínguez, Amparo & Tortosa-Ausina, Emili, 2016. "On the robustness of persistence in mutual fund performance," The North American Journal of Economics and Finance, Elsevier, vol. 36(C), pages 192-231.
    10. Cuthbertson, Keith & Nitzsche, Dirk & O'Sullivan, Niall, 2008. "UK mutual fund performance: Skill or luck?," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 613-634, September.
    11. Hunter, David & Kandel, Eugene & Kandel, Shmuel & Wermers, Russ, 2014. "Mutual fund performance evaluation with active peer benchmarks," Journal of Financial Economics, Elsevier, vol. 112(1), pages 1-29.
    12. Christiansen, Charlotte & Grønborg, Niels S. & Nielsen, Ole L., 2020. "Mutual fund selection for realistically short samples," Journal of Empirical Finance, Elsevier, vol. 55(C), pages 218-240.
    13. Zhang, Jinhua & Wang, Guipu & Yan, Cheng, 2020. "Can foreign equity funds outperform their benchmarks? New evidence from fund-holding data for China," Economic Modelling, Elsevier, vol. 90(C), pages 11-20.
    14. Bai, John Jianqiu & Tang, Yuehua & Wan, Chi & Yüksel, H. Zafer, 2022. "Fund manager skill in an era of globalization: Offshore concentration and fund performance," Journal of Financial Economics, Elsevier, vol. 145(2), pages 18-40.
    15. Ferson, Wayne E., 2013. "Investment Performance: A Review and Synthesis," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 969-1010, Elsevier.
    16. Dahlquist, Magnus & Odegaard, Bernt Arne, 2018. "A Review of Norges Bank's Active Management of the Government Pension Fund Global," UiS Working Papers in Economics and Finance 2018/1, University of Stavanger.
    17. Livingston, Miles & Yao, Ping & Zhou, Lei, 2019. "The volatility of mutual fund performance," Journal of Economics and Business, Elsevier, vol. 104(C), pages 1-1.
    18. Mateus, Irina B. & Mateus, Cesario & Todorovic, Natasa, 2016. "UK equity mutual fund alphas make a comeback," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 98-110.
    19. Zhongzhi Lawrence He, 2018. "Generalized Information Ratio," Papers 1803.01381, arXiv.org, revised Apr 2018.
    20. Jiang, Hao & Verardo, Michela, 2013. "Does herding behavior reveal skill? An analysis of mutual fund performance," LSE Research Online Documents on Economics 119034, London School of Economics and Political Science, LSE Library.

    More about this item

    Keywords

    Mutual fund performance persistence; Factor models; Portfolio size;
    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
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

    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:pal:assmgt:v:24:y:2023:i:4:d:10.1057_s41260-023-00310-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    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.