IDEAS home Printed from https://ideas.repec.org/p/uts/pwcwps/13.html
   My bibliography  Save this paper

Performance Implications of Active Management of Institutional Mutual Funds

Author

Abstract

Although mutual fund performance has been dissected from almost every angle, very little attention has been paid to the connection between the actual active decisions made by management and the subsequent performance outcomes. In this paper we use information on institutional mutual funds to examine the implications of their active decisions made with respect to active positions, style and cash holdings for the fund's realised alpha, tracking error and information ratio. We identify some areas where the funds across the entire sample have success (active positions, and growth and winning stock divergences) and many others where they fall short (e.g. value and loser stock divergences). We identify that there is significant variation in these findings when we extend our analysis to examine the impact of these active decisions on performance for different styles of funds during periods of weak and strong markets. Value funds prove to be by far the best in the active positions that they make but losing across the board with their style divergences. Finally, we highlight the importance in style choice on the overall performance of a fund and identify the superiority of the value style over its competitors.

Suggested Citation

  • Ron Bird & Paolo Pellizzari & Danny Yeung, 2011. "Performance Implications of Active Management of Institutional Mutual Funds," Working Paper Series 13, The Paul Woolley Centre for Capital Market Dysfunctionality, University of Technology, Sydney.
  • Handle: RePEc:uts:pwcwps:13
    as

    Download full text from publisher

    File URL: http://www.uts.edu.au/sites/default/files/wp13.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Dimitri Vayanos & Paul Woolley, 2013. "An Institutional Theory of Momentum and Reversal," The Review of Financial Studies, Society for Financial Studies, vol. 26(5), pages 1087-1145.
    2. 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.
    3. Ron Bird & Lorenzo Casavecchia & Paolo Pellizzari & Paul Woolley, 2011. "The impact on the pricing process of costly active management and performance chasing clients," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 6(1), pages 61-82, May.
    4. Jeffrey A. Busse & Amit Goyal & Sunil Wahal, 2010. "Performance and Persistence in Institutional Investment Management," Journal of Finance, American Finance Association, vol. 65(2), pages 765-790, April.
    5. Golec, Joseph H., 1996. "The effects of mutual fund managers' characteristics on their portfolio performance, risk and fees," Financial Services Review, Elsevier, vol. 5(2), pages 133-147.
    6. 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.
    7. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    8. 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.
    9. 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.
    10. Amit Goyal & Sunil Wahal, 2008. "The Selection and Termination of Investment Management Firms by Plan Sponsors," Journal of Finance, American Finance Association, vol. 63(4), pages 1805-1847, August.
    11. Aymen Karoui & Iwan Meier, 2009. "Performance and characteristics of mutual fund starts," The European Journal of Finance, Taylor & Francis Journals, vol. 15(5-6), pages 487-509.
    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. Qiang Bu, 2020. "Investor Sentiment and Mutual Fund Alpha," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 21(1), pages 57-65, January.
    2. Michael J. O'Neill & Geoffrey J. Warren, 2019. "Evaluating fund capacity: issues and methods," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 59(S1), pages 773-800, April.
    3. Gaurav Singh Chauhan, 2019. "Performance attribution of mutual funds in India: outperformance or mis‐representation?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 59(S1), pages 383-409, April.
    4. Ron Bird & Paolo Pellizzari & Danny Yeung & Paul Woolley, 2012. "The Strategic Implementation of an Investment Process in a Funds Management Firm," Working Paper Series 17, The Paul Woolley Centre for Capital Market Dysfunctionality, University of Technology, Sydney.

    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. Sebastian Müller & Martin Weber, 2014. "Evaluating the Rating of Stiftung Warentest: How Good Are Mutual Fund Ratings and Can They Be Improved?," European Financial Management, European Financial Management Association, vol. 20(2), pages 207-235, March.
    2. 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.
    3. He, Xue-Zhong & Shi, Lei, 2017. "Index portfolio and welfare analysis under heterogeneous beliefs," Journal of Banking & Finance, Elsevier, vol. 75(C), pages 64-79.
    4. Jin, Liang & Taffler, Richard & Eshraghi, Arman & Tosun, Onur Kemal, 2020. "Fund manager conviction and investment performance," International Review of Financial Analysis, Elsevier, vol. 71(C).
    5. 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.
    6. Babalos, Vassilios & Caporale, Guglielmo Maria & Philippas, Nikolaos, 2015. "Gender, style diversity, and their effect on fund performance," Research in International Business and Finance, Elsevier, vol. 35(C), pages 57-74.
    7. Martin Rohleder & Hendrik Scholz & Marco Wilkens, 2010. "Survivorship Bias and Mutual Fund Performance: Relevance, Significance, and Methodical Differences," Review of Finance, European Finance Association, vol. 15(2), pages 441-474.
    8. Elyasiani, Elyas & Rytchkov, Oleg & Stetsyuk, Ivan, 2022. "Do real estate mutual fund managers create value?," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 396-406.
    9. H. Pierre Hsieh & Imen Tebourbi & Wen‐Min Lu & Nai‐Yu Liu, 2020. "Mutual fund performance: The decision quality and capital magnet efficiencies," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(5), pages 861-872, July.
    10. Mason, Andrew & Agyei-Ampomah, Sam & Skinner, Frank, 2016. "Realism, skill, and incentives: Current and future trends in investment management and investment performance," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 31-40.
    11. Andrea Flori & Fabrizio Lillo & Fabio Pammolli & Alessandro Spelta, 2021. "Better to stay apart: asset commonality, bipartite network centrality, and investment strategies," Annals of Operations Research, Springer, vol. 299(1), pages 177-213, April.
    12. 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.
    13. Khaled Obaid & Kuntara Pukthuanthong, 2021. "Informativeness of mutual fund advertisements: Does advertising communicate fund quality to investors?," Financial Management, Financial Management Association International, vol. 50(1), pages 203-236, March.
    14. Cao, Charles & Iliev, Peter & Velthuis, Raisa, 2017. "Style drift: Evidence from small-cap mutual funds," Journal of Banking & Finance, Elsevier, vol. 78(C), pages 42-57.
    15. Herrmann, Ulf & Rohleder, Martin & Scholz, Hendrik, 2016. "Does style-shifting activity predict performance? Evidence from equity mutual funds," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 112-130.
    16. 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.
    17. 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.
    18. Miguel Antón & Christopher Polk, 2014. "Connected Stocks," Journal of Finance, American Finance Association, vol. 69(3), pages 1099-1127, June.
    19. 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.
    20. Feldman, David & Saxena, Konark & Xu, Jingrui, 2020. "Is the active fund management industry concentrated enough?," Journal of Financial Economics, Elsevier, vol. 136(1), pages 23-43.

    More about this item

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G29 - Financial Economics - - Financial Institutions and Services - - - Other

    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:uts:pwcwps:13. 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: Duncan Ford (email available below). General contact details of provider: https://edirc.repec.org/data/pwutsau.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.