IDEAS home Printed from https://ideas.repec.org/p/fmg/fmgdps/dp720.html
   My bibliography  Save this paper

Does herding behavior reveal skill? An analysis of mutual fund performance

Author

Listed:
  • Hao Jiang
  • Michela Verardo

Abstract

This paper ?nds that fund herding, de?ned as the tendency of a mutual fund to follow past aggregate institutional trades, is an important predictor of mutual fund performance. Examining actively managed U.S. equity mutual funds over the period 1990-2009, we ?nd that funds with a higher herding tendency achieve lower future returns. The performance gap between herding and antiherding funds is persistent over various horizons and is more pronounced in periods of greater investment opportunities in the active management industry. We show that fund herding is negatively correlated with recently developed measures of mutual fund skill and provides distinct information for the predictability of mutual fund performance. Overall, our results suggest that fund herding reveals information about the cross-sectional distribution of skill in the mutual fund industry.

Suggested Citation

  • Hao Jiang & Michela Verardo, "undated". "Does herding behavior reveal skill? An analysis of mutual fund performance," FMG Discussion Papers dp720, Financial Markets Group.
  • Handle: RePEc:fmg:fmgdps:dp720
    as

    Download full text from publisher

    File URL: http://www.lse.ac.uk/fmg/researchProgrammes/paulWoolleyCentre/workingPapers/dp720-PWC35.pdf
    Download Restriction: no
    ---><---

    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:fmg:fmgdps:dp720. 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.

    We have no bibliographic references for this item. You can help adding them by using 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 FMG Administration (email available below). General contact details of provider: http://www.lse.ac.uk/fmg/ .

    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.