IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v70y2024i10p6897-6916.html
   My bibliography  Save this article

Smartphone Trading Technology, Investor Behavior, and Mutual Fund Performance

Author

Listed:
  • Xiao Cen

    (Mays Business School, Texas A&M University, College Station, Texas 77843)

Abstract

Using proprietary individual-level trading data around a natural experiment—the release of a smartphone trading app by a large investment advisor—this study investigates how smartphone trading technology affects retail investor behavior and mutual fund performance. App adoption by retail investors leads to an increase in investor attention and trading volume. App adopters’ flows become more sensitive to short-term fund returns and market sentiment, resulting in higher aggregate flow volume among adopters. The funds more exposed to the shock experience a greater decline in abnormal returns, likely attributable to higher fund flow volume and liquidity costs. As a result, both adopters and nonadopters experience a decline in their mutual fund investment returns.

Suggested Citation

  • Xiao Cen, 2024. "Smartphone Trading Technology, Investor Behavior, and Mutual Fund Performance," Management Science, INFORMS, vol. 70(10), pages 6897-6916, October.
  • Handle: RePEc:inm:ormnsc:v:70:y:2024:i:10:p:6897-6916
    DOI: 10.1287/mnsc.2021.02099
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.2021.02099
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.2021.02099?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
    ---><---

    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:inm:ormnsc:v:70:y:2024:i:10:p:6897-6916. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.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.