IDEAS home Printed from https://ideas.repec.org/a/eee/jbfina/v171y2025ics0378426624002693.html
   My bibliography  Save this article

Trading without meeting friends: Empirical evidence from the wuhan lockdown in 2020

Author

Listed:
  • Huang, Yichu
  • Bose, Udichibarna
  • Li, Zeguang
  • Liu, Frank Hong

Abstract

Using a unique proprietary dataset of daily mutual fund trading records and the COVID-19 pandemic-triggered lockdown in Wuhan (China) as a natural experiment, we find that individual mutual fund investors in Wuhan significantly reduced their daily trading frequency, total investment of their portfolios, and risk level of their invested funds during the lockdown period as compared to investors in other cities. The results suggest that the elimination of face-to-face interaction among individual investors during the lockdown reduced their information sharing, which led to more conservatism in their financial trading. We rule out alternative explanations of salience bias due to limited investor attention and temporary changes in personal circumstances such as depression and/or income reduction, during the lockdown period. Finally, consistent with the theory of naïve investor trading, we also find that investors received higher trading returns during the lockdown as they reduced trading aggressively in the absence of face-to-face interactions.

Suggested Citation

  • Huang, Yichu & Bose, Udichibarna & Li, Zeguang & Liu, Frank Hong, 2025. "Trading without meeting friends: Empirical evidence from the wuhan lockdown in 2020," Journal of Banking & Finance, Elsevier, vol. 171(C).
  • Handle: RePEc:eee:jbfina:v:171:y:2025:i:c:s0378426624002693
    DOI: 10.1016/j.jbankfin.2024.107355
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378426624002693
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbankfin.2024.107355?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.

    More about this item

    Keywords

    Lockdown; Face-to-face interaction; Mutual fund investment; Investor trading;
    All these keywords.

    JEL classification:

    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • D9 - Microeconomics - - Micro-Based Behavioral Economics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G4 - Financial Economics - - Behavioral Finance

    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:eee:jbfina:v:171:y:2025:i:c:s0378426624002693. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbf .

    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.