IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v59y2024ics1544612323011637.html
   My bibliography  Save this article

From Gambling to Gaming: The Crowding Out Effect

Author

Listed:
  • Kou, Shubo
  • Ma, Xiyuan

Abstract

This paper investigates how noise trading behavior is influenced by limited attention. As the daily price limit rules of the Chinese stock market provide a scenario for the exhibition of salient payoffs, speculators elevate prices to attract noise traders into the market. Utilizing a series of distraction events stemming from mobile games as exogenous shocks, we obtain statistical evidence that the gambler-like behavior, termed as “Hitting game” may be crowded out. Consistent with our attention mechanism, indicators such as trading volume decline in response to these game shocks.

Suggested Citation

  • Kou, Shubo & Ma, Xiyuan, 2024. "From Gambling to Gaming: The Crowding Out Effect," Finance Research Letters, Elsevier, vol. 59(C).
  • Handle: RePEc:eee:finlet:v:59:y:2024:i:c:s1544612323011637
    DOI: 10.1016/j.frl.2023.104791
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612323011637
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2023.104791?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

    Salience theory; Noise trader; Limited attention;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G40 - Financial Economics - - Behavioral Finance - - - 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:eee:finlet:v:59:y:2024:i:c:s1544612323011637. 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/frl .

    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.