IDEAS home Printed from https://ideas.repec.org/a/eee/beexfi/v45y2025ics2214635025000024.html
   My bibliography  Save this article

Noise trader clusters and market efficiency

Author

Listed:
  • Pantzalis, Christos
  • Park, Jung Chul
  • Wang, Pinshuo

Abstract

We posit that noise trader clusters, retail investor base configurations that are homogeneous and informationally segmented, should be associated with greater market inefficiency because they facilitate the spread of common, “local” narratives and sentiment about the stock over fundamentals and market information. Our tests confirm that noise trader clusters have significant stock pricing implications. Stocks with retail investor clusters are associated with stronger peer effects, greater delay in incorporating market information, and more idiosyncratic risk. Consistent with the notion that they are associated with greater arbitrage risk and mispricing, such stocks earn higher risk-adjusted returns and display stronger long-run reversals.

Suggested Citation

  • Pantzalis, Christos & Park, Jung Chul & Wang, Pinshuo, 2025. "Noise trader clusters and market efficiency," Journal of Behavioral and Experimental Finance, Elsevier, vol. 45(C).
    • Handle: RePEc:eee:beexfi:v:45:y:2025:i:c:s2214635025000024
    DOI: 10.1016/j.jbef.2025.101021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2214635025000024
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jbef.2025.101021?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
    ---><---

    More about this item

    Keywords

    Noise traders; Sentiment; Market efficiency; Idiosyncratic risk;
    All these keywords.

    JEL classification:

    • G40 - Financial Economics - - Behavioral Finance - - - General
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:beexfi:v:45:y:2025:i:c:s2214635025000024. 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: https://www.journals.elsevier.com/journal-of-behavioral-and-experimental-finance .

    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.