IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v75y2025ics0275531924005142.html
   My bibliography  Save this article

Market ambiguity, investor sentiment and market anomalies – Evidence from the Chinese A-share market

Author

Listed:
  • Yang, Baochen
  • Gao, Qianran
  • Li, Jiapeng

Abstract

This study examines how market ambiguity and investor sentiment influence market anomalies in the Chinese A-share market. Prior literature indicates that market ambiguity and investor sentiment play critical roles in shaping investment behaviors and market anomalies. However, the specific mechanisms through which these factors interact remain unclear. We analyze a dataset comprising daily and monthly stock returns and fundamental information for 4587 A-share listed firms from 2003 to 2022. We select market anomalies based on emotional biases in investor decision-making under ambiguity and construct anomaly portfolios. We introduce market ambiguity as a moderating variable to study its interaction with investor sentiment. We find that market ambiguity significantly interacts with investor sentiment. During periods of pessimistic sentiment, ambiguity enhances the explanatory power of sentiment for market anomalies, while during optimistic periods, it diminishes this power. Furthermore, market ambiguity's moderating effect is stronger in environments with high information asymmetry compared to those with low information asymmetry. These findings suggest that market ambiguity amplifies the impact of investor sentiment on market anomalies, especially in conditions of high information asymmetry. This highlights the importance of considering both sentiment and ambiguity in understanding market behaviors and anomalies.

Suggested Citation

  • Yang, Baochen & Gao, Qianran & Li, Jiapeng, 2025. "Market ambiguity, investor sentiment and market anomalies – Evidence from the Chinese A-share market," Research in International Business and Finance, Elsevier, vol. 75(C).
  • Handle: RePEc:eee:riibaf:v:75:y:2025:i:c:s0275531924005142
    DOI: 10.1016/j.ribaf.2024.102721
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531924005142
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ribaf.2024.102721?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.

    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:riibaf:v:75:y:2025:i:c:s0275531924005142. 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/ribaf .

    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.