IDEAS home Printed from https://ideas.repec.org/a/taf/eurjfi/v31y2025i3p260-288.html
   My bibliography  Save this article

Macroeconomic uncertainty and the excess returns of stock

Author

Listed:
  • Yingfan Ge
  • Xiangyun Xu
  • Cong Yu
  • Jie Meng

Abstract

This paper proposes a theoretical model based on traditional ICAPM and dividend growth models but with variance-belief formation features such as overextrapolation and sticky expectation to link the macroeconomic uncertainty (MU hereafter) and stock excess returns. We predict a nuanced, possibly negative, intertemporal MU-return trade-off and a negative contemporaneous relationship between the change in MU and excess returns. The empirical analysis utilizing panel data from 46 stock markets validates our model but also reveals the heterogeneity across markets with different economic levels, financial development, and national culture. The impact of MU is amplified during global and country-specific financial crises. In addition, we also suggest that MU indeed is a significant source of realized variance of excess returns in stock markets.

Suggested Citation

  • Yingfan Ge & Xiangyun Xu & Cong Yu & Jie Meng, 2025. "Macroeconomic uncertainty and the excess returns of stock," The European Journal of Finance, Taylor & Francis Journals, vol. 31(3), pages 260-288, February.
  • Handle: RePEc:taf:eurjfi:v:31:y:2025:i:3:p:260-288
    DOI: 10.1080/1351847X.2024.2385063
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1351847X.2024.2385063
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/1351847X.2024.2385063?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

    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:taf:eurjfi:v:31:y:2025:i:3:p:260-288. 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 Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/REJF20 .

    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.