IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v82y2025ics1544612325007901.html
   My bibliography  Save this article

Exploration of credit spreads and information disclosure quality of corporate bonds under economic policy uncertainty

Author

Listed:
  • Lu, Xiao
  • Zhou, Ze-Jia
  • Feng, Chenchen

Abstract

This paper focuses on public corporate bonds issued in the exchange market between 2016 and 2023, examining the link between information disclosure quality and bond credit spreads. Our findings reveal that higher disclosure quality notably narrows credit spreads. Moreover, increased economic policy uncertainty amplifies the negative impact of disclosure quality on spreads. Improved disclosure quality also mitigates financing constraints, further reducing credit spreads. Notably, private enterprises see a stronger influence of disclosure quality on their bond credit spreads compared to state-owned enterprises. As China's bond market expands, enhancing listed firms' disclosure quality is crucial for investors to access vital information and protect their interests. It also addresses the need to improve financing conditions for listed firms and bolster bond financing.

Suggested Citation

  • Lu, Xiao & Zhou, Ze-Jia & Feng, Chenchen, 2025. "Exploration of credit spreads and information disclosure quality of corporate bonds under economic policy uncertainty," Finance Research Letters, Elsevier, vol. 82(C).
  • Handle: RePEc:eee:finlet:v:82:y:2025:i:c:s1544612325007901
    DOI: 10.1016/j.frl.2025.107531
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612325007901
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2025.107531?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;

    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:82:y:2025:i:c:s1544612325007901. 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.