IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v57y2025i59p10372-10388.html

Identifying policy determinants of bank default risk during the COVID-19 pandemic: empirical evidence from the U.S. and Canada

Author

Listed:
  • Lu Wang
  • Dongmin Ke

Abstract

This study examines the policy determinants of bank default risk, proxied by credit default swap (CDS) spreads, using quarterly data from the U.S. and Canada for the period 2020 to 2022. The analysis considers four determinant groups: the COVID-19 pandemic shock, aggressive monetary and fiscal policy responses, macroprudential-related bank financial fundamentals, and macroeconomic and market conditions. Utilizing General Least Squares (GLS) and dynamic panel models with system General Method of Moments (GMM), the findings reveal that rising COVID-19 deaths significantly widen CDS spreads. Expansionary monetary policies reduce bank default risk, though the effectiveness under conventional monetary policy is reduced by increasing COVID-19 deaths. In contrast, expansionary fiscal policies and inflation broaden CDS spreads. The combined analysis highlights policy stances as dominant factors, with macroprudential-related fundamentals having minimal impact. The findings are robust using both 5-year and 10-year CDS measures. This study has significant policy implications during health and economic crises. For financial stability, policymakers should prioritize reducing pandemic-related deaths, utilize expansionary monetary policies with health support strategies, balance fiscal support to avoid excessive government spending, and implement measures to control inflation. It is essential to enhance coordination between healthcare, fiscal, and monetary authorities for effective policy implementation.

Suggested Citation

  • Lu Wang & Dongmin Ke, 2025. "Identifying policy determinants of bank default risk during the COVID-19 pandemic: empirical evidence from the U.S. and Canada," Applied Economics, Taylor & Francis Journals, vol. 57(59), pages 10372-10388, December.
  • Handle: RePEc:taf:applec:v:57:y:2025:i:59:p:10372-10388
    DOI: 10.1080/00036846.2024.2425860
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2024.2425860
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2024.2425860?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

    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:applec:v:57:y:2025:i:59:p:10372-10388. 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/RAEC20 .

    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.