IDEAS home Printed from https://ideas.repec.org/a/bla/jrinsu/v92y2025i3p818-850.html
   My bibliography  Save this article

Shared exposures or management fashions? Antecedents of convergence in the insurance and banking industries

Author

Listed:
  • Lei Fang
  • Gianvito Lanzolla
  • Andreas Tsanakas

Abstract

We study convergence in the attention of decision‐makers across the insurance and banking industries. Our analysis is based on textual risk disclosures (10‐K reports, 2006–2018), providing a snapshot of corporate priorities and contexts. We theoretically link convergence with decision‐making contexts via the Attention‐Based View. Leveraging strategic management theory, we identify antecedents of convergence in attention and, therefore, potentially, risk contagion. These include common trends in the macro‐environment, substitution threats, and management fashions. We combine this theoretical framework with machine learning tools to create quantitative measures of convergence in attention and its antecedents. We find that the proposed measure of convergence is predictive of inter‐ and intra‐industry stock correlations. Finally, based on regression and sensitivity analyses, we identify the relative importance of different antecedents, showing that shared risk management fashions largely drive Inter‐industry convergence in attention. This highlights challenges when interpreting regulatory text data in the context of predicting contagion risk.

Suggested Citation

  • Lei Fang & Gianvito Lanzolla & Andreas Tsanakas, 2025. "Shared exposures or management fashions? Antecedents of convergence in the insurance and banking industries," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 92(3), pages 818-850, September.
  • Handle: RePEc:bla:jrinsu:v:92:y:2025:i:3:p:818-850
    DOI: 10.1111/jori.70013
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/jori.70013
    Download Restriction: no

    File URL: https://libkey.io/10.1111/jori.70013?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

    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:bla:jrinsu:v:92:y:2025:i:3:p:818-850. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/ariaaea.html .

    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.