IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/20010.html

Artificial Intelligence and Relationship Lending

Author

Listed:
  • Gambacorta, Leonardo
  • Sabatini, Fabiana
  • Schiaffi, Stefano

Abstract

We study the interaction between banks’ adoption of artificial intelligence (AI) in credit scoring and relationship lending. Using a unique dataset on Italian banks’ investments in AI for the purpose of integrating their credit scoring techniques, matched with credit register data from one year before and one year after the outbreak of the Covid-19 crisis, we find that AI investments help banks mitigate the typical countercyclical effects of relationship lending on firms’ credit supply, as well as on their investment and employment decisions.

Suggested Citation

  • Gambacorta, Leonardo & Sabatini, Fabiana & Schiaffi, Stefano, 2025. "Artificial Intelligence and Relationship Lending," CEPR Discussion Papers 20010, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:20010
    as

    Download full text from publisher

    File URL: https://cepr.org/publications/DP20010
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General

    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:cpr:ceprdp:20010. 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: CEPR (email available below). General contact details of provider: https://cepr.org/ .

    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.