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Soft Information and Default Prediction in Cooperative and Social Banks

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  • Simon Cornée

    (CREM UMR CNRS 6211, University of Rennes 1, and CERMi, France)

Abstract

In this paper, to begin with, we define soft information as qualitative, subjective information produced by banks through the establishment of long-term lending relationships. We then highlight the importance of soft information for cooperative and social banks in the screening, pricing and monitoring of their borrowers as a result of their institutional features (governance, values, etc.) and the specificities of their clientele. We finally emphasise the value of qualitative (economic, social and/or environmental) factors stemming from the production of soft information in predicting credit default events.

Suggested Citation

  • Simon Cornée, 2014. "Soft Information and Default Prediction in Cooperative and Social Banks," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 201402, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.
  • Handle: RePEc:tut:cremwp:201402
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    More about this item

    Keywords

    Relationship Lending; Soft Information; Credit Rating; Cooperative and Social Banking;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • P13 - Economic Systems - - Capitalist Systems - - - Cooperative Enterprises

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