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Soft Information and Default Prediction in Cooperative and Social Banks

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  • Simon Cornée

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

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," Post-Print halshs-01114142, HAL.
    • Handle: RePEc:hal:journl:halshs-01114142
    DOI: 10.5947/jeod.2014.005
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    More about this item

    Keywords

    cooperative and social banking; credit rating; soft information; relationship lending;
    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 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Cooperative Enterprises

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