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Soft Information and Default Prediction in Cooperative and Social Banks

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  • Simon Cornée

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.

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  • Simon Cornée, 2014. "Soft Information and Default Prediction in Cooperative and Social Banks," Working Papers CEB 14-005, ULB -- Universite Libre de Bruxelles.
    • Handle: RePEc:sol:wpaper:2013/156300
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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 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Cooperative Enterprises

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