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Credit risk management in banks: Hard information, soft Information and manipulation

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  • Godbillon-Camus, Brigitte
  • Godlewski, Christophe

Abstract

The role of information’s processing in bank intermediation is a crucial input. The bank has access to different types of information in order to manage risk through capital allocation for Value at Risk coverage. Hard information, contained in balance sheet data and produced with credit scoring, is quantitative and verifiable. Soft information, produced within a bank relationship, is qualitative and non verifiable, therefore manipulable, but produces more precise estimation of the debtor’s quality. In this article, we investigate the impact of the information’s type on credit risk management in a principalagent framework with moral hazard with hidden information. The results show that access to soft information allows the banker to decrease the capital allocation for VaR coverage. We also show the existence of an incentive of the credit officer to manipulate the signal based on soft information that he produces. Therefore, we propose to implement an adequate incentive salary package which unables this manipulation. The comparison of the results from the two frameworks (information hard versus combination of hard and soft information) using simulations confirms that soft information gives an advantage to the banker but requires particular organizational modifications within the bank, as it allows to reduce capital allocation for VaR coverage.

Suggested Citation

  • Godbillon-Camus, Brigitte & Godlewski, Christophe, 2005. "Credit risk management in banks: Hard information, soft Information and manipulation," MPRA Paper 1873, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:1873
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    References listed on IDEAS

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    Cited by:

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    2. Ferri, Giovanni & Minetti, Raoul & Murro, Pierluigi, 2019. "Credit Relationships in the great trade collapse. Micro evidence from Europe," Journal of Financial Intermediation, Elsevier, vol. 40(C).
    3. Degryse, H.A. & Cerqueiro, G.M. & Ongena, S., 2007. "Distance, Bank Organizational Structure and Credit," Other publications TiSEM 34c2f607-3395-4fd9-9c52-4, Tilburg University, School of Economics and Management.
    4. Vitor Gonçalves & Francisco Vitorino Martins & Elísio Brandão, 2014. "The Determinants of Credit Default on Portuguese Start-Up Firms: .An Econometric model," FEP Working Papers 534, Universidade do Porto, Faculdade de Economia do Porto.
    5. Cerqueiro, Geraldo & Degryse, Hans & Ongena, Steven, 2011. "Rules versus discretion in loan rate setting," Journal of Financial Intermediation, Elsevier, vol. 20(4), pages 503-529, October.
    6. repec:dau:papers:123456789/5897 is not listed on IDEAS
    7. Hervé Alexandre & Aymen Smondel, 2010. "Substitution or complementarity between “soft” information and “hard” information: why and which effect on bank profitability?," Post-Print hal-01622844, HAL.
    8. Xiao-Yong Wang & Wei Zhang & Xiong Xiong & Hong-Li Che & Dehua Shen, 2015. "Information and Bargaining Power: Evidence from SME Lending in China," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(04), pages 901-913.
    9. Henselmann, Klaus & Scherr, Elisabeth, 2012. "Content analysis of XBRL filings as an efficient supplement of bankruptcy prediction? Empirical evidence based on US GAAP annual reports," Working Papers in Accounting Valuation Auditing 2012-2, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Accounting and Auditing.
    10. Wang, Yao & Drabek, Zdenek & Wang, Zhengwei, 2022. "The role of social and psychological related soft information in credit analysis: Evidence from a Fintech Company," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 96(C).
    11. Giampaolo Gabbi & Michele Giammarino & Massimo Matthias, 2020. "Die Hard: Probability of Default and Soft Information," Risks, MDPI, vol. 8(2), pages 1-12, May.
    12. repec:dau:papers:123456789/5068 is not listed on IDEAS

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    More about this item

    Keywords

    Hard information; Soft information; risk management; Value at Risk; moral hazard; hidden information; manipulation;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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