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The role of non-financial factors in internal credit ratings

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  • Grunert, Jens
  • Norden, Lars
  • Weber, Martin

Abstract

Internal credit ratings are expected to gain in importance because of their potential use for determining regulatory capital adequacy and banks? increasing focus on the risk-return profile in commercial lending. Therefore, the components of internal credit ratings merit not only a qualitative but also a quantitative analysis. Whereas the eligibility of financial factors as inputs for credit ratings is widely accepted, the role of non-financial factors remains ambiguous. Analysing credit file data from four major German banks we find evidence that the combined use of financial and non-financial factors leads to a more accurate prediction of current and future default events than the single use of each of these factors respectively.
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  • Grunert, Jens & Norden, Lars & Weber, Martin, 2005. "The role of non-financial factors in internal credit ratings," Journal of Banking & Finance, Elsevier, vol. 29(2), pages 509-531, February.
    • Handle: RePEc:eee:jbfina:v:29:y:2005:i:2:p:509-531
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    1. Elsas, Ralf & Krahnen, Jan Pieter, 1998. "Is relationship lending special? Evidence from credit-file data in Germany," Journal of Banking & Finance, Elsevier, vol. 22(10-11), pages 1283-1316, October.
    2. Crouhy, Michel & Galai, Dan & Mark, Robert, 2001. "Prototype risk rating system," Journal of Banking & Finance, Elsevier, vol. 25(1), pages 47-95, January.
    3. Bhattacharya Sudipto & Thakor Anjan V., 1993. "Contemporary Banking Theory," Journal of Financial Intermediation, Elsevier, vol. 3(1), pages 2-50, October.
    4. William B. English & William R. Nelson, 1998. "Bank risk rating of business loans," Finance and Economics Discussion Series 1998-51, Board of Governors of the Federal Reserve System (U.S.).
    5. Berger, Allen N. & Miller, Nathan H. & Petersen, Mitchell A. & Rajan, Raghuram G. & Stein, Jeremy C., 2005. "Does function follow organizational form? Evidence from the lending practices of large and small banks," Journal of Financial Economics, Elsevier, vol. 76(2), pages 237-269, May.
    6. Ewert, Ralf & Szczesny, Andrea, 2001. "Countdown for the New Basle Capital Accord: Are German banks ready for the internal ratings-based approach?," CFS Working Paper Series 2001/05, Center for Financial Studies (CFS).
    7. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    8. Douglas W. Diamond, 1984. "Financial Intermediation and Delegated Monitoring," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(3), pages 393-414.
    9. Brunner, Antje & Pieter, Jan & Weber, Martin, 2000. "Information production in credit relationship: On the role of internal ratings in commercial banking," CFS Working Paper Series 2000/10, Center for Financial Studies (CFS).
    10. Krahnen, Jan Pieter & Weber, Martin, 2001. "Generally accepted rating principles: A primer," Journal of Banking & Finance, Elsevier, vol. 25(1), pages 3-23, January.
    11. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    12. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    13. Jeremy C. Stein, 2002. "Information Production and Capital Allocation: Decentralized versus Hierarchical Firms," Journal of Finance, American Finance Association, vol. 57(5), pages 1891-1921, October.
    14. Treacy, William F. & Carey, Mark, 2000. "Credit risk rating systems at large US banks," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 167-201, January.
    15. Altman, Edward I. & Haldeman, Robert G. & Narayanan, P., 1977. "ZETATM analysis A new model to identify bankruptcy risk of corporations," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 29-54, June.
    16. Jeremy C. Stein, 2000. "Information Production and Capital Allocation: Decentralized vs. Hierarchical Firms," NBER Working Papers 7705, National Bureau of Economic Research, Inc.
    17. Tabakis, Evangelos & Vinci, Anna, 2002. "Analysing and combining multiple credit assessments of financial institutions," Working Paper Series 123, European Central Bank.
    18. Carey, Mark & Hrycay, Mark, 2001. "Parameterizing credit risk models with rating data," Journal of Banking & Finance, Elsevier, vol. 25(1), pages 197-270, January.
    19. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    20. Leland, Hayne E & Pyle, David H, 1977. "Informational Asymmetries, Financial Structure, and Financial Intermediation," Journal of Finance, American Finance Association, vol. 32(2), pages 371-387, May.
    21. Machauer, Achim & Weber, Martin, 1998. "Bank behavior based on internal credit ratings of borrowers," Journal of Banking & Finance, Elsevier, vol. 22(10-11), pages 1355-1383, October.
    22. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    23. Zmijewski, Me, 1984. "Methodological Issues Related To The Estimation Of Financial Distress Prediction Models," Journal of Accounting Research, Wiley Blackwell, vol. 22, pages 59-82.
    24. William B. English & William R. Nelson, 1999. "Bank risk rating of business loans," Proceedings 619, Federal Reserve Bank of Chicago.
    25. Elsas, Ralf & Henke, Sabine & Machauer, Achim & Rott, Roland & Schenk, Gerald, 1998. "Empirical analysis of credit relationships in small firms financing: Sampling design and descriptive statistics," CFS Working Paper Series 1998/14, Center for Financial Studies (CFS).
    26. Weber, Martin & Krahnen, Jan Pieter & Voßmann, Frank, 1998. "Risikomessung im Kreditgeschäft: Eine empirische Analyse bankinterner Ratingverfahren," Sonderforschungsbereich 504 Publications 98-45, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
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    More about this item

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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