Models for Moody’s bank ratings
AbstractThe paper presents an econometric study of the two bank ratings assigned by Moody's Investors Service. According to Moody’s methodology, foreign-currency long-term deposit ratings are assigned on the basis of Bank Finan-cial Strength Ratings (BFSR), taking into account “external bank support factors” (joint-default analysis, JDA). Models for the (unobserved) external support are presented, and we find that models based solely on public infor-mation can approximate the ratings reasonably well. It appears that the ob-served rating degradation can be explained by the growth of the banking sys-tem as a whole. Moody’s has a special approach for banks in developing countries in general and for Russia in particular. The models help reveal the factors that are important for external bank support.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 34864.
Date of creation: 2011
Date of revision:
Publication status: Published in Frontiers in Finance and Economics 8.1(2011): pp. 88-110
Banks; Ratings; Rating model; Risk evaluation; Early Warning System;
Other versions of this item:
- G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-11-28 (All new papers)
- NEP-BAN-2011-11-28 (Banking)
- NEP-RMG-2011-11-28 (Risk Management)
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- Amato, Jeffery D. & Furfine, Craig H., 2004. "Are credit ratings procyclical?," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2641-2677, November.
- Marshall E. Blume & Felix Lim & A. Craig MacKinlay, . "The Declining Credit Quality of US Corporate Debt: Myth or Reality?," Rodney L. White Center for Financial Research Working Papers 03-98, Wharton School Rodney L. White Center for Financial Research.
- Altman, Edward I. & Rijken, Herbert A., 2004. "How rating agencies achieve rating stability," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2679-2714, November.
- Soest, A.H.O. van & Peresetsky, A. & Karminsky, A.M., 2003. "An Analysis of Ratings of Russian Banks," Discussion Paper 2003-85, Tilburg University, Center for Economic Research.
- Marshall E. Blume & Felix Lim & A. Craig Mackinlay, 1998. "The Declining Credit Quality of U.S. Corporate Debt: Myth or Reality?," Journal of Finance, American Finance Association, vol. 53(4), pages 1389-1413, 08.
- repec:fth:pennfi:67 is not listed on IDEAS
- Kaplan, Robert S & Urwitz, Gabriel, 1979. "Statistical Models of Bond Ratings: A Methodological Inquiry," The Journal of Business, University of Chicago Press, vol. 52(2), pages 231-61, April.
- Marshall E. Blume & Felix Lim & A. Craig MacKinlay, . "The Declining Credit Quality of US Corporate Debt: Myth or Reality?," Rodney L. White Center for Financial Research Working Papers 3-98, Wharton School Rodney L. White Center for Financial Research.
- Karminsky, A. & Sosyurko, V., 2011. "Comparison of Bank Credit Ratings for Various Agencies," Journal of the New Economic Association, New Economic Association, issue 12, pages 102-123.
- Peresetsky, A. A., 2011. "What factors drive the Russian banks license withdrawal," MPRA Paper 41507, University Library of Munich, Germany.
- Jarko Fidrmuc & Philipp J. Süss, 2011.
"The Outbreak of the Russian Banking Crisis,"
Czech Economic Review,
Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 5(1), pages 046-063, March.
- Petr Gurný & Martin Gurný, 2013. "Comparison of Credit Scoring Models on Probability of Default Estimation for Us Banks," Prague Economic Papers, University of Economics, Prague, vol. 2013(2), pages 163-181.
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