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Modelling of Credit Ratings

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Handbook of Ratings

Abstract

This chapter deals with the modeling of credit ratings. The original results quoted are based on the role and main provisions of the Basel Agreements dealing with the regulation of banking risks. Bank rating models by the top rating agencies and the models of default probability of various entities are reviewed. Rating scales used by different agencies are compared.

This chapter was written jointly with A. Kostrov.

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Bibliography

  • Altman EI, Rijken H (2004) How rating agencies achieve rating stability. J Bank Financ 28:2679–2714

    Article  Google Scholar 

  • Altman E, Saunders A (1998) Credit risk measurement: developments over the last 20 years. J Bank Financ 21:1721–1742

    Article  Google Scholar 

  • Barton A (2006) Split credit ratings and the prediction of the Basel II environment. University of F Southampton. Faculty of law, arts and social science. School of Management

    Google Scholar 

  • Basel II (2006) International convergence of capital measurement and capital standards: a revised framework – comprehensive version

    Google Scholar 

  • Basel III (2011) A global regulatory framework for more resilient banks and banking systems – revised version. Basel Committee on Banking Supervision

    Google Scholar 

  • Bissoondoyal-Bheenick E (2005) An analysis of the determinants of sovereign ratings. Global Financ J 15:251–280

    Article  Google Scholar 

  • Bluhm C, Overbeck L, Wagner C (2010) Introduction to credit risk modeling. Chapman and Hall/CRC, Boca Raton

    Google Scholar 

  • Bongaerts D, Martijn Cremers KJ, Goetzmann WN (2012) Tiebreaker: certification and multiple credit ratings. J Financ 67(1):113–152

    Article  Google Scholar 

  • Borio C (2003) Towards a macroprudential framework for financial supervision and regulation? BIS Working Papers, â„– 128

    Google Scholar 

  • Claeys S, Schoors K (2005) Bank supervision Russian style: evidence of conflicts between micro’ and macro’ prudential concerns. J Comp Econ 35(3):63–657

    Google Scholar 

  • Ong M (ed) (2002) Credit ratings. Methodologies, rationale and default risk. Risk Books, London

    Google Scholar 

  • Demirguc-Kunt A, Huizinga H (2004) Market discipline and deposit insurance. J Monet Econ 51:375–399

    Article  Google Scholar 

  • Fungacova Z, Solanko L (2008) Risk-taking by Russian banks: Do location, ownership and size matter? BOFIT Discussion Papers 21/2008. Bank of Finland. Institute for Economies in Transition

    Google Scholar 

  • IMF (2012) Macrofinancial stress testing—principles and practices. Prepared by the Monetary and Capital Markets Department

    Google Scholar 

  • IMF (2014) Financial sector stability assessment. Canada, IMF Country Report, No. 14/29. http://www.imf.org/external/pubs/ft/scr/2014/cr1429.pdf

  • Kaminsky C, Schmucler S (2002) Rating agencies and financial markets. In: Levich R, Majononi G, Reinhart C (eds) Ratings, rating agencies and the global financial system. Kluwer, Boston

    Google Scholar 

  • Kaminsky G (1998) Currency and banking crises: the early warnings of distress. George Washington University, Washington

    Google Scholar 

  • Karminsky A (2010) Rating model opportunities for emerging markets. Proceedings of the international scientific conference «challenges for analysis of the economy, the businesses, and social progress», University Press, Szeged

    Google Scholar 

  • Karminsky A (2012) The multiplication of the credit rating agencies efforts under IRB approach. Invest Manag Financ Innov 9:4

    Google Scholar 

  • Karminsky A (2015) The synergy of rating agencies efforts: Russian experience. Proceedings of the Perm Winter School

    Google Scholar 

  • Karminsky A (2015b) Credit ratings and there modeling. HSE Publishing House, Moscow [in Russian]

    Google Scholar 

  • Karminsky A, Peresetsky A (2009) Ratings as measure of financial risks: evolution, function and usage. J New Econ Assoc 1–2:86–102

    Google Scholar 

  • Karminsky A, Hainsworth R, Solodkov V (2013) Arm’s length method for comparing rating scales. Eur Econ Rev 3(2):114–135

    Article  Google Scholar 

  • Karminsky A, Kostrov A (2014) The probability of default in Russian banking. Eur Econ Rev 4(1):81–98

    Article  Google Scholar 

  • Kumbhakar SC, Lovell CAK (2003) Stochastic frontier analysis. Cambridge University Press, Cambridge

    Google Scholar 

  • Langohr H, Langohr P (2008) The rating agencies and there credit ratings. Wiley, Chichester

    Google Scholar 

  • Livingston M, Wei J, Zhou L (2010) Moody’s and S&P ratings: Are they equivalent? Conservative ratings and split rated bond yields. J Money Credit Bank 42:1267–1293

    Article  Google Scholar 

  • Moody’s (2007) Moody’s: Bank financial strength ratings: Moody’s investors service, global methodology. Moody’s Investors Service

    Google Scholar 

  • Moody’s (2009) Moody’s financial metrics. Key ratios by rating and industry for global non-financial corporations. Moody’s Investors Service, 2009. http://www.moodys.com/researchdocumentcontentpage.aspx?docid=PBC_121772

  • Parmenter D (2007) Key performance indicators: developing, implementing, and using winning KPIs. Harvard Business School Press, Boston

    Google Scholar 

  • Peresetsky A, Karminsky A (2012) Models for Moody’s bank ratings. Front Financ Econ 1:88–110

    Google Scholar 

  • Peresetsky A, Karminsky A, Golovan S (2011) Probability of default models of Russian banks. Econ Change Restruct 44(4):297–334

    Article  Google Scholar 

  • S&P (2011) Default, transition, and recovery: 2011 inaugural emerging markets corporate default study and rating transitions. www.standardandpoors.com/ratingsdirect

  • S&P (2013) Corporate ratings criteria, 2013. [Online] http://www.standardandpoors.com/prot/ratings/articles/en/eu/?artcleType=HTML&assetID=1245363389556

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Karminsky, A., Polozov, A. (2016). Modelling of Credit Ratings. In: Handbook of Ratings. Springer, Cham. https://doi.org/10.1007/978-3-319-39261-5_3

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