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Arm’s Length Method for Comparing Rating Scales

Author

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  • Alexander Karminsky

    ()

  • Richard Hainsworth

    ()

  • Vasily Solodkov

    ()

Abstract

Investors are being encouraged after the global crisis to reduce their dependence on the largest credit rating agencies for risk assessments of companies and securities. Comparing risk assessments from different sources rapidly becomes non-trivial when more than three credit rating agencies are involved. We propose a method for comparing rating scales, and hence constructing correspondence diagrams and tables, thereby treating the rating scales used by different agencies as objects of study. Scales are compared by looking at sets of ratings assigned to similar entities (hereinafter banks) with the assumption that the risk being measured by each credit rating agency is the same for a given rated entity at a given point in time. Studying international bank ratings for a five-year period shows that there are subtle differences for the largest credit rating agencies. A mechanism for constructing mappings between scales could lead to more competition with new credit rating agencies. Copyright Eurasia Business and Economics Society 2013

Suggested Citation

  • Alexander Karminsky & Richard Hainsworth & Vasily Solodkov, 2013. "Arm’s Length Method for Comparing Rating Scales," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 3(2), pages 114-135, December.
  • Handle: RePEc:spr:eurase:v:3:y:2013:i:2:p:114-135
    DOI: 10.14208/eer.2013.03.02.002
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    References listed on IDEAS

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    1. Guglielmo Maria Caporale & Roman Matousek & Chris Stewart, 2011. "EU Banks Rating Assignments: Is There Heterogeneity between New and Old Member Countries?," Review of International Economics, Wiley Blackwell, vol. 19(1), pages 189-206, February.
    2. Ferri, Giovanni & Liu, Li-Gang & Majnoni, Giovanni, 2001. "The role of rating agency assessments in less developed countries: Impact of the proposed Basel guidelines," Journal of Banking & Finance, Elsevier, vol. 25(1), pages 115-148, January.
    3. Aivazian, Sergey & Golovan, Sergey & Karminsky, Alexander & Peresetsky, Anatoly, 2011. "An approach to ratings mapping," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 23(3), pages 13-40.
    4. Karminsky, Alexandr & Peresetsky, Anatoly, 2007. "Models of Banks Ratings," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 5(1), pages 3-19.
    5. Alexandr Karminsky & Anatoly Peresetsky, 2009. "Ratings as Measure of Financial Risk: Evolution, Function and Usage," Journal of the New Economic Association, New Economic Association, issue 1-2, pages 86-102.
    6. Patrick Roy, 2013. "Is There a Difference Between Solicited and Unsolicited Bank Ratings and, If So, Why?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 44(1), pages 53-86, August.
    7. 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.
    8. Amato, Jeffery D. & Furfine, Craig H., 2004. "Are credit ratings procyclical?," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2641-2677, November.
    9. Dion Bongaerts & K. J. Martijn Cremers & William N. Goetzmann, 2012. "Tiebreaker: Certification and Multiple Credit Ratings," Journal of Finance, American Finance Association, vol. 67(1), pages 113-152, February.
    10. John M. Griffin & Dragon Yongjun Tang, 2012. "Did Subjectivity Play a Role in CDO Credit Ratings?," Journal of Finance, American Finance Association, vol. 67(4), pages 1293-1328, August.
    11. Alexander Karminsky & Richard Hainsworth & Vasily Solodkov, 2013. "Arm’s Length Method for Comparing Rating Scales," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 3(2), pages 114-135, December.
    12. Guttler, Andre & Wahrenburg, Mark, 2007. "The adjustment of credit ratings in advance of defaults," Journal of Banking & Finance, Elsevier, vol. 31(3), pages 751-767, March.
    13. Altman, Edward I. & Saunders, Anthony, 1997. "Credit risk measurement: Developments over the last 20 years," Journal of Banking & Finance, Elsevier, vol. 21(11-12), pages 1721-1742, December.
    14. Pederzoli, Chiara & Torricelli, Costanza, 2005. "Capital requirements and business cycle regimes: Forward-looking modelling of default probabilities," Journal of Banking & Finance, Elsevier, vol. 29(12), pages 3121-3140, December.
    15. Becker, Bo & Milbourn, Todd, 2011. "How did increased competition affect credit ratings?," Journal of Financial Economics, Elsevier, vol. 101(3), pages 493-514, September.
    16. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
    17. Пересецкий А.А. & Карминский А.М. & Ван Суст А.Г.О., 2004. "Моделирование Рейтингов Российских Банков," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 40(4), октябрь.
    18. 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.
    19. Spyros Pagratis & Marco Stringa, 2009. "Modeling Bank Senior Unsecured Ratings: A Reasoned Structured Approach to Bank Credit Assessment," International Journal of Central Banking, International Journal of Central Banking, vol. 5(2), pages 1-39, June.
    20. Richard Cantor & Frank Packer & Kevin Cole, 1997. "Split ratings and the pricing of credit risk," Research Paper 9711, Federal Reserve Bank of New York.
    21. Giuliano Iannotta, 2006. "Testing for Opaqueness in the European Banking Industry: Evidence from Bond Credit Ratings," Journal of Financial Services Research, Springer;Western Finance Association, vol. 30(3), pages 287-309, December.
    22. Jewell, Jeff & Livingston, Miles, 1998. "Split Ratings, Bond Yields, and Underwriter Spreads," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 21(2), pages 185-204, Summer.
    23. Anatoly Peresetsky, Alexander Karminsky, 2011. "Models for Moody’s Bank Ratings," Frontiers in Finance and Economics, SKEMA Business School, vol. 8(1), pages 88-110, April.
    24. Donald P. Morgan, 2002. "Rating Banks: Risk and Uncertainty in an Opaque Industry," American Economic Review, American Economic Association, vol. 92(4), pages 874-888, September.
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    Cited by:

    1. Alexander Karminsky & Richard Hainsworth & Vasily Solodkov, 2013. "Arm’s Length Method for Comparing Rating Scales," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 3(2), pages 114-135, December.
    2. Themistokles Lazarides & Evaggelos Drimpetas, 2016. "Defining the factors of Fitch rankings in the European banking sector," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 6(2), pages 315-339, August.
    3. Alexander Karminsky & Alexander Kostrov, 2014. "The probability of default in Russian banking," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 4(1), pages 81-98, June.
    4. Alexander M. Karminsky & Ella Khromova, 2016. "Modelling banks’ credit ratings of international agencies," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 6(3), pages 341-363, December.

    More about this item

    Keywords

    Rating; Rating Scale; Comparing; Mapping; Regulation; G21; G24; G32;

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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