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Arm's Length Method for Comparing Rating Scales

Author

Listed:
  • Richard Hainsworth

    () (President RusRating, a credit rating agency, CFA)

  • Alexander Karminsky

    () (National Research University Higher School of Economics)

  • Vasily Solodkov

    () (National Research University Higher School of Economics, PhD)

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 (in this case 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. Two ratings assigned by two credit rating agencies may differ for two reasons: the two agencies have different opinions about the relative positioning of the rated entity (e.g., issuer or security) with respect to the universe of other rated entities; both agencies position the rated entity with respect to the universe of other rated entities in the same way, but they use different symbols to represent this position. Type 1 differences should disappear when a large number of ratings are considered. The existence of type 2 differences will require a mapping from one rating scale to another. Studying international bank ratings for a five-year period shows that there are type 2 differences for the largest credit rating agencies. A mechanism for constructing mappings between scales could lead to more competition with new credit rating agencies.

Suggested Citation

  • Richard Hainsworth & Alexander Karminsky & Vasily Solodkov, 2012. "Arm's Length Method for Comparing Rating Scales," HSE Working papers WP BRP 01/FE/2012, National Research University Higher School of Economics.
  • Handle: RePEc:hig:wpaper:01/fe/2012
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. repec:ejn:ejefjr:v:6:y:2018:i:1:p:47-55 is not listed on IDEAS
    4. 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.
    5. 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.

    More about this item

    Keywords

    rating; rating scale; comparing; mapping; financial risk regulation;

    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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