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Analysing and combining multiple credit assessments of financial institutions

Author

Listed:
  • Tabakis, Evangelos
  • Vinci, Anna

Abstract

The last consultative papers of the Basel Committee on Banking Supervision set the path for a future where a wealth of credit assessment sources may be available. New external credit assessment institutions and internal ratings-based assessments will be added to ratings of major international rating agencies and to benchmark assessment methods used by supervisors or central banks. In its first part, this paper contributes to the development of a toolbox to analyse and compare credit assessments by examining the ratings of three leading rating agencies on a set of credit institutions. The analysis decomposes the historical default rate corresponding to a rating into two components drawing on a 'core' of published information and an 'analyst contribution'. In the second part of the paper, correlation and variance analysis of the analyst contributions lead to a combination of the available ratings, building on both the common core and the analyst part JEL Classification: C21, C51, G15, G21, G28

Suggested Citation

  • Tabakis, Evangelos & Vinci, Anna, 2002. "Analysing and combining multiple credit assessments of financial institutions," Working Paper Series 123, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:2002123
    Note: 336357
    as

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    File URL: https://www.ecb.europa.eu//pub/pdf/scpwps/ecbwp123.pdf
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    Citations

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    Cited by:

    1. 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.
    2. Salvador, Carlos & Fernández de Guevara, Juan & Pastor, José Manuel, 2018. "The adjustment of bank ratings in the financial crisis: International evidence," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 289-313.
    3. Florez-Lopez, Raquel, 2007. "Modelling of insurers' rating determinants. An application of machine learning techniques and statistical models," European Journal of Operational Research, Elsevier, vol. 183(3), pages 1488-1512, December.
    4. Van Laere, Elisabeth & Baesens, Bart, 2010. "The development of a simple and intuitive rating system under Solvency II," Insurance: Mathematics and Economics, Elsevier, vol. 46(3), pages 500-510, June.
    5. Shen, Chung-Hua & Huang, Yu-Li & Hasan, Iftekhar, 2012. "Asymmetric benchmarking in bank credit rating," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(1), pages 171-193.
    6. Van Roy, Patrick, 2005. "Credit ratings and the standardised approach to credit risk in Basel II," Working Paper Series 517, European Central Bank.
    7. 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.
    8. Deimante Teresiene & Beatrice Gudaviciute, 2021. "Counterparty risk management framework: theoretical approach in COVID-19 environment," Technium Social Sciences Journal, Technium Science, vol. 17(1), pages 184-193, March.
    9. repec:zbw:bofrdp:2012_013 is not listed on IDEAS
    10. Mattarocci, Gianluca, 2005. "Il rapporto tra impresa e agenzia di rating: la soluzione del multi-rating," MPRA Paper 4295, University Library of Munich, Germany, revised Mar 2005.
    11. Maiya Anokhina & Henry Penikas & Victor Petrov, 2014. "Identifying SIFI Determinants for Global Banks and Insurance Companies: Implications for D-SIFIs in Russia," DEM Working Papers Series 085, University of Pavia, Department of Economics and Management.
    12. Shen, Chung-Hua & Huang, Yu-Li & Hasan, Iftekhar, 2012. "Asymmetric benchmarking in bank credit rating," Bank of Finland Research Discussion Papers 13/2012, Bank of Finland.
    13. repec:thr:techub:10017:y:2021:i:1:p:184-193 is not listed on IDEAS

    More about this item

    Keywords

    analysis of variance; analyst assessment; credit risk; default probabilities; internal-ratings based approach; New Basel Capital Accord; outliers; ratings; synthetic ratings;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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