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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 0123, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:20020123
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    File URL: http://www.ecb.europa.eu/pub/pdf/scpwps/ecbwp123.pdf
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    Cited by:

    1. repec:eee:ecofin:v:44:y:2018:i:c:p:289-313 is not listed on IDEAS
    2. 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.
    3. 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.
    4. 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.
    5. 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.

    More about this item

    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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