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Rating Assignments: Lessons from International Banks

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  • Guglielmo Maria Caporale
  • Roman Matousek
  • Chris Stewart

Abstract

This paper estimates ordered logit and probit regression models for bank ratings which also include a country index to capture country-specific variation. The empirical findings provide support to the hypothesis that the individual international bank ratings assigned by Fitch Ratings are underpinned by fundamental quantitative financial analyses. Also, there is strong evidence of a country effect. Our model is shown to provide accurate predictions of bank ratings for the period prior to the 2007 - 2008 banking crisis based upon publicly available information. However, our results also suggest that quantitative models are not likely to be able to predict ratings with complete accuracy. Furthermore, we find that both quantitative models and rating agencies are likely to produce highly inaccurate predictions of ratings during periods of financial instability.

Suggested Citation

  • Guglielmo Maria Caporale & Roman Matousek & Chris Stewart, 2009. "Rating Assignments: Lessons from International Banks," Discussion Papers of DIW Berlin 868, DIW Berlin, German Institute for Economic Research.
  • Handle: RePEc:diw:diwwpp:dp868
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    1. Williams, Gwion & Alsakka, Rasha & ap Gwilym, Owain, 2013. "The impact of sovereign rating actions on bank ratings in emerging markets," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 563-577.
    2. 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.
    3. Vincenzo D’Apice & Giovanni Ferri & Punziana Lacitignola, 2016. "Rating Performance and Bank Business Models: Is There a Change with the 2007–2009 Crisis?," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 2(3), pages 385-420, November.
    4. Hu, Haoshen & Prokop, Jörg & Shi, Yukun & Trautwein, Hans-Michael, 2020. "The rating spillover from banks to sovereigns: An empirical investigation across the European Union," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 64(C).
    5. Kimmel, Randall K. & Thornton, John H. & Bennett, Sara E., 2016. "Can statistics-based early warning systems detect problem banks before markets?," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 190-216.
    6. 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.
    7. Y. Sree Rama Murthy & Saeed Al-Muharrami, 2020. "Credit Rating Strategies: A Study of GCC Banks," SAGE Open, , vol. 10(4), pages 21582440209, December.
    8. Williams, Gwion & Alsakka, Rasha & ap Gwilym, Owain, 2015. "Does sovereign creditworthiness affect bank valuations in emerging markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 36(C), pages 113-129.
    9. Meriläinen, Jari-Mikko & Junttila, Juha, 2020. "The relationship between credit ratings and asset liquidity: Evidence from Western European banks," Journal of International Money and Finance, Elsevier, vol. 108(C).
    10. Giovanni Ferri & Panu Kalmi & Eeva Kerola, 2014. "Organizational Structure and Exposure to Crisis among European Banks: Evidence from Rating Changes," Journal of Entrepreneurial and Organizational Diversity, European Research Institute on Cooperative and Social Enterprises, vol. 3(1), pages 35-55, June.
    11. Valdir Domeneghetti & Fabiano Guasti Lima, 2019. "Strategic direction re-evaluation of bank ratings in Brazil," Economics Bulletin, AccessEcon, vol. 39(2), pages 1336-1347.
    12. Simona Galletta & Sebastiano Mazzù & Valeria Naciti, 2021. "Banks' business strategy and environmental effectiveness: The monitoring role of the board of directors and the managerial incentives," Business Strategy and the Environment, Wiley Blackwell, vol. 30(5), pages 2656-2670, July.
    13. Pompella, Maurizio & Dicanio, Antonio, 2017. "Ratings based Inference and Credit Risk: Detecting likely-to-fail Banks with the PC-Mahalanobis Method," Economic Modelling, Elsevier, vol. 67(C), pages 34-44.
    14. Hu, Haoshen & Prokop, Jörg & Trautwein, Hans-Michael, 2022. "Transnational spillover effects of European sovereign rating signals on bank stock returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 171-182.
    15. Klusak, Patrycja & Alsakka, Rasha & Gwilym, Owain ap, 2017. "Does the disclosure of unsolicited sovereign rating status affect bank ratings?," The British Accounting Review, Elsevier, vol. 49(2), pages 194-210.
    16. Jones, Laurence & Alsakka, Rasha & ap Gwilym, Owain & Mantovan, Noemi, 2022. "Regulating rating agencies: A conservative behavioural change," Journal of Financial Stability, Elsevier, vol. 60(C).
    17. Zhivaikina, A. & Peresetsky, A., 2017. "Russian Bank Credit Ratings and Bank License Withdrawal 2012-2016," Journal of the New Economic Association, New Economic Association, vol. 36(4), pages 49-80.
    18. Cuadros-Solas, Pedro J. & Salvador, Carlos & Suárez, Nuria, 2021. "Am I riskier if I rescue my banks? Beyond the effects of bailouts," Journal of Financial Stability, Elsevier, vol. 56(C).
    19. Alsakka, Rasha & ap Gwilym, Owain & Vu, Tuyet Nhung, 2014. "The sovereign-bank rating channel and rating agencies' downgrades during the European debt crisis," Journal of International Money and Finance, Elsevier, vol. 49(PB), pages 235-257.
    20. Carlos Pestana Barros & Emanuel Reis Leão & Nkanga Pedro João Macanda & Zorro Mendes, 2016. "A Bayesian Efficiency Analysis of Angolan Banks," South African Journal of Economics, Economic Society of South Africa, vol. 84(3), pages 484-498, September.

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    More about this item

    Keywords

    International banks; ratings; ordered choice models; country index;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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