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Ratings assignments: Lessons from international banks

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  • Caporale, Guglielmo Maria
  • Matousek, Roman
  • Stewart, Chris

Abstract

This paper estimates ordered logit models for bank ratings which include a country index to capture country-specific variation. The empirical findings support 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 unlikely 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

  • Caporale, Guglielmo Maria & Matousek, Roman & Stewart, Chris, 2012. "Ratings assignments: Lessons from international banks," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1593-1606.
  • Handle: RePEc:eee:jimfin:v:31:y:2012:i:6:p:1593-1606
    DOI: 10.1016/j.jimonfin.2012.02.018
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    1. Ederington, Louis H, 1985. "Classification Models and Bond Ratings," The Financial Review, Eastern Finance Association, vol. 20(4), pages 237-262, November.
    2. Kamstra, Mark & Kennedy, Peter, 1998. "Combining qualitative forecasts using logit," International Journal of Forecasting, Elsevier, vol. 14(1), pages 83-93, March.
    3. David F. Hendry & Carlos Santos, 2005. "Regression Models with Data‐based Indicator Variables," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(5), pages 571-595, October.
    4. Amato, Jeffery D. & Furfine, Craig H., 2004. "Are credit ratings procyclical?," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2641-2677, November.
    5. Kolari, James & Glennon, Dennis & Shin, Hwan & Caputo, Michele, 2002. "Predicting large US commercial bank failures," Journal of Economics and Business, Elsevier, vol. 54(4), pages 361-387.
    6. Carmen M. Reinhart, 2002. "An Introduction," The World Bank Economic Review, World Bank, vol. 16(2), pages 149-150, August.
    7. David F. Hendry, 2001. "Modelling UK inflation, 1875-1991," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 255-275.
    8. West, Rr, 1970. "Alternative Approach To Predicting Corporate Bond Ratings," Journal of Accounting Research, Wiley Blackwell, vol. 8(1), pages 118-125.
    9. Altman, Edward I. & Bharath, Sreedhar T. & Saunders, Anthony, 2002. "Credit ratings and the BIS capital adequacy reform agenda," Journal of Banking & Finance, Elsevier, vol. 26(5), pages 909-921, May.
    10. Kamstra, Mark & Kennedy, Peter & Suan, Teck-Kin, 2001. "Combining Bond Rating Forecasts Using Logit," The Financial Review, Eastern Finance Association, vol. 36(2), pages 75-96, May.
    11. Feng, D. & Gourieroux, C. & Jasiak, J., 2008. "The ordered qualitative model for credit rating transitions," Journal of Empirical Finance, Elsevier, vol. 15(1), pages 111-130, January.
    12. David T. Llewellyn, 2008. "The Northern Rock crisis: a multi-dimensional problem waiting to happen," Proceedings 1089, Federal Reserve Bank of Chicago.
    13. Altman, Edward I. & Saunders, Anthony, 2001. "An analysis and critique of the BIS proposal on capital adequacy and ratings," Journal of Banking & Finance, Elsevier, vol. 25(1), pages 25-46, January.
    14. Pinches, George E & Mingo, Kent A, 1973. "A Multivariate Analysis of Industrial Bond Ratings," Journal of Finance, American Finance Association, vol. 28(1), pages 1-18, March.
    15. David T. Llewellyn, 2008. "The Northern Rock crisis: a multi‐dimensional problem waiting to happen," Journal of Financial Regulation and Compliance, Emerald Group Publishing Limited, vol. 16(1), pages 35-58, February.
    16. Jackson, John D. & Boyd, James W., 1988. "A statistical approach to modeling the behavior of bond raters," Journal of Behavioral Economics, Elsevier, vol. 17(3), pages 173-193.
    17. 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.
    18. Pinches, George E & Mingo, Kent A, 1975. "The Role of Subordination and Industrial Bond Ratings," Journal of Finance, American Finance Association, vol. 30(1), pages 201-206, March.
    19. Meyer, Paul A & Pifer, Howard W, 1970. "Prediction of Bank Failures," Journal of Finance, American Finance Association, vol. 25(4), pages 853-868, September.
    20. 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.
    21. Horrigan, Jo, 1966. "Determination Of Long-Term Credit Standing With Financial Ratios," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 44-62.
    22. Stefanescu, Catalina & Tunaru, Radu & Turnbull, Stuart, 2009. "The credit rating process and estimation of transition probabilities: A Bayesian approach," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 216-234, March.
    23. James Kolari & Michele Caputo & Drew Wagner, 1996. "Trait Recognition: An Alternative Approach to Early Warning Systems in Commercial Banking," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 23(9-10), pages 1415-1434, December.
    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Valdir Domeneghetti & Fabiano Guasti Lima, 2019. "Strategic direction re-evaluation of bank ratings in Brazil," Economics Bulletin, AccessEcon, vol. 39(2), pages 1336-1347.
    9. 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.
    10. 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).
    11. 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.
    12. 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.
    13. 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.
    14. 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).
    15. Y. Sree Rama Murthy & Saeed Al-Muharrami, 2020. "Credit Rating Strategies: A Study of GCC Banks," SAGE Open, , vol. 10(4), pages 21582440209, December.
    16. 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.
    17. 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).
    18. 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.
    19. 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).
    20. 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.

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    More about this item

    Keywords

    International banks; Ratings; Ordered logit 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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