IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Ratings assignments: Lessons from international banks

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

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.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.sciencedirect.com/science/article/pii/S0261560612000599
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal Journal of International Money and Finance.

Volume (Year): 31 (2012)
Issue (Month): 6 ()
Pages: 1593-1606

as
in new window

Handle: RePEc:eee:jimfin:v:31:y:2012:i:6:p:1593-1606
Contact details of provider: Web page: http://www.elsevier.com/locate/inca/30443

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. 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.
  2. David T. Llewellyn, 2008. "The Northern Rock crisis: a multi-dimensional problem waiting to happen," Journal of Financial Regulation and Compliance, Emerald Group Publishing, vol. 16(1), pages 35-58, February.
  3. David F. Hendry & Carlos Santos, 2004. "Regression Models with Data-based Indicator Variables," Economics Papers 2004-W13, Economics Group, Nuffield College, University of Oxford.
  4. Giuliano Iannotta, 2006. "Testing for Opaqueness in the European Banking Industry: Evidence from Bond Credit Ratings," Journal of Financial Services Research, Springer, vol. 30(3), pages 287-309, December.
  5. Joan Jasiak & D. Feng & C. Gourieroux, 2006. "The Ordered Qualitative Model For Credit Rating Transitions," Working Papers 2006_2, York University, Department of Economics.
  6. 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.
  7. Amato, Jeffery D. & Furfine, Craig H., 2004. "Are credit ratings procyclical?," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2641-2677, November.
  8. Kamstra, M. & Kennedy, P. & Suan, T.-K., 1998. "Combining Bond Rating Forecasts Using Logit," Discussion Papers dp98-10, Department of Economics, Simon Fraser University.
  9. 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.
  10. Ederington, Louis H, 1985. "Classification Models and Bond Ratings," The Financial Review, Eastern Finance Association, vol. 20(4), pages 237-62, November.
  11. 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.
  12. 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.
  13. Kamastra, M & Kennedy, P, 1996. "Combining Qualitative Forecasts Using Logit," Discussion Papers dp96-08, Department of Economics, Simon Fraser University.
  14. Meyer, Paul A & Pifer, Howard W, 1970. "Prediction of Bank Failures," Journal of Finance, American Finance Association, vol. 25(4), pages 853-68, September.
  15. 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.
  16. 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.
  17. Reinhart, Carmen & Levich, Richard & Majoni, Giovanni, 2002. "Ratings, rating agencies and the global financial system: Summary and policy implications," MPRA Paper 13249, University Library of Munich, Germany.
  18. 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.
  19. David F. Hendry, 2001. "Modelling UK inflation, 1875-1991," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 255-275.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:jimfin:v:31:y:2012:i:6:p:1593-1606. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.