Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/3437
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dc.contributor.authorCaporale, GM-
dc.contributor.authorMatousek, R-
dc.contributor.authorStewart, C-
dc.coverage.spatial26en
dc.date.accessioned2009-07-08T15:20:38Z-
dc.date.available2009-07-08T15:20:38Z-
dc.date.issued2009-
dc.identifier.citationEconomics and Finance Discussion Paper, Brunel University, 09-19.en
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/3437-
dc.description.abstractThis 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.en
dc.format.extent191045 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherBrunel Universityen
dc.subjectInternational banks; ratings; ordered choice models; country indexen
dc.titleRating assignments: Lessons from international banksen
dc.typeWorking Paperen
Appears in Collections:Economics and Finance
Dept of Economics and Finance Research Papers

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