Evidence of non-Markovian behavior in the process of bank rating migrations
This paper estimates transition matrices for the ratings on financial insti-tutions, using an unusually informative data set. We show that the process of rating migration exhibits significant non-Markovian behavior, in the sense that the transition intensities are affected by macroeconomic and bank spe- cific variables. We illustrate how the use of a continuous time framework may improve the estimation of the transition probabilities. However, the time homogeneity assumption, frequently done in economic applications, does not hold, even for short time intervals. Thus, the information provided by migrations alone is not enough to forecast the future behavior of ratings. The stage of the business cycle should be taken into account, and individual characteristics of banks must be considered as well.
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Center for Financial Institutions Working Papers
00-26, Wharton School Center for Financial Institutions, University of Pennsylvania.
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- Kiefer, Nicholas M, 1988. "Economic Duration Data and Hazard Functions," Journal of Economic Literature, American Economic Association, vol. 26(2), pages 646-79, June.
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- Liliana Rojas-Suarez, 2001. "Rating Banks in Emerging Markets: What Credit Rating Agencies Should Learn from Financial Indicators," Working Paper Series WP01-6, Peterson Institute for International Economics.
- Gomez-Gonzalez, Jose E. & Kiefer, Nicholas M., 2006. "Bank Failure: Evidence from the Colombia Financial Crisis," Working Papers 06-12, Cornell University, Center for Analytic Economics.
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