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Evidence of non-Markovian behavior in the process of bank rating migrations

  • José E. Gómez González

    ()

  • Nicholas M. Kiefer

    ()

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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Paper provided by BANCO DE LA REPÚBLICA in its series BORRADORES DE ECONOMIA with number 004016.

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Length: 23
Date of creation: 26 Jul 2007
Date of revision:
Handle: RePEc:col:000094:004016
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  1. Bangia, Anil & Diebold, Francis X. & Kronimus, Andre & Schagen, Christian & Schuermann, Til, 2002. "Ratings migration and the business cycle, with application to credit portfolio stress testing," Journal of Banking & Finance, Elsevier, vol. 26(2-3), pages 445-474, March.
  2. Lando, David & Skodeberg, Torben M., 2002. "Analyzing rating transitions and rating drift with continuous observations," Journal of Banking & Finance, Elsevier, vol. 26(2-3), pages 423-444, March.
  3. Mahlmann, Thomas, 2006. "Estimation of rating class transition probabilities with incomplete data," Journal of Banking & Finance, Elsevier, vol. 30(11), pages 3235-3256, November.
  4. Kiefer, Nicholas M, 1988. "Economic Duration Data and Hazard Functions," Journal of Economic Literature, American Economic Association, vol. 26(2), pages 646-79, June.
  5. N. Jonker, 2002. "Credit Ratings of the Banking Sector," WO Research Memoranda (discontinued) 714, Netherlands Central Bank, Research Department.
  6. 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.
  7. Kiefer, Nicholas M. & Larson, C. Erik, 2007. "A simulation estimator for testing the time homogeneity of credit rating transitions," Journal of Empirical Finance, Elsevier, vol. 14(5), pages 818-835, December.
  8. 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.
  9. Giovanni Ferri & Li-Gang Liu, 2003. "How Do Global Credit-Rating Agencies Rate Firms from Developing Countries?," Asian Economic Papers, MIT Press, vol. 2(3), pages 30-56.
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