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

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  • José E. Gómez González

    ()

  • Nicholas M. Kiefer

    ()

Abstract

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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Bibliographic Info

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
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Handle: RePEc:col:000094:004016

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Keywords: Financial institutions; macroeconomic variables; capitalization; supervision; transition intensities.;

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  1. 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.
  2. 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.
  3. Kiefer, Nicholas M. & Larson, C. Erik, 2006. "A Simulation Estimator for Testing the Time Homogeneity of Credit Rating Transition," Working Papers 06-10, Cornell University, Center for Analytic Economics.
  4. N. Jonker, 2002. "Credit Ratings of the Banking Sector," WO Research Memoranda (discontinued) 714, Netherlands Central Bank, Research Department.
  5. Mahlmann, Thomas, 2006. "Estimation of rating class transition probabilities with incomplete data," Journal of Banking & Finance, Elsevier, vol. 30(11), pages 3235-3256, November.
  6. 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.
  7. Kiefer, Nicholas M, 1988. "Economic Duration Data and Hazard Functions," Journal of Economic Literature, American Economic Association, vol. 26(2), pages 646-79, June.
  8. 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.
  9. 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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Cited by:
  1. Jose E. Gómez & Paola Morales & Fernando Pineda & nzamudgo@banrep.gov.co, . "An Alternative Methodology for Estimating Credit Quality Transition Matrices," Borradores de Economia 478, Banco de la Republica de Colombia.
  2. Gómez-González, José Eduardo & Hinojosa, Inés Paola Orozco, 2010. "Estimation of conditional time-homogeneous credit quality transition matrices," Economic Modelling, Elsevier, vol. 27(1), pages 89-96, January.

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