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Author:Lando, D.
Sködeberg, T. M.
Title:Analyzing rating transitions and rating drift with continuous observations
Journal:Journal of Banking and Finance
2002 : MAR, VOL. 26:2-3, p. 423-444
Index terms:Rating scales
Markov chains
Estimation
Language:eng
Abstract:The authors consider the estimation of credit rating transitions based on continuous-time observations. Through simple examples and using a large data set from Standard and Poor's, the they illustrate the difference between estimators based on discrete-time cohort nethods and estimators based on continuous observations. The authors apply semi-parametric regression techniques to test for two types of non-Markov effects in rating transitions: Duration dependence and dependence on previous rating. They find significant non-Markov effects, especially for the downgrade movements.
SCIMA record nr: 246606
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