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Author:Truck, S.
Title:Forecasting credit migration matrices with business cycle effects—a model comparison
Journal:European Journal of Finance
2008 : JUL-SEP, VOL. 14:5-6, p. 359-379
Index terms:credit
forecasting
business cycles
migration
risk management
models
Freeterms:transition matrices
credit VaR
numerical adjustment methods
Language:eng
Abstract:The article compares a factor model approach and numerical adjustment methods for estimation and forecasting of conditional migration matrices.It is found that the methods may lead to quite different forecasting results. Although the numerical adjustment methods fail to outperform the naive approach of taking previous year's migration matrix as an estimator, the one-factor model provides significantly better in-sample and out-of-sample results. Additionally, on the basis of a chosen risk-sensitive goodness-of-fit criteria, it is able to interpret the results in terms of risk.
SCIMA record nr: 272415
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