Semi-Markov backward credit risk migration models compared with Markov models

In this paper an application by means real financial data is made in the field of migration models, i.e. the models that analyzes default studies and rating transitions. Data refers to long-term ratings from Standard & Poor's historical file from 1975 to 2007. The mathematical tools used are Markov, semi-Markov and backward recurrence time processes.

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