Modeling portfolio defaults using Hidden Markov Models with covariates

K.P. Banachewicz, A.W. van der Vaart, A. Lucas

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

We extend the hidden Markov Model for defaults of Crowder et al. (2005, Quantitative Finance 5, 27-34) to include covariates. The covariates enhance the prediction of transition probabilities from high to low default regimes. To estimate the model, we extend the EM estimating equations to account for the time varying nature of the conditional likelihoods due to sample attrition and extension. Using empirical U.S. default data, we find that GDP growth, the term structure of interest rates and stock market returns impact the state transition probabilities. The impact, however, is not uniform across industries. We only find a weak correspondence between industry credit cycle dynamics and general business cycles. © Royal Economic Society 2008.
Original languageEnglish
Pages (from-to)155-171
JournalEconometrics Journal
Volume11
DOIs
Publication statusPublished - 2008

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