Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5090076 | Journal of Banking & Finance | 2011 | 10 Pages |
Abstract
We use a compound option-based structural credit risk model to estimate banking crisis risk for the United States based on market data on bank stocks on a daily frequency. We contribute to the literature by providing separate information on short-term, long-term and total crisis risk instead of a single-maturity risk measure usually inferred by Merton-type models or barrier models. We estimate the model by applying the Duan (1994) maximum-likelihood approach. A strongly increasing total crisis risk estimated from early July 2007 onwards is driven mainly by short-term crisis risk. Banks that defaulted or were overtaken during the crisis have a considerably higher crisis risk (especially higher long-term risk) than banks that survived the crisis.
Related Topics
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Authors
Stefan Eichler, Alexander Karmann, Dominik Maltritz,