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The term structure of banking crisis risk in the United States: A market data based compound option approach

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  • Eichler, Stefan
  • Karmann, Alexander
  • Maltritz, Dominik

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.

Suggested Citation

  • Eichler, Stefan & Karmann, Alexander & Maltritz, Dominik, 2011. "The term structure of banking crisis risk in the United States: A market data based compound option approach," Journal of Banking & Finance, Elsevier, vol. 35(4), pages 876-885, April.
  • Handle: RePEc:eee:jbfina:v:35:y:2011:i:4:p:876-885
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    References listed on IDEAS

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    Cited by:

    1. Caggiano, Giovanni & Calice, Pietro & Leonida, Leone, 2014. "Early warning systems and systemic banking crises in low income countries: A multinomial logit approach," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 258-269.
    2. Betz, Frank & Oprică, Silviu & Peltonen, Tuomas A. & Sarlin, Peter, 2014. "Predicting distress in European banks," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 225-241.
    3. Ranjeeni, Kumari, 2014. "Sectoral and industrial performance during a stock market crisis," Economic Systems, Elsevier, vol. 38(2), pages 178-193.
    4. repec:eee:matsoc:v:87:y:2017:i:c:p:85-91 is not listed on IDEAS
    5. Kauko, Karlo, 2014. "How to foresee banking crises? A survey of the empirical literature," Economic Systems, Elsevier, vol. 38(3), pages 289-308.

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