Banking Crises, Early Warning Models, and Efficiency
Pavlos Almanidis and
Robin Sickles
Working Papers from Rice University, Department of Economics
Abstract:
This paper proposes a general model that combines the Mixture Hazard Model with the Stochastic Frontier Model for the purposes of investigating the main determinants of the failures and performances of a panel of U.S. commercial banks during the financial crisis that began in 2007. The combined model provides measures of the probability and time to failure conditional on a bank's performance and vice versa. Both continuous-time and discrete-time specifications of the model are considered in the paper. The estimation is carried out via the expectation-maximization algorithm due to incomplete information regarding the identity of at-risk banks. In- and out-of-sample predictive accuracy of the proposed models is investigated in order to assess their potential to serve as early warning tools.
JEL-codes: C33 C41 C51 D24 G01 G21 (search for similar items in EconPapers)
Date: 2015-06
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Citations: View citations in EconPapers (1)
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Chapter: Banking Crises, Early Warning Models, and Efficiency (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:ecl:riceco:15-006
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