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Dependence of default probability and recovery rate in structural credit risk models: Case of Greek banks

Abdelkader Derbali () and Lamia Jamel

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Abstract: The main idea of this paper is to examine the dependence between the probability of default (PD) and the recovery rate (RR). For the empirically methodology, we use the bootstrapped quantile regression and the simultaneous quantile regression for a sample of 17 Greece banks listed in Athens Exchange over the period of study from January 02, 2006 to December 31, 2012. The measurement of this dependence is determinate by using 7 indicators such as; the probability of default, the recovery rate, the number of defaults, the expected value of losses, the growth rate of GDP in Greece and three dummy variables (the exit of another firm of the Athens Exchange, the new firm is listed in the Athens exchange and the date of the failure of Greece). The main empirical results show that the probability of default and the recovery rate are inversely related. Based on this result, the banks are obliged to maximize their recovery rate to reduce their probability of default.

New Economics Papers: this item is included in nep-rmg
Date: 2018
Note: View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-01695998
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Published in Journal of the Knowledge Economy, Springer, In press, ⟨10.1007/s13132-017-0473-1⟩

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Journal Article: Dependence of Default Probability and Recovery Rate in Structural Credit Risk Models: Case of Greek Banks (2019) Downloads
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