Calabrese, Raffaella (2014) Downturn Loss Given Default: Mixture distribution estimation. European Journal of Operational Research, 237 (1). pp. 271-277. DOI https://doi.org/10.1016/j.ejor.2014.01.043
Calabrese, Raffaella (2014) Downturn Loss Given Default: Mixture distribution estimation. European Journal of Operational Research, 237 (1). pp. 271-277. DOI https://doi.org/10.1016/j.ejor.2014.01.043
Calabrese, Raffaella (2014) Downturn Loss Given Default: Mixture distribution estimation. European Journal of Operational Research, 237 (1). pp. 271-277. DOI https://doi.org/10.1016/j.ejor.2014.01.043
Abstract
The internal estimates of Loss Given Default (LGD) must reflect economic downturn conditions, thus estimating the “downturn LGD”, as the new Basel Capital Accord Basel II establishes. We suggest a methodology to estimate the downturn LGD distribution to overcome the arbitrariness of the methods suggested by Basel II. We assume that LGD is a mixture of an expansion and recession distribution. In this work, we propose an accurate parametric model for LGD and we estimate its parameters by the EM algorithm. Finally, we apply the proposed model to empirical data on Italian bank loans
Item Type: | Article |
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Uncontrolled Keywords: | Downturn LGD; Mixture model; EM algorithm; Mixed random variable |
Subjects: | H Social Sciences > HG Finance |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 24 Oct 2014 14:57 |
Last Modified: | 05 Dec 2024 16:00 |
URI: | http://repository.essex.ac.uk/id/eprint/11175 |
Available files
Filename: definitiveversion.pdf