Title

Take it to the limit: Innovative CVaR applications to extreme credit risk measurement

Document Type

Journal Article

Publisher

Elsevier BV

Place of Publication

Netherlands

Faculty

Faculty of Business and Law

School

School of Business/Markets and Services Research Centre

RAS ID

18439

Comments

Originally published as: Allen, D., Powell, R. , & Singh, A. (2014). Take it to the limit: Innovative CVaR applications to extreme credit risk measurement. European Journal of Operational Research, 249(2), 465-475. Original article available here

Abstract

The Global Financial Crisis (GFC) demonstrated the devastating impact of extreme credit risk on global economic stability. We develop four credit models to better measure credit risk in extreme economic circumstances, by applying innovative Conditional Value at Risk (CVaR) techniques to structural models (called Xtreme-S), transition models (Xtreme-T), quantile regression models (Xtreme-Q), and the author's unique iTransition model (Xtreme-. i) which incorporates industry factors into transition matrices. We find the Xtreme-S and Xtreme-Q models to be the most responsive to changing market conditions. The paper also demonstrates how the models can be used to determine capital buffers required to deal with extreme credit risk.

DOI

10.1016/j.ejor.2014.12.017

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