Analytical Credit VAR with Stochastic Probabilities of Default and Recoveries

32 Pages Posted: 2 Jun 2009 Last revised: 28 Aug 2009

Date Written: June 1, 2009

Abstract

We extend the model presented in Bonollo et al. by introducing a multiscenario framework that allows for a richer and more realistic specification, including non-static (stochastic) probabilities of default and losses given default. Though more complex from a computational point of view, the model with scenarios is still tractable analytically, yielding results in closed form expressions. The approximated value at risk has been calculated by generalizing the procedure exposed in Bonollo et al. for the single scenario case, in the presence of granularity in the exposures, sector concentration and contagion. The outcome is not simply a weighted sum of the VaRs in the individual scenarios, but results in a more involved function of the single scenarios’ parameters. The theoretical model description is complemented with an in-depth numerical analysis.

Keywords: Basel II, second pillar, credit VaR, analytical formula, contagion risk, sectoral risk, stochastic default probability, stochastic recovery, scenario

JEL Classification: C63, G11, G38

Suggested Citation

Castagna, Antonio and Mercurio, Fabio and Mosconi, Paola, Analytical Credit VAR with Stochastic Probabilities of Default and Recoveries (June 1, 2009). Bloomberg Portfolio Research Paper No. 2009-05-FRONTIERS, Available at SSRN: https://ssrn.com/abstract=1413047 or http://dx.doi.org/10.2139/ssrn.1413047

Antonio Castagna (Contact Author)

Iason Ltd. ( email )

7th Floor, Hume House
Dublin, 4
Ireland

Fabio Mercurio

Bloomberg L.P. ( email )

731 Lexington Avenue
New York, NY 10022
United States

Paola Mosconi

IntesaSanpaolo Group ( email )

Banca IMI SpA
Largo Mattioli 3
Milano, Mi 20121
Italy