Volume 31, Issue 1 p. 176-202
ORIGINAL ARTICLE

Model risk in credit risk

Roberto Fontana

Roberto Fontana

Department of Mathematical Sciences G. Lagrange, Politecnico di Torino, Corso Duca degli Abruzzi, Torino, Italy

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Elisa Luciano

Elisa Luciano

ESOMAS Department and Collegio Carlo Alberto, Università di Torino, Torino, Italy

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Patrizia Semeraro

Corresponding Author

Patrizia Semeraro

Department of Mathematical Sciences G. Lagrange, Politecnico di Torino, Corso Duca degli Abruzzi, Torino, Italy

Correspondence

Patrizia Semeraro, Department of Mathematical Sciences G. Lagrange, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy.

Email: patrizia.semeraro@polito.it

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First published: 17 August 2020
Citations: 6

Funding information: Italian Ministry of Education, University and Research (MIUR), “Dipartimenti di Eccellenza” grant 2018-2022.

Abstract

We provide sharp analytical upper and lower bounds for value-at-risk (VaR) and sharp bounds for expected shortfall (ES) of portfolios of any dimension subject to default risk. To do so, the main methodological contribution of the paper consists in analytically finding the convex hull generators for the class of exchangeable Bernoulli variables with given mean and for the class of exchangeable Bernoulli variables with given mean and correlation in any dimension. Using these analytical results, we first describe all possible dependence structures for default, in the class of finite sequences of exchangeable Bernoulli random variables. We then measure how model risk affects VaR and ES.

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