A structural framework for network-based default contagion in credit portfolios
International Journal of Financial Engineering, vol. 13
Abstract
Portfolio credit risk models typically incorporate the default dependence between obligors that arises from common risk factors. However, they often ignore obligor-to-obligor default contagion effects, which can propagate through economic networks. We present a structural framework that can be layered onto existing factor models to capture higher-order network-based default contagion. Our approach yields efficient and tractable computations that are applicable to heterogeneous singly connected networks, which can represent empirically observed dependence structures such as supply chains, corporate groups and hierarchical governments. As a key contribution, we develop an expectation-maximization algorithm that estimates default contagion parameters from historical creditworthiness information. Our simulation-based numerical results show that the impact of default contagion on risk measures is well estimated by our framework.
Authors 4
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Affiliation as printed
Korteweg–de Vries Institute for Mathematics, University of Amsterdam, Amsterdam, Science Park 107, 1098XH, The Netherlands
Rabobank, Utrecht, Croeselaan 18, 3521CB, The Netherlands
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Leiden University · University of Amsterdam
Affiliation as printed
Korteweg–de Vries Institute for Mathematics, University of Amsterdam, Amsterdam, Science Park 107, 1098XH, The Netherlands
Mathematical Institute, Leiden University, Leiden, P. O. Box 512, 2300RA, The Netherlands
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Radboud University Nijmegen · University of Amsterdam
Affiliation as printed
IMAPP, Radboud University, Nijmegen, Heyendaalseweg 135, 6525AJ, The Netherlands
Korteweg–de Vries Institute for Mathematics, University of Amsterdam, Amsterdam, Science Park 107, 1098XH, The Netherlands
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Affiliation as printed
Korteweg–de Vries Institute for Mathematics, University of Amsterdam, Amsterdam, Science Park 107, 1098XH, The Netherlands
Rabobank, Utrecht, Croeselaan 18, 3521CB, The Netherlands
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