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Distress and default contagion in financial networks

Luitgard A. M. Veraart

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

Abstract: We develop a new model for solvency contagion that can be used to quantify systemic risk in stress tests of financial networks. In contrast to many existing models it allows for the spread of contagion already before the point of default and hence can account for contagion due to distress and mark-to-market losses. We derive general ordering results for outcome measures of stress tests that enable us to compare different contagion mechanisms. We use these results to study the sensitivity of the new contagion mechanism with respect to its model parameters and to compare it to existing models in the literature. When applying the new model to data from the European Banking Authority we find that the risk from distress contagion is strongly dependent on the anticipated recovery rate. For low recovery rates the high additional losses caused by bankruptcy dominate the overall stress test results. For high recovery rates, however, we observe a strong sensitivity of the stress test outcomes with respect to the model parameters determining the magnitude of distress contagion.

Keywords: systemic risk; contagion; financial networks; stress testing; mark-to-market losses (search for similar items in EconPapers)
JEL-codes: C62 D85 G21 G28 G33 (search for similar items in EconPapers)
Pages: 33 pages
Date: 2020-07-01
New Economics Papers: this item is included in nep-cfn, nep-net, nep-ore and nep-rmg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Published in Mathematical Finance, 1, July, 2020, 30(3), pp. 705 - 737. ISSN: 0960-1627

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