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Distress and default contagion in financial networks

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  • Luitgard Anna Maria Veraart

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.

Suggested Citation

  • Luitgard Anna Maria Veraart, 2020. "Distress and default contagion in financial networks," Mathematical Finance, Wiley Blackwell, vol. 30(3), pages 705-737, July.
    • Handle: RePEc:bla:mathfi:v:30:y:2020:i:3:p:705-737
    DOI: 10.1111/mafi.12247
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