Mapping systemic risk: critical degree and failures distribution in financial networks

Matteo Smerlak, Brady Stoll, Agam Gupta and James Magdanz

Papers from arXiv.org

Abstract: The 2008 financial crisis illustrated the need for a thorough, functional understanding of systemic risk in strongly interconnected financial structures. Dynamic processes on complex networks being intrinsically difficult, most recent studies of this problem have relied on numerical simulations. Here we report analytical results in a network model of interbank lending based on directly relevant financial parameters, such as interest rates and leverage ratios. Using a mean-field approach, we obtain a closed-form formula for the "critical degree", viz. the number of creditors per bank below which an individual shock can propagate throughout the network. We relate the failures distribution (probability that a single shock induces $F$ failures) to the degree distribution (probability that a bank has $k$ creditors), showing in particular that the former is fat-tailed whenever the latter is. Our criterion for the onset of contagion turns out to be isomorphic to the condition for cooperation to evolve on graphs and social networks, as recently formulated in evolutionary game theory. This remarkable connection supports recent calls for a methodological rapprochement between finance and ecology.

Date: 2014-02, Revised 2014-03
New Economics Papers: this item is included in nep-ban, nep-cba, nep-net and nep-rmg
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Citations: View citations in EconPapers (3)

Published in PLoS ONE 10(7): e0130948 (2015)

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Journal Article: Mapping Systemic Risk: Critical Degree and Failures Distribution in Financial Networks (2015)
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1402.4783

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