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• W1731569230 startingPage "e0130948" @default.
• W1731569230 abstract "The financial crisis illustrated the need for a functional understanding of systemic risk in strongly interconnected financial structures. Dynamic processes on complex networks being intrinsically difficult to model analytically, 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. We obtain a closed-form formula for the “critical degree” (the number of creditors per bank below which an individual shock can propagate throughout the network), and relate failures distributions to network topologies, in particular scalefree ones. 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." @default.
• W1731569230 created "2016-06-24" @default.
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• W1731569230 date "2015-07-24" @default.
• W1731569230 modified "2023-10-16" @default.
• W1731569230 title "Mapping Systemic Risk: Critical Degree and Failures Distribution in Financial Networks" @default.
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• W1731569230 doi "https://doi.org/10.1371/journal.pone.0130948" @default.
• W1731569230 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4514837" @default.
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