Inhomogeneous Financial Networks and Contagious Links

28 Pages Posted: 7 Nov 2014

See all articles by Hamed Amini

Hamed Amini

J. Mack Robinson College of Business

Andreea Minca

Cornell University

Date Written: October 31, 2014

Abstract

We propose a framework for testing the possibility of large cascades in financial networks. This framework accommodates a variety of specifications for the probabilities of emergence of 'contagious links', where a contagious link leads to the default of a bank following the default of its counterparty. These are the first order contagion probabilities and depend on the shock propagation mechanism under consideration. When the cascade represents an insolvency cascade, and under complete observation of balance sheets, the first order contagion probabilities follow from the distribution of recovery rates.

Under general contagion mechanisms and incomplete information, the financial network is modeled as an inhomogenous random graph in which only some of the banks' characteristics are observable. We give bounds on the size of the first order contagion and testable conditions for it to be small. For power-law financial networks, we also give a condition so that the higher order cascade dies out.

Keywords: Systemic risk, Default contagion, Financial stability, Contagious links, Phase transitions, Complex networks, Inhomogeneous random graphs.

Suggested Citation

Amini, Hamed and Minca, Andreea, Inhomogeneous Financial Networks and Contagious Links (October 31, 2014). Available at SSRN: https://ssrn.com/abstract=2518840 or http://dx.doi.org/10.2139/ssrn.2518840

Hamed Amini (Contact Author)

J. Mack Robinson College of Business ( email )

Georgia State University
35 Broad Street
Atlanta, GA 30303
United States

Andreea Minca

Cornell University ( email )

222 Rhodes Hall
Ithaca, NY NY 14853
United States

HOME PAGE: http://people.orie.cornell.edu/acm299/

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