Contagion in Financial Networks: Measure, Evaluation and Implications
Year: 2013
Type: preprint
Abstract: The recent crisis have generated renewed interests in fragilities of global networks among economists and regulatory authorities. In particular, a potential vulnerability of the networks is the financial contag ion process in which insolvencies of individual entities propagate through the web of dependencies to affect the entire system. In this paper, we formalize an extension of a network model originally proposed by Nier et al. (35) for scenarios such as the OTC derivatives market, define a suitable global stability measure for this model, and perform a comprehensive empirical evaluation of this stability measure over more than 700,000 combinations of networks types and parameter combinations. Based on our evaluations, we discover many interesting implications of our evaluations of this stability measure, and derive topological properties and parameters combinations that may be used to flag the network as a possible fragile network.
Source: arXiv (Cornell University)
Authors: Bhaskar DasGupta, Lakshmi Kaligounder
Institution: University of Illinois Chicago
Language: English
Subfield: Finance
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2556772041