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On Global Stability of Financial Networks

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  • Bhaskar DasGupta
  • Lakshmi Kaligounder

Abstract

The recent financial crisis have generated renewed interests in fragilities of global financial networks among economists and regulatory authorities. In particular, a potential vulnerability of the financial networks is the "financial contagion" 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 financial network model originally proposed by Nier et al. 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. An interactive software FIN-STAB for computing the stability is available from the website www2.cs.uic.edu/~dasgupta/financial-simulator-files

Suggested Citation

  • Bhaskar DasGupta & Lakshmi Kaligounder, 2012. "On Global Stability of Financial Networks," Papers 1208.3789, arXiv.org, revised Aug 2014.
    • Handle: RePEc:arx:papers:1208.3789
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    References listed on IDEAS

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    Cited by:

    1. Alexei Kireyev & Andrei Leonidov, 2018. "Network Effects of International Shocks and Spillovers," Networks and Spatial Economics, Springer, vol. 18(4), pages 805-836, December.
    2. Daniel Felix Ahelegbey & Monica Billio & Roberto Casarin, 2020. "Modeling Turning Points In Global Equity Market," DEM Working Papers Series 195, University of Pavia, Department of Economics and Management.
    3. Christos Ellinas & Neil Allan & Caroline Coombe, 2018. "Evaluating the role of risk networks on risk identification, classification and emergence," Papers 1801.05759, arXiv.org.
    4. Ahelegbey, Daniel Felix, 2015. "The Econometrics of Bayesian Graphical Models: A Review With Financial Application," MPRA Paper 92634, University Library of Munich, Germany, revised 25 Apr 2016.
    5. Li, Fei & Kang, Hao & Xu, Jingfeng, 2022. "Financial stability and network complexity: A random matrix approach," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 177-185.
    6. Daniel Felix Ahelegbey, 2015. "The Econometrics of Networks: A Review," Working Papers 2015:13, Department of Economics, University of Venice "Ca' Foscari".
    7. Daniel Felix Ahelegbey & Monica Billio & Roberto Casarin, 2016. "Sparse Graphical Vector Autoregression: A Bayesian Approach," Annals of Economics and Statistics, GENES, issue 123-124, pages 333-361.

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