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On the Computational Complexity of Measuring Global Stability of Banking Networks

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  • Piotr Berman
  • Bhaskar DasGupta
  • Lakshmi Kaligounder
  • Marek Karpinski

Abstract

Threats on the stability of a financial system may severely affect the functioning of the entire economy, and thus considerable emphasis is placed on the analyzing the cause and effect of such threats. The financial crisis in the current and past decade has shown that one important cause of instability in global markets is the so-called financial contagion, namely the spreading of instabilities or failures of individual components of the network to other, perhaps healthier, components. This leads to a natural question of whether the regulatory authorities could have predicted and perhaps mitigated the current economic crisis by effective computations of some stability measure of the banking networks. Motivated by such observations, we consider the problem of defining and evaluating stabilities of both homogeneous and heterogeneous banking networks against propagation of synchronous idiosyncratic shocks given to a subset of banks. We formalize the homogeneous banking network model of Nier et al. and its corresponding heterogeneous version, formalize the synchronous shock propagation procedures, define two appropriate stability measures and investigate the computational complexities of evaluating these measures for various network topologies and parameters of interest. Our results and proofs also shed some light on the properties of topologies and parameters of the network that may lead to higher or lower stabilities.

Suggested Citation

  • Piotr Berman & Bhaskar DasGupta & Lakshmi Kaligounder & Marek Karpinski, 2011. "On the Computational Complexity of Measuring Global Stability of Banking Networks," Papers 1110.3546, arXiv.org, revised Mar 2013.
  • Handle: RePEc:arx:papers:1110.3546
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    References listed on IDEAS

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    4. Basab Dasgupta, 2004. "Capital Accumulation in the Presence of Informal Credit Contracts: Does the Incentive Mechanism Work Better than Credit Rationing Under Asymmetric Information?," Working papers 2004-32, University of Connecticut, Department of Economics.
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    10. Yaron Leitner, 2005. "Financial Networks: Contagion, Commitment, and Private Sector Bailouts," Journal of Finance, American Finance Association, vol. 60(6), pages 2925-2953, December.
    11. Castiglionesi, F. & Navarro, N., 2007. "Optimal Fragile Financial Networks," Discussion Paper 2007-100, Tilburg University, Center for Economic Research.
    12. Douglas W. Diamond & Philip H. Dybvig, 2000. "Bank runs, deposit insurance, and liquidity," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Win, pages 14-23.
    13. Douglas M. Gale & Shachar Kariv, 2007. "Financial Networks," American Economic Review, American Economic Association, vol. 97(2), pages 99-103, May.
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