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Ranking systemically important financial institutions

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  • Dungey, Mardi

    ()
    (School of Economics and Finance, University of Tasmania)

  • Luciani, Matteo

    ()
    (ECARES, Solvay Brussels School of Economics and Management, Université libre de Bruxelles)

  • Veredas, David

    ()
    (ECARES, Solvay Brussels School of Economics and Management, Université libre de Bruxelles)

Abstract

We propose a simple network–based methodology for ranking systemically important financial institutions. We view the risks of firms –including both the financial sector and the real economy– as a network with nodes representing the volatility shocks. The metric for the connections of the nodes is the correlation between these shocks. Daily dynamic centrality measures allow us to rank firms in terms of risk connectedness and firm characteristics. We present a general systemic risk index for the financial sector. Results from applying this approach to all firms in the S&P500 for 2003–2011 are twofold. First, Bank of America, JP Morgan and Wells Fargo are consistently in the top 10 throughout the sample. Citigroup and Lehman Brothers also were consistently in the top 10 up to late 2008. At the end of the sample, insurance firms emerge as systemic. Second, the systemic risk in the financial sector built–up from early 2005, peaked in September 2008, and greatly reduced after the introduction of TARP and the rescue of AIG. Anxiety about European debt markets saw the systemic risk begin to rise again from April 2010. We further decompose these results to find that the systemic risk of insurance and deposit– taking institutions differs importantly, the latter experienced a decline from late 2007, in line with the burst of the housing price bubble, while the former continued to climb up to the rescue of AIG.

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File URL: http://eprints.utas.edu.au/15473/1/2012-08__DP_Dungey_Luciani_Veredes.pdf
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Bibliographic Info

Paper provided by University of Tasmania, School of Economics and Finance in its series Working Papers with number 15473.

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Length: 33 pages
Date of creation: 21 Nov 2012
Date of revision: 21 Nov 2012
Publication status: Published by the University of Tasmania. Discussion paper 2012-08
Handle: RePEc:tas:wpaper:15473

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Postal: Private Bag 85, Hobart, Tasmania 7001
Phone: +61 3 6226 7672
Fax: +61 3 6226 7587
Web page: http://www.utas.edu.au/economics-finance/
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Keywords: Systemic risk; ranking; financial institutions; Lehman;

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References

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  1. Viral Acharya & Robert Engle & Matthew Richardson, 2012. "Capital Shortfall: A New Approach to Ranking and Regulating Systemic Risks," American Economic Review, American Economic Association, vol. 102(3), pages 59-64, May.
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  15. Mardi Dungey & Matteo Luciani & David Veredas, 2012. "Ranking Systemically Important Financial Institutions," CAMA Working Papers 2012-47, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
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  18. Mardi Dungey & Gerald P. Dwyer & Thomas Flavin, 2011. "Systematic and Liquidity Risk in Subprime-Mortgage Backed Securities," CAMA Working Papers 2011-30, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
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Citations

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Cited by:
  1. Aldasoro, Iñaki & Angeloni, Ignazio, 2013. "Input-output-based measures of systemic importance," SAFE Working Paper Series 29, Research Center SAFE - Sustainable Architecture for Finance in Europe, Goethe University Frankfurt.
  2. Mardi Dungey & Matteo Luciani & David Veredas, 2012. "Ranking Systemically Important Financial Institutions," Tinbergen Institute Discussion Papers 12-115/IV/DSF44, Tinbergen Institute.
  3. Matteo Barigozzi & Christian T. Brownlees, 2013. "Nets: Network estimation for time series," Economics Working Papers 1391, Department of Economics and Business, Universitat Pompeu Fabra.
  4. Masciantonio, Sergio, 2013. "Identifying, ranking and tracking systemically important financial institutions (SIFIs), from a global, EU and Eurozone perspective," MPRA Paper 46788, University Library of Munich, Germany.
  5. Alexeev, Vitali & Dungey, Mardi, 2013. "Equity portfolio diversification with high frequency data," Working Papers 2013-18, University of Tasmania, School of Economics and Finance, revised 01 Nov 2013.

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