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On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms

  • Francis X. Diebold

    ()

    (Department of Economics, University of Pennsylvania)

  • Kamil Yılmaz

    ()

    (Department of Economics, Koç University)

We propose several connectedness measures built from pieces of variance decompositions, and we argue that they provide natural and insightful measures of connectedness among financial asset returns and volatilities. We also show that variance decompositions define weighted, directed networks, so that our connectedness measures are intimately-related to key measures of connectedness used in the network literature. Building on these insights, we track both average and daily time-varying connectedness of major U.S. financial institutions' stock return volatilities in recent years, including during the financial crisis of 2007-2008.

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File URL: http://economics.sas.upenn.edu/system/files/11-031.pdf
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Paper provided by Penn Institute for Economic Research, Department of Economics, University of Pennsylvania in its series PIER Working Paper Archive with number 11-031.

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Length: 36 pages
Date of creation: 30 Sep 2011
Date of revision:
Handle: RePEc:pen:papers:11-031
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  1. Allen, Franklin & Babus, Ana & Carletti, Elena, 2012. "Asset commonality, debt maturity and systemic risk," Journal of Financial Economics, Elsevier, vol. 104(3), pages 519-534.
  2. Monica Billio & Mila Getmansky & Andrew W. Lo & Loriana Pelizzon, 2011. "Econometric Measures of Connectedness and Systemic Risk in the Finance and Insurance Sectors," Working Papers 2011_21, Department of Economics, University of Venice "Ca' Foscari".
  3. Diebold, Francis X. & Yilmaz, Kamil, 2008. "Measuring financial asset return and volatilty spillovers, with application to global equity markets," CFS Working Paper Series 2008/26, Center for Financial Studies (CFS).
  4. Franklin Allen & Ana Babus & Elena Carletti, 2010. "Financial Connections and Systemic Risk," NBER Working Papers 16177, National Bureau of Economic Research, Inc.
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  7. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2001. "Modeling and Forecasting Realized Volatility," Center for Financial Institutions Working Papers 01-01, Wharton School Center for Financial Institutions, University of Pennsylvania.
  8. Acharya, Viral V & Pedersen, Lasse H & Philippon, Thomas & Richardson, Matthew P, 2012. "Measuring Systemic Risk," CEPR Discussion Papers 8824, C.E.P.R. Discussion Papers.
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