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

  • Francis X. Diebold
  • Kamil Yilmaz

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://www.nber.org/papers/w17490.pdf
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 17490.

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Date of creation: Oct 2011
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Publication status: published as Diebold, F.X. and Yilmaz, K. (2014), "On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms," Journal of Econometrics, 182, 119-134.
Handle: RePEc:nbr:nberwo:17490
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