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

Francis Diebold and Kamil Yilmaz ()

PIER Working Paper Archive from Penn Institute for Economic Research, Department of Economics, University of Pennsylvania

Abstract: 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.

Keywords: Risk measurement; risk management; portfolio allocation; market risk; credit risk; systemic risk; asset markets; degree distribution (search for similar items in EconPapers)
JEL-codes: C3 G2 (search for similar items in EconPapers)
Pages: 36 pages
Date: 2011-09-30
New Economics Papers: this item is included in nep-ban and nep-rmg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (74)

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Related works:
Journal Article: On the network topology of variance decompositions: Measuring the connectedness of financial firms (2014)
Working Paper: On the network topology of variance decompositions: Measuring the connectedness of financial firms (2011)
Working Paper: On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms (2011)
Working Paper: On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms (2011)
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Persistent link: https://EconPapers.repec.org/RePEc:pen:papers:11-031

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