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On the network topology of variance decompositions: Measuring the connectedness of financial firms

  • Francis X. Diebold
  • Kamil Yilmaz

The authors propose several connectedness measures built from pieces of variance decompositions, and they argue that they provide natural and insightful measures of connectedness among financial asset returns and volatilities. The authors also show that variance decompositions define weighted, directed networks, so that their connectedness measures are intimately-related to key measures of connectedness used in the network literature. Building on these insights, the authors 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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Paper provided by Federal Reserve Bank of Philadelphia in its series Working Papers with number 11-45.

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Date of creation: 2011
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Handle: RePEc:fip:fedpwp:11-45
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  1. Francis X. Diebold & Kamil Yilmaz, 2007. "Measuring Financial Asset Return and Volatility Spillovers, With Application to Global Equity Markets," PIER Working Paper Archive 07-002, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
  2. Dufour, Jean-Marie & Taamouti, Abderrahim, 2010. "Short and long run causality measures: Theory and inference," Journal of Econometrics, Elsevier, vol. 154(1), pages 42-58, January.
  3. Bech, Morten L. & Atalay, Enghin, 2010. "The topology of the federal funds market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(22), pages 5223-5246.
  4. White,Halbert, 1994. "Estimation, Inference and Specification Analysis," Cambridge Books, Cambridge University Press, number 9780521252805, 1.
  5. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
  6. Easley,David & Kleinberg,Jon, 2010. "Networks, Crowds, and Markets," Cambridge Books, Cambridge University Press, number 9780521195331, 1.
  7. Allen, Franklin & Babus, Ana & Carletti, Elena, 2013. "Asset Commonality, Debt Maturity and Systemic Risk," Working Papers 10-30, University of Pennsylvania, Wharton School, Weiss Center.
  8. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2003. "Modeling and Forecasting Realized Volatility," Econometrica, Econometric Society, vol. 71(2), pages 579-625, March.
  9. Pesaran, M. H. & Shin, Y., 1997. "Generalised Impulse Response Analysis in Linear Multivariate Models," Cambridge Working Papers in Economics 9710, Faculty of Economics, University of Cambridge.
  10. Dufour, J.M. & Renault, E., 1995. "Short-Run and Long-Rub Causality in Time Series: Theory," Cahiers de recherche 9538, Universite de Montreal, Departement de sciences economiques.
  11. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2013. "Financial Risk Measurement for Financial Risk Management," Handbook of the Economics of Finance, Elsevier.
  12. 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".
  13. Nikolaus Hautsch & Julia Schaumburg & Melanie Schienle, 2012. "Financial Network Systemic Risk Contributions," SFB 649 Discussion Papers SFB649DP2012-053, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  14. Franklin Allen & Ana Babus & Elena Carletti, 2010. "Financial Connections and Systemic Risk," NBER Chapters, in: Market Institutions and Financial Market Risk National Bureau of Economic Research, Inc.
  15. repec:taf:jnlbes:v:30:y:2012:i:2:p:212-228 is not listed on IDEAS
  16. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2010. "Cascades in Networks and Aggregate Volatility," NBER Working Papers 16516, National Bureau of Economic Research, Inc.
  17. Marcella Lucchetta & Gianni De Nicoló, 2012. "Systemic Real and Financial Risks: Measurement, Forecasting, and Stress Testing," IMF Working Papers 12/58, International Monetary Fund.
  18. repec:fip:fedhpr:y:2010:i:may:p:65-71 is not listed on IDEAS
  19. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
  20. Peter R. Hansen & Asger Lunde, 2010. "Estimating the Persistence and the Autocorrelation Function of a Time Series that is Measured with Error," CREATES Research Papers 2010-08, School of Economics and Management, University of Aarhus.
  21. Viral V. Acharya, 2010. "Measuring systemic risk," Proceedings 1140, Federal Reserve Bank of Chicago.
  22. 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.
  23. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
  24. N. Lesca, 2010. "Introduction," Post-Print halshs-00640602, HAL.
  25. Wolfgang Karl Härdle & Ostap Okhrin & Yarema Okhrin, 2010. "Time varying Hierarchical Archimedean Copulae," SFB 649 Discussion Papers SFB649DP2010-018, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  26. Granger Clive W.J., 2008. "Non-Linear Models: Where Do We Go Next - Time Varying Parameter Models?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(3), pages 1-11, September.
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