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Systemic Risk in Europe

Listed author(s):
  • Robert F. Engle

    (New York University, New York University (NYU), and National Bureau of Economic Research (NBER))

  • Eric Jondeau

    (University of Lausanne and Swiss Finance Institute)

  • Michael Rockinger

    (University of Lausanne, Centre for Economic Policy Research (CEPR), and Swiss Finance Institute)

Systemic risk may be defined as the propensity of a financial institution to be undercapitalized when the financial system as a whole is undercapitalized. In this paper, we investigate the case of non-U.S. institutions, with several factors explaining the dynamics of financial firms returns and with asynchronicity of time zones. We apply this methodology to the 196 largest European financial firms and estimate their systemic risk over the 2000-2012 period. We find that, for certain countries, the cost for the taxpayer to rescue the riskiest domestic banks is so high that some banks might be considered too big to be saved.

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File URL: http://ssrn.com/abstract=2192536
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Paper provided by Swiss Finance Institute in its series Swiss Finance Institute Research Paper Series with number 12-45.

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Length: 55 pages
Date of creation:
Handle: RePEc:chf:rpseri:rp1245
Contact details of provider: Web page: http://www.SwissFinanceInstitute.ch

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  1. Robert F. Engle & Kevin Sheppard, 2001. "Theoretical and Empirical properties of Dynamic Conditional Correlation Multivariate GARCH," NBER Working Papers 8554, National Bureau of Economic Research, Inc.
  2. Kaminsky, Graciela L. & Reinhart, Carmen M., 2002. "Financial markets in times of stress," Journal of Development Economics, Elsevier, vol. 69(2), pages 451-470, December.
  3. Gianni De Nicolò & Marcella Lucchetta, 2011. "Systemic Risks and the Macroeconomy," NBER Chapters,in: Quantifying Systemic Risk, pages 113-148 National Bureau of Economic Research, Inc.
  4. Nikolaus Hautsch & Julia Schaumburg & Melanie Schienle, 2015. "Financial Network Systemic Risk Contributions," Review of Finance, European Finance Association, vol. 19(2), pages 685-738.
  5. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
  6. Billio, Monica & Getmansky, Mila & Lo, Andrew W. & Pelizzon, Loriana, 2012. "Econometric measures of connectedness and systemic risk in the finance and insurance sectors," Journal of Financial Economics, Elsevier, vol. 104(3), pages 535-559.
  7. Jondeau, Eric & Rockinger, Michael, 2003. "Conditional volatility, skewness, and kurtosis: existence, persistence, and comovements," Journal of Economic Dynamics and Control, Elsevier, vol. 27(10), pages 1699-1737, August.
  8. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. " On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
  9. Marcella Lucchetta & Gianni De Nicolo, 2012. "Systemic Real and Financial Risks; Measurement, Forecasting, and Stress Testing," IMF Working Papers 12/58, International Monetary Fund.
  10. Martens, Martin & Poon, Ser-Huang, 2001. "Returns synchronization and daily correlation dynamics between international stock markets," Journal of Banking & Finance, Elsevier, vol. 25(10), pages 1805-1827, October.
  11. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
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