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Measuring contagion potential among sovereigns and banks using a mixed-cross-section GVAR

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  • Gross, Marco
  • Kok, Christoffer
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    Abstract

    This paper aims to illustrate how a Mixed-Cross-Section Global Vector Autoregressive (MCS-GVAR) model can be set up and solved for the purpose of forecasting and scenario simulation. The application involves two cross-sections: sovereigns and banks for which we model their credit default swap spreads. Our MCS-GVAR comprises 23 sovereigns and 41 international banks from Europe, the US and Japan. The model is used to conduct systematic shock simulations and thereby compute a measure of spill-over potential for within and across the group of sovereigns and banks. The results point to a number of salient facts: i) Spill-over potential in the CDS market was particularly pronounced in 2008 and more recently in 2011-12; ii) while in 2008 contagion primarily went from banks to sovereigns, the direction reversed in 2011-12 in the course of the sovereign debt crisis; iii) the index of spill-over potential suggests that the system of banks and sovereigns has become more densely connected over time. Should large shocks of size similar to those experienced in the early phase of the crisis hit the system in 2011/2012, considerably more pronounced and more synchronized adverse responses across banks and sovereigns would have to be expected. JEL Classification: C33, C53, C61, E17

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    Bibliographic Info

    Paper provided by European Central Bank in its series Working Paper Series with number 1570.

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    Date of creation: Aug 2013
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    Handle: RePEc:ecb:ecbwps:20131570

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    Related research

    Keywords: Contagion; forecasting and simulation; Global macroeconometric modeling; macro-financial linkages; models with panel data; network analysis; spill-overs;

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    References

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    1. Stephane Dees & Filippo di Mauro & M. Hashem Pesaran & L. Vanessa Smith, 2006. "Exploring the International Linkages of the Euro Area: a Global VAR Analysis," Computing in Economics and Finance 2006 47, Society for Computational Economics.
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    14. Lelyveld, Iman van & Liedorp, Franka, 2006. "Interbank Contagion in the Dutch Banking Sector: A Sensitivity Analysis," MPRA Paper 806, University Library of Munich, Germany.
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    Cited by:
    1. Beirne, John & Fratzscher, Marcel, 2013. "The pricing of sovereign risk and contagion during the European sovereign debt crisis," Journal of International Money and Finance, Elsevier, vol. 34(C), pages 60-82.

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