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Eurozone network connectedness during calm and crisis: evidence from the MTS platform for interdealer trading of European sovereign debt

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Listed:
  • Li, Youwei
  • Waterworth, James

Abstract

This paper examines the connectedness of the Eurozone sovereign debt market over the period 2005–2011. By employing measures built from the variance decompositions of approximating models we are able to define weighted, directed networks that enable a deeper understanding of the relationships between the Eurozone countries. We find that connectedness in the Eurozone was very high during the calm market conditions preceding the global financial crisis but decreased dramatically when the crisis took hold, and worsened as the Eurozone sovereign debt crisis emerged. The drop in connectedness was especially prevalent in the case of the peripheral countries with some of the most peripheral countries deteriorating into isolation. Our results have implications for both market participants and regulators.

Suggested Citation

  • Li, Youwei & Waterworth, James, 2016. "Eurozone network connectedness during calm and crisis: evidence from the MTS platform for interdealer trading of European sovereign debt," MPRA Paper 71221, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:71221
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    References listed on IDEAS

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    1. De Santis, Roberto A., 2012. "The Euro area sovereign debt crisis: safe haven, credit rating agencies and the spread of the fever from Greece, Ireland and Portugal," Working Paper Series 1419, European Central Bank.
    2. Peter Schwendner & Martin Schuele & Thomas Ott & Martin Hillebrand, 2015. "European Government Bond Dynamics and Stability Policies: Taming Contagion Risks," Working Papers 8, European Stability Mechanism.
    3. repec:taf:jnlbes:v:30:y:2012:i:2:p:212-228 is not listed on IDEAS
    4. Geweke, John & Koop, Gary & van Dijk, Herman (ed.), 2011. "The Oxford Handbook of Bayesian Econometrics," OUP Catalogue, Oxford University Press, number 9780199559084.
    5. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    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. 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.
    8. Viral Acharya & Robert Engle & Matthew Richardson, 2012. "Capital Shortfall: A New Approach to Ranking and Regulating Systemic Risks," American Economic Review, American Economic Association, vol. 102(3), pages 59-64, May.
    9. 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.
    10. Beetsma, Roel & de Jong, Frank & Giuliodori, Massimo & Widijanto, Daniel, 2012. "Spread the News: How the Crisis Affected the Impact of News on the European Sovereign Bond Markets," CEPR Discussion Papers 9043, C.E.P.R. Discussion Papers.
    11. Robert N McCauley, 1999. "The Euro and the Liquidity of European Fixed Income Markets," CGFS Papers chapters, in: Bank for International Settlements (ed.), Market Liquidity: Research Findings and Selected Policy Implications, volume 11, pages 1-26, Bank for International Settlements.
    12. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    13. Lorenzo Codogno & Carlo Favero & Alessandro Missale, 2003. "Yield spreads on EMU government bonds [‘Fiscal policy events and interest rate swap spreads: some evidence from the EU’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 18(37), pages 503-532.
    14. 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.
    15. 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.
    16. Bank for International Settlements, 1999. "Market Liquidity: Research Findings and Selected Policy Implications," CGFS Papers, Bank for International Settlements, number 11.
    17. Salvador Barrios & Per Iversen & Magdalena Lewandowska & Ralph Setzer, 2009. "Determinants of intra-euro area government bond spreads during the financial crisis," European Economy - Economic Papers 2008 - 2015 388, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
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    Keywords

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    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • H63 - Public Economics - - National Budget, Deficit, and Debt - - - Debt; Debt Management; Sovereign Debt

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