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European Government Bond Dynamics and Stability Policies: Taming Contagion Risks

Author

Listed:
  • Peter Schwendner

    (Zurich University of Applied Sciences)

  • Martin Schuele

    (Zurich University of Applied Sciences)

  • Thomas Ott

    (Zurich University of Applied Sciences)

  • Martin Hillebrand

    (ESM)

Abstract

From 2004 to 2015, the market perception of the sovereign risks of the euro area government bonds experienced several different phases, reflected in a clear time structure of the correlation matrix between the yield changes. “Core” and “peripheral” bonds cluster in a bloc-like structure, but the correlations between the blocs are time-dependent and even become negative in periods of stress. Using noise-filtered partial correlation influences, this time dependency can be evaluated and visualized using network graphs. Our results support the view that market-implied spillover risks have decreased since the European rescue and stability mechanisms came into force in 2011. EFSF bond issues have been trading as part of the “core” bloc since 2011. In 2015, spillover risks reappeared during the Eurogroup’s negotiations with Greece, although the periphery yields did not show risk spreads that were as large as those in 2012.

Suggested Citation

  • 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.
    • Handle: RePEc:stm:wpaper:8
    as

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    References listed on IDEAS

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    Cited by:

    1. Richhild Moessner, 2018. "Effects of asset purchases and financial stability measures on term premia in the euro area," Applied Economics, Taylor & Francis Journals, vol. 50(43), pages 4617-4631, September.
    2. 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.
    3. Pang, Raymond Ka-Kay & Granados, Oscar M. & Chhajer, Harsh & Legara, Erika Fille T., 2021. "An analysis of network filtering methods to sovereign bond yields during COVID-19," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    4. Ehrmann, Michael & Fratzscher, Marcel, 2017. "Euro area government bonds – Fragmentation and contagion during the sovereign debt crisis," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 26-44.
    5. Susanna Saroyan & Lilit Popoyan, 2017. "Bank-sovereign ties against interbank market integration: the case of the Italian segment," LEM Papers Series 2017/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Hamill, Philip A. & Li, Youwei & Pantelous, Athanasios A. & Vigne, Samuel A. & Waterworth, James, 2021. "Was a deterioration in ‘connectedness’ a leading indicator of the European sovereign debt crisis?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    7. Ehsan Bagheri & Seyed Babak Ebrahimi & Arman Mohammadi & Mahsa Miri & Stelios Bekiros, 2022. "The Dynamic Volatility Connectedness Structure of Energy Futures and Global Financial Markets: Evidence From a Novel Time–Frequency Domain Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1087-1111, March.
    8. António Afonso & Frederico Silva Leal, 2017. "Sovereign yield spreads in the EMU: crisis and structural determinants," Working Papers Department of Economics 2017/09, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    9. Rutger-Jan Lange & Andre Lucas & Arjen H. Siegmann, 2016. "Score-Driven Systemic Risk Signaling for European Sovereign Bond Yields and CDS Spreads," Tinbergen Institute Discussion Papers 16-064/IV, Tinbergen Institute.

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    More about this item

    Keywords

    Contagion risk; correlation networks; euro area; sovereign bonds; European Stability Mechanism; financial stability;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • G01 - Financial Economics - - General - - - Financial Crises
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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