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Volatility in EMU sovereign bond yields: Permanent and transitory components

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  • Simón Sosvilla-Rivero

    (Departmento de Economía Cuantitativa, Facultad de Ciencias Económicas y Empresariales, Universidad Complutense de Madrid)

  • Amalia Morales-Zumaquero

    (Departamento de Teoría e Historia Económica, Facultad de Ciencias Económicas y Empresariales, Universidad de Málaga)

Abstract

This paper explores the evolving relationship in the volatility of sovereign yields in the European Economic and Monetary Union (EMU). To that end, we examine the behaviour for daily yields for 11 EMU countries (EMU-11), during the 2001-2010 period. In a first step, we decompose volatility in permanent and transitory components using Engel and Lee (1999)´s component-GARCH model. Results suggest that transitory shifts in debt market sentiment tend to be less important determinants of bond-yield volatility than shocks to the underlying fundamentals. In a second step, we develop a correlation and causality analysis that indicates the existence of two different groups of countries closed linked: core EMU countries and peripheral EMU countries. Finally, in a third step, we make a cluster analysis that further support our results regarding the existence of two different groups of countries, with different positions regarding the stability of public finance.

Suggested Citation

  • Simón Sosvilla-Rivero & Amalia Morales-Zumaquero, 2011. "Volatility in EMU sovereign bond yields: Permanent and transitory components," Working Papers 11-03, Asociación Española de Economía y Finanzas Internacionales.
  • Handle: RePEc:aee:wpaper:1103
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    Cited by:

    1. Marta Gómez-Puig & Simón Sosvilla-Rivero, 2011. "Causality and contagion in peripheral EMU public debt markets: A dynamic approach," Working Papers 11-06, Asociación Española de Economía y Finanzas Internacionales.
    2. Antonakakis, Nikolaos & Vergos, Konstantinos, 2013. "Sovereign bond yield spillovers in the Euro zone during the financial and debt crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 258-272.
    3. Frederik Neugebauer, 2020. "ECB Announcements and Stock Market Volatility," WHU Working Paper Series - Economics Group 20-02, WHU - Otto Beisheim School of Management.
    4. Marta Gómez-Puig & Simón Sosvilla-Rivero, 2015. "On the bi-directional causal relationship between public debt and economic growth in EMU countries," Working Papers 15-06, Asociación Española de Economía y Finanzas Internacionales.
    5. Neugebauer, Frederik, 2019. "ECB Announcements and Stock Market Volatility," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203554, Verein für Socialpolitik / German Economic Association.
    6. Victor Echevarria Icaza & Simón Sosvilla-Rivero, 2017. "Yields on sovereign debt, fragmentation and monetary policy transmission in the euro area: A GVAR approach," Working Papers 17-01, Asociación Española de Economía y Finanzas Internacionales.
    7. Bachar Fakhry & Christian Richter, 2018. "Does the Federal Constitutional Court Ruling Mean the German Financial Market is Efficient?," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 4(2), pages 111-125.
    8. Marta Gómez-Puig & Mary Pieterse-Bloem & Simón Sosvilla-Rivero, 2022. ""Dynamic connectedness between credit and liquidity risks in EMU sovereign debt markets"," IREA Working Papers 202217, University of Barcelona, Research Institute of Applied Economics, revised Oct 2022.
    9. Carlos Alberto Piscarreta Pinto Ferreira, 2022. "Revisiting The Determinants Of Sovereign Bond Yield Volatility," Working Papers REM 2022/0241, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    10. Chionis, Dionysios & Pragidis, Ioannis & Schizas, Panagiotis, 2014. "Long-term government bond yields and macroeconomic fundamentals: Evidence for Greece during the crisis-era," Finance Research Letters, Elsevier, vol. 11(3), pages 254-258.
    11. Ribeiro, Pedro Pires & Cermeño, Rodolfo & Curto, José Dias, 2017. "Sovereign bond markets and financial volatility dynamics: Panel-GARCH evidence for six euro area countries," Finance Research Letters, Elsevier, vol. 21(C), pages 107-114.
    12. Fernández-Rodríguez, Fernando & Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2015. "Volatility spillovers in EMU sovereign bond markets," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 337-352.
    13. Carlos Alberto Piscarreta Pinto Ferreira, 2022. "Investor Base Dynamics and Sovereign Bond Yield Volatility," Working Papers REM 2022/0234, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    14. Marta Gómez-Puig & Simón Sosvilla-Rivero, 2015. "“Short-run and long-run effects of public debt on economic performance: Evidence from EMU countries”," IREA Working Papers 201522, University of Barcelona, Research Institute of Applied Economics, revised Sep 2015.
    15. Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2017. "Heterogeneity in the debt-growth nexus: Evidence from EMU countries," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 470-486.
    16. Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2018. "Nonfinancial debt and economic growth in euro-area countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 17-37.
    17. Ryan van Lamoen & Simona Mattheussens & Martijn Dröes, 2017. "Quantitative easing and exuberance in government bond markets: Evidence from the ECB's expanded asset purchase program," DNB Working Papers 548, Netherlands Central Bank, Research Department.
    18. Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2015. "The causal relationship between debt and growth in EMU countries," Journal of Policy Modeling, Elsevier, vol. 37(6), pages 974-989.

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    More about this item

    Keywords

    Conditional variance; Component model; Cluster analysis; Sovereign bond yields; Economic and Monetary Union;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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