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“Financial stress transmission in EMU sovereign bond market volatility: a connectedness analysis”

Author

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  • Fernando Fernández-Rodríguez

    () (Department of Quantitative Methods in Economics, Universidad de Las Palmas de Gran Canaria)

  • Marta Gómez-Puig

    () (Faculty of Economics, University of Barcelona)

  • Simón Sosvilla-Rivero

    () (Complutense Institute of International Studies, Universidad Complutense de Madrid)

Abstract

This paper measures the connectedness in EMU sovereign market volatility between April 1999 and January 2014, in order to monitor stress transmission and to identify episodes of intensive spillovers from one country to the others. To this end, we first perform a static and dynamic analysis to measure the total volatility connectedness in the entire period (the system-wide approach) using a framework recently proposed by Diebold and Yilmaz (2014). Second, we make use of a dynamic analysis to evaluate the net directional connectedness for each country and apply panel model techniques to investigate its determinants. Finally, to gain further insights, we examine the time-varying behaviour of net pair-wise directional connectedness at different stages of the recent sovereign debt crisis.

Suggested Citation

  • Fernando Fernández-Rodríguez & Marta Gómez-Puig & Simón Sosvilla-Rivero, 2015. "“Financial stress transmission in EMU sovereign bond market volatility: a connectedness analysis”," IREA Working Papers 201510, University of Barcelona, Research Institute of Applied Economics, revised Feb 2015.
  • Handle: RePEc:ira:wpaper:201510
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    References listed on IDEAS

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    Cited by:

    1. Aviral Kumar Tiwari & Juncal Cunado & Rangan Gupta & Mark E. Wohar, 2017. "Volatility Spillovers across Global Asset Classes: Evidence from Time and Frequency Domains," Working Papers 201780, University of Pretoria, Department of Economics.

    More about this item

    Keywords

    Sovereign debt crisis; Euro area; Market Linkages; Vector Autoregression; Variance Decomposition. JEL classification:C53; E44; F36; G15;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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