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Volatility spillovers between foreing-exchange and stock markets

Author

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  • Amalia Morales-Zumaquero

    (Department of Economic Theory and History, Universidad de Málaga. Instituto Complutense de Estudios Internacionales (ICEI). Universidad Complutense de Madrid.)

  • Simón Sosvilla-Rivero

    (Instituto Complutense de Estudios Internacionales (ICEI). Universidad Complutense de Madrid.)

Abstract

This paper empirically analyses the evidence of intra-spillovers and inter-spillovers between foreign exchange and stock markets in the seven economies which concentrate the majority of foreign exchange transactions (i.e. United Kingdom, Euro area, Australia, Swiss, Canada, United Kingdom and Japan), using daily data, during the period 1990 to 2015 and during the pre-global and post-global financial crisis periods. To that end, we employ two econometric methodologies: the C-GARCH methodology by Engle and Lee (1999) and the SVAR framework (Sohel Azad et al., 2015). Results suggest that: (i) permanent and transitory components of the conditional variance exhibit several well-known peaks in volatilities; (ii) the long-run volatility relationships are stronger than the short-run linkages volatility with a reinforcement during the post-global financial crisis period; (iii) the presence of intra-spillovers and inter-spillovers increases substantially during the post-global financial crisis period and (iv) in all samples, the stock markets play a dominant role in the transmission of long-run and short-run volatility, except for in the period after the Global Financial Crisis, where the foreign-exchange markets are the main long-run volatility triggers.

Suggested Citation

  • Amalia Morales-Zumaquero & Simón Sosvilla-Rivero, 2017. "Volatility spillovers between foreing-exchange and stock markets," Working Papers del Instituto Complutense de Estudios Internacionales 1702, Universidad Complutense de Madrid, Instituto Complutense de Estudios Internacionales.
  • Handle: RePEc:ucm:wpaper:1702
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    Keywords

    Stock markets; Exchange rates; Market spillovers; Component-GARCH model; Longterm volatility; Short-term volatility;
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