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Volatility transmission between stock and exchange-rate markets: A connectedness analysis

Listed author(s):
  • Fernando Fernández-Rodríguez

    ()

    (Department of Quantitative Methods in Economics, Universidad de Las Palmas de Gran Canaria. Instituto Complutense de Estudios Internacionales (ICEI). Universidad Complutense de Madrid.)

  • Simón Sosvilla-Rivero

    ()

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

This paper empirically investigates volatility transmission among stock and foreign exchange markets in seven major world economies during the period July 1988 to January 2015. 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 market. To gain further insights, we examine the time-varying behaviour of net pair-wise directional connectedness during the financial turmoil periods experienced in the sample period Our results suggest that slightly more than half of the total variance of the forecast errors is explained by shocks across markets rather than by idiosyncratic shocks. Furthermore, we find that volatility connectedness varies over time, with a surge during periods of increasing economic and financial instability.

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File URL: http://eprints.ucm.es/40762/1/WP04-16.pdf
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Paper provided by Universidad Complutense de Madrid, Instituto Complutense de Estudios Internacionales in its series Working Papers del Instituto Complutense de Estudios Internacionales with number 1604.

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Length: 30 pages
Date of creation: 2016
Handle: RePEc:ucm:wpaper:1604
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