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

Author

Listed:
  • Fernando Fernández-Rodríguez

    (Universidad de Las Palmas de Gran Canaria)

  • Simón Sosvilla-Rivero

    (Universidad Complutense de Madrid)

Abstract

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 Yõlmaz (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.

Suggested Citation

  • Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero, 2016. "Volatility transmission between stock and exchange-rate markets: A connectedness analysis," Department of Economics Working Papers 54/16, University of Bath, Department of Economics.
    • Handle: RePEc:eid:wpaper:58160
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    References listed on IDEAS

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    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
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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