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

Author

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  • 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.)

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 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.

Suggested Citation

  • Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero, 2016. "Volatility transmission between stock and exchange-rate markets: A connectedness analysis," Working Papers del Instituto Complutense de Estudios Internacionales 1604, Universidad Complutense de Madrid, Instituto Complutense de Estudios Internacionales.
  • Handle: RePEc:ucm:wpaper:1604
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    Cited by:

    1. Ruipeng Liu & Riza Demirer & Rangan Gupta & Mark E. Wohar, 2017. "Do Bivariate Multifractal Models Improve Volatility Forecasting in Financial Time Series? An Application to Foreign Exchange and Stock Markets," Working Papers 201728, University of Pretoria, Department of Economics.

    More about this item

    Keywords

    Stock markets; Exchange rates; Market Linkages; Vector Autoregression; Variance Decomposition.;

    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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