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Volatility spillovers across European stock markets around the Brexit referendum

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  • Hong Li
  • Shamim Ahmed
  • Thanaset Chevapatrakul

Abstract

The vote of the people of the United Kingdom to leave the European Union following the referendum on June 23, 2016, created tremendous uncertainty in the financial markets. This paper documents the stock market interdependence across four major European markets around this rare and unique event. We uncover the characteristics of the volatility spillover dynamics across France, Germany, Switzerland and the United Kingdom using intraday data at 15-minute intervals. Specifically, we quantify four types of volatility spillover measures: total (non-directional) spillovers, gross directional spillovers, net directional spillovers, and net pairwise spillovers. Our results point to considerable interdependence among the four stock markets. We find that France and Germany were in general the net volatility transmitters to others, while Switzerland and the United Kingdom the net receivers from others during January 4, 2016 to September 30, 2016. Around the day of the Brexit referendum, France and the United Kingdom appear to be net transmitters, while Germany and Switzerland net receivers. Our empirical analysis uncovers important information regarding stock market interdependence, which will be beneneficial to both policymakers and practitioners.

Suggested Citation

  • Hong Li & Shamim Ahmed & Thanaset Chevapatrakul, 2016. "Volatility spillovers across European stock markets around the Brexit referendum," Discussion Papers 2016/06, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    • Handle: RePEc:not:notcfc:16/06
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    File URL: https://www.nottingham.ac.uk/cfcm/documents/papers/cfcm-2016-06.pdf
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    References listed on IDEAS

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    Cited by:

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    2. Yong Jiang & Yi-Shuai Ren & Chao-Qun Ma & Jiang-Long Liu & Basil Sharp, 2018. "Does the price of strategic commodities respond to U.S. Partisan Conflict?," Papers 1810.08396, arXiv.org, revised Feb 2020.

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    Keywords

    Market risk; Stock market; Spillover effect; Vector autoregression; and Variance decomposition.;
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