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Political uncertainty and stock market volatility: new evidence from the 2014 Scottish Independence Referendum

Author

Listed:
  • Julia Darby

    () (Department of Economics, University of Strathclyde)

  • Graeme Roy

    () (Department of Economics, University of Strathclyde)

Abstract

This paper investigates the extent to which companies headquartered in Scotland were exposed to heightened political uncertainty in the run-up to, and after, the 2014 independence referendum. Using a specially constructed capitalisation weighted stock price index for Scottish companies listed on the London stock exchange, evidence is presented to show that in the early part of the sample period, from April 2010 to late 2013, the conditional volatilities of the Scottish stock returns and of returns in the FTSE all share index can be characterised by the same GARCH parameters, but this is no longer the case once the estimation period is extended closer to the referendum date. Further investigation indicates that the relative volatility of Scottish companies’ stock returns peaked in early September 2014, when the polls suggested the referendum result was too close to call, fell back after the referendum result was known, but built up again in the run up to the publication of the Smith Commission’s report on further devolution in November 2014. These key findings are found to be robust to the inclusion/exclusion of the Royal Bank of Scotland, the whole of the Scottish financial sector, and companies operating in the oil and gas sector from the Scottish stock price index.

Suggested Citation

  • Julia Darby & Graeme Roy, 2017. "Political uncertainty and stock market volatility: new evidence from the 2014 Scottish Independence Referendum," Working Papers 1706, University of Strathclyde Business School, Department of Economics.
  • Handle: RePEc:str:wpaper:1706
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Scottish independence referendum; stock market volatility; political uncertainty;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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