Economic Policy Uncertainty and Long-Run Stock Market Volatility and Correlation

Research output: Other contributionMiscellaneous

Abstract

We use Baker, Bloom, and Davis’s (2016) economic policy uncertainty indices in combination with the mixed data sampling (MIDAS) approach to investigate long-run stock market volatility and correlation, primarily for the US and UK. Long-run US–UK stock market correlation depends positively on US economic policy uncertainty shocks. The dependence is asymmetric, with only positive shocks - increasing uncertainty - being of importance. The US long-run stock market volatility depends significantly on US economic policy uncertainty shocks but not on UK shocks, while the UK long-run stock market volatility depends significantly on both. Allowing for US economic policy uncertainty shocks improves the out-of-sample forecasting of US–UK stock market correlation and enhances portfolio performance. Similar results apply to the long-run correlation between the US and Canada, China, and Germany.

Details

Authors
Organisations
External organisations
  • Aarhus University
  • Stockholm University
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Economics
Original languageEnglish
Publication statusUnpublished - 2018
Publication categoryResearch