Volume, Volatility, and Public News Announcements

Tuesday, October 23, 2018
Tim Bollerslev, Jia Li, Yuan Xue


We provide new empirical evidence for the way in which financial markets process information. Our results rely critically on high-frequency intraday price and volume data for the S&P 500 equity portfolio and U.S. Treasury bonds, along with new econometric techniques, for making inference on the relationship between trading intensity and spot volatility around public news announcements. Consistent with the predictions derived from a theoretical model in which investors agree to disagree, our estimates for the intraday volume-volatility elasticity around important news announcements are systematically below unity. Our elasticity estimates also decrease significantly with measures of disagreements in beliefs, economic uncertainty, and textual-based sentiment, further highlighting the key role played by differences-of-opinion.


Tim Bollerslev, Jia Li, Yuan Xue; Volume, Volatility, and Public News Announcements, The Review of Economic Studies, Volume 85, Issue 4, 1 October 2018, Pages 2005–2041, https://doi.org/10.1093/restud/rdy003

Cover of The Review of Economic Studies