What Does Investors' Online Divergence of Opinion Tell Us about Stock Returns and Trading Volume?
37 Pages Posted: 9 Jan 2018
Date Written: January 5, 2018
We analyse 289,443 online tweets from StockTwits and construct a divergence of opinion (disagreement) indicator for investigating the impact of disagreement on stock returns and trading volume. We find that the impact of disagreement on returns is asymmetric; it is negative (positive) during bull (bear) market periods. We also find that higher online disagreement increases trading volume; this effect is detected irrespective of whether the market is bullish or bearish. Moreover, portfolio strategies that are designed on the basis of our disagreement indicator are shown to generate abnormal profits. Overall, our results confirm the important role of belief dispersion in financial markets.
Keywords: Disagreement, Online tweets, Stock returns, Trading volume
JEL Classification: C21, G02, G14
Suggested Citation: Suggested Citation