We provide strong evidence that the dispersion of individual stock options trading volume across moneynesses (IDISP) contains valuable information about future stock returns. Stocks with high IDISP consistently underperform those with low IDISP by more than 1% per month. In line with the idea that IDISP reflects dispersion in investors’ beliefs, we find that the negative IDISP-return relationship is particularly pronounced around earnings announcements, in high sentiment periods and among stocks that exhibit relatively high short-selling impediments. Moreover, the IDISP effect is highly persistent and robustly distinct from the effects of a large array of previously documented cross-sectional return predictors
We examine the relationship between opinion divergence among analysts, trading volume, and stock re...
We analyse 289,443 online tweets from StockTwits and construct a divergence of opinion (disagreement...
Theory suggests that options may play an important role in improving information efficiency of finan...
We provide strong evidence that the dispersion of individual stock options trading volume across mon...
We create a market-wide measure of dispersion in options investors' expectations by aggregating acr...
In this dissertation, I study the effects of option-type measures of investors’ beliefs on expected ...
We create a market-wide measure of dispersion in options investors’ expectations by aggregating acro...
This study investigates whether the cross-sectional dispersion of stock returns, which reflects the ...
We create a market-wide measure of dispersion in options investors' expectations by aggregating acro...
This study investigates whether the cross-sectional dispersion of stock returns, which reflects the ...
We study the effect of an asset's volatility on the expected returns of European options written on ...
AbstractIn this article, we use volatility surface data from options contracts to document a strong,...
This paper investigates the role of volatility on stock return predictability. using 596 stock optio...
Using firm-level option and stock data, we examine the predictive ability of option-implied volatili...
This paper develops two competing hypotheses for the relation between the cross-sectional standard d...
We examine the relationship between opinion divergence among analysts, trading volume, and stock re...
We analyse 289,443 online tweets from StockTwits and construct a divergence of opinion (disagreement...
Theory suggests that options may play an important role in improving information efficiency of finan...
We provide strong evidence that the dispersion of individual stock options trading volume across mon...
We create a market-wide measure of dispersion in options investors' expectations by aggregating acr...
In this dissertation, I study the effects of option-type measures of investors’ beliefs on expected ...
We create a market-wide measure of dispersion in options investors’ expectations by aggregating acro...
This study investigates whether the cross-sectional dispersion of stock returns, which reflects the ...
We create a market-wide measure of dispersion in options investors' expectations by aggregating acro...
This study investigates whether the cross-sectional dispersion of stock returns, which reflects the ...
We study the effect of an asset's volatility on the expected returns of European options written on ...
AbstractIn this article, we use volatility surface data from options contracts to document a strong,...
This paper investigates the role of volatility on stock return predictability. using 596 stock optio...
Using firm-level option and stock data, we examine the predictive ability of option-implied volatili...
This paper develops two competing hypotheses for the relation between the cross-sectional standard d...
We examine the relationship between opinion divergence among analysts, trading volume, and stock re...
We analyse 289,443 online tweets from StockTwits and construct a divergence of opinion (disagreement...
Theory suggests that options may play an important role in improving information efficiency of finan...