Hansen and Jagannathan (1997) have developed two measures of pricing errors for asset-pricing models: the maximum pricing error in all static portfolios of the test assets and the maximum pricing error in all contingent claims of the assets. In this paper, we develop simulation-based Bayesian...

We examine aggregate idiosyncratic volatility in 23 developed equity markets, measured using various methodologies, and we find no evidence of upward trends when we extend the sample till 2008. Instead, idiosyncratic volatility appears to be well described by a stationary autoregressive process...

Stocks with recent past high idiosyncratic volatility have low future average returns around the world. Across 23 developed markets, the difference in average returns between the extreme quintile portfolios sorted on idiosyncratic volatility is -1.31% per month, after controlling for world...

This study empirically investigates the effects of options trading on future stock returns. Leveraging the Shanghai Stock Exchange 50 exchange-traded fund (50ETF) options trading data in China, we show that put-call ratios, skewness ratios, and China's Volatility Index exhibit economically and...

Using intraday 2015-2019 short sale data from CBOE and FINRA, we examine the intraday time patterns and information content of on-exchange and off-exchange shorting. Midday short sales and those near the open strongly and negatively predict the cross-section of stock returns at daily horizons...

Using 2020-2021 data from social media platform Reddit, we examine connections among stockprices, retail trading, short-selling and social media activity. Higher Reddit traffic, more positivetone, and higher Reddit connectedness predict higher returns, greater and more positive retail orderflow,...

Retail investors are heterogeneous, with vast differences in wealth, skills and demographics. Using comprehensive proprietary account-level data on trading and holdings from the Shanghai Stock Exchange from 2016 to 2019, we separate tens of millions of retail investors into five groups by their...

The widely-used Baker and Wurgler (2006) sentiment index is strongly correlated with business cycle variables, especially the short interest rate and Lee (2011) liquidity risk factor. The power of the sentiment index to predict cross-sectional stock returns is mainly driven by its information...

Stocks with recent past high idiosyncratic volatility have low future average returns around the world. Across 23 developed markets, the difference in average returns between the extreme quintile portfolios sorted on idiosyncratic volatility is -1:31% per month, after controlling for world...

Retail investors are heterogeneous, with vast differences in wealth, skills and demographics. Using comprehensive proprietary account-level data on trading and holdings from the Shanghai Stock Exchange from 2016 to 2019, we separate tens of millions of retail investors into five groups by their...