This paper introduces a novel, option-free methodology to calculate the tail risk premium for individual stocks, and examines the characteristics of this premium in the cross section of stock returns. The existence of a premium for bearing negative tail risk is significantly associated with...

We investigate the uncertainty dynamics surrounding extreme weather events through the lens of option and stock markets by identifying market responses to the uncertainty regarding both potential hurricane landfall and subsequent economic impact. Stock options on firms with establishments...

We examine the effect of investor attention spillover on stock return predictability. Using a novel measure, the News Network Triggered Attention index (NNTA), we find that NNTA negatively predicts market returns with a monthly in(out)-of-sample R-square of 5.97% (5.80%). In the cross-section, a...

This paper investigates how stock-specific and market-wide news sentiments, obtained from Thomson Reuters News Analytics, affect abnormal returns of S&P 500 stocks. It is well-known that the relationships between the stock-specific news sentiment and raw stock returns are rather weak. This can...

We examine the effects of limited investor attention on stock returns by using Google search volume index to measure investor attention. We also investigate whether national culture and market development have any role in this relationship. We find that the impact of investor attention on stock...

We investigate the impact of financial news on equity returns and introduce a non-parametric model to generate a sentiment signal, which is then used as a predictor for short-term, single-stock equity return forecasts.We build on Google's BERT model (for Bidirectional Encoder Representations for...

This article examines the time-series predictive ability of monthly option-implied idiosyncratic skewness (Skew, hereafter) for stock market excess returns. Skew is a strong negative predictor of returns with particular strong power at long horizons. Specifically, the out-of-sample R^2...