We provide evidence that an option implied volatility-based measure predicts future absolute excess returns of the underlying stock around earnings announcements and annual meetings of shareholders, even after controlling for the realized stock return volatility shortly before these information...

On September 20, 2016, the Japan Securities Dealers Association implemented guidelines that prohibited securities sell-side analysts to obtain an earnings preview before the earnings' official release. We examine the unique impact of the guidelines on market behavior and analyst forecasts in the...

This paper uses holdings and outage data from Robinhood and transaction-level data from U.S. exchanges to examine how retail investors affect the pricing of public earnings information. We find that retail trader activity is associated with prices that are more responsive to earnings surprises,...

This study investigates the relation between tax expense surprise and expected equity returns in emerging markets. Utilizing a broad sample of equities from 27 emerging countries, we find strongly positive link between tax expense surprise and the cross-sectional expected stock returns....

The popularity of sustainable investments is unbroken and attracts investors and researchers alike. Modelling the properties of such 'green' firms, Pástor, Stambaugh, and Taylor 2021 consider a hedge against climate risks in their theoretical model. Likewise, it could be assumed that companies...

The purpose of this paper is to analyse the predictability of earnings information before the quarterly disclosure date. Two categories of firms are contrasted: the firms that announce better quarterly earnings than the prior period and the firms that do not. The paper uses a sample of 67...

Drawing upon an extensive dataset comprising 3,680 cyberattacks on firms listed in 5 stock markets, our main objective is to ascertain the financial market reaction based on a hybrid valuation inspired by the event study methodology and a counterfactual analysis. Analyses concern three dates...

We uncover networks from news articles to study cross-sectional stock returns. By analyzing a huge dataset of more than 1 million news articles collected from the internet, we construct time-varying directed networks of the S&P500 stocks. The well-defined directed news networks are formed based...

We investigate the impact on firms of joining the S&P 500 index from 1997 to 2017. We find that the positive announcement effect on the stock price of index inclusion has disappeared and the long-run impact of index inclusion has become negative. Inclusion worsens stock price informativeness and...

Based on 58,256 news articles published in the Financial Times during a 15-year period that cover companies in the DJIA, we find that a trading strategy that longs stocks with the most negative news and shorts stocks with the least negative news is not profitable. Consistent with this result, we...