We apply state-of-the-art financial machine learning to assess the return-predictive value of more than 45,000 earnings announcements on a majority of S&P1500 constituents. To represent the diverse information content of earnings announcements, we generate predictor variables based on various...

This study examines the determinants of Facebook activity levels with a particular focus on Facebook activity around earnings announcements. Facebook activity is generally higher for firms with higher levels of analyst following, individual ownership, and trading volume, indicating that it is...

Using a sample of 104 companies that conducted initial public offering (IPO) on the Warsaw Stock Exchange between 2006 and 2016, we investigated the relationship between the accuracy and bias of the earnings forecast disclosed in the IPO prospectus and the firm corporate governance attributes....

This article discusses the effects of non-recurring profits and losses on statement users' decision-making processes from the perspective of securities analysts. We examine the relationship between analysts’ forecast revisions and firms’ non-recurring earnings. We find that 1) non-recurring...

We constructed forecasts of earnings forecasts using data on 406 firms and forecasts made by 5419 individuals with on average 25 forecasts per individual. We verified previously found predictors, which are the average of the most recent available forecast for each forecaster and the difference...

Unlike previous studies which have examined the role of financial analysts in developed economies, the aim of this paper is to investigate whether following the Tunisian stock market opening, both the analyst forecast accuracy and the market’s reliance on analyst forecasts, increase with time....