Text-mining technologies have substantially affected financial industries. As the data in every sector of finance have grown immensely, text mining has emerged as an important field of research in the domain of finance. Therefore, reviewing the recent literature on text-mining applications in...

Purpose – The purpose of this paper is to examine the reaction to earnings announcements in a small stock market. Design/methodology/approach – The paper uses the traditional event study method to examine the information content of annual earnings announcements in the small Danish stock...

Purpose – The aim of this paper is to investigate the effect of management earnings forecasts on the level of information asymmetry around subsequent earnings announcement. Design/methodology/approach – Employing the adverse selection cost method suggested by George et al., the paper...

Machine learning algorithms dedicated to financial time series forecasting have gained a lot of interest. But choosing between several algorithms can be challenging, as their estimation accuracy may be unstable over time. Online aggregation of experts combine the forecasts of a finite set of...