Many retail investment platforms have introduced artificial intelligence (AI) analysts to help individual investors gather insights and evaluate investment products. Yet, there is scant empirical effort examining the business impact of such an AI tool on individual investors' financial market...

We examine two forward-looking mutual fund ratings: the analyst rating produced by human analysts and the quantitative rating generated by a machine learning technique. The analyst rating identifies outperforming funds, while the quantitative rating fails to do so—this difference is mostly due...

Stock market prediction has always caught the attention of many analysts and researchers. Popular theories suggest that stock markets are essentially a random walk and it is a fool’s game to try and predict them. Predicting stock prices is a challenging problem in itself because of the number...

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...