(Massachusetts Institute of Technology) In a paper published this week in the Proceedings of ACM Sigmetrics Conference, MIT researchers describe a model for forecasting financials that uses only anonymized weekly credit card transactions and three-month earning reports. Tasked with predicting quarterly earnings of more than 30 companies, the model outperformed the combined estimates of expert Wall Street analysts on 57 percent of predictions.

Original source: https://www.eurekalert.org/pub_releases/2019-12/miot-mbw121919.php