Machine learning is being tasked with an increasing number of important decisions. But the answers it generates involve a degree of uncertainty.
Using machine-learning techniques, researchers devised a model for identifying positive and negative sentiment in financial news.
Research suggests today’s computers can predict asset returns with an unprecedented accuracy.
Text analysis is allowing researchers to make a host of observations.
Some assets are more sensitive to capital risk than others.