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.
Researchers are developing new ways to gauge volatility far beyond financial markets.
Research suggests today’s computers can predict asset returns with an unprecedented accuracy.
Text analysis is allowing researchers to make a host of observations.