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 have developed a measure of the real risk of individual assets such as stocks, futures, and exchange-traded funds.
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.