Using Thailand stock market data, we find that prospect theory has strong predictive power for returns in the Thailand stock market. This predictive power is strengthened during crises and bear and bull markets. The loss aversion component is the main contributor to the increased predictive...

We use machine learning methods and high-dimensional detailed financial data to predict the direction of one-year-ahead earnings changes. Our models show significant out-of-sample predictive power: the area under the receiver operating characteristics curve ranges from 67.52% to 68.66%,...