Hidden Markov model (HMM) is a powerful machine-learning method for data regime detection, especially time series data. In this paper, we establish a multi-step procedure for using HMM to select stocks from the global stock market. First, the five important factors of a stock are identified and...

This paper empirically examines multifactor asset pricing models for the returns and expected returns on eighteen national equity markets. The factors are chosen to measure global economic risks. Although previous studies do not reject the unconditional mean- variance efficiency of a world...

This paper documents a negative relationship between options trading volume and stock returns. The relationship is remarkably robust and cannot be explained by existing asset-pricing theorems. We find that strategies that require buying stocks with low options trading volume in the past and...