We show that firms with younger CEOs are more likely to experience stock-price crashes, including crashes caused by revelation of negative news in the form of breaks in strings of consecutive earnings increases. Such strings are accompanied by large increases in CEO compensation that do not...

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...