We suggest a simple practical method to combine the human and artificial intelligence to both learn best investment practices of fund managers, and provide recommendations to improve them. Our approach is based on a combination of Inverse Reinforcement Learning (IRL) and RL. First, the IRL...

I backcast expectation errors of credit spreads via machine learning. I use newspapers over the past century to construct text-based expectations of credit spreads and study the relationship between expectation errors and business cycles. The main result is that overoptimism about future credit...

We adopt a two-stage, contingency approach to analyze the relationship between timing of entry and subsidiary survival. We develop and test hypotheses concerning determinants of the timing of entry, and hypotheses about asset-based competitive advantage moderators of timing of entry's influence...