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While Reinforcement Learning (RL) aims to train an agent from a reward function in a given environment, Inverse Reinforcement Learning (IRL) seeks to recover the reward function from observing an expert’s behavior. It is well known that, in general, variou ...
We use a dynamic cash management model in which firms face competitive pressure to show that product market competition increases the cash holdings as well as the size and frequency of equity issues of financially constrained firms. We test these predictio ...
We use a dynamic model of financing decisions to measure agency conflicts for a large panel of 12,652 firms from 14 countries. Our estimates show that agency conflicts are large and vary significantly across firms and countries. Differences in agency confl ...
We develop a dynamic tradeoff model to examine the importance of managershareholder conflicts in capital structure choice. In the model, firms face taxation, refinancing costs, and liquidation costs. Managers own a fraction of the firms equity, capture par ...