This paper examines the impact of agency conicts on corporate nancing decisions. Werst build a dynamic contingent claims model in which nancing policy results from a trade-obetween tax benets, contracting frictions, and agency conicts. In our setting, partially-entrenched managers set the rms'...

We develop a dynamic tradeoff model to examine the importance of manager-shareholder conflicts in capital structure choice. Using panel data on leverage choices and the model's predictions for different statistical moments of leverage, we show that while refinancing costs help explain the...

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 conflicts are largely due to differences in...

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, various reward functions can lead to the...

We use a dynamic model of cash management in which firms face competitive pressure to show that competition increases corporate cash holdings as well as the frequency and size of equity issues. In our model, these effects are driven by small, financially constrained firms, in contrast with the...

How much of a loan should a lender dynamically retain and how does retention affect loan performance? We address these questions in a dynamic agency model in which a lender originates loans that it can sell to investors. The lender reduces default risk through screening at origination and...