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...

How do firms manage recession risks? We solve a dynamic model with stochastic transitioning between recessions and expansions. In recessions, cash flows decline, cash-flow volatility increases, and both default and external financing costs increase. Firms manage the possibility of future...

Using data on indicative quotes dealers provide to clients, we establish empirical relationships regarding quote competition in the corporate bond market. Market-wide higher quoting activity is associated with greater trading volume and lower trading costs. At the dealer level, quoting dealers...

We derive the effect of plausible deniability on asset risk premia in a dynamic setting with correlated firm values, systematic risk, and risk-averse investors. Firms optimally exercise American disclosure options, which are more valuable due to the possibility that other correlated firms may...

We derive the effect of plausible deniability on asset risk premia in a dynamic setting with correlated firm values, systematic risk, and risk-averse investors. Firms optimally exercise American disclosure options, which are more valuable due to the possibility that other correlated firms may...