We create a firm-level ChatGPT investment score, based on conference calls, that measures managers' anticipated changes in capital expenditures. We validate the score with interpretable textual content and its strong correlation with CFO survey responses. The investment score predicts future...

We study investment options in a dynamic agency model. Moral hazard creates an option to wait and agency conflicts affect the timing of investment. The model sheds light, theoretically and quantitatively, on the evolution of firms' dynamics, in particular the decline of the failure rate and the...

We argue that the prospect of an imperfect enforcement of debt contracts in default reduces shareholder-debtholder conflicts and induces leveraged firms to invest more and take on less risk as they approach financial distress. To test these predictions, we use a large panel of firms in 41...

We study the optimal timing of security issuance to finance a new project when the firm's assets in place have unobservable quality. Stochastic cash flows generated by assets in place reveal information about their quality and simultaneously reduce the required outside funding. A high-quality...