This paper reports on the construction of a new dataset that combines data on trademark applications and registrations from the U.S. Patent and Trademark Office with data on firms from the U.S. Census Bureau. The resulting dataset allows tracking of various activity related to trademark use and...

Miscalibration is a standard measure of overconfidence in both psychology and economics. Although it is often used in lab experiments, there is scarcity of evidence about its effects in practice. We test whether top corporate executives are miscalibrated, and whether their miscalibration impacts...

U.S. companies are often criticized for being overly short-term oriented. This paper documents that those criticisms have a long history, going back at least thirty-five years. The paper then considers the implications of sustained short-termism for corporate profits, venture capital investments...

We explore a subtle but important mechanism through which firms can control information flow to the markets. We find that firms that "cast" their conference calls by disproportionately calling on bullish analysts tend to underperform in the future. Firms that call on more favorable analysts...

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...