The increased burden of disclosure and governance regulations is often cited as a key reason for the significant decline in the number of publicly-listed companies in the U.S. We explore the connection between regulatory costs and the number of listed firms by exploiting a regulatory quirk: many...

We use machine learning to analyze minute-by-minute Bloomberg online status data and study how the effort provision of top executives in public corporations affects firm value. While executives likely spend most of their time doing other activities, Bloomberg usage data allows us to characterize...

Legal records indicate that conflicts of interest -- that is, situations in which officers and directors were in a position to benefit themselves at the expense of minority shareholders -- were endemic to corporations in the late-nineteenth and early-twentieth century U.S. Yet investors...

We estimate the long-term effects of experiencing high levels of job demands on the mortality and aging of CEOs. The estimation exploits variation in takeover protection and industry crises. First, using hand-collected data on the dates of birth and death for 1,605 CEOs of large, publicly-listed...

We study how ownership structure, in particular public listing status, affects workplace safety and productivity tradeoffs. Theory offers competing hypotheses on how listing related frictions affect these tradeoffs. We exploit detailed asset-level data in the U.S. coal industry and find that...

We examine the current state of the U.S. public corporation and how it has evolved over the last 40 years. After falling by 50 percent since its peak in 1997, the number of public corporations is now smaller than 40 years ago. These corporations are now much larger and over the last twenty years...

This paper studies the operations and financial valuations of 13 cryptocurrency mining companies that are listed on the NASDAQ stock exchange and have facilities in North America. We find that miners using Texas wind power are offline more than other miners, in a more erratic pattern, while...

We examine how public firms listed in North American stock exchanges acquire technology companies during 2010-2020. Combining data from S&P, Refinitiv, Compustat, and CRSP, and utilizing a unique S&P taxonomy that classifies tech M&As by tech categories and business verticals, we show that 13.1%...

What are the effects of recent advances in Generative AI on the value of firms? Our study offers a quantitative answer to this question for U.S. publicly traded companies based on the exposures of their workforce to Generative AI. Our novel firm-level measure of workforce exposure to Generative...

We determine firms' equity ownership structures and provide a theory of hostile takeovers by distinguishing the roles of two types of blockholders: rich investors and institutional investors. We also distinguish the roles of two types of stock markets: the block market and the market with small...