This paper identifies a limit to arbitrage that arises from the fact that a firm's fundamental value is endogenous to the act of exploiting the arbitrage. Trading on private information reveals this information to managers and helps them improve their real decisions, in turn enhancing...

This paper studies the long-term effect of hedge fund activism on the productivity of target firms using plant-level information from the U.S. Census Bureau. A typical target firm improves its production efficiency in the three years after an activist intervention, and the improvements are most...

The promise of contingent convertible capital securities (CoCos) as a “bail-in” solution has been the subject of considerable theoretical analysis and debate, but little is known about their effects in practice. In this paper, we undertake the first comprehensive empirical analysis of bank...

We test the empirical validity of a claim that has been playing a central role in debates on corporate governance—the claim that interventions by activist hedge funds have a negative effect on the long-term shareholder value and corporate performance. We subject this claim to a comprehensive...

This paper studies how hedge fund activism reshapes corporate innovation. Firms targeted by hedge fund activists experience an improvement in innovation efficiency during the five-year period following the intervention. Despite a tightening in R&D expenditures, target firms experience increases...

We propose a tractable model of dynamic investment, spinoffs, financing, and risk management for a multi-division firm facing costly external finance. Our main results are: (1) within-firm resource allocation is based not only on the divisions’ productivity—as in “winner picking”...

An important milestone often reached in the life of an activist engagement is entering into a “settlement” agreement between the activist and the target's board. Using a comprehensive hand-collected data set, we analyze the drivers, nature, and consequences of such settlement agreements....

Growing AI readership, proxied by expected machine downloads, motivates firms to prepare filings that are friendlier to machine parsing and processing. Firms avoid words that are perceived as negative by computational algorithms, as compared to those deemed negative only by dictionaries meant...