Do economic incentives govern information diffusion in markets? Using international banks’ advisory activities in corporate takeovers as their source of private information, we show in supervisory data that banks with closer ties to the target, but not the acquirer, advisor trade profitably in the target’s stock prior to the deal announcement. This trading behavior is associated with a higher premium paid by the acquirer without compromising the deal success. As the incentives of informed traders are aligned only with those of the target shareholders, which are represented by the target advisor, our evidence suggests strategic information transmission among these banks.

Does debt overhang distort only investment? This paper analyzes the subsequent effects of debt overhang on firm-level outcomes. Using an event study for German firms from 2004 to 2021, we find that, relative to comparable firms in the same industry and year, highly indebted firms do not merely invest less, which is the classic overhang result. They also hire less, and the two margins together translate into slower sales growth. The composition of the adjustment, however, depends on the firm’s growth regime. Highly indebted firms that keep expanding slow their hiring but raise capital per worker over the long run, substituting capital for labour along a flatter expansion path. Highly indebted firms that contract shed workers with no offsetting change in capital intensity: they scale down rather than restructure. These patterns hold in normal times as well as in crises and are concentrated among small and medium-sized limited-liability firms. Debt overhang is therefore not a pure investment wedge but a persistent drag on firm scale, whose incidence across inputs is determined by whether the firm is growing or shrinking.

We examine the contractual evolution of poison pill design, focusing on lower ownership triggers, acting-in-concert provisions, and synthetic equity clauses that tailor pills to defend against shareholder activism. Using novel data on hedge funds' access to SEC filings as a proxy for intervention threats, we find that firms facing heightened activist threats are more likely to adopt anti-activist pills. Relative to comparable firms under activist scrutiny, pill adopters experience fewer subsequent activist interventions and are less likely to pursue activist-favored policies, such as reduced investment and increased buybacks. These findings contribute to policy debates over defensive measures against activist interventions.

This paper examines the impact of climate risks on the debt structure of a sample of U.S. firms from 2002 through 2020. Climate risks—mainly physical, regulatory, and transition risks—are associated with a concentrated debt structure for the affected firms. However, when climate risks propagate through the channels of expected bankruptcy costs and sustainability, they are associated with a more diversified debt structure. Additionally, climate risks asymmetrically impact the relationship between access to finance and debt structure. Results from a quasi-natural experiment reaffirm the impact of climate risks on debt structure.

Predicting IPO first-day returns is inherently challenging due to the wide range of contributing factors, each with distinct statistical properties. We assess the performance of several machine learning (ML) techniques and identify XGBoost as the most statistically effective model for forecasting first-day returns. Using a comprehensive set of 863 pre-IPO variables, our high-performing predictive model accurately estimates both the direction and magnitude of IPO first-day returns. The most influential predictors include underwriter agency measures, price revision, and the free-float fraction. Using a rolling-window predictive approach, the model demonstrates substantial practical value, generating approximately $300 billion in gains from IPOs with positive first-day returns and avoiding more than $22 billion in losses from those with negative returns over the 2000–2016 period.