In merger agreements, the seller makes contractual representations and warranties (“reps”) about the state of the target, e.g., attesting to the accuracy of the target’s financial statements. We obtain a proprietary sample of claims for breaches of the reps in acquisition agreements...

In 1995 Congress passed the Private Securities Litigation Reform Act (PSLRA), which grants public companies a safe harbor from liability for forward-looking statements (FLS). Because investors cannot reasonably assess the legitimacy of forward-looking information for initial public offerings...

In this paper I show that the bond price reaction to earnings announcements has predic- tive power for post-announcement stock returns and that this predictive ability is driven by the bonds of non-investment grade firms. I find that bonds' predictive ability is more pronounced in firms that...

This paper provides evidence that disclosing corporate bond investors' transaction costs (markups) affects the size of the markups. Until recently, markups were embedded in the reported transaction price and not explicitly disclosed. Without explicit disclosure, investors can estimate their...

We show retail investors are highly responsive to changes in trading commission fees. Using a triple-difference research design around the removal of fees for retail investors on the international retail broker platform, eToro, we show investors responded by trading approximately 30% more...

This study examines the impact of government procurement on firms’ environmental commitments. Using a triple-difference (DDD) research design that exploits the exogenous increase in federal funding allocations across counties based on population census revisions, we find that firms with high...

In this paper, we examine the significance and uniqueness of individual-pair relationships cultivated through repeated loan interactions. Using a hand-collected dataset compiled of borrowing manager and loan officer information, we find that individual-pair relationship loans are associated with...

By leveraging machine-learning algorithms and using nontraditional digital data derived primarily from borrowers’ mobile devices, digital lenders have vastly expanded access to credit in developing economies for millions of individuals without a prior credit history. At the same time,...