We apply modern machine learning techniques to characterize disclosure misclassification by public companies. We find that 12-26% of disclosures are misclassified; those concerning material definitive agreements, executive or director turnover, and delistings are most commonly misclassified. Using...

We examine the effect of institutional ownership on corporate disclosure policy using a regression discontinuity design. Using novel data that encompasses every 8-K filing between 1996 and 2006, we find that positive shocks to institutional ownership around Russell index reconstitutions...

We implement a regression discontinuity design to examine the effect of institutional ownership on tax avoidance. Positive shocks to institutional ownership around Russell index reconstitutions lead, on average, to significant decreases in effective tax rates (ETRs) and greater use of...