Using a novel data set that covers individual debt claims against 136 bankrupt US companies and includes information on a subset of claims transfers, we provide new empirical insight regarding how a firm’s debt ownership relates to bankruptcy outcomes. Firms with higher debt concentration at the start of the case are more likely to file prearranged bankruptcy plans, to move quickly through the restructuring process, and to emerge successfully as independent going concerns. Moreover, higher ownership concentration within a debt class is associated with higher recovery rates to that class. Trading of claims during bankruptcy concentrates ownership further, but this trading is not associated with subsequent improvements in bankruptcy outcomes and could, at the margin, increase the likelihood of liquidation.

This article presents a unique test of the effectiveness of technical analysis in different sentiment environments by focusing on its usage by perhaps the most sophisticated and astute investors, namely, hedge fund managers. We document that during high-sentiment periods, hedge funds using technical analysis exhibit higher performance, lower risk, and superior market-timing ability than nonusers. The advantages of using technical analysis disappear or even reverse in low-sentiment periods. Our findings are consistent with the view that technical analysis is relatively more useful in high-sentiment periods with larger mispricing, which cannot be fully exploited by arbitrage activities because of short-sale impediments.