Dealer quotes in corporate bonds, though indicative, lower trading costs and increase trading volume. Dealers offering higher quality quotes attract more order flow and execute trades at favorable prices. Dealers advertise quotes to manage their inventories and attract orders from nonrelationship clients. However, quote competition is imperfect. The best quotes often fail to attract orders, and trade‐throughs are common. Nevertheless, quote competition is important as clients exploit quotes from other dealers in negotiations, forcing dealers with lower quality quotes to offer price improvements. Quoting is not a zero‐sum game, as more active bond‐level quoting leads to more bond‐level trading.

We study the performance of investments made at different points of an investment cycle. We use a large data set covering hotels in the United States, with rich details on their location, characteristics, and performance. We find that hotels built during hotel construction booms underperform their peers. For hotels built during local hotel construction booms, this underperformance persists for several decades. We examine possible explanations for this long‐lasting underperformance. The evidence is consistent with information‐based herding explanations.

We propose a theoretical measure of income hedging demand and show that it affects asset prices. We focus on the value factor and first demonstrate that our demand estimates are correlated with the actual demands of retail and mutual fund investors. We then show that the aggregate high‐minus‐low (HML) demand predicts HML returns. Exploiting the state‐level variation in income risk, we demonstrate that state‐level hedging demands predict state‐level HML returns. A long‐short portfolio that exploits this hedging‐induced predictability earns an annualized risk‐adjusted return of 6%.