We show that queue rationing under price controls is one driver of high-frequency trading. Uniform tick sizes constrain price competition and create rents for liquidity provision, particularly for securities with lower prices. The time priority rule allocates rents to high-frequency traders (HFTs) because of their speed advantage. An increase in relative tick size, defined as uniform tick sizes divided by security prices, increases the fraction of liquidity provided by HFTs but harms liquidity. We find that the message-to-trade ratio is a poor cross-sectional proxy for HFTs’ liquidity provision: stocks with more liquidity provided by HFTs have lower message-to-trade ratios. Received September 15, 2015; editorial decision October 7, 2017 by Editor Robin Greenwood.

We find the confluence of CEO-same industry experience makes independent directors particularly helpful in enhancing value-added growth and we identify a channel: guidance toward higher value-added R&D investments and higher quality innovations. Further corroborating these inferences, we find greater improvement in value-added growth when (1) independent directors with industry–CEO experience (IDICEs) have experience in more similar industries; (2) they create more shareholder value as CEO; and (3) they are current CEOs. In addition, IDICEs contribute to value-added growth most when firm environments and characteristics are conducive for active board-management interaction; namely, when product markets are more competitive and dynamic, when outsiders can more easily acquire firm-specific information, and when firms are younger and smaller. Consistent with our inferences on how IDICEs contribute to value-added growth, firms growing faster, less successfully innovating, and/or under strong governance tend to be matched with IDICEs.

This paper proposes a new methodology for analyzing nonlinear pricing data. We establish identification of the model primitives with a known tariff and characterize the model restrictions on observables. We propose a quantile-based nonparametric estimator that achieves consistency at the parametric rate. We introduce unobserved product heterogeneity with an unknown tariff and show how our identification and estimation results extend. A Monte Carlo study analyzes the robustness of our methodology to menus of two-part tariffs. Analysis of cellular service data assesses the performance of various pricing strategies. We discuss extensions to network effects, multiproduct firms, bundling, differentiated products, and oligopolies.

We investigate a new facet of hedging ability among hedge fund managers. Using a sentiment exposure model, we find evidence that fund managers adjust the market exposure of their portfolios to changes in market sentiment. Out-of-sample evidence indicates that hedge funds having the highest negative sentiment exposure outperform funds having the highest positive sentiment exposure by 1.7%–2.4% per year. The results remain persistent for both the sub-period analysis and the analysis excluding crisis periods. We also find that a hedge fund's willingness to take on sentiment exposure decreases with fund age and fund size and increases with incentive fees. Our findings remain robust even after controlling for hedge fund data biases, as well as using alternative sentiment measures.

The triangle model of responsibility (Schlenker, Britt, Pennington, Murphy, and Doherty 1994) predicts that the extent that investors hold management responsible for an adverse event is jointly determined by the links among three elements—management, the adverse event, and the relevant accounting regulations/standards or public norms. Applying this theory, we conduct experiments to examine how the locus of breach (external versus internal) moderates the efficacy of management's responsibility acceptance (higher versus lower). Our results show that management's higher (versus lower) responsibility acceptance is a more effective strategy in the presence of an external breach, but not in the presence of an internal breach (Experiment 1). Follow-up experiments suggest that this result is driven by the relative strength of the triangle links underlying the external versus internal breaches, rather than the locus per se. JEL Classifications: G40; M41. Data Availability: Contact the authors.

This paper adopts a novel approach to examine the roles of gender difference and intra-household economic power in mortgage signing order. We develop an “economic power” index based on relative economic power within the same-sex couple households. We then use this measure along with gender identity and other factors to explain signing order in different-gender couples. Our results suggest that, while pure economic power explains much of the observed signing order, gender difference plays an important role. Analysis exploiting regional variation reveals that gender difference in signing order is greater in states with a larger gender wage gap and red states whose residents predominantly vote for the Republican.