Does more competition lead to more information production and greater investment efficiency? This question is largely unexplored in the finance literature. This paper provides both a model and a series of extensive empirical tests. The model features a two-stage Bayesian game in differentiated...

We document novel results that the lottery effect (lottery-like stocks earn lower returns) is much stronger in liquid stocks. We posit that noise traders dominate the trading of liquid lottery-like stocks, as described in the limits to arbitrage literature, who are attracted by the high jackpot...

We propose that general purpose technologies (GPTs) — a class of technologies that have pervasive impacts on the economy and spill over across countries — are a source of non-diversifiable technology risk in international stock markets. We construct an empirical GPT factor from patent data...

This paper uses deep learning and natural language processing (NLP) methods on the US patent corpus to evaluate their predictive power in estimating two measures of patent value: (i) investor reaction to patent announcements as measured in Kogan et al., 2017 and (ii) forward citations. While...

This paper empirically examines the informational role of start-ups' patenting activities in venture capital (VC) financing, based on comprehensive patent data for VC-backed firms in the U.S. from 1976 through 2005. We find that start-ups' patenting activities before receiving VC investment...

This paper empirically examines the effects of industrial and geographic innovations on firm-level profitability and stock returns due to spillovers. Using the data of U.S. patents and patent inventors, we propose empirical proxies for industrial and geographic spillovers and find a positive...

This paper examines how financial frictions and policy uncertainty jointly influence firms' investments in pollution abatement. Our data analyses suggest that financially constrained firms are less likely to invest in pollution abatement and are more likely to release toxic pollutants, with this...