This paper explores stock return predictability by exploiting the cross-section of oil futures prices. Motivated by the principal component analysis, we find the curvature factor of the oil futures curve predicts monthly stock returns: a 1% per month increase in the curvature factor predicts...

I extract three oil risk factors using oil futures prices and returns of oil related firms. The first factor accounts for news that uniformly affects expected oil prices at all horizons, the second factor accounts for news that affects near term expected oil prices, and the third factor accounts...

Security regulators charge firms with providing material information about intangible investments to outside investors. Among the many firms that do not report their advertising, 25% are in the top decile of observed advertising. We find that relying on managerial judgment for disclosure...

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...

Using comprehensive patent lawsuit data from 2000 to 2014, we find that a stock portfolio consisting of firms involved in patent lawsuits provides significantly positive stock returns (between 0.56% to 1.02% per month) in the following year. We propose and examine several possible explanations...

Firms with higher R&D intensity subsequently experience higher stock returns in international stock markets, highlighting the role of intangible investments in international asset pricing. The R&D effect is stronger in countries where growth option risk is more likely priced, but is unrelated to...