The investment theory, in which the expected return varies cross-sectionally with investment, expected profitability, and expected growth, is a good start to understanding Graham and Dodd's (1934) Security Analysis. Empirically, the q^5 model goes a long way toward explaining prominent equity...

The General Data Protection Regulation (GDPR) came into effect in the European Union in May 2018. We study its short-run impact on investment in new and emerging technology firms. Our findings indicate negative post-GDPR effects on EU ventures, relative to their US counterparts. The negative...

In this paper we report results of an exploratory empirical effort examining relationships between investments in high-tech information technology capital and the distribution of employment, both by occupation and by level of educational attainment. Our data cover the two-digit U.S....

Even if an asset has no fundamental uncertainty with a constant dividend process, a stochastic sentiment-driven equilibrium for the asset price exists besides the well-known fundamental equilibrium. Our paper constructs such sentiment-driven equilibria under general utility functions within an...

Recent crises have seen very large spikes in asset price risk without dramatic shifts in fundamentals. We propose an explanation for these risk panics based on self-fulfilling shifts in risk made possible by a negative link between the current asset price and risk about the future asset price....

Momentum in firm fundamentals, i.e., earnings momentum, explains the performance of strategies based on price momentum. Earnings surprise measures subsume past performance in cross sectional regressions of returns on firm characteristics, and the time-series performance of price momentum...

Motivated from investment-based asset pricing, we propose a new factor model consisting of the market factor, a size factor, an investment factor, and a return on equity factor. The new factor model outperforms the Carhart four-factor model in pricing portfolios formed on earnings surprise,...

We survey the nascent literature on machine learning in the study of financial markets. We highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping...

High-tech firms are built much more on the intellectual capital of key personnel than on physical assets, and firms built around the best scientists are most likely to be successful in commercializing breakthrough technologies. As a result, such firms are expected to have higher market values...