We offer an investment-based interpretation of price and earnings momentum. The neoclassical theory of investment implies that expected stock returns are tied with the expected marginal benefit of investment divided by the marginal cost of investment. Winners have higher expected growth and...

Optimal investment of firms implies that expected stock returns are tied with the expected marginal benefit of investment divided by the marginal cost of investment. Winners have higher expected growth and expected marginal productivity (two major components of the marginal benefit of...

The q-factor model shows strong explanatory power and largely summarizes the cross section of average stock returns. In particular, the q-factor model fully subsumes the Fama-French (2018) 6-factor model in head-to-head factor spanning tests. The q-factor model is an empirical implementation of...

The paper builds up a macro function of investment to capture various key determinants and explore the intricate determination mechanism of aggregate investment. It explicates the basic trend determinant of investment, locates the cause of investment volatility and identifies the magnifier of...

The effects of sentiment should be strongest during times of heightened valuation uncertainty. As such, we document a significant amplifying role for market uncertainty in the relation between sentiment and aggregate investment. A one-standard-deviation increase in uncertainty more than doubles...

We create a firm-level ChatGPT investment score, based on conference calls, that measures managers' anticipated changes in capital expenditures. We validate the score with interpretable textual content and its strong correlation with CFO survey responses. The investment score predicts future...

We study the impact of a financial transaction tax (FTT) in a model that combines asset trade and real investment. An informed trader holds private information about the fundamental value of a firm and the firm's manager relies on the asset price to infer such information and invest accordingly....

Traditional risk factor models indicate that hedge funds capture pre-fee alphas of 6% to 10% per annum over the period from 1996 to 2012. At the same time, the hedge fund return series is not reliably distinguishable from the returns of mechanical S&P 500 put-writing strategies. We show that the...

FinTech makes numerous financial products accessible to common investors but up to now, there is no risk measure method specially customized for common investors instead of financial institutions which are generally too big to fail. This paper develops a hedging-based utility risk measure (HBU)...

The increased prevalence of algorithmic trading (AT) has an economically meaningful positive effect on the sensitivity of corporate investment to stock prices. The effect is pervasive in that the positive impact of AT on the investment-to-price sensitivity holds in even stocks with relatively...