Estimating and testing investment-based asset pricing models
本摘要源自该文的 CEPR 工作论文版（2023），正式发表版可能有调整。
Most investment-based asset pricing models predict a close link between a firm's stock return and firm-characteristics at any point in time. Yet, previous work typically examines the weaker prediction that this link should hold on average. We show how to incorporate the time-series predictions in the estimation and testing of investment-based models using the generalized method of moments. We find that standard specifications of the investment-based model with one physical capital input fail to match the time series properties of stock returns in the data, and discuss the implications of the findings for future research.