DP18094 Estimating and Testing Investment-based Asset Pricing Models
Abstract 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.