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Estimating and testing investment-based asset pricing models

Author

Listed:
  • Belo, Frederico
  • Deng, Yao
  • Salomao, Juliana

Abstract

Investment-based asset pricing models typically predict a close link between a firm’s stock return and its characteristics at any point in time. Yet, previous studies have primarily focused on the weaker prediction that this link holds on average, finding substantial empirical support. 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 investment-based models 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.

Suggested Citation

  • Belo, Frederico & Deng, Yao & Salomao, Juliana, 2024. "Estimating and testing investment-based asset pricing models," Journal of Financial Economics, Elsevier, vol. 162(C).
    • Handle: RePEc:eee:jfinec:v:162:y:2024:i:c:s0304405x24001685
    DOI: 10.1016/j.jfineco.2024.103945
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    More about this item

    Keywords

    Asset pricing; Q-theory; Neoclassical investment; Structural estimation;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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