We document that the firm level hiring rate predicts stock returns in the cross-section of US publicly traded firms even after controlling for investment, size, book-to-market and momentum as well as other known predictors of stock returns. The predictability shows up in both FamaMacBeth cross sectional regressions and in portfolio sorts and it is robust to the exclusion of micro cap firms from the sample. We propose a production-based asset pricing model with adjustment costs in labor and capital that replicates the main empirical findings well. Labor adjustment costs makes hiring decisions forward looking in nature and thus informative about the firms' expectations about future cash-flows and risk-adjusted discount rates. The model implies that the investment rate and the hiring rate predicts stock returns because these variables proxy for the firm's time-varying conditional beta. JEL Classification: E22, E23, E44, G12
The NSF and Alfred Sloan Foundation kindly provided research support. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.