Does Inventory Productivity Predict Future Stock Returns? A Retailing Industry Perspective

Abstract

We find that inventory productivity strongly predicts future stock returns among a sample of publicly listed U.S. retailers during the period from 1985 to 2010. A zero-cost portfolio investment strategy, which consists of buying from the two highest and selling from the two lowest quintiles formed on inventory turnover, earns more than 1% average monthly abnormal return benchmarked to the Fama-French-Carhart four-factor model. Our results are robust to different measures of inventory productivity, distinct from the well-known firm characteristics known to generate abnormal returns, and not driven by a particular sub-sample period. A longitudinal analysis of portfolio returns over longer holding periods shows that, while inventory productivity is predictive of stock returns, its information dissipates about 1-2 years after release.