Abstract

 


 



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


Yasin Alan


Vanderbilt University - Operations Management

George Gao


Cornell University - Samuel Curtis Johnson Graduate School of Management

Vishal Gaur


Cornell University - Samuel Curtis Johnson Graduate School of Management

September 4, 2012

Vanderbilt Owen Graduate School of Management Research Paper No. 1971774
Johnson School Research Paper Series No. 3-2012

Abstract:     
Inventory forms one of the largest asset components and is a key management item for a retailer. 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 long-short 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% abnormal return per month on average. Our results are robust to different measures of inventory productivity and are not driven by a particular sub-sample period. The return predictability of inventory productivity is also distinct from the well-known effects of size, book-to-market, momentum, accruals, operating leverage and capital investments. Our findings suggest that the stock market rewards retailers with high inventory productivity, which illustrates the importance of lean operations for a retailer’s long-run success.

Number of Pages in PDF File: 34

Keywords: Operations-finance interface, retail operations, inventory productivity, empirical asset pricing

working papers series


Download This Paper

Date posted: December 14, 2011 ; Last revised: March 25, 2013

Suggested Citation

Alan, Yasin, Gao, George and Gaur, Vishal, Does Inventory Productivity Predict Future Stock Returns? A Retailing Industry Perspective (September 4, 2012). Vanderbilt Owen Graduate School of Management Research Paper No. 1971774; Johnson School Research Paper Series No. 3-2012. Available at SSRN: http://ssrn.com/abstract=1971774 or http://dx.doi.org/10.2139/ssrn.1971774

Contact Information

Yasin Alan (Contact Author)
Vanderbilt University - Operations Management ( email )
Nashville, TN 37203
United States

George Gao
Cornell University - Samuel Curtis Johnson Graduate School of Management ( email )
Sage Hall 366
Ithaca, NY 14853
United States
Vishal Gaur
Cornell University - Samuel Curtis Johnson Graduate School of Management ( email )
Ithaca, NY 14853
United States
HOME PAGE: http://www.johnson.cornell.edu/faculty/profiles/Gaur/

Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 2,008
Downloads: 481
Download Rank: 27,124

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo5 in 0.609 seconds