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Credit Conditions and Expected Stock Returns


Sudheer Chava


Georgia Institute of Technology - College of Management

Heungju Park


Peking University - HSBC School of Business

Michael F. Gallmeyer


University of Virginia (UVA) - McIntire School of Commerce

May 15, 2010


Abstract:     
We analyze the predictability of U.S. stock returns using a measure of credit standards (Standards) derived from the Federal Reserve Board's Senior Loan Officer Opinion Survey on Bank Lending Practices. We find that Standards is a strong predictor of stock returns at a business cycle frequency, especially in the post-1990 data period. Empirically we find that a tightening of Standards predicts lower future stock returns. Standards performs well both in-sample and out-of-sample and is robust to a host of consistency checks including a small sample analysis. Further, alleviating data snooping concerns, we find that the Canadian equivalent of Standards predicts Canadian stock market returns. Finally, we explore the source of predictability of Standards and show that Standards provides information about cash flow news.

Number of Pages in PDF File: 46

Keywords: Stock predictability, macroeconomics and financial markets, survey data

JEL Classification: E44, G12, G14, G17, G21

working papers series


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Date posted: March 19, 2010 ; Last revised: June 23, 2012

Suggested Citation

Chava, Sudheer, Park, Heungju and Gallmeyer, Michael F., Credit Conditions and Expected Stock Returns (May 15, 2010). Available at SSRN: http://ssrn.com/abstract=1571958 or http://dx.doi.org/10.2139/ssrn.1571958

Contact Information

Sudheer Chava
Georgia Institute of Technology - College of Management ( email )
800 West Peachtree St., NW
Atlanta, GA 30308-1149
United States
HOME PAGE: http://www.prism.gatech.edu/~schava6/
Heungju Park
Peking University - HSBC School of Business ( email )
University Town
Nanshan District
Shenzhen, Guang Dong 518055
China
Michael F. Gallmeyer (Contact Author)
University of Virginia (UVA) - McIntire School of Commerce ( email )
P.O. Box 400173
Charlottesville, VA 22904-4173
United States
434-243-4043 (Phone)
434-924-7074 (Fax)
HOME PAGE: http://www.commerce.virginia.edu/faculty_research/facultydirectory/Pages/Gallmeyer.aspx
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