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One Simple Test of Samuelson's Dictum for the Stock Market

Jeeman Jung
Sangmyung University - Division of Economics & International Trade

Robert J. Shiller
Yale University - Cowles Foundation; National Bureau of Economic Research (NBER); Yale University - International Center for Finance


November 2002

Cowles Foundation Discussion Paper No. 1386; Yale ICF Working Paper No. 02-39

Abstract:     
Samuelson (1998) offered the dictum that the stock market is "micro efficient" but "macro inefficient." That is, the efficient markets hypothesis works much better for individual stocks than it does for the aggregate stock market. In this paper, we present one simple test, based both on regressions and on a simple scatter diagram that vividly illustrates that there is some truth to Samuelson's dictum. The data comprise all U.S. firms on the CRSP tape that have survived since 1926.

Keywords: Market Efficiency, Random Walk, Dividend Yield, Dividend Price Ratio, Present Value, Excess Volatility, Gordon Model

JEL Classifications: G14

Working Paper Series

Date posted: November 04, 2002 ; Last revised: November 27, 2003

Suggested Citation

Jung, Jeeman and Shiller, Robert J., One Simple Test of Samuelson's Dictum for the Stock Market (November 2002). Cowles Foundation Discussion Paper No. 1386; Yale ICF Working Paper No. 02-39. Available at SSRN: http://ssrn.com/abstract=348180


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Contact Information

Robert J. Shiller (Contact Author)
Yale University - Cowles Foundation ( email )
Box 208281
New Haven, CT 06520-8281
United States
203-432-3708 (Phone)
203-432-6167 (Fax)
HOME PAGE: http://www.econ.yale.edu/~shiller/
National Bureau of Economic Research (NBER) ( email )
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
203-432-3708 (Phone)
Yale University - International Center for Finance ( email )
Box 208200
New Haven, CT 06520
United States
203-432-3708 (Phone)
203-432-6167 (Fax)
Jeeman Jung
Sangmyung University - Division of Economics & International Trade ( email )
7 Hongjidong, Jongro-ku
110-743 Seoul Korea
Feedback to SSRN (Beta)


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