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Predicting the Equity Premium with Dividend Ratios

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  • Amit Goyal
  • Ivo Welch

Abstract

Our paper suggests a simple recursive residuals (out-of-sample) graphical approach to evaluating the predictive power of popular equity premium and stock market time-series forecasting regressions. When applied, we find that dividend-ratios should have been known to have no predictive ability even prior to the 1990s, and that any seeming ability even then was driven by only two years, 1973 and 1974. Our paper also documents changes in the time-series processes of the dividends themselves and shows that an increasing persis-tence of dividend-price ratio is largely responsible for th

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File URL: http://icfpub.som.yale.edu/publications/2437
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Bibliographic Info

Paper provided by Yale School of Management in its series Yale School of Management Working Papers with number amz2437.

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Date of creation: 01 Apr 1999
Date of revision: 01 Nov 2002
Handle: RePEc:ysm:somwrk:amz2437

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Web page: http://icf.som.yale.edu/
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  2. Todd E. Clark & Michael McCracken, 1999. "Tests of Equal Forecast Accuracy and Encompassing for Nested Models," Computing in Economics and Finance 1999 1241, Society for Computational Economics.
  3. Owen Lamont, . "Earnings and Expected Returns," CRSP working papers 345, Center for Research in Security Prices, Graduate School of Business, University of Chicago.
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  6. Ravi Jagannathan & Ellen R. McGrattan & Anna Scherbina, 2001. "The Declining U.S. Equity Premium," NBER Working Papers 8172, National Bureau of Economic Research, Inc.
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  8. Robert F. Stambaugh, 1999. "Predictive Regressions," NBER Technical Working Papers 0240, National Bureau of Economic Research, Inc.
  9. John Y. Campbell & Luis M. Viceira, 1999. "Consumption And Portfolio Decisions When Expected Returns Are Time Varying," The Quarterly Journal of Economics, MIT Press, vol. 114(2), pages 433-495, May.
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  11. Lubos Pastor & Robert F. Stambaugh, . "The Equity Premium and Structural Breaks," Rodney L. White Center for Financial Research Working Papers 11-00, Wharton School Rodney L. White Center for Financial Research.
  12. Goetzmann, William Nelson & Jorion, Philippe, 1993. " Testing the Predictive Power of Dividend Yields," Journal of Finance, American Finance Association, vol. 48(2), pages 663-79, June.
  13. John H Cochrane, 2003. "Where is the Market Going: Uncertain Facts and Novel Theories," Levine's Working Paper Archive 618897000000000762, David K. Levine.
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  15. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
  16. Brennan, Michael J. & Schwartz, Eduardo S. & Lagnado, Ronald, 1997. "Strategic asset allocation," Journal of Economic Dynamics and Control, Elsevier, vol. 21(8-9), pages 1377-1403, June.
  17. Hodrick, Robert J, 1992. "Dividend Yields and Expected Stock Returns: Alternative Procedures for Inference and Measurement," Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 357-86.
  18. Charles M. C. Lee & James Myers & Bhaskaran Swaminathan, 1999. "What is the Intrinsic Value of the Dow?," Journal of Finance, American Finance Association, vol. 54(5), pages 1693-1741, October.
  19. Nelson, Charles R & Kim, Myung J, 1993. " Predictable Stock Returns: The Role of Small Sample Bias," Journal of Finance, American Finance Association, vol. 48(2), pages 641-61, June.
  20. Jonathan Lewellen & Jay Shanken, 2000. "Estimation Risk, Market Efficiency, and the Predictability of Returns," NBER Working Papers 7699, National Bureau of Economic Research, Inc.
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