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Stock Market Forecastability and Volatility: A Statistical Appraisal

  • N. Gregory Mankiw
  • David H. Romer
  • Matthew D. Shapiro

This paper presents and implements statistical tests of stock market forecastability and volatility that are immune from the severe statistical problems of earlier tests. Although the null hypothesis of strict market efficiency is rejected, the evidence against the hypothesis is not overwhelming. That is, the data do not provide evidence of gross violations of the conventional valuation model.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 3154.

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Date of creation: Oct 1989
Date of revision:
Publication status: published as Review of Economic Studies, Vol. 58, No. 3, pp. 455-477, May 1991.
Handle: RePEc:nbr:nberwo:3154
Note: ME
Contact details of provider: Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
Phone: 617-868-3900
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  1. Flood, Robert P & Hodrick, Robert J, 1986. " Asset Price Volatility, Bubbles, and Process Switching," Journal of Finance, American Finance Association, vol. 41(4), pages 831-42, September.
  2. Whitney K. Newey & Kenneth D. West, 1986. "A Simple, Positive Semi-Definite, Heteroskedasticity and AutocorrelationConsistent Covariance Matrix," NBER Technical Working Papers 0055, National Bureau of Economic Research, Inc.
  3. Kleidon, Allan W, 1986. "Variance Bounds Tests and Stock Price Valuation Models," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 953-1001, October.
  4. Scott, Louis O, 1985. "The Present Value Model of Stock Prices: Regression Tests and Monte Carlo Results," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 599-605, November.
  5. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
  6. Robert J. Shiller & Pierre Perron, 1985. "Testing the Random Walk Hypothesis: Power versus Frequency of Observation," NBER Technical Working Papers 0045, National Bureau of Economic Research, Inc.
  7. Mankiw, N Gregory & Romer, David & Shapiro, Matthew D, 1985. " An Unbiased Reexamination of Stock Market Volatility," Journal of Finance, American Finance Association, vol. 40(3), pages 677-87, July.
  8. Merton, Robert C., 1985. "On the current state of the stock market rationality hypothesis," Working papers 1717-85., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  9. Marsh, Terry A & Merton, Robert C, 1986. "Dividend Variability and Variance Bounds Tests for the Rationality ofStock Market Prices," American Economic Review, American Economic Association, vol. 76(3), pages 483-98, June.
  10. Kim, M.J. & Nelson, C.R. & Startz, R., 1988. "Mean Reversion In Stock Prices? A Reappraisal Of Empirical Evidence," Discussion Papers in Economics at the University of Washington 88-15, Department of Economics at the University of Washington.
  11. Peter C.B. Phillips, 1986. "Regression Theory for Near-Integrated Time Series," Cowles Foundation Discussion Papers 781R, Cowles Foundation for Research in Economics, Yale University, revised Jan 1987.
  12. Ackley, Gardner, 1983. "Commodities and Capital: Prices and Quantities," American Economic Review, American Economic Association, vol. 73(1), pages 1-16, March.
  13. West, Kenneth D, 1987. "A Specification Test for Speculative Bubbles," The Quarterly Journal of Economics, MIT Press, vol. 102(3), pages 553-80, August.
  14. Kenneth D. West, 1986. "Dividend Innovations and Stock Price Volatility," NBER Working Papers 1833, National Bureau of Economic Research, Inc.
  15. LeRoy, Stephen F & Porter, Richard D, 1981. "The Present-Value Relation: Tests Based on Implied Variance Bounds," Econometrica, Econometric Society, vol. 49(3), pages 555-74, May.
  16. Summers, Lawrence H, 1986. " Does the Stock Market Rationally Reflect Fundamental Values?," Journal of Finance, American Finance Association, vol. 41(3), pages 591-601, July.
  17. White, Halbert & Domowitz, Ian, 1984. "Nonlinear Regression with Dependent Observations," Econometrica, Econometric Society, vol. 52(1), pages 143-61, January.
  18. N. Gregory Mankiw & Matthew D. Shapiro, 1985. "Do We Reject Too Often? Small Sample Bias in Tests of Rational Expectations," Cowles Foundation Discussion Papers 743, Cowles Foundation for Research in Economics, Yale University.
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