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Stock Market Forecastability and Volatility: A Statistical Appraisal

  • Mankiw, N Gregory
  • Romer, David
  • Shapiro, Matthew D

This paper presents and implements statistical tests of stock-market forecastability and volatility that are immune from the severe statistical problems of earlier tests. It finds that although the null hypothesis of market efficiency is rejected, the rejections are only marginal. The paper also shows how volatility tests and recent regression tests are closely related, and demonstrates that when finite sample biases are taken into account, regression tests also fail to provide strong evidence of violations of the conventional valuation model. Copyright 1991 by The Review of Economic Studies Limited.

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Article provided by Wiley Blackwell in its journal Review of Economic Studies.

Volume (Year): 58 (1991)
Issue (Month): 3 (May)
Pages: 455-77

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Handle: RePEc:bla:restud:v:58:y:1991:i:3:p:455-77
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  1. Robert P. Flood & Robert J. Hodrick, 1986. "Asset Price Volatility, Bubbles, and Process Switching," NBER Working Papers 1867, National Bureau of Economic Research, Inc.
  2. 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.
  3. Ackley, Gardner, 1983. "Commodities and Capital: Prices and Quantities," American Economic Review, American Economic Association, vol. 73(1), pages 1-16, March.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. West, Kenneth D, 1988. "Dividend Innovations and Stock Price Volatility," Econometrica, Econometric Society, vol. 56(1), pages 37-61, January.
  10. Marsh, Terry A. & Merton, Robert C., 1984. "Dividend variability and variance bounds tests for the rationality of stock market prices," Working papers 1584-84., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  11. 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.
  12. 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.
  13. White, Halbert & Domowitz, Ian, 1984. "Nonlinear Regression with Dependent Observations," Econometrica, Econometric Society, vol. 52(1), pages 143-61, January.
  14. 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.
  15. 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.
  16. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
  17. Kenneth D. West, 1986. "A Specification Test for Speculative Bubbles," NBER Working Papers 2067, National Bureau of Economic Research, Inc.
  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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