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On the Presence of Speculative Bubbles in Stock Prices

Published online by Cambridge University Press:  06 April 2009

Hashem Dezhbakhsh  and
Asli Demirguc-Kunt
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Abstract

We examine empirically the existence of speculative bubbles in U.S. stock prices and, by building on West's procedure, propose direct and computationally simple tests of the “nobubble” hypothesis. These tests are likely to be close to their nominal size in small samples and to have small sample power against a wide class of bubbles including those orthogonal to the dividend process. We apply the tests to long-term annual U.S. stock market data for the 1871–1981 and 1871–1988 periods. Contrary to West, we do not reject the “no-bubble” hypothesis. We offer an explanation as to the cause of discrepancy between the two results.

Type
Research Article
Information
Journal of Financial and Quantitative Analysis , Volume 25 , Issue 1 , March 1990 , pp. 101 - 112
Copyright
Copyright © School of Business Administration, University of Washington 1990

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References

Blanchard, O. J., and Watson, M. W.. “Bubbles, Rational Expectations and Financial Markets.” In Crises in Economic and Financial Structure, Wachtel, P., ed. Lexington, MA: Lexington Books (1982), 295–315.Google Scholar
Box, G., and Jenkins, H. M.. Time Series Analysis: Forecasting and Control. San Francisco, CA: Holden Day (1976).Google Scholar
Box, G., and Pierce, D. A.. “Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models.” Journal of the American Statistical Association, 65 (12 1970), 1509–1526.CrossRefGoogle Scholar
Campbell, J. Y., and Shiller, R. J.. “Cointegration and Tests of Present Value Models.” Journal of Political Economy, 95 (10 1987), 1062–1088.CrossRefGoogle Scholar
Davidson, R.; Godfrey, L.; and MacKinnon, J. G.. “A Simplified Version of the Differencing Test.” International Economic Review, 26 (10 1985), 639–647.CrossRefGoogle Scholar
Diba, B. T. “Bubbles and Stock Price Volatility.” Federal Reserve Bank of St. Louis Conference on the Stock Market (10 1988).Google Scholar
Diba, B. T., and Grossman, H. I.. “Explosive Rational Bubbles in Stock Prices?” American Economic Review, 78 (06 1988), 520–530.Google Scholar
Flood, R. P., and Hodrick, R.. “Asset Price Volatility, Bubbles, and Process Switching.” Journal of Finance, 41 (09 1986), 831–842.CrossRefGoogle Scholar
Flood, R. P.; Hodrick, R.; and Kaplan, P.. “An Evaluation of Recent Evidence on Stock Market Bubbles.” Unpublished manuscript (1986).CrossRefGoogle Scholar
Flood, R. P., and Garber, P. M.. “Bubbles, Runs, and Gold Monetization.” In Crises in Economics and Financial Structure, Wachtel, P., ed. Lexington, MA: Lexington Books (1982), 275–293.Google Scholar
Gregory, A. W., and Veall, M. R.. “Formulating Wald Tests of Nonlinear Restrictions.” Econometrica, 53 (11 1985), 1465–1468.CrossRefGoogle Scholar
Grossman, S. J., and Shiller, R. J.. “The Determinants of the Variability of Stock Prices.” American Economic Review, 71 (05 1981), 222–227.Google Scholar
Hamilton, J. D. “On Testing for Self-Fulfilling Speculative Price Bubbles.” International Economic Review, 27 (10 1986), 545–552.CrossRefGoogle Scholar
Hamilton, J. D., and Whiteman, C. H.. “The Observable Implications of Self-Fulfilling Expectations.” Journal of Monetary Economics, 16 (11 1985), 353–373.CrossRefGoogle Scholar
Hannan, E. J., and Quinn, B. G.. “The Determination of the Order of an Autoregression.” Journal of the Royal Statistical Society, 41B (08 1979), 190–195.Google Scholar
Hansen, L. P. “Large Sample Properties of Generalized Method of Moments Estimators.” Econometrica, 50 (07 1982), 1029–1054.CrossRefGoogle Scholar
Hansen, L. P., and Sargent, T. J.. “Formulating and Estimating Dynamic Linear Rational Expectations Models.” In Rational Expectations and Econometric Practice, Lucas, R. E. Jr, and Sargent, T. J., eds. Minneapolis, MN: Univ. of Minnesota Press (1981), 91–126.Google Scholar
Hausman, J. A. “Specification Tests in Econometrics.” Econometrica, 46 (11 1978), 1251–1271.CrossRefGoogle Scholar
Hausman, J. A., and Taylor, W. E.. “Comparing Specification Tests and Classical Tests.” MIT Working Paper # 266 (08 1980).Google Scholar
Holly, A. “A Remark on Hausman's Specification Test.” Econometrica, 50 (05 1982), 749–759.CrossRefGoogle Scholar
Kleidon, A. W. “Variance Bounds Tests and Stock Price Variation Models.” Journal of Political Economy, 94 (10 1980), 953–1001.CrossRefGoogle Scholar
Lafontaine, F., and White, K. J.. “Obtaining Any Wald Statistics You Want.” Economic Letters, 21 (1986), 35–40.CrossRefGoogle Scholar
LeRoy, S. F., and Porter, R. D.. “The Present-Value Relation: Tests Based on Implied Variance Bounds.” Econometrica, 49 (05 1981), 555–574.CrossRefGoogle Scholar
Ljung, G. M., and Box, G. E. P.. “On a Measure of Lack of Fit in Time Series Models.” Biometrika, 65 (08 1978), 297–303.CrossRefGoogle Scholar
Marsh, T. A., and Merton, R. C.. “Dividend Variability and Variance Bounds Tests for the Rationality of Stock Market Prices.” American Economic Review, 76 (06 1986), 1429–1445.Google Scholar
Phillips, P. C. B., and Park, J. Y.. “On the Formulation of Wald Test of Nonlinear Restriction.” Econometrica, 56 (07 1988), 1065–1083.CrossRefGoogle Scholar
Plosser, C. I.; Schwert, G. W.; and White, H.. “Differencing as a Test of Specification.” International Economic Review, 23 (10 1982), 535–552.CrossRefGoogle Scholar
Ramsey, J. B. “Tests for Specification Errors in Classical Linear Least Squares Regression Analysis.” Journal of the Royal Statistical Society, 31B (12 1969), 350–371.Google Scholar
Santoni, G. J. “The Great Bull Markets 1924–29 and 1982–87: Speculative Bubbles or Economic Fundamentals?” Federal Reserve Bank of St. Louis (11. 1987), 16–30.Google Scholar
Savin, N. E. “The Bonferroni and the Scheffe Multiple Comparison Procedures.” Review of Economic Studies, 41 (04 1980), 255–273.CrossRefGoogle Scholar
Shiller, R. J. “Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends?” American Economic Review, 71 (06 1981), 421–436.Google Scholar
Shiller, R. J. “Stock Prices and Social Dynamics.” Brookings Papers on Economic Activity (1984), 457–498.CrossRefGoogle Scholar
Thursby, J. G. “A Comparison of Several Specification Error Tests for a General Alternative.” International Economic Review, 30 (12 1989), 217–230.CrossRefGoogle Scholar
Thursby, J. G., and Schmidt, P.. “Some Properties of Tests for Specification Error in a Linear Regression Model.” Journal of the American Statistical Association, 72 (09 1977), 635–641.CrossRefGoogle Scholar
West, K. D. “A Specification Test for Speculative Bubbles.” Princeton Univ. Working Paper #58 (04 1985).Google Scholar
West, K. D. “A Specification Test for Speculative Bubbles.” Quarterly Journal of Economics, 102 (08 1987), 553–580.CrossRefGoogle Scholar
West, K. D.. “Bubbles, Fads and Stock Price Volatility Tests: A Partial Evaluation.” Journal of Finance, 43 (07 1988a), 636–661.CrossRefGoogle Scholar
West, K. D.. “Asymptotic Normality, When Regressors Have a Unit Root.” Econometrica, 56 (11 1988b), 1397–1417.CrossRefGoogle Scholar