Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-15T06:23:46.622Z Has data issue: false hasContentIssue false

Stock Market Volatility in a Heterogeneous Information Economy

Published online by Cambridge University Press:  06 April 2009

Bruce D. Grundy
Affiliation:
b.grundy@mbs.unimelb.edu.au, Melbourne Business School, University of Melbourne, 200 Leicester St., Carlton, Victoria 3053, Australia
Youngsoo Kim
Affiliation:
youngsoo.kim@uregina.ca, Faculty of Administration, University of Regina, 3737 Wascana Parkway, Regina, SK S4S 0A2, Canada.

Abstract

The informational role of prices contributes positively to their variability. In a noisy rational expectations equilibrium, traders rationally respond to price changes by revising their estimates of other traders' private signals and hence their own expectations of future dividends. The resultant shifts in traders' demands amplify any supply shock-induced price changes. We develop an infinite horizon noisy rational expectations model and calibrate, simulate, and test it using U.S. stock market data. The price variability in a heterogeneous information economy is shown to be 20% to 46% higher than in an otherwise equivalent economy in which all signals are publicly announced.

Type
Research Article
Copyright
Copyright © School of Business Administration, University of Washington 2002

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bamber, L. S.; Barron, O. E.; and Stober, T. L.. “Differential Interpretations and Trading Volume.” Journal of Financial and Quantitative Analysis, 34 (1999), 369386.CrossRefGoogle Scholar
Campbell, J. Y., and Kyle, A. S.Smart Money, Noise Trading and Stock Price Behavior.” Review of Economic Studies, 60 (1993), 134.Google Scholar
Campbell, J. Y., and Shiller, R. J.. “Stock Prices, Earnings and Expected Dividends.” Journal of Finance, 3 (1988), 661676.Google Scholar
Cochrane, J. H.Volatility Tests and Efficient Markets: A Review Essay.” Journal of Monetary Economics, 27 (1991), 463485.Google Scholar
Diamond, D. W., and Verrecchia, R. E.. “Information Aggregation in a Noisy Rational Expectations Economy.” Journal of Financial Economics, 9 (1981), 221235.CrossRefGoogle Scholar
Giles, C., and LeRoy, S.. “Econometric Aspects of the Variance-Bounds Tests: A Survey.” Review of Financial Studies, 4 (1991), 753791.CrossRefGoogle Scholar
Grundy, B. D., and McNichols, M.. “Trade and Revelation of Information through Prices and Direct Disclosures.” Review of Financial Studies, 2 (1989), 495526.Google Scholar
Hansen, L. P.Large Sample Properties of Generalized Method of Moments Estimators.” Econometrica, 50 (1982), 10291054.CrossRefGoogle Scholar
Kandel, E., and Pearson, N. D.. “Differential Interpretation of Public Signals and Trade in Speculative Markets.” Journal of Political Economy, 103 (1995), 831872.CrossRefGoogle Scholar
Kandel, S., and Stambaugh, R. F.Asset Returns and Intertemporal Preferences.” Journal of Monetary Economics, 27 (1991), 3971.Google Scholar
Kocherlakota, N. R.On Tests of Representative Consumer Asset Pricing Models.” Journal of Monetary Economics, 26 (1990), 285304.CrossRefGoogle Scholar
LeRoy, S. F., and Porter, R. D.. “The Present-Value Relations: Tests Based on Implied Variance Bounds.” Econometrica, (1981), 555574.CrossRefGoogle Scholar
Lewellen, J., and Shanken, J.. “Estimation Risk, Market Efficiency, and the Predictability of Stock Returns.” Working Paper, Univ. of Rochester (2000).CrossRefGoogle Scholar
Liptser, R. S., and Shiryayev, A. N.. Statistics of Random Processess II: Applications. New York, NY: Springer-Verlag (1978).Google Scholar
Lucas, R. E.Asset Prices in an Exchange Economy.” Econometrica, 46 (1978), 14291445.Google Scholar
Shiller, R. J.Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends?American Economic Review, 71 (1981), 421436.Google Scholar
Wang, J.A Model of Intertemporal Asset Prices under Asymmetric Information.” Review of Economic Studies, 60 (1993), 249282.Google Scholar