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Trading Volume and Information Revelation in Stock Market

Published online by Cambridge University Press:  06 April 2009

Matti Suominen
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Abstract

I consider a market microstructure model in which the rates of public and private information arrival are probabilistic. The latter depends on the availability of private information that is stochastically changing over time. In equilibrium, traders estimate the availability of private information using past priods' trading volume and use this information to adjust their strategies. The time-series properties include contemporaneous correlation between price variability and volume and autocorrelation in price variability (similar to GARCH). The model explains why trading volume contains useful information for predicting volatility and provides predictions on the limit and market order placement strategies of traders.

Type
Research Article
Information
Journal of Financial and Quantitative Analysis , Volume 36 , Issue 4 , December 2001 , pp. 545 - 565
Copyright
Copyright © School of Business Administration, University of Washington 2001

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References

Andersen, T. “Return Volatility and Trading Volume: An Information Flow Intrpretation of Stoshastic Volatility.” Journal of Finance, 51 (1996),169–204.CrossRefGoogle Scholar
Bernardo, A. E., and Judd, K. L.. “Volume and Price Formation in an Asset Trading Model with Asymmetric Information.” Mimeo, Univ.of Calfornia at Los Angeles and Stanford Univ. (1999).Google Scholar
Blume, L.; Easley, D.; and O'Hara, M.. “Market Statistics and Technical Analysis: The Role of Volume.” Journal of Finance,49,(1994),153–181.CrossRefGoogle Scholar
Bollerslev, T.; Chou, R. Y.; and Kroner, K. F. “ARCH Modeling in Finance.” Journal of Econometrics, 52(1992), 5–59.CrossRefGoogle Scholar
Brock, W. A., and LeBaron, B. D.. “A Dynamic Structural Model for Stock Return Volatility and Trading Volume.” Review of Economics and Statistics, 78 (1996), 94–110.CrossRefGoogle Scholar
Campbell, J.; Grossman, S. j.; and Wang, J.. “Trading Volume and Serial Correlation in Stock Returns.” Quarterly Journal of Economics, 108 (1993), 905–939.CrossRefGoogle Scholar
Clark, P. “A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices.” Econometrica, 41 (1973),135–155.CrossRefGoogle Scholar
Cutler, D.; Poterba, J.; and Summers, L.. “What Moves Stock Prices?” Journal of portfolio Management, 15 (1989), 4–12.CrossRefGoogle Scholar
DeGennaro, R., and Shrieves, R.. “Public Information Releases, Private Information Arrival and volatility in the Foreign Exchange Market.” Journa of Empirical Finance, 4 (1997), 295–315.CrossRefGoogle Scholar
Dutta, P. K., and Madhavan, A.. “Endogenous Trading and Volatility Clustering.” Working Paper, Columbia Univ. and Univ. of Southern California (1998).Google Scholar
de Fontnouvelle, P. “Stock Returns and Trading volumes: A Structural Explanation of the Empirical Regularities.” A Paper presented at the Econometric Society's summer meeting in Iowa (1996).Google Scholar
Foster, D. F., and Viswanathan, S.. “A Theory of Intraday Variations in Volume, Variance and Trading Costs in Securities Markets.” Review of Financial Studies, 6 (1990), 23–56.CrossRefGoogle Scholar
Foster, D. F., and Viswanathan, S.. “Can Speculative Trading Explain the Volume-Volatility Relation?” Journal of Business & Economics Statistics, 13 (1995), 379–396.Google Scholar
Gallant, A. R.,; Rossi, P.; and Tauchen, G.. “Stock Prices and Volume.” Review of Financial Studies, 5 (1992), 199–242.CrossRefGoogle Scholar
Grundy, B., and McNichols, M.. “Trade and Revelation of Information through Prices and Direct Disclosure.” Review of Financial Studies, 2 (1989), 495–526.CrossRefGoogle Scholar
Harris, M., and Raviv, A.. “Differences in Opinion Make a Horse Race.” Review of Financial Studies, 6 (1993), 473–506.CrossRefGoogle Scholar
Jones, C.; Kaul, G.; Lipson, M.. “Transactions, Volumes and Volatility.” Review of Financial Studies, 7 (1994), 631–651.CrossRefGoogle Scholar
Kandel, E., and Pearson, N.. “Differential Interpretation of Public Information and Trade in Speculative Markets.” Journal of Political Economy, 103 (1995), 831–872.CrossRefGoogle Scholar
Karpoff, J. “The Relation between Price Changes and Trading Volume: A Survey.” Journal of Financial and Quantitative Analysis, 22 (1987), 109–126.CrossRefGoogle Scholar
Kim, O., and Verrecchia, R.. “Returns and Trading Volume.” Mimeo, Univ. of Maryland and and Univ. of Pennsylvania (2000).Google Scholar
Lamoureux, C., and Lastrapes, W.. “Heteroskedasticity in Stock Return Data: Volume versus GARCH Effects.” Journal of Finance, 45 (1990), 221–229.CrossRefGoogle Scholar
Milgrom, P., and Stokey, N.. “Information, Trade and Common Knowledge.” Journal of Economic Theory, 26 (1982), 17–27.CrossRefGoogle Scholar
Seppi, D. “Block Trading and information Revelation around Quarterly Earnings Announcements.” Review of Financial Studies, 5 (1992), 281–305.CrossRefGoogle Scholar
Shalen, C. “Volume, Volatility, and the Dispertion of Beliefs.” Review of Financial Studies, 6 (1993), 405–434.CrossRefGoogle Scholar
Wang, J. “A Model of Competative Stock Trading Volume.” Journal of Political Economy, 102 (1994), 127–168.CrossRefGoogle Scholar