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A Model of Price, Volume, and Sequential Information

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  • Gaiyan Zhang

    (College of Business Administration, University of MissouriĀ”XSt. Louis, U.S.A.)

Abstract

This paper models the relationship between price and volume by tracking their adjustment path and speed in a world with heterogeneous investors. Motivated by widely observed information leakage in the stock market and fast-growing electronic communication networks, the model features sequential information and direct order matching. I show that both the content and the dissemination speed of information are incorporated in price changes and volume accumulations simultaneously. A convergence trading strategy is proposed based on a joint statistic of price and volume, which should help to improve the timing of market entry and exit. The model offers an explanation for the mixed evidence on the relationship between price change and volume and provides several testable hypotheses.

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Bibliographic Info

Article provided by College of Business, and College of Finance, Feng Chia University, Taichung, Taiwan in its journal International Journal of Business and Economics.

Volume (Year): 6 (2007)
Issue (Month): 3 (December)
Pages: 207-223

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Handle: RePEc:ijb:journl:v:6:y:2007:i:3:p:207-223

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Related research

Keywords: price; volume; sequential information; convergence trading strategy; event study;

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References

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  1. Andrew W. Lo & Jiang W. Wang, 2000. "Trading Volume: Definitions, Data Analysis, and Implications of Portfolio Theory," NBER Working Papers 7625, National Bureau of Economic Research, Inc.
  2. Morse, Dale, 1980. "Asymmetrical Information in Securities Markets and Trading Volume," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 15(05), pages 1129-1148, December.
  3. Andrew W. Lo & Jiang Wang, 2001. "Trading Volume: Implications of An Intertemporal Capital Asset Pricing Model," NBER Working Papers 8565, National Bureau of Economic Research, Inc.
  4. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(01), pages 109-126, March.
  5. Tarun Chordia & Bhaskaran Swaminathan, 2000. "Trading Volume and Cross-Autocorrelations in Stock Returns," Journal of Finance, American Finance Association, vol. 55(2), pages 913-935, 04.
  6. Epps, Thomas W & Epps, Mary Lee, 1976. "The Stochastic Dependence of Security Price Changes and Transaction Volumes: Implications for the Mixture-of-Distributions Hypothesis," Econometrica, Econometric Society, vol. 44(2), pages 305-21, March.
  7. Morgan, I G, 1976. "Stock Prices and Heteroscedasticity," The Journal of Business, University of Chicago Press, vol. 49(4), pages 496-508, October.
  8. Richardson, Gordon & Sefcik, Stephan E. & Thompson, Rex, 1986. "A test of dividend irrelevance using volume reactions to a change in dividend policy," Journal of Financial Economics, Elsevier, vol. 17(2), pages 313-333, December.
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