Asia Pacific Journal of Management

, Volume 7, Issue 2, pp 25–42 | Cite as

Price changes and trading volume relationship in the Hong Kong stock market

  • K. Lam
  • W. K. Li
  • P. S. Wong


Studies on the relationship between price changes and trading volume can provide insight into the structure of the financial market. In this paper, we will study the above topic and concentrate on the stock market of Hong Kong. The correlation between price changes and trading volume as well as that between the magnitude of price changes and trading volume will be examined. We will also check the asymmetry of the price changes and volume relationship. Moreover, we will investigate the relationship between the variance of return and trading volume. Finally, the Granger causality test of price changes and volume will be performed.


Stock Market Financial Market Price Change Trading Volume Granger Causality 
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  1. Chan, A., (1989) “Statistical Modelling of Stock Price and Its Traded Volume,” Student project, Department of Statistics, University of Hong Kong.Google Scholar
  2. Choi, C.S., (1989), “Modelling the Fat Tail Distribution of Security Market Returns,” M.Soc.Sc. dissertation, Department of Statistics, University of Hong Kong.Google Scholar
  3. Clark, P.K., (1973), “A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices,”Econometrica Vol. 41, pp. 135–55.Google Scholar
  4. Cleveland, W.S., (1979), “Robust Locally Weighted Regression and Smoothing Scatter-plots,”Journal of the American Statistical Association Vol. 74, pp. 829–836.Google Scholar
  5. Comiskey, E.E., R.A. Walkling and M.A. Weeks, (1984), “Dispersion of Expectations and Trading Volume,” Working paper, GA Inst. of Tech.Google Scholar
  6. Epps. T.W., and M.L. Epps, (1976), “The Demand for Brokers' Services: The Relation between Security Trading Volume and Transaction Cost,”Bell Journal of Economics Vol. 7, pp. 163–194.Google Scholar
  7. Granger, C.W.J., and O. Morgenstern, (1970),Predictability of Stock Market Prices, Lexington Mass. D.C. Health & Co.Google Scholar
  8. Judge, George G., W.E. Griffiths, R.Carter Hill, Helmut Lutkepohl and Tsoungchao Lee, (1985),The Theory and Practice of Econometrics, 2nd Ed., John Wiley and Sons, Inc.Google Scholar
  9. Granger, C.W.J., and P. Newbold, (1986),Forecasting Economic Time Series, 2nd Ed., Academic Press Inc.Google Scholar
  10. Karpoff, J.M., (1988) “Costly Short Sales and the Correlation of Returns with Volume,”The Journal of Financial Research Vol. XI, No. 3, pp. 173–187.Google Scholar
  11. Karpoff, J.M., (1987), “The Relation between Price Changes and Trading Volume, A Survey,”Journal of Financial and Quantitative Analysis, pp. 109–126.Google Scholar
  12. Morgan, I.G., (1976), “Stock Prices and Heteroskedasticity,”Journal of Business Vol. 49, pp. 496–508.CrossRefGoogle Scholar
  13. Osborne, M.F.M., (1962), “Periodic Structure in the Brownian Motion of Stock Prices,”Operations Research, Vol. 10, pp. 345–79.Google Scholar
  14. Richardson, Sefcik, and Thomson, (1986), “A Test of Dividend Irrelevance Using Volume Reactions to a Change in Dividend Policy,”Journal of Financial Economics Vol. 17, pp. 313–333.CrossRefGoogle Scholar
  15. Rogalski, R.J., (1978), “The Dependence of Prices and Volume,”The Review of Economic and Statistics Vol. 36, pp. 268–274.Google Scholar
  16. Tauchen, G., and M. Pitts, (1983), “The Price Variability-Volume Relationship on Speculative Markets,”Econometrica Vol. 51, pp. 485–505.Google Scholar
  17. Ying, C.C., (1966), “Stock Market Prices and Volumes of Sales,”Econometrica Vol. 34, pp. 676–686.Google Scholar

Copyright information

© School of Management National University of Singapore 1990

Authors and Affiliations

  • K. Lam
    • 1
  • W. K. Li
    • 1
  • P. S. Wong
    • 1
  1. 1.the Department of Statistics of University of Hong KongChina

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