Futures Price and Trading Volume: Evidence From Malaysia

Authors

  • Bakri Abdul Karim Faculty of Economics and Business, Universiti Malaysia Sarawak, Malaysia
  • Zulkefly Abdul Karim Faculty of Economics and Management Universiti Kebangsaan Malaysia, Malaysia

DOI:

https://doi.org/10.32890/mmj2011.15.2

Keywords:

Futures price, trading volume, Malaysia

Abstract

This paper examines the long- and short-run dynamic causality between the futures price and trading volume in the Malaysian equity market. The data of futures price, trading volume and spot price are in daily frequency, spanning from 2006 to 2009. By using ARDL cointegration and VECM causality tests, the findings revealed the existence of long-run relationship between futures price, volume and spot prices. In addition, there exists a short-run bidirectional causality relationship running between futures return-trading volume and futures return-spot return. Thus, the stock index futures market in Malaysia is not informational efficient.

 

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References

Akaike, H. (1974). A new look at the statistics model identification. IEEE Transactions on Atomic Control AC, 19, 716–723.

Arshanapalli, B., & Doukas. J. (1997). The linkages of S&P 500 stock index and S&P 500 stock index futures prices during October 1987. Journal of Economics and Business, 49(3), 253–266.

Bacha, O. I. (2006). Financial derivatives: Markets and applications in Malaysia. Kuala Lumpur: McGraw Hill.

Bhagat, S., & Bhatia, S. (1996). Trading volume and price variability: Evidence on lead-lag relations from Granger-causality tests. Working Paper, University of Colorado at Boulder.

Bessembinder, H., & Segun, P. J. (1995). Futures-trading activity and stock price volatility. The Journal of Finance, 47(5), 2015–2034.

Blume, E., Easley, D., & O’hara, M. (1994). Market statistics and technical analysis: The role of volume. Journal of Finance, 49, 153–181.

Brailsford, T. J. (1996). The empirical relationship between trading volume, returns, and volatility. Accounting and Finance, 36(1), 89–111.

Bursa Malaysia Derivatives Berhad. (2010). Bursa Malaysia Derivatives Berhad (Annual Report). Kuala Lumpur. http://mmj.uum.edu.my

Chordia, T., & Swaminathan, B. (2000). Trading volume and crossautocorrelations in stock returns. The Journal of Finance, 55 (2), 913–935.

Clark, P. K. (1973). A subordinated stochastic process model with finite variance for speculative prices. Econometrica, 41(1), 135–155.

Copeland, T. E. (1976). A model of asset trading under the assumption of sequential information arrival. Journal of Finance, 31, 1149–1168.

Crouch, R. (1970). The volume of transaction and price changes on the New York Stock Exchange. Financial Analysts Journal, 26(4),104–109.

Dwyer, G. P., & Wallace, M. S. (1992) Cointegration and market efficiency. Journal of International Money and Finance, 11(4), 318–327.

Engle, R. F., & Granger, C. W. J. (1987). Cointegration and error correction: Representation, estimation, and testing, Econometrica, 55, 251–276.

Epps, T. W., & Epps, M. L. (1976). The stochastic dependence of security price changes and transaction volumes: Implications for the mixture-of-distributions hypothesis. Econometrica, 44(2), 305–321.

French, K. R. (1986). Detecting spot price forecasts in futures prices. The Journal of Business, 59(2), 39–54.

Granger, C. W. J. (1988). Some recent developments in a concept of causality. Journal of Econometrics, 39, 199–211.

Granger, C. W. J., & Morgenstern, O. (1963). Spectral analysis of New York stock market prices. Kyklos, 16(1), 1–27.

Gunduz, L., & Hatemi-J, A. N. (2005). Stock price and volume relation in emerging markets. Emerging Markets Finance and Trade, 41(1), 29–44.

Hameed, A., & Ting, S. (2000). Trading volume and short-horizon contrarian profits: Evidence from the Malaysian market. Pacific-Basin Finance Journal, 8, 67–84.

Hiemstra, C., & Jones, J. D. (1995). Testing for linear and non-linear Granger causality in the stock price-volume relation. Journal of Finance, 49, 1639–1664.

Johansen, J., & Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration with applications to the demand for money. Oxford Bulletin of Economics and Statistics, 52, 169–210.

Kamath, R. R. (2009). The price-volume relationship in the Chilean stock market. International Business & Economics Research Journal, 7(10), 7–14.

Karpoff, J. M. (1987). The relation between price changes and trading volume: A survey. Journal of Financial and Quantitative Analysis, 22(1), 109–126.

Kasa, K. (1992). Common stochastic trends in international stock markets. Journal of Monetary Economics, 29, 95–124.

Laurenceson, J., & Chai, J. C. H. (2003). Financial reform and economic development in China. Cheltenham, UK: Edward Elgar.

Lee, B. S., & Rui, O. M. (2002). The dynamic relationship between stock returns and trading volume: Domestic and cross-country evidence. Journal of Banking and Finance, 26, 51–78.

Lence, S., & Falk, B. (2005). Cointegration, market integration, and market efficiency. Journal of International Money and Finance, 24(6), 873–890. http://mmj.uum.edu.my

Long, D. M. (2007). An examination of the price-volume relationship in the option markets. International Research Journal of Finance and Economics, 10, 47–56.

Masih, A. M. M., & Masih, R. (1999). Are Asian stock market fluctuations due mainly to intra-regional contagion effects? Evidence based on Asian emerging stock markets. PacificBasin Finance Journal, 7, 251–82.

Mohamad, S., & Nassir, A. M. (1995). Price changes and trading volume relationship: Some preliminary evidence from the Kuala Lumpur Stock Exchange. Pertanika Journal of Social Sciences and Humanities, 3(2), 147–154.

Moosa, I. A., & Al-Loughani, A. E. (1995). Testing the price-volume relation in emerging Asian stock markets. Journal of Asian economics, 6(3), 407–422.

Mougoue, M. (2010). A dynamic analysis of the volume-return relationship in the Japanese stock market. Department of Finance, Wayne State University.

Pesaran, M. H., & Shin, Y. (1995). An autoregressive distributed lag modeling approach to cointegration analysis. DAE Working Paper No. 9514, Department of Applied Economics, University of Cambridge.

Pesaran, M. H., & Shin, Y. (1998). Generalised impulse response analysis in linear multivariate models. Economics Letters, 58, 17–29.

Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bound testing approaches to the analysis of level relationship. Journal of Applied Econometrics, 16, 289–326. Pizzi, M. A., Economopoulos, A. J., & O’neill,

H. M. (1998). An examinations of the relationship between stock index cash and futures markets: A cointegration approach. Journal of Futures Markets, 18(3), 297–305.

Saatcioglu, K., & Starks, L. T. (1998). The stock price-volume relationship in emerging stock markets: The case of Latin America. International Journal of Forecasting, 14(2), 215–225.

Tauchen, G. E., & Pitts, M. (1983). The price volatility-volume relationship on speculative markets. Econometrica, 51(2), 485–505.

Toda, H. Y., & Phillips, P. C. B. (1993). Vector auto-regressions and causality. Econometrica, 61, 1367–1393.

Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1), 225–250.

Ying, C. C. (1966). Stock market prices and volumes of sales. Econometrica, 34(3), 676–685.

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Published

01-12-2011

Issue

Vol. 15 (2011): Malaysian Management Journal (MMJ) Vol. 15, 2011

Section

Articles

How to Cite

Abdul Karim, B., & Abdul Karim, Z. (2011). Futures Price and Trading Volume: Evidence From Malaysia. Malaysian Management Journal, 15, 21-30. https://doi.org/10.32890/mmj2011.15.2

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Harvested 2026-09-07
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Identifiers DOI 10.32890/mmj2011.15.2