Does Trading Volume Contain Information to Predict Stock Returns? Evidence from China's Stock Markets

  • Cheng F. Lee
  • Oliver M. Rui


This paper examines empirical contemporaneous and causal relationships between trading volume, stock returns and return volatility in China's four stock exchanges and across these markets. We find that trading volume does not Granger-cause stock market returns on each of the markets. As for the cross-market causal relationship in China's stock markets, there is evidence of a feedback relationship in returns between Shanghai A and Shenzhen B stocks, and between Shanghai B and Shenzhen B stocks. Shanghai B return helps predict the return of Shenzhen A stocks. Shanghai A volume Granger-causes return of Shenzhen B. Shenzhen B volume helps predict the return of Shanghai B stocks. This paper also investigates the causal relationship among these three variables between China's stock markets and the US stock market and between China and Hong Kong. We find that US return helps predict returns of Shanghai A and Shanghai B stocks. US and Hong Kong volumes do not Granger-cause either return or volatility in China's stock markets. In short, information contained in returns, volatility, and volume from financial markets in the US and Hong Kong has very weak predictive power for Chinese financial market variables.

spillover China's Stock Markets trading volume 


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Copyright information

© Kluwer Academic Publishers 2000

Authors and Affiliations

  • Cheng F. Lee
    • 1
  • Oliver M. Rui
    • 2
  1. 1.Rutgers UniversityUSA
  2. 2.Hong Kong Polytechnic UniversityHong Kong

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