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

In: Handbook of Investment Analysis, Portfolio Management, and Financial Derivatives In 4 Volumes

Author

Listed:
  • Cheng Few Lee
  • Oliver M. Rui

Abstract

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 U.S. stock market and between China and Hong Kong. We find that U.S. return helps predict returns of Shanghai A and Shanghai B stocks. U.S. 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 U.S. and Hong Kong has very weak predictive power for Chinese financial market variables.

Suggested Citation

  • Cheng Few Lee & Oliver M. Rui, 2024. "Does Trading Volume Contain Information to Predict Stock Returns? Evidence from China’s Stock Markets," World Scientific Book Chapters, in: Cheng Few Lee & Alice C Lee & John C Lee (ed.), Handbook of Investment Analysis, Portfolio Management, and Financial Derivatives In 4 Volumes, chapter 42, pages 1403-1429, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9789811269943_0042
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    Keywords

    Financial Accounting; Financial Auditing; Mutual Funds; Hedge Funds; Asset Pricing; Options; Portfolio Analysis; Risk Management; Investment Analysis; Momentum Analysis; Behavior Analysis; Futures; Index Futures; CDCs; Financial Econometrics; Statistics; Financial Derivatives; Financial Accounting;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G1 - Financial Economics - - General Financial Markets
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • M42 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Auditing
    • G3 - Financial Economics - - Corporate Finance and Governance

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