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The Cross-Section of Stock Returns on The Shanghai Stock Exchange

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  • Kie Wong
  • Ruth Tan
  • Wei Liu

Abstract

This study explores the cross-sectional stock return behavior on the A-share market of the Shanghai Stock Exchange (SSE), which is segmented from world's other equity markets. We estimate the effects of beta, firm size, book-to-market equity ratio and a variable unique to the Chinese stock markets, the proportion of firm's floating (tradable) equity over total equity on SSE stocks over the period 1993–2002. We find that smaller firms and value stocks perform better. Systematic risk is negatively significant in down markets. The proportion of floating equity has no direct effect on stock returns. Copyright Springer Science + Business Media, Inc. 2006

Suggested Citation

  • Kie Wong & Ruth Tan & Wei Liu, 2006. "The Cross-Section of Stock Returns on The Shanghai Stock Exchange," Review of Quantitative Finance and Accounting, Springer, vol. 26(1), pages 23-39, February.
    • Handle: RePEc:kap:rqfnac:v:26:y:2006:i:1:p:23-39
    DOI: 10.1007/s11156-006-7031-4
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    References listed on IDEAS

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    Cited by:

    1. Pengguo Wang & Wei Huang, 2015. "The implied growth rates and country risk premium: evidence from Chinese stock markets," Review of Quantitative Finance and Accounting, Springer, vol. 45(3), pages 641-663, October.
    2. Chen, Chun-Da & Demirer, Riza & Jategaonkar, Shrikant P., 2015. "Risk and return in the Chinese stock market: Does equity return dispersion proxy risk?," Pacific-Basin Finance Journal, Elsevier, vol. 33(C), pages 23-37.
    3. Chen, Tsung-Cheng & Chien, Chin-Chen, 2011. "Size effect in January and cultural influences in an emerging stock market: The perspective of behavioral finance," Pacific-Basin Finance Journal, Elsevier, vol. 19(2), pages 208-229, April.
    4. David Morelli, 2012. "Security returns, beta, size, and book-to-market equity: evidence from the Shanghai A-share market," Review of Quantitative Finance and Accounting, Springer, vol. 38(1), pages 47-60, January.
    5. Huang, Hung-Yi & Ho, Kung-Cheng, 2020. "Liquidity, earnings management, and stock expected returns," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    6. Nartea, Gilbert V. & Wu, Ji & Liu, Zhentao, 2013. "Does idiosyncratic volatility matter in emerging markets? Evidence from China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 137-160.
    7. Ruanmin Cao & Lajos Horváth & Zhenya Liu & Yuqian Zhao, 2020. "A study of data-driven momentum and disposition effects in the Chinese stock market by functional data analysis," Review of Quantitative Finance and Accounting, Springer, vol. 54(1), pages 335-358, January.
    8. Qing Cao & Mark Parry & Karyl Leggio, 2011. "The three-factor model and artificial neural networks: predicting stock price movement in China," Annals of Operations Research, Springer, vol. 185(1), pages 25-44, May.
    9. Xiao-Ming Li, 2014. "Asset Pricing and Share Reforms: An Anatomy of China’s Investable Stocks," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 21(1), pages 15-34, March.
    10. David Blitz & Matthias X. Hanauer & Pim Vliet, 2021. "The Volatility Effect in China," Journal of Asset Management, Palgrave Macmillan, vol. 22(5), pages 338-349, September.
    11. Malkiel, Burton & Jun, Derek, 2009. "The "value" effect and the market for Chinese stocks," Emerging Markets Review, Elsevier, vol. 10(4), pages 227-241, December.
    12. Xiaoqiong Cai & Guy Liu & Bryan Mase, 2008. "The long-run performance of initial public offerings and its determinants: the case of China," Review of Quantitative Finance and Accounting, Springer, vol. 30(4), pages 419-432, May.
    13. Zhong-Guo Zhou, 2010. "The high-volume return premium: evidence from the Chinese stock market," Review of Quantitative Finance and Accounting, Springer, vol. 35(3), pages 295-313, October.

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