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The high-volume return premium: Does it exist in the Chinese stock market?

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  • Wang, Peipei
  • Wen, Yuanji
  • Singh, Harminder

Abstract

In this paper we examine the information content of extreme trading activity in the Chinese stock market. We find that zero-investment portfolios that are constructed by buying high-volume and selling low-volume stocks do not generate positive returns (high-volume return premium), which is apparent in developed markets. In contrast, we find that there is a high-volume return discount in speculative stocks (i.e., small-cap stocks, stocks with low institutional ownership and stocks with low analyst-coverage). These stocks tend to have a high degree of over-valuation in the short term followed by a relatively low return. In support, we find a larger discount in the winners group than in the losers group.

Suggested Citation

  • Wang, Peipei & Wen, Yuanji & Singh, Harminder, 2017. "The high-volume return premium: Does it exist in the Chinese stock market?," Pacific-Basin Finance Journal, Elsevier, vol. 46(PB), pages 323-336.
    • Handle: RePEc:eee:pacfin:v:46:y:2017:i:pb:p:323-336
    DOI: 10.1016/j.pacfin.2017.10.003
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    as
    1. Myung Jig Kim & Charles R. Nelson & Richard Startz, 1991. "Mean Reversion in Stock Prices? A Reappraisal of the Empirical Evidence," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(3), pages 515-528.
    2. Kai Li & Tan Wang & Yan-Leung Cheung & Ping Jiang, 2011. "Privatization and Risk Sharing: Evidence from the Split Share Structure Reform in China," Review of Financial Studies, Society for Financial Studies, vol. 24(7), pages 2499-2525.
    3. Andrade, Sandro C. & Bian, Jiangze & Burch, Timothy R., 2013. "Analyst Coverage, Information, and Bubbles," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(5), pages 1573-1605, October.
    4. Shleifer, Andrei & Vishny, Robert W, 1997. "A Survey of Corporate Governance," Journal of Finance, American Finance Association, vol. 52(2), pages 737-783, June.
    5. Jianping Mei & Jose A. Scheinkman & Wei Xiong, 2009. "Speculative Trading and Stock Prices: Evidence from Chinese A-B Share Premia," Annals of Economics and Finance, Society for AEF, vol. 10(2), pages 225-255, November.
    6. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    7. Merton, Robert C, 1987. "A Simple Model of Capital Market Equilibrium with Incomplete Information," Journal of Finance, American Finance Association, vol. 42(3), pages 483-510, July.
    8. Liao, Li & Liu, Bibo & Wang, Hao, 2014. "China׳s secondary privatization: Perspectives from the Split-Share Structure Reform," Journal of Financial Economics, Elsevier, vol. 113(3), pages 500-518.
    9. Wang, Changyun & Chin, Shengtyng, 2004. "Profitability of return and volume-based investment strategies in China's stock market," Pacific-Basin Finance Journal, Elsevier, vol. 12(5), pages 541-564, November.
    10. Soeren Hvidkjaer, 2008. "Small Trades and the Cross-Section of Stock Returns," Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1123-1151, May.
    11. Wei Xiong & Jialin Yu, 2011. "The Chinese Warrants Bubble," American Economic Review, American Economic Association, vol. 101(6), pages 2723-2753, October.
    12. Zhu, Bo & Niu, Feng, 2016. "Investor sentiment, accounting information and stock price: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 38(C), pages 125-134.
    13. Simon Gervais & Ron Kaniel & Dan H. Mingelgrin, 2001. "The High‐Volume Return Premium," Journal of Finance, American Finance Association, vol. 56(3), pages 877-919, June.
    14. Chan, Kalok & Hameed, Allaudeen, 2006. "Stock price synchronicity and analyst coverage in emerging markets," Journal of Financial Economics, Elsevier, vol. 80(1), pages 115-147, April.
    15. Kaniel, Ron & Ozoguz, Arzu & Starks, Laura, 2012. "The high volume return premium: Cross-country evidence," Journal of Financial Economics, Elsevier, vol. 103(2), pages 255-279.
    16. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    17. Ng, Lilian & Wu, Fei, 2007. "The trading behavior of institutions and individuals in Chinese equity markets," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2695-2710, September.
    18. Han, Bing & Kumar, Alok, 2013. "Speculative Retail Trading and Asset Prices," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(2), pages 377-404, April.
    19. Jeffrey Wurgler & Ekaterina Zhuravskaya, 2002. "Does Arbitrage Flatten Demand Curves for Stocks?," The Journal of Business, University of Chicago Press, vol. 75(4), pages 583-608, October.
    20. Tian, Lihui, 2011. "Regulatory underpricing: Determinants of Chinese extreme IPO returns," Journal of Empirical Finance, Elsevier, vol. 18(1), pages 78-90, January.
    21. Yun Wang, Chang & Sang Cheng, Nam, 2004. "Extreme volumes and expected stock returns: Evidence from China's stock market," Pacific-Basin Finance Journal, Elsevier, vol. 12(5), pages 577-597, November.
    22. Zhaodan Huang & James B. Heian & Ting Zhang, 2011. "Differences Of Opinion, Overconfidence, And The High‐Volume Premium," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 34(1), pages 1-25, March.
    23. Ferhat Akbas, 2016. "The Calm before the Storm," Journal of Finance, American Finance Association, vol. 71(1), pages 225-266, February.
    24. Wei Xiong & Jialin Yu, 2011. "The Chinese Warrants Bubble," Working Papers 1398, Princeton University, Department of Economics, Econometric Research Program..
    25. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    26. Jose A. Scheinkman & Wei Xiong, 2003. "Overconfidence and Speculative Bubbles," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1183-1219, December.
    27. Xu, Nianhang & Chan, Kam C. & Jiang, Xuanyu & Yi, Zhihong, 2013. "Do star analysts know more firm-specific information? Evidence from China," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 89-102.
    28. Liu, Dehong & Gu, Hongmei & Lung, Peter, 2016. "The equity mispricing: Evidence from China's stock market," Pacific-Basin Finance Journal, Elsevier, vol. 39(C), pages 211-223.
    29. Tarun Chordia & Sahn-Wook Huh & Avanidhar Subrahmanyam, 2007. "The Cross-Section of Expected Trading Activity," Review of Financial Studies, Society for Financial Studies, vol. 20(3), pages 709-740.
    30. Lilian Ng & Fei Wu, 2010. "Peer Effects in the Trading Decisions of Individual Investors," Financial Management, Financial Management Association International, vol. 39(2), pages 807-831, June.
    31. Li Pan & Ya Tang & Jianguo Xu, 2016. "Speculative Trading and Stock Returns," Review of Finance, European Finance Association, vol. 20(5), pages 1835-1865.
    32. 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.
    33. J. Michael Harrison & David M. Kreps, 1978. "Speculative Investor Behavior in a Stock Market with Heterogeneous Expectations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 92(2), pages 323-336.
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    More about this item

    Keywords

    Return premium; Volume shock; Chinese stock market; Speculation;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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