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Large transactions and the MAX effect: Evidence from China

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  • Bi, Jia
  • Gui, Pingshu
  • Zhu, Yifeng

Abstract

In this paper, we confirm the existence of the maximum daily return (MAX) effect in the Chinese stock market. Furthermore, we find that MAX is driven by large transactions whereby their increasing relative transaction volume triggers the MAX effect. This paper proposes the economic mechanism for the MAX effect as follows: institutional investor trading increases first, which causes individual investors to follow so that the total transaction volume increased, finally the MAX effect formatted. After the daily stock return reaches its monthly highest, the institutional trading quickly decays. By contrast, trading by retail investors decreases much slower after the MAX day.

Suggested Citation

  • Bi, Jia & Gui, Pingshu & Zhu, Yifeng, 2022. "Large transactions and the MAX effect: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
  • Handle: RePEc:eee:pacfin:v:75:y:2022:i:c:s0927538x22001470
    DOI: 10.1016/j.pacfin.2022.101852
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    1. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    2. Bali, Turan G. & Cakici, Nusret & Whitelaw, Robert F., 2011. "Maxing out: Stocks as lotteries and the cross-section of expected returns," Journal of Financial Economics, Elsevier, vol. 99(2), pages 427-446, February.
    3. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    4. Gui, Pingshu & Zhu, Yifeng, 2021. "Margin trading and stock idiosyncratic volatility: Evidence from the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 484-496.
    5. Bruce N. Lehmann, 1990. "Fads, Martingales, and Market Efficiency," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(1), pages 1-28.
    6. Robert F. Stambaugh & Jianfeng Yu & Yu Yuan, 2015. "Arbitrage Asymmetry and the Idiosyncratic Volatility Puzzle," Journal of Finance, American Finance Association, vol. 70(5), pages 1903-1948, October.
    7. Alok Kumar, 2009. "Who Gambles in the Stock Market?," Journal of Finance, American Finance Association, vol. 64(4), pages 1889-1933, August.
    8. Stambaugh, Robert F. & Yu, Jianfeng & Yuan, Yu, 2012. "The short of it: Investor sentiment and anomalies," Journal of Financial Economics, Elsevier, vol. 104(2), pages 288-302.
    9. Annaert, Jan & De Ceuster, Marc & Verstegen, Kurt, 2013. "Are extreme returns priced in the stock market? European evidence," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3401-3411.
    10. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    11. 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.
    12. Nartea, Gilbert V. & Kong, Dongmin & Wu, Ji, 2017. "Do extreme returns matter in emerging markets? Evidence from the Chinese stock market," Journal of Banking & Finance, Elsevier, vol. 76(C), pages 189-197.
    13. Zhong, Angel & Gray, Philip, 2016. "The MAX effect: An exploration of risk and mispricing explanations," Journal of Banking & Finance, Elsevier, vol. 65(C), pages 76-90.
    14. Jegadeesh, Narasimhan, 1990. "Evidence of Predictable Behavior of Security Returns," Journal of Finance, American Finance Association, vol. 45(3), pages 881-898, July.
    15. Jiang, Lei & Wu, Ke & Zhou, Guofu & Zhu, Yifeng, 2020. "Stock Return Asymmetry: Beyond Skewness — CORRIGENDUM," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(2), pages 707-707, March.
    16. Bali, Turan G. & Brown, Stephen J. & Murray, Scott & Tang, Yi, 2017. "A Lottery-Demand-Based Explanation of the Beta Anomaly," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(6), pages 2369-2397, December.
    17. Fong, Wai Mun & Toh, Benjamin, 2014. "Investor sentiment and the MAX effect," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 190-201.
    18. Wan, Xiaoyuan, 2018. "Is the idiosyncratic volatility anomaly driven by the MAX or MIN effect? Evidence from the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 53(C), pages 1-15.
    19. Jiang, Lei & Wu, Ke & Zhou, Guofu & Zhu, Yifeng, 2020. "Stock Return Asymmetry: Beyond Skewness," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(2), pages 357-386, March.
    20. Gilbert V. Nartea & Ji Wu & Hong Tao Liu, 2014. "Extreme returns in emerging stock markets: evidence of a MAX effect in South Korea," Applied Financial Economics, Taylor & Francis Journals, vol. 24(6), pages 425-435, March.
    21. Yao, Shouyu & Wang, Chunfeng & Fang, Zhenming & Chiao, Chaoshin, 2021. "MAX is not the max under the interference of daily price limits: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 348-369.
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    More about this item

    Keywords

    The MAX effect; Large transactions; Institutional investors; Retail investors;
    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

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