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A unique “T+1 trading rule” in China: Theory and evidence

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  • Guo, Ming
  • Li, Zhan
  • Tu, Zhiyong

Abstract

Unique to the world, China adopts a “T+1 trading rule”, which prevents investors from selling stocks bought on the same day. We develop a dynamic price manipulation model to study the effects of the “T+1 trading rule”. Compared to the “T+0 trading rule”, which allows investors to buy and sell the same stocks during the same day, we show that the “T+1 trading rule” reduces the total trading volume and price volatility, and improves the trend chasers’ welfare when trend-chasing is strong. An empirical test using data on China’s B-share stock market supports the model’s theoretical predictions.

Suggested Citation

  • Guo, Ming & Li, Zhan & Tu, Zhiyong, 2012. "A unique “T+1 trading rule” in China: Theory and evidence," Journal of Banking & Finance, Elsevier, vol. 36(2), pages 575-583.
    • Handle: RePEc:eee:jbfina:v:36:y:2012:i:2:p:575-583
    DOI: 10.1016/j.jbankfin.2011.09.002
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    Cited by:

    1. Gao, Ya & Han, Xing & Li, Youwei & Xiong, Xiong, 2019. "Overnight momentum, informational shocks, and late informed trading in China," International Review of Financial Analysis, Elsevier, vol. 66(C).
    2. Lin, Chaonan & Chang, Hui-Wen & Chou, Robin K., 2023. "Overnight versus intraday returns of anomalies in China," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    3. Halim, Edward & Riyanto, Yohanes E., 2020. "Asset markets with insider trading disclosure rule and reselling constraint: An experimental analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    4. Zhuwei Li & Xuejiao Lu & Yuan Fu, 2022. "Interaction influence of trading rules on the quality of stock markets: the price limit rule and day trading rule from the Shanghai and Shenzhen Stock exchanges," Applied Economics, Taylor & Francis Journals, vol. 54(56), pages 6467-6479, December.
    5. Haiyan Jiang & Gary Tian & Donghua Zhou, 2021. "The influence of the deregulation of short‐selling on related‐party transactions: Evidence from China," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(5-6), pages 1022-1056, May.
    6. Feng, Xunan & Johansson, Anders C., 2016. "Judging a Book by Its Cover: Analysts and Attention-Driven Price Patterns in China’s IPO Market," Stockholm School of Economics Asia Working Paper Series 2016-39, Stockholm School of Economics, Stockholm China Economic Research Institute.
    7. P. B. Lerner, 2020. "Dual State-Space Model of Market Liquidity: The Chinese Experience 2009-2010," Papers 2004.06200, arXiv.org, revised May 2020.
    8. Zhou, Hao & Kalev, Petko S., 2019. "Algorithmic and high frequency trading in Asia-Pacific, now and the future," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 186-207.
    9. Xinyun Chen & Yan Liu & Tao Zeng, 2017. "Does the T + 1 rule really reduce speculation? Evidence from Chinese Stock Index ETF," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(5), pages 1287-1313, December.
    10. Bao, Zhengyang & Kalaycı, Kenan & Leibbrandt, Andreas & Oyarzun, Carlos, 2020. "Do regulations work? A comprehensive analysis of price limits and trading restrictions in experimental asset markets with deterministic and stochastic fundamental values," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 59-84.
    11. Chen, Haiqiang & Gu, Ming & Ni, Bo, 2023. "How price limit affects the market efficiency in a short-sale constrained market? Evidence from a quasi-natural experiment," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 22-39.

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    More about this item

    Keywords

    T+1 trading rule; Trading volume; Volatility; Trend-chasing;
    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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