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Quote Limits Rule and Stock Market Efficiency: Evidence From a Regression Discontinuity Design

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Listed:
  • Dayong Lv
  • Yaping Zhou
  • Yan Jiang

Abstract

On April 10, 2023, China's Main Board stock market implemented a new quote limits rule, restricting the range of permissible order prices. Utilizing a regression discontinuity design (RDD), this study investigates the causal effect of this rule on stock market efficiency. We find that the rule leads to a significant reduction in pricing errors, indicating improved market efficiency. In addition, the rule is associated with a decrease in medium‐sized orders, fewer large price jumps, and a lower probability of end‐of‐day manipulation, suggesting that the rule improves market efficiency primarily by constraining manipulative trading activities from financially advantaged investors (e.g., institutional investors). Consistent with this manipulation‐curbing explanation, the rule's positive impact is more pronounced for small‐capitalization and low‐liquidity stocks, which are typically more vulnerable to price manipulation. Our findings provide robust causal evidence on the efficacy of quote limits in mitigating stock price manipulation and offer valuable regulatory insights for emerging markets.

Suggested Citation

  • Dayong Lv & Yaping Zhou & Yan Jiang, 2025. "Quote Limits Rule and Stock Market Efficiency: Evidence From a Regression Discontinuity Design," International Review of Finance, International Review of Finance Ltd., vol. 25(4), December.
  • Handle: RePEc:bla:irvfin:v:25:y:2025:i:4:n:e70047
    DOI: 10.1111/irfi.70047
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    as
    1. Lucas W. Davis, 2008. "The Effect of Driving Restrictions on Air Quality in Mexico City," Journal of Political Economy, University of Chicago Press, vol. 116(1), pages 38-81, February.
    2. 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.
    3. Prasanna L Tantri, 2018. "Contagious Effects of a Political Intervention in Debt Contracts: Evidence Using Loan-Level Data," The Review of Financial Studies, Society for Financial Studies, vol. 31(11), pages 4556-4592.
    4. Bruce N. Lehmann and David M. Modest., 1994. "Trading and Liquidity on the Tokyo Stock Exchange: A Bird's Eye View," Research Program in Finance Working Papers RPF-234, University of California at Berkeley.
    5. Liu, Jie & Wu, Chonglin & Yuan, Lin & Liu, Jia, 2022. "Opening price manipulation and its value influences," International Review of Financial Analysis, Elsevier, vol. 83(C).
    6. Michael L. Anderson, 2014. "Subways, Strikes, and Slowdowns: The Impacts of Public Transit on Traffic Congestion," American Economic Review, American Economic Association, vol. 104(9), pages 2763-2796, September.
    7. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    8. Huang, Yen-Sheng & Fu, Tze-Wei & Ke, Mei-Chu, 2001. "Daily price limits and stock price behavior: evidence from the Taiwan stock exchange," International Review of Economics & Finance, Elsevier, vol. 10(3), pages 263-288, July.
    9. Titman, Sheridan & Wei, Chishen & Zhao, Bin, 2022. "Corporate actions and the manipulation of retail investors in China: An analysis of stock splits," Journal of Financial Economics, Elsevier, vol. 145(3), pages 762-787.
    10. Maximilian Auffhammer & Ryan Kellogg, 2011. "Clearing the Air? The Effects of Gasoline Content Regulation on Air Quality," American Economic Review, American Economic Association, vol. 101(6), pages 2687-2722, October.
    11. Kim, Kenneth & Rhee, S Ghon, 1997. "Price Limit Performance: Evidence from the Tokyo Stock Exchange," Journal of Finance, American Finance Association, vol. 52(2), pages 885-899, June.
    12. Ole E. Barndorff-Nielsen & Neil Shephard, 2006. "Econometrics of Testing for Jumps in Financial Economics Using Bipower Variation," Journal of Financial Econometrics, Oxford University Press, vol. 4(1), pages 1-30.
    13. Guojun He & Shaoda Wang & Bing Zhang, 2020. "Watering Down Environmental Regulation in China," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 2135-2185.
    14. Deb, Saikat Sovan & Kalev, Petko S. & Marisetty, Vijaya B., 2010. "Are price limits really bad for equity markets?," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2462-2471, October.
    15. Ekkehart Boehmer & Juan (Julie) Wu, 2013. "Short Selling and the Price Discovery Process," The Review of Financial Studies, Society for Financial Studies, vol. 26(2), pages 287-322.
    16. Chen, Zhian & Du, Jinmin & Li, Donghui & Ouyang, Rui, 2013. "Does foreign institutional ownership increase return volatility? Evidence from China," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 660-669.
    17. Carole Comerton-Forde & Tālis J. Putniņš, 2014. "Stock Price Manipulation: Prevalence and Determinants," Review of Finance, European Finance Association, vol. 18(1), pages 23-66.
    18. Lehmann, Bruce N & Modest, David M, 1994. "Trading and Liquidity on the Tokyo Stock Exchange: A Bird's Eye View," Journal of Finance, American Finance Association, vol. 49(3), pages 951-984, July.
    19. George, Thomas J. & Hwang, Chuan-Yang, 1995. "Transitory Price Changes and Price-Limit Rules: Evidence from the Tokyo Stock Exchange," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(2), pages 313-327, June.
    Full references (including those not matched with items on IDEAS)

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