IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v42y2021ics1544612320317232.html
   My bibliography  Save this article

Could increasing price limits reduce up limit herding? Evidence from China's capital market reform

Author

Listed:
  • Ma, Yu
  • Qian, Wenyu
  • Luan, Zhiqian

Abstract

On August 24, 2020, trading rules of Shenzhen Stock Exchange's ChiNext board in China were amended to set ±20% price limits. We conducted an event study to reveal whether and how investors’ behavior should change after the increased price limits’ implementation. The results show that after the implementation of the new trading rules, investors flocked to the ChiNext board, resulting in a surge in turnover in this board. ChiNext leading stocks demonstrated significant cumulative abnormal returns (CAR) versus both STAR board and main board. In general, the new trading rules has produced a stronger up limit herding effect in ChiNext board.

Suggested Citation

  • Ma, Yu & Qian, Wenyu & Luan, Zhiqian, 2021. "Could increasing price limits reduce up limit herding? Evidence from China's capital market reform," Finance Research Letters, Elsevier, vol. 42(C).
    • Handle: RePEc:eee:finlet:v:42:y:2021:i:c:s1544612320317232
    DOI: 10.1016/j.frl.2020.101909
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612320317232
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2020.101909?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lu, Shan & Zhao, Jichang & Wang, Huiwen & Ren, Ruoen, 2018. "Herding boosts too-connected-to-fail risk in stock market of China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 945-964.
    2. Frijns, Bart & Huynh, Thanh D., 2018. "Herding in analysts’ recommendations: The role of media," Journal of Banking & Finance, Elsevier, vol. 91(C), pages 1-18.
    3. Diefeng Peng & Yulei Rao & Mei Wang, 2016. "Do Top 10 Lists of Daily Stock Returns Attract Investor Attention? Evidence from a Natural Experiment," International Review of Finance, International Review of Finance Ltd., vol. 16(4), pages 565-593, December.
    4. Kenneth A. Kim & Jungsoo Park, 2010. "Why Do Price Limits Exist in Stock Markets? A Manipulation†Based Explanation," European Financial Management, European Financial Management Association, vol. 16(2), pages 296-318, March.
    5. 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.
    6. Bekiros, Stelios & Jlassi, Mouna & Lucey, Brian & Naoui, Kamel & Uddin, Gazi Salah, 2017. "Herding behavior, market sentiment and volatility: Will the bubble resume?," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 107-131.
    7. Kedar-Levy, Haim & Yu, Xiaoyan & Kamesaka, Akiko & Ben-Zion, Uri, 2010. "The impact of daily return limit and segmented clientele on stock returns in China," International Review of Financial Analysis, Elsevier, vol. 19(4), pages 223-236, September.
    8. Youssef, Mouna & Mokni, Khaled, 2018. "On the effect of herding behavior on dependence structure between stock markets: Evidence from GCC countries," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 52-63.
    9. Brown, Stephen J. & Warner, Jerold B., 1980. "Measuring security price performance," Journal of Financial Economics, Elsevier, vol. 8(3), pages 205-258, September.
    10. Shan Lu & Jichang Zhao & Huiwen Wang & Ruoen Ren, 2017. "Herding boosts too-connected-to-fail risk in stock market of China," Papers 1705.08240, arXiv.org, revised Apr 2018.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jin, Liwei & Yuan, Xianghui & Li, Xiang & Ma, Huanglong & Lian, Feng, 2022. "Would widening price limits improve the efficiency of price discovery?," Finance Research Letters, Elsevier, vol. 50(C).
    2. Bing, Tao & Cui, Yian & Min, Ying & Xiong, Xiong, 2022. "Price limit changes and market quality: Evidence from China," Finance Research Letters, Elsevier, vol. 48(C).
    3. Zhang, Xiaotao & Wang, Ziqiao & Hao, Jing & He, Feng, 2022. "Price limit and stock market quality: Evidence from a quasi-natural experiment in the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    4. Tang, Siyuan, 2023. "Price limit performance: New evidence from a quasi-natural experiment in China's ChiNext market," International Review of Financial Analysis, Elsevier, vol. 89(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    2. Shan Lu & Jichang Zhao & Huiwen Wang, 2019. "The emergence of critical stocks in market crash," Papers 1908.07244, arXiv.org.
    3. Fenny Marietza & Ridwan Nurazi & Fitri Santi & Saiful, 2021. "Bibliometric Analysis Of Herding Behavior In Times Of Crisis," Papers 2106.13598, arXiv.org.
    4. Bing, Tao & Cui, Yian & Min, Ying & Xiong, Xiong, 2022. "Price limit changes and market quality: Evidence from China," Finance Research Letters, Elsevier, vol. 48(C).
    5. Yao, Jing & Zheng, Zexin, 2021. "Costly arbitrage and skewness pricing: Evidence from first-day price limit reform in China," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    6. Halim Dabbou & Ahmed Silem, 2014. "Price limit and financial contagion: protection or illusion? The tunisian stock exchange case," Post-Print hal-00925424, HAL.
    7. Farag, Hisham, 2015. "The influence of price limits on overreaction in emerging markets: Evidence from the Egyptian stock market," The Quarterly Review of Economics and Finance, Elsevier, vol. 58(C), pages 190-199.
    8. Imtiaz Mohammad Sifat & Azhar Mohamad, 2019. "Circuit breakers as market stability levers: A survey of research, praxis, and challenges," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(3), pages 1130-1169, July.
    9. Saadaoui Mallek, Ray & Albaity, Mohamed & Molyneux, Philip, 2022. "Herding behaviour heterogeneity under economic and political risks: Evidence from GCC," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 345-361.
    10. Zhengyang Bao & Kenan Kalayci & Andreas Leibbrandt & Carlos Oyarzun, 2019. "Regulating Bubbles Away?Experiment-Based Evidence of Price Limits and Trading Restrictions in Asset Markets with Deterministic and Stochastic Fundamental Values," Monash Economics Working Papers 14-18, Monash University, Department of Economics.
    11. Wonse Kim & Sungjae Jun, 2018. "Effects of a Price limit Change on Market Stability at the Intraday Horizon in the Korean Stock Market," Papers 1805.04728, arXiv.org.
    12. Hao Li & Zhisheng Li, 2022. "The effect of daily price limits on stock liquidity: Evidence from the Chinese stock market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(5), pages 4885-4917, December.
    13. James Brugler & Oliver Linton, 2014. "Circuit Breakers on the London Stock Exchange: Do they improve subsequent market quality?," Cambridge Working Papers in Economics 1453, Faculty of Economics, University of Cambridge.
    14. Wang, Dingyan & Chong, Terence Tai-Leung & Chan, Wing Hong, 2014. "Price Limits and Stock Market Volatility in China," MPRA Paper 54146, University Library of Munich, Germany.
    15. 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.
    16. Clapham, Benjamin & Gomber, Peter & Haferkorn, Martin & Panz, Sven, 2017. "Managing excess volatility: Design and effectiveness of circuit breakers," SAFE Working Paper Series 195, Leibniz Institute for Financial Research SAFE.
    17. George Diacogiannis & Nikolaos Patsalis & Nickolaos Tsangarakis & Emanuel Tsiritakis, 2005. "Price limits and overreaction in the Athens stock exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 15(1), pages 53-61.
    18. 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.
    19. 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.
    20. James Brugler & Oliver Linton, 2014. "Single stock circuit breakers on the London Stock Exchange: do they improve subsequent market quality?," CeMMAP working papers CWP07/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    More about this item

    Keywords

    price limits; herding effect; trading rules; ChiNext board;
    All these keywords.

    JEL classification:

    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finlet:v:42:y:2021:i:c:s1544612320317232. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.