IDEAS home Printed from https://ideas.repec.org/a/gam/jijfss/v13y2025i1p7-d1564374.html

Do Short Sales Reduce Post-Shock Anomalies in Stock Prices? Evidence from the Chinese Stock Market

Author

Listed:
  • Haojun Chen

    (International School, Guangzhou Huali College, Guangzhou 511325, China)

Abstract

This study investigates the role of short sales in mitigating post-shock anomalies in stock returns within the context of China’s evolving short-sales regulations. Utilizing a unique dataset of daily short-sale volumes, this research examines how short sellers influence stock price behavior following significant price shocks. The findings reveal that short sellers act as informed arbitragers, reducing post-shock anomalies, particularly in news-driven events, and supporting Diamond and Verrecchia’s hypothesis that short-sale constraints slow price adjustments to information. This study fills a critical gap in the literature, offering insights into price efficiency and implications for regulators and investors. By highlighting the unintended consequences of restrictive short-sale policies, this paper recommends reforms to reduce borrowing costs, enhance lending programs, and promote effective short-selling practices. These results contribute to the broader understanding of market dynamics, particularly in emerging markets with tight short-sale restrictions like China.

Suggested Citation

  • Haojun Chen, 2025. "Do Short Sales Reduce Post-Shock Anomalies in Stock Prices? Evidence from the Chinese Stock Market," IJFS, MDPI, vol. 13(1), pages 1-24, January.
    • Handle: RePEc:gam:jijfss:v:13:y:2025:i:1:p:7-:d:1564374
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7072/13/1/7/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7072/13/1/7/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Khelifa Mazouz & Dima W. H. Alrabadi & Shuxing Yin, 2012. "Systematic liquidity risk and stock price reaction to shocks," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 52(2), pages 467-493, June.
    2. Atkins, Allen B. & Dyl, Edward A., 1990. "Price Reversals, Bid-Ask Spreads, and Market Efficiency," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(4), pages 535-547, December.
    3. Feng, Xunan & Chan, Kam C., 2016. "Information advantage, short sales, and stock returns: Evidence from short selling reform in China," Economic Modelling, Elsevier, vol. 59(C), pages 131-142.
    4. Cox, Don R & Peterson, David R, 1994. "Stock Returns Following Large One-Day Declines: Evidence on Short-Term Reversals and Longer-Term Performance," Journal of Finance, American Finance Association, vol. 49(1), pages 255-267, March.
    5. Boehmer, Ekkehart & Masumeci, Jim & Poulsen, Annette B., 1991. "Event-study methodology under conditions of event-induced variance," Journal of Financial Economics, Elsevier, vol. 30(2), pages 253-272, December.
    6. Frank, Murray Z. & Sanati, Ali, 2018. "How does the stock market absorb shocks?," Journal of Financial Economics, Elsevier, vol. 129(1), pages 136-153.
    7. Paul C. Tetlock, 2010. "Does Public Financial News Resolve Asymmetric Information?," The Review of Financial Studies, Society for Financial Studies, vol. 23(9), pages 3520-3557.
    8. Ekkehart Boehmer & Charles M. Jones & Xiaoyan Zhang, 2008. "Which Shorts Are Informed?," Journal of Finance, American Finance Association, vol. 63(2), pages 491-527, April.
    9. Eugene F. Fama & Kenneth R. French, 2016. "Dissecting Anomalies with a Five-Factor Model," The Review of Financial Studies, Society for Financial Studies, vol. 29(1), pages 69-103.
    Full references (including those not matched with items on IDEAS)

    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. repec:rfb:journl:v:09:y:2017:i:2:p:007-026 is not listed on IDEAS
    2. Mazouz, Khelifa & Wang, Jian, 2014. "Are commodity futures markets short-term efficient? An empirical investigation," 88th Annual Conference, April 9-11, 2014, AgroParisTech, Paris, France 169763, Agricultural Economics Society.
    3. Andrey Kudryavtsev, 2021. "Stock Price Dynamics Surrounding Company-Specific Shocks," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 7, pages 32-45.
    4. Savor, Pavel G., 2012. "Stock returns after major price shocks: The impact of information," Journal of Financial Economics, Elsevier, vol. 106(3), pages 635-659.
    5. Andrey Kudryavtsev, 2019. "Holiday Effect on Large Stock Price Changes," Annals of Economics and Finance, Society for AEF, vol. 20(2), pages 633-660, November.
    6. Amini, Shima & Gebka, Bartosz & Hudson, Robert & Keasey, Kevin, 2013. "A review of the international literature on the short term predictability of stock prices conditional on large prior price changes: Microstructure, behavioral and risk related explanations," International Review of Financial Analysis, Elsevier, vol. 26(C), pages 1-17.
    7. Andrey Kudryavtsev, 2019. "The Effect Of Trading Volumes On Stock Returns Following Large Price Moves," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 64(220), pages 85-116, January –.
    8. Andrey Kudryavtsev, 2017. ""I'll Think about it Tomorrow": Price Drifts Following Large Pre-Holiday Stock Price Moves," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 9(2), pages 043-062, December.
    9. Achim Himmelmann & Dirk Schiereck & Marc Simpson & Moritz Zschoche, 2012. "Long-term reactions to large stock price declines and increases in the European stock market: a note on market efficiency," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 36(2), pages 400-423, April.
    10. AltInkIlIç, Oya & Hansen, Robert S., 2009. "On the information role of stock recommendation revisions," Journal of Accounting and Economics, Elsevier, vol. 48(1), pages 17-36, October.
    11. Cakici, Nusret & Zaremba, Adam, 2022. "Salience theory and the cross-section of stock returns: International and further evidence," Journal of Financial Economics, Elsevier, vol. 146(2), pages 689-725.
    12. Andrey Kudryavtsev, 2014. "When Do Opening Stock Returns Tend to be Higher?," International Economic Journal, Taylor & Francis Journals, vol. 28(3), pages 445-458, September.
    13. Sanae Ait Jillali & Mohammed Belkasseh, 2023. "IPOs performance evaluation: Which methodology to opt for?," Post-Print halshs-04322482, HAL.
    14. Vinay Patel, 2015. "Price Discovery in US and Australian Stock and Options Markets," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 27, July-Dece.
    15. Engelberg, Joseph E. & Reed, Adam V. & Ringgenberg, Matthew C., 2012. "How are shorts informed?," Journal of Financial Economics, Elsevier, vol. 105(2), pages 260-278.
    16. Piccoli, Pedro & Chaudhury, Mo & Souza, Alceu, 2017. "How do stocks react to extreme market events? Evidence from Brazil," Research in International Business and Finance, Elsevier, vol. 42(C), pages 275-284.
    17. Hudson, Robert S. & Gregoriou, Andros, 2015. "Calculating and comparing security returns is harder than you think: A comparison between logarithmic and simple returns," International Review of Financial Analysis, Elsevier, vol. 38(C), pages 151-162.
    18. Guglielmo Maria Caporale & Luis Gil-Alana & Alex Plastun, 2018. "Short-Term Price Overreactions: Identification, Testing, Exploitation," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 913-940, April.
    19. Adam Zawadowski & Gyorgy Andor & Janos Kertesz, 2006. "Short-term market reaction after extreme price changes of liquid stocks," Quantitative Finance, Taylor & Francis Journals, vol. 6(4), pages 283-295.
    20. Lee, Yi-Tsung & Liu, Yu-Jane & Roll, Richard & Subrahmanyam, Avanidhar, 2001. "Order Imbalances and Market Efficiency: Evidence from the Taiwan Stock Exchange, Forthcoming in the Journal of Financial and Quantitative Analysis," University of California at Los Angeles, Anderson Graduate School of Management qt7w8106qn, Anderson Graduate School of Management, UCLA.
    21. Dyl, Edward A. & Yuksel, H. Zafer & Zaynutdinova, Gulnara R., 2019. "Price reversals and price continuations following large price movements," Journal of Business Research, Elsevier, vol. 95(C), pages 1-12.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:gam:jijfss:v:13:y:2025:i:1:p:7-:d:1564374. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.