IDEAS home Printed from
   My bibliography  Save this article

Estimating the effect of price limits on limit-hitting days


  • Jeff Chung
  • Li Gan


This study examines whether price limits affect underlying equilibrium prices on limit-hitting days. To identify two effects--a ceiling effect and a cooling or heating effect (C--H effect)--we use the fact that equilibrium prices are reached at the day immediately after price limits are hit. We estimate the C--H effect by letting the return series be mixture normal to capture the possible "fat tails." We apply our models to five randomly selected Taiwanese stocks and all the continuously traded stocks in our sample period. The simple normal density which would lead one to conclude that price limits can "cool off" stock prices is soundly rejected. However, if normal mixture density is used, one would generally conclude that price limits will have no effect on the variance of stock returns. Copyright 2005 Royal Economic Society

Suggested Citation

  • Jeff Chung & Li Gan, 2005. "Estimating the effect of price limits on limit-hitting days," Econometrics Journal, Royal Economic Society, vol. 8(1), pages 79-96, March.
  • Handle: RePEc:ect:emjrnl:v:8:y:2005:i:1:p:79-96

    Download full text from publisher

    File URL:
    File Function: link to full text
    Download Restriction: Access to full text is restricted to subscribers.

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


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

    Cited by:

    1. Halim DABBOU & Ahmed SILEM, 2014. "Price Limit and Financial Contagion: Protection or Illusion? The Tunisian Stock Exchange Case," International Journal of Economics and Financial Issues, Econjournals, vol. 4(1), pages 54-70.
    2. Farag, Hisham, 2013. "Price limit bands, asymmetric volatility and stock market anomalies: Evidence from emerging markets," Global Finance Journal, Elsevier, vol. 24(1), pages 85-97.
    3. Hsieh, Ping-Hung & Yang, J. Jimmy, 2009. "A censored stochastic volatility approach to the estimation of price limit moves," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 337-351, March.
    4. Lin, Chaonan & Ko, Kuan-Cheng & Lin, Lin & Yang, Nien-Tzu, 2017. "Price limits and the value premium in the Taiwan stock market," Pacific-Basin Finance Journal, Elsevier, vol. 41(C), pages 26-45.
    5. 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.

    More about this item


    Access and download statistics


    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:ect:emjrnl:v:8:y:2005:i:1:p:79-96. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum). General contact details of provider: .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.