IDEAS home Printed from https://ideas.repec.org/a/eee/pacfin/v24y2013icp256-278.html
   My bibliography  Save this article

What affects the cool-off duration under price limits?

Author

Listed:
  • Chou, Pin-Huang
  • Chou, Robin K.
  • Ko, Kuan-Cheng
  • Chao, Chun-Yi

Abstract

Price limits supposedly provide a cool-off period that allows investors to reassess the market conditions. They represent an implementation risk, a special form of arbitrage risk, that impedes arbitrageurs from engaging in arbitrage activities to correct for potential mispricing. We conjecture that the cool-off period would be lengthier for stocks that are subject to higher degrees of arbitrage risk and investor sentiment, and that the effect of arbitrage risk is stronger in up-limit hits because of higher short-sale restriction involved. Based on a sample of intraday data from the Taiwan Stock Exchange, we find that stocks with smaller capitalizations and higher idiosyncratic risk tend to have longer limit-hit durations, consistent with the behavioral argument. The empirical results have important policy implications for stock market regulations.

Suggested Citation

  • Chou, Pin-Huang & Chou, Robin K. & Ko, Kuan-Cheng & Chao, Chun-Yi, 2013. "What affects the cool-off duration under price limits?," Pacific-Basin Finance Journal, Elsevier, vol. 24(C), pages 256-278.
  • Handle: RePEc:eee:pacfin:v:24:y:2013:i:c:p:256-278
    DOI: 10.1016/j.pacfin.2013.01.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927538X13000127
    Download Restriction: Full text for ScienceDirect subscribers only

    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. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross-Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    2. X. Frank Zhang, 2006. "Information Uncertainty and Stock Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 105-137, February.
    3. Terrance Odean, 1998. "Volume, Volatility, Price, and Profit When All Traders Are Above Average," Journal of Finance, American Finance Association, vol. 53(6), pages 1887-1934, December.
    4. Shleifer, Andrei & Vishny, Robert W, 1997. " The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    5. repec:hrv:faseco:30747159 is not listed on IDEAS
    6. Harrison Hong & Jeremy C. Stein, 2003. "Differences of Opinion, Short-Sales Constraints, and Market Crashes," Review of Financial Studies, Society for Financial Studies, vol. 16(2), pages 487-525.
    7. Chou, Pin-Huang, 1997. "A Gibbs sampling approach to the estimation of linear regression models under daily price limits," Pacific-Basin Finance Journal, Elsevier, vol. 5(1), pages 39-62, February.
    8. Chen, Gong-Meng & Kim, Kenneth A. & Rui, Oliver M., 2005. "A note on price limit performance: The case of illiquid stocks," Pacific-Basin Finance Journal, Elsevier, vol. 13(1), pages 81-92, January.
    9. Cho, David D. & Russell, Jeffrey & Tiao, George C. & Tsay, Ruey, 2003. "The magnet effect of price limits: evidence from high-frequency data on Taiwan Stock Exchange," Journal of Empirical Finance, Elsevier, vol. 10(1-2), pages 133-168, February.
    10. Daphne Yan Du & Qianqiu Liu & S. Ghon Rhee, 2009. "An Analysis of the Magnet Effect under Price Limits-super-," International Review of Finance, International Review of Finance Ltd., vol. 9(1-2), pages 83-110.
    11. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    12. Kim, Kenneth A. & Limpaphayom, Piman, 2000. "Characteristics of stocks that frequently hit price limits: Empirical evidence from Taiwan and Thailand," Journal of Financial Markets, Elsevier, vol. 3(3), pages 315-332, August.
    13. Lamoureux, Christopher G & Lastrapes, William D, 1990. "Persistence in Variance, Structural Change, and the GARCH Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 225-234, April.
    14. Rui Albuquerque, 2012. "Skewness in Stock Returns: Reconciling the Evidence on Firm Versus Aggregate Returns," Review of Financial Studies, Society for Financial Studies, vol. 25(5), pages 1630-1673.
    15. 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.
    16. Kent Daniel & David Hirshleifer & Avanidhar Subrahmanyam, 1998. "Investor Psychology and Security Market Under- and Overreactions," Journal of Finance, American Finance Association, vol. 53(6), pages 1839-1885, December.
    17. Amihud, Yakov & Mendelson, Haim, 1986. "Asset pricing and the bid-ask spread," Journal of Financial Economics, Elsevier, vol. 17(2), pages 223-249, December.
    18. Chou, Pin-Huang, 1999. "Modeling daily price limits," International Review of Financial Analysis, Elsevier, vol. 8(3), pages 283-301, March.
    19. Chen, Yea-Mow, 1993. "Price limits and stock market volatility in Taiwan," Pacific-Basin Finance Journal, Elsevier, vol. 1(2), pages 139-153, May.
    20. Chuang, Wen-I & Lee, Hsiu-Chuan, 2010. "The Impact of Short-Sales Constraints on Liquidity and the Liquidity-Return Relations," Pacific-Basin Finance Journal, Elsevier, vol. 18(5), pages 521-535, November.
    21. Ali, Ashiq & Hwang, Lee-Seok & Trombley, Mark A., 2003. "Arbitrage risk and the book-to-market anomaly," Journal of Financial Economics, Elsevier, vol. 69(2), pages 355-373, August.
    22. Lee, Yi-Tsung & Liu, Yu-Jane & Roll, Richard & Subrahmanyam, Avanidhar, 2004. "Order Imbalances and Market Efficiency: Evidence from the Taiwan Stock Exchange," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(02), pages 327-341, June.
    23. Wei, K. C. John & Chiang, Raymond, 2004. "A GMM approach for estimation of volatility and regression models when daily prices are subject to price limits," Pacific-Basin Finance Journal, Elsevier, vol. 12(4), pages 445-461, September.
    24. Chan, Soon Huat & Kim, Kenneth A. & Rhee, S. Ghon, 2005. "Price limit performance: evidence from transactions data and the limit order book," Journal of Empirical Finance, Elsevier, vol. 12(2), pages 269-290, March.
    25. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    26. Subrahmanyam, Avanidhar, 1995. "On rules versus discretion in procedures to halt trade," Journal of Economics and Business, Elsevier, vol. 47(1), pages 1-16, February.
    27. Brad M. Barber & Yi-Tsung Lee & Yu-Jane Liu & Terrance Odean, 2009. "Just How Much Do Individual Investors Lose by Trading?," Review of Financial Studies, Society for Financial Studies, vol. 22(2), pages 609-632, February.
    28. Seung‐Ryong Yang & B. Wade Brorsen, 1995. "Price limits as an explanation of thin‐tailedness in pork bellies futures prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 15(1), pages 45-59, February.
    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. Clapham, Benjamin & Gomber, Peter & Haferkorn, Martin & Panz, Sven, 2017. "Managing excess volatility: Design and effectiveness of circuit breakers," SAFE Working Paper Series 195, Research Center SAFE - Sustainable Architecture for Finance in Europe, Goethe University Frankfurt.
    2. Chen-Yu Chen & Jian-Hsin Chou & Hung-Gay Fung & Yiuman Tse, 2017. "Setting the futures margin with price limits: the case for single-stock futures," Review of Quantitative Finance and Accounting, Springer, vol. 48(1), pages 219-237, January.
    3. Lin, Chaonan & Ko, Kuan-Cheng & Chen, Yu-Lin & Chu, Hsiang-Hui, 2016. "Information discreteness, price limits and earnings momentum," Pacific-Basin Finance Journal, Elsevier, vol. 37(C), pages 1-22.
    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.

    More about this item

    Keywords

    Price limits; Limit-hit duration; Magnet effect; Censoring;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • 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:pacfin:v:24:y:2013:i:c:p:256-278. 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: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/pacfin .

    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 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.

    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.