IDEAS home Printed from https://ideas.repec.org/a/cup/jfinqa/v32y1997i03p345-365_00.html
   My bibliography  Save this article

Predictable Patterns after Large Stock Price Changes on the Tokyo Stock Exchange

Author

Listed:
  • Bremer, Marc
  • Hiraki, Takato
  • Sweeney, Richard J.

Abstract

This paper extends to Japanese stocks recent research on short-term stock price adjustment to new information. Using standard methodologies, we find that stock returns of firms included in the Nikkei 300 tend to be significantly positive after large price decreases. This is similar to the pattern observed for American stocks in other research. The pattern remains when returns are adjusted for market movements, and exists independently of the October 1987 market break. We find little evidence of significant patterns following large stock price increases. We also find little evidence that non-transaction prices explain the persistent, significant returns observed following large price decreases on the Tokyo Stock Exchange. We conjecture that broker/dealers and TSE member firms respond to large price decreases not by trading for their own profit, but rather by selectively supplying liquidity to their preferred retail customers. We conclude that ordinary investors probably cannot earn economic profits from these statistically significant patterns.

Suggested Citation

  • Bremer, Marc & Hiraki, Takato & Sweeney, Richard J., 1997. "Predictable Patterns after Large Stock Price Changes on the Tokyo Stock Exchange," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 32(03), pages 345-365, September.
  • Handle: RePEc:cup:jfinqa:v:32:y:1997:i:03:p:345-365_00
    as

    Download full text from publisher

    File URL: http://journals.cambridge.org/abstract_S0022109000000880
    File Function: link to article abstract page
    Download Restriction: no

    Citations

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


    Cited by:

    1. Gong-meng Chen & Oliver Rui & Steven Wang, 2005. "The Effectiveness of Price Limits and Stock Characteristics: Evidence from the Shanghai and Shenzhen Stock Exchanges," Review of Quantitative Finance and Accounting, Springer, vol. 25(2), pages 159-182, September.
    2. Jeff Madura & Nivine Richie, 2010. "Overreaction of Exchange-Traded Funds During the Bubble of 1998–2002," Chapters,in: Handbook of Behavioral Finance, chapter 5 Edward Elgar Publishing.
    3. Aman, Hiroyuki, 2013. "An analysis of the impact of media coverage on stock price crashes and jumps: Evidence from Japan," Pacific-Basin Finance Journal, Elsevier, vol. 24(C), pages 22-38.
    4. Patel, Vinay & Michayluk, David, 2016. "Return predictability following different drivers of large price changes," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 202-214.
    5. Foort, HAMELINK, 1998. "Systematic Patterns Before and After Large Price Changes: Evidence from High Frequency Data from the Paris Bourse," Les Cahiers de Recherche 655, HEC Paris.
    6. Bremer, Marc & Hiraki, Takato, 1999. "Volume and individual security returns on the Tokyo Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 7(3-4), pages 351-370, August.
    7. Lobe, Sebastian & Rieks, Johannes, 2011. "Short-term market overreaction on the Frankfurt stock exchange," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(2), pages 113-123, May.
    8. repec:rmk:rmkjrc:v:4:y:2017:i:1:p:71-101 is not listed on IDEAS
    9. 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.
    10. Mazouz, Khelifa & Joseph, Nathan Lael & Palliere, Clement, 2009. "Stock index reaction to large price changes: Evidence from major Asian stock indexes," Pacific-Basin Finance Journal, Elsevier, vol. 17(4), pages 444-459, September.
    11. 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.
    12. 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.
    13. Goldstein, Michael A. & Kavajecz, Kenneth A., 2004. "Trading strategies during circuit breakers and extreme market movements," Journal of Financial Markets, Elsevier, vol. 7(3), pages 301-333, June.
    14. Weihong Xu, 2008. "Market Reactions to Warnings of Negative Earnings Surprises: Further Evidence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(7-8), pages 818-836.
    15. Michael A. Goldstein & Kenneth A. Kavajecz, "undated". "Liquidity Provision during Circuit Breakers and Extreme Market Movements," Rodney L. White Center for Financial Research Working Papers 1-00, Wharton School Rodney L. White Center for Financial Research.
    16. Mazouz, Khelifa & Joseph, Nathan L. & Joulmer, Joulmer, 2009. "Stock price reaction following large one-day price changes: UK evidence," Journal of Banking & Finance, Elsevier, vol. 33(8), pages 1481-1493, August.
    17. Spyrou, Spyros, 2011. "Are broad market shocks anticipated by investors? Evidence from major equity and index options markets," International Review of Financial Analysis, Elsevier, vol. 20(3), pages 127-133, June.
    18. Jain, Pankaj K. & Jain, Pawan & McInish, Thomas H., 2016. "Does high-frequency trading increase systemic risk?," Journal of Financial Markets, Elsevier, vol. 31(C), pages 1-24.
    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. 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.
    21. Manuel Ammann & Stephan Markus Kessler, 2009. "Intraday characteristics of stock price crashes," Applied Financial Economics, Taylor & Francis Journals, vol. 19(15), pages 1239-1255.
    22. Soner AKKOC & Nasif OZKAN, 2013. "An Empirical Investigation of the Uncertain Information Hypothesis: Evidence From Borsa Istanbul," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 7(2), pages 101-119.

    More about this item

    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:cup:jfinqa:v:32:y:1997:i:03:p:345-365_00. 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: (Keith Waters). General contact details of provider: http://journals.cambridge.org/jid_JFQ .

    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.