IDEAS home Printed from https://ideas.repec.org/a/bla/finrev/v42y2007i2p289-301.html
   My bibliography  Save this article

Price Clustering on the Tokyo Stock Exchange

Author

Listed:
  • Aslı Aşçıoğlu
  • Carole Comerton‐Forde
  • Thomas H. McInish

Abstract

This paper examines price clustering on the Tokyo Stock Exchange (TSE). Regardless of tick and lot size, prices ending in zero and five are the most popular. The TSE has no market makers or direct negotiation between traders; therefore, clustering is not explained by collusion or negotiation. Our evidence supports the attraction hypothesis. Clustering also extends to order book depth. There is evidence of strategic trading behavior as traders place orders one price tick better than zero and five to avoid queuing orders at prices ending in these digits. Strategic trading behavior declined and clustering increased when the market became anonymous.

Suggested Citation

  • Aslı Aşçıoğlu & Carole Comerton‐Forde & Thomas H. McInish, 2007. "Price Clustering on the Tokyo Stock Exchange," The Financial Review, Eastern Finance Association, vol. 42(2), pages 289-301, May.
    • Handle: RePEc:bla:finrev:v:42:y:2007:i:2:p:289-301
    DOI: 10.1111/j.1540-6288.2007.00172.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1540-6288.2007.00172.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1540-6288.2007.00172.x?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
    ---><---

    Citations

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


    Cited by:

    1. Enrique Fatas & Ernan Haruvy & Antonio J. Morales, 2014. "A Psychological Reexamination of the Bertrand Paradox," Southern Economic Journal, John Wiley & Sons, vol. 80(4), pages 948-967, April.
    2. Mishra, Ajay Kumar & Tripathy, Trilochan, 2018. "Price and trade size clustering: Evidence from the national stock exchange of India," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 63-72.
    3. Narayan, Paresh Kumar & Smyth, Russell, 2013. "Has political instability contributed to price clustering on Fiji's stock market?," Journal of Asian Economics, Elsevier, vol. 28(C), pages 125-130.
    4. Lien, Donald & Hung, Pi-Hsia & Lo, Hsiang-Yu, 2022. "Order Choices: An Intraday Analysis of the Taiwan Stock Exchange," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    5. Ya-Hui Wang & Chien-Chih Lai, 2015. "The Effect of Limit Order Book Information on Investors with Different Risk Attitudes," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 9(1), pages 113-120.
    6. ap Gwilym, Owain & Verousis, Thanos, 2010. "Price clustering and underpricing in the IPO aftermarket," International Review of Financial Analysis, Elsevier, vol. 19(2), pages 89-97, March.
    7. Kirsten Rüchardt & Bodo Vogt, 2009. "Comparison of the Stock Price Clustering of stocks which are traded in the US and Germany—Is XETRA more efficient than the NYSE?," FEMM Working Papers 09016, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    8. Ryan L. Davis & Stephen N. Jurich & Brian S. Roseman & Ethan D. Watson, 2018. "Short-Sale Restrictions and Price Clustering: Evidence from SEC Rule 201," Journal of Financial Services Research, Springer;Western Finance Association, vol. 54(3), pages 345-367, December.
    9. Júlio Lobão & Luís Pacheco & Luís Alves, 2019. "Price Clustering in Bank Stocks During the Global Financial Crisis," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 66(4), pages 465-486, December.
    10. Telli, Şahin & Zhao, Xufeng, 2023. "Clustering in Bitcoin balance," Finance Research Letters, Elsevier, vol. 55(PA).
    11. Hao-Chen Liu, 2011. "Timing of price clustering and trader behavior in the foreign exchange market: evidence from Taiwan," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 35(2), pages 198-210, April.
    12. Jeffrey R. Black & Pankaj K. Jain & Wei Sun, 2023. "Trade-time clustering," Review of Quantitative Finance and Accounting, Springer, vol. 60(3), pages 1209-1242, April.
    13. Yizhou Bai & Zhiyu Guo, 2019. "An Empirical Investigation to the “Skew” Phenomenon in Stock Index Markets: Evidence from the Nikkei 225 and Others," Sustainability, MDPI, vol. 11(24), pages 1-17, December.
    14. Das, Sougata & Kadapakkam, Palani-Rajan, 2020. "Machine over Mind? Stock price clustering in the era of algorithmic trading," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    15. Jeon, Jin Q. & Lee, Cheolwoo, 2015. "A new measure for heated negotiation in the IPO syndicate," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 278-304.
    16. Ahmad, Muhammad Munir & Hunjra, Ahmed Imran & Taskin, Dilvin, 2023. "Do asymmetric information and leverage affect investment decisions?," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 337-345.
    17. Urquhart, Andrew, 2017. "Price clustering in Bitcoin," Economics Letters, Elsevier, vol. 159(C), pages 145-148.
    18. Jörg Rieger & Kirsten Rüchardt & Bodo Vogt, 2011. "Comparing High Frequency Data of Stocks that are Traded Simultaneously in the US and Germany: Simulated Versus Empirical Data," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 1(2), pages 126-142, December.
    19. repec:ipg:wpaper:2014-405 is not listed on IDEAS
    20. Rashid AMIN & Habib AHMAD, 2013. "Does Investor Attention Matter�S?," Journal of Public Administration, Finance and Law, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 4(4), pages 111-125, December.
    21. Aouadi, Amal & Arouri, Mohamed & Teulon, Frédéric, 2013. "Investor attention and stock market activity: Evidence from France," Economic Modelling, Elsevier, vol. 35(C), pages 674-681.
    22. Donglian Ma & Hisashi Tanizaki, 2022. "Intraday patterns of price clustering in Bitcoin," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.

    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:bla:finrev:v:42:y:2007:i:2:p:289-301. 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.

    We have no bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/efaaaea.html .

    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.