IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v49y2017i28p2766-2778.html
   My bibliography  Save this article

Price clustering on the Shanghai Stock Exchange

Author

Listed:
  • Bill Hu
  • Christine Jiang
  • Thomas McInish
  • Haigang Zhou

Abstract

We investigate price clustering of intraday trades and negotiated block trades on the Shanghai Stock Exchange (SSE) from 2003 to 2009. Prices of traded assets tend to cluster on certain final digits, such as 0 and 5. In Chinese culture, 8 is associated with good luck and 4 with death so these numbers may be attractive or avoided. We find that price clustering on the final digit of 0 is significantly higher during the morning call auction and early in the trading day. We find no evidence of price clustering for the digit 8, but there is a significant dearth of prices ending in the inauspicious number 4. Price clustering is significantly higher for negotiated block trades, for which about 28% end with 0. Multivariate analysis shows that price clustering is lower for more liquid firms, but higher for firms with higher return volatility, a higher price level, or when the market is volatile. Our evidence supports the costly negotiation hypothesis. Our results also support the attraction hypothesis in that we document significant price clustering at round numbers and even numbers even after controlling for factors that are associated with price uncertainty.

Suggested Citation

  • Bill Hu & Christine Jiang & Thomas McInish & Haigang Zhou, 2017. "Price clustering on the Shanghai Stock Exchange," Applied Economics, Taylor & Francis Journals, vol. 49(28), pages 2766-2778, June.
  • Handle: RePEc:taf:applec:v:49:y:2017:i:28:p:2766-2778
    DOI: 10.1080/00036846.2016.1248284
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2016.1248284
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2016.1248284?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
    ---><---

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

    Citations

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


    Cited by:

    1. Hu, Bill & McInish, Thomas & Miller, Jonathan & Zeng, Li, 2019. "Intraday price behavior of cryptocurrencies," Finance Research Letters, Elsevier, vol. 28(C), pages 337-342.
    2. 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.
    3. Christos Alexakis & Mark Cummins & Michael Dowling & Vasileios Pappas, 2018. "A High-Frequency Analysis of Price Resolution and Pricing Barriers in Equities on the Adoption of a New Currency," Post-Print hal-01994666, HAL.
    4. Vladim'ir Hol'y & Petra Tomanov'a, 2021. "Modeling Price Clustering in High-Frequency Prices," Papers 2102.12112, arXiv.org, revised Mar 2021.
    5. Samuel Tabot Enow, 2022. "Price Clustering in International Financial Markets during the COVID-19 Pandemic and Its Implications," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 10(2), pages 46-53.
    6. Christos Alexakis & Mark Cummins & Michael Dowling & Vasileios Pappas, 2018. "A high-frequency analysis of price resolution and pricing barriers in equities on the adoption of a new currency," Applied Economics, Taylor & Francis Journals, vol. 50(36), pages 3949-3965, August.

    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:taf:applec:v:49:y:2017:i:28:p:2766-2778. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.