IDEAS home Printed from https://ideas.repec.org/a/mes/emfitr/v51y2015i1p160-173.html
   My bibliography  Save this article

Pyramid IPOs on the Chinese Growth Enterprise Market

Author

Listed:
  • Martin Holmén
  • Peng Wang

Abstract

In this article, we investigate initial public offerings (IPOs) of high-tech firms on the Chinese Growth Enterprise Market (GEM). Almost half of the GEM IPOs are set up in pyramid structures. The likelihood of a pyramid structure increases with the size of the IPO firm and state control. Our results do not suggest that pyramids are set up to overcome financial constraints. However, we document that pyramid IPOs are discounted before the IPO. The subscription price-to-book ratio is significantly lower for pyramid IPOs, and this translates into higher underpricing. We conclude that IPO investors demand a higher risk premium when investing in pyramid IPOs.

Suggested Citation

  • Martin Holmén & Peng Wang, 2015. "Pyramid IPOs on the Chinese Growth Enterprise Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 51(1), pages 160-173, January.
  • Handle: RePEc:mes:emfitr:v:51:y:2015:i:1:p:160-173
    DOI: 10.1080/1540496X.2015.1011526
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1540496X.2015.1011526
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/1540496X.2015.1011526?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. Li, Xing & Hou, Keqiang, 2019. "R&D based knowledge capital and future firm growth: Evidence from China’s Growth Enterprise Market firms," Economic Modelling, Elsevier, vol. 83(C), pages 287-298.
    2. Dezhu Ye & Yunjue Huang & Xian Ye, 2023. "Financial Structure, Technology, and Economic Growth: A Structural Matching Perspective," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 31(1), pages 119-148, January.
    3. Luxing Liu & Keyu Lei & Hong Jin & Yin-Pei Teng, 2023. "R&D Investment, Executive Incentive, and Financial Performance in GEM: Based on Three-Stage Least Squares Method," SAGE Open, , vol. 13(4), pages 21582440231, November.

    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:mes:emfitr:v:51:y:2015:i:1:p:160-173. 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/MREE20 .

    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.