IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-981-19-5256-2_31.html
   My bibliography  Save this book chapter

A Study on the Impact of Real Estate Firm Characteristics on the Exit Mode of Private Equity Investors Based on Logistics Regression Model

In: Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Tian Luo

    (Tsinghua University)

Abstract

The exit method of private equity investors in the real estate industry is closely related to the basic characteristics of real estate enterprises. This article collects and sorts out china's real estate 588 in 2015–2020 The influence of the characteristics of real estate enterprises on the choice of exit method of private equity investors is analyzed by using univariate detection and binary logistics regression model. The study shows that PE investors are more likely to choose to exit by IPO when the number of private equity investors is larger and the time of establishment at the time of exit is smaller; and the IPO possibility of the property management and real estate transaction industry is greater than that of other industries; and geographical differences also significantly affect the choice of exit method.

Suggested Citation

  • Tian Luo, 2022. "A Study on the Impact of Real Estate Firm Characteristics on the Exit Mode of Private Equity Investors Based on Logistics Regression Model," Lecture Notes in Operations Research, in: Hongling Guo & Dongping Fang & Weisheng Lu & Yi Peng (ed.), Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate, pages 386-394, Springer.
  • Handle: RePEc:spr:lnopch:978-981-19-5256-2_31
    DOI: 10.1007/978-981-19-5256-2_31
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:lnopch:978-981-19-5256-2_31. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.