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

Tian Luo ()
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Tian Luo: Tsinghua University

A chapter in Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate, 2022, pp 386-394 from Springer

Abstract: 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.

Keywords: Real estate enterprises; Private equity; Exit methods; Logistics regression; Information asymmetry (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-19-5256-2_31

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DOI: 10.1007/978-981-19-5256-2_31

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