Chapter
Aug 14, 2017
International Conference on Construction and Real Estate Management 2016

Financial Risk Early Warning and Prevention Research of Real Estate Companies in China

Publication: ICCREM 2016: BIM Application and Off-Site Construction

ABSTRACT

Based on the analysis of the characteristics of the real estate industry listed companies in China, the paper selects 28 practicable real estate companies as research objects and representative indicators of 2014 such as profitability indicator, operation ability indicator, debt paying ability indicator, and growing capability indicator, using factor analysis and logistic regression equation to establish financial risk early warning model. At the same time, in order to further enhance the effectiveness of the early warning model, the sensitive cash flow index is introduced into the enterprise’s financial situation in the construction of a financial risk early warning model; thus, the financial risk early warning system is of great significance. Based on the newly built early warning model, a new way of thinking is proposed to improve the measurement of preventing the real estate enterprise financial risk.

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REFERENCES

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Information & Authors

Information

Published In

Go to ICCREM 2016
ICCREM 2016: BIM Application and Off-Site Construction
Pages: 1355 - 1362
Editors: Yaowu Wang, Ph.D., Professor, Harbin Institute of Technology, Mohamed Al-Hussein, Ph.D., Professor, University of Alberta, Geoffrey Q. P. Shen, Ph.D., Professor, The Hong Kong Polytechnic University, and Yimin Zhu, Ph.D., Professor, Louisiana State University
ISBN (Online): 978-0-7844-8027-4

History

Published online: Aug 14, 2017

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Langshu Bao [email protected]
Master, School of Management, Harbin Institute of Technology, Harbin, China, 150001. E-mail: [email protected]
Professor, School of Management, Harbin Institute of Technology, Harbin, China, 150001. E-mail: [email protected]

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