Logistic Model-based Prediction of Financial Distress of Listed Chinese Real Estate Companies

Yueru Chai; Yixin Gan; Yiou Wang

doi:10.2991/978-94-6463-268-2_17

<Previous Article In Volume

Next Article In Volume>

Logistic Model-based Prediction of Financial Distress of Listed Chinese Real Estate Companies

Authors

Yueru Chai¹, Yixin Gan², Yiou Wang³^{, *}

¹Fudan University, Shanghai, 310000, China

²Shanghai International Studies University, Shanghai, 200000, China

³Southwestern University of Finance and Economics, Chengdu, 610000, China

^*Corresponding author. Email: wyo@smail.swufe.edu.cn

Corresponding Author

Yiou Wang

Available Online 10 October 2023.

DOI: 10.2991/978-94-6463-268-2_17 How to use a DOI?
Keywords: Financial Distress Early Warning; Real Estate Companies; Logistic Model
Abstract: With the introduction of restrictive housing price policies in China contemporarily, real estate companies are facing new development challenges. China Evergrande Group’s debt crisis has made people emphasize more on the financial status of real estate companies. In this paper, 20 Chinese A-share companies facing financial distress and 20 companies without financial distress are selected as research samples. A total of 16 financial indicators and non-financial indicators are chosen to establish Logistic-based model. Finally, suitable early warning indicators were screened and a financial distress early warning model with high accuracy was derived. The percentage of administrative expenses has the greatest impact on whether a company is in financial distress, and real estate companies should strengthen their operating cost control. By analyzing the model of real estate companies, the company operators can pay attention to the problems that arise in the company’s operation in advance and can take corresponding measures to avoid the company from falling into financial distress. Overall, these results shed light on guiding further exploration of enterprise financial distress forecast.
Copyright: © 2024 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume

Next Article In Volume>

Volume Title: Proceedings of the 2023 2nd International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2023)
Series: Advances in Economics, Business and Management Research
Publication Date: 10 October 2023
ISBN: 10.2991/978-94-6463-268-2_17
ISSN: 2352-5428
DOI: 10.2991/978-94-6463-268-2_17 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Yueru Chai
AU  - Yixin Gan
AU  - Yiou Wang
PY  - 2023
DA  - 2023/10/10
TI  - Logistic Model-based Prediction of Financial Distress of Listed Chinese Real Estate Companies
BT  - Proceedings of the 2023 2nd International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2023)
PB  - Atlantis Press
SP  - 136
EP  - 145
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-268-2_17
DO  - 10.2991/978-94-6463-268-2_17
ID  - Chai2023
ER  -

download .riscopy to clipboard