Research on Financial Distress Diagnosis of Real Estate Listed Companies Based on PCA-Logistic Model
- DOI
- 10.2991/978-94-6463-194-4_43How to use a DOI?
- Keywords
- Financial Distress; Listed Real Estate Companies; Principal Component Analysis; Logistic Regression
- Abstract
Financial distress diagnosis is of great significance to the risk prevention and control and sustainable operation of real estate industry. This paper takes China's a-share listed real estate companies as samples, selects financial indicators based on the characteristics of the real estate industry, and uses PCA-Logistic system to build a model of the second year before the enterprise falls into financial difficulties. The results show that the company's profitability and capital market performance factors contribute the most to the prediction, and the prediction accuracy is high. The suc-cessful construction of the model provides a basis for decision-makers to accurately and prospectively judge the fi-nancial distress of real estate companies.
- Copyright
- © 2023 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.
Cite this article
TY - CONF AU - Yu Jiang AU - Kai Xu AU - Yan Hu AU - Dongyang Li AU - Dongxu Long PY - 2023 DA - 2023/07/21 TI - Research on Financial Distress Diagnosis of Real Estate Listed Companies Based on PCA-Logistic Model BT - Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022) PB - Atlantis Press SP - 306 EP - 312 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-194-4_43 DO - 10.2991/978-94-6463-194-4_43 ID - Jiang2023 ER -