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Research on Financial Distress Diagnosis of Real Estate Listed Companies Based on PCA-Logistic Model

In: Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022)

Author

Listed:
  • Yu Jiang

    (Chengdu University, Business School)

  • Kai Xu

    (Chengdu University, Business School)

  • Yan Hu

    (Neijiang Normal University, School of Economics and Management)

  • Dongyang Li

    (Chengdu University, Business School)

  • Dongxu Long

    (Southwest Jiaotong University, School of Mechanical Engineering)

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.

Suggested Citation

  • Yu Jiang & Kai Xu & Yan Hu & Dongyang Li & Dongxu Long, 2023. "Research on Financial Distress Diagnosis of Real Estate Listed Companies Based on PCA-Logistic Model," Advances in Economics, Business and Management Research, in: Sen Qiao & Hongbin Cao & Aiwen Liu & Xueliang Chen & Tiefei Li (ed.), Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022), pages 306-312, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-194-4_43
    DOI: 10.2991/978-94-6463-194-4_43
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