Corporate financial distress diagnosis model and application in credit rating for listing firms in China

被引:0
|
作者
Ling Zhang
Edward I. Altman
Jerome Yen
机构
[1] Hunan University,College of Business Administration
[2] New York University,Salomon Center
[3] Hong Kong University of Science and Technology,Business School
关键词
financial distress; discriminant analysis; credit rating; listing firms;
D O I
暂无
中图分类号
学科分类号
摘要
With the enforcement of the removal system for distressed firms and the new Bankruptcy Law in China’s securities market in June 2007, the development of the bankruptcy process for firms in China is expected to create a huge impact. Therefore, identification of potential corporate distress and offering early warnings to investors, analysts, and regulators has become important. There are very distinct differences, in accounting procedures and quality of financial documents, between firms in China and those in the western world. Therefore, it may not be practical to directly apply those models or methodologies developed elsewhere to support identification of such potential distressed situations. Moreover, localized models are commonly superior to ones imported from other environments.
引用
收藏
页码:220 / 236
页数:16
相关论文
共 50 条
  • [1] Corporate financial distress diagnosis model and application in credit rating for listing firms in China
    Zhang, Ling
    Altman, Edward I.
    Yen, Jerome
    FRONTIERS OF COMPUTER SCIENCE IN CHINA, 2010, 4 (02): : 220 - 236
  • [2] Corporate Social Responsibility Rating, Corporate Governance, and Financial Distress: Evidence from China
    Guotai, Chi
    Khalil, Hassan
    Erraja, Chayma
    ASIA-PACIFIC JOURNAL OF FINANCIAL STUDIES, 2023, 52 (01) : 6 - 34
  • [3] Peer firms' credit rating changes and corporate financing
    Hung, Chi-Hsiou D.
    Naeem, Shammyla
    Wei, K. C. John
    EUROPEAN JOURNAL OF FINANCE, 2020, 26 (01): : 41 - 63
  • [4] Is financial distress of brazilian firms related to corporate governance?
    dos Santos, Renato Ribeiro
    Peixoto, Fernanda Maciel
    REVISTA DE GESTAO E SECRETARIADO-GESEC, 2023, 14 (03): : 2778 - 2804
  • [5] A corporate credit rating model with autoregressive errors
    Hirk, Rainer
    Vana, Laura
    Hornik, Kurt
    JOURNAL OF EMPIRICAL FINANCE, 2022, 69 : 224 - 240
  • [6] An explainable SSA-CatBoost machine learning model and application in corporate credit rating: evidence from China
    Yang, Ruicheng
    Wang, Pucong
    Li, Li
    Yong, Sheng
    ANNALS OF OPERATIONS RESEARCH, 2025,
  • [7] Application of selected scoring models on corporate credit rating
    Novotna, Martina
    PROCEEDINGS OF THE 29TH INTERNATIONAL CONFERENCE ON MATHEMATICAL METHODS IN ECONOMICS 2011, PTS I AND II, 2011, : 511 - 516
  • [8] Effects of listing on the financial behavior of private-sector firms in China
    Yano, Go
    Shiraishi, Maho
    Xu, Gang
    PACIFIC-BASIN FINANCE JOURNAL, 2024, 85
  • [10] Corporate sensitivity to sovereign credit distress: the mitigating effects of financial flexibility
    Vu, Huong
    Klusak, Patrycja
    Khoo, Shee-Yee
    Alsakka, Rasha
    EUROPEAN JOURNAL OF FINANCE, 2024, 30 (15): : 1728 - 1756