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中国管理科学 ›› 2004, Vol. ›› Issue (5): 12-16.

• 论文 • 上一篇    下一篇

基于期望违约率模型的上市公司财务困境预警研究

李秉祥1,2   

  1. 1. 西安交通大学应用经济学博士后流动站 西安 710036;
    2. 西安理工大学工商管理学院 西安 710048
  • 收稿日期:2003-08-06 修回日期:2004-07-20 出版日期:2004-10-28 发布日期:2012-03-07
  • 基金资助:
    国家自然科学基金资助项目(70372053;70371021)

The Research of Predicting Financial Distress in Chinese Listed Firms Based on Expected Default Frequency Model

LI Bing-xiang1,2   

  1. 1. Postdoc’s Working Station in Applied Economics, Xi’an Jiaotong University, Xi’an 710061, China;
    2. School of Business Administration, Xi’an University of Technology, Xi’an 710048, China
  • Received:2003-08-06 Revised:2004-07-20 Online:2004-10-28 Published:2012-03-07

摘要: 本文以现代资本结构理论和期权理论为依据,以企业"资不抵债"作为上市公司陷入财务困境的标志,运用资本市场的信息指标(股价)和上市公司财务数据建立期望违约率(EDF)模型,应用于公司财务困境的动态预警,克服了统计预测方法的时期性和滞后性的缺陷。

关键词: 期望违约率, 上市公司, 财务困境, 预警

Abstract: According to modern capital structure theory and option theory,designating that the price of assets is less than debt received by listed firms as the indicator of financial distress(FD),the paper designs the Expected Default Frequency(EDF)model using publicly available financial data and the information index of the capital market,i.e.price of the stock.The model can dynamically predict FD in listed firms and overcome the weakness of statistics models.

Key words: expected default frequency, listed firms, financial distress, prediction

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