科研管理 ›› 2009, Vol. 30 ›› Issue (1): 45-55 .

• 论文 • 上一篇    下一篇

企业财务预警模型研究 ——基于中报数据与可持续增长模型的重构

康晓玲1,张懿2   

  1. 1西南财经大学会计学院,四川 成都610074;
    2西南财经大学金融学院,四川 成都610074
  • 收稿日期:2008-04-28 修回日期:1900-01-01 出版日期:2009-02-04 发布日期:2009-02-04

Research on the model of enterprise’s financial crisis prediction ——Rebuilding the model based on the data of semi-annual financial reports and SGR model

Kang Xiao Ling1, Zhang Yi2   

  1. 1. School of Accounting, Southwestern University of Finance and Economics, Chengdu 610074, China;
    2. School of Finance, Southwestern University of Finance and Economics, Chengdu 610074, China
  • Received:2008-04-28 Revised:1900-01-01 Online:2009-02-04 Published:2009-02-04

摘要: 摘要:针对目前我国财务预警研究中存在的不足,本文以研究过程中是采用中报数据还是年报数据为依据,将上市公司财务预警分为短期和长期,并采用Logistic结合逐步回归的分析方法进行研究。在短期预警研究中,通过对基于一季度报和半年报的比较研究得出基于前者所建模型更具时效性;在长期预警研究中,通过引入企业增长率偏离程度进行实证研究后得出,要构建有效的长期预警模型应更多地考虑对企业具有重要经济意义的非财务指标。

关键词: 财务预警, 短期, 长期, SGR模型

Abstract: Abstract: Considering the deficiencies in the recent researches on financial crisis prediction, firstly, financial crisis prediction of listed companies was divided into short-term financial crisis prediction and long-term financial crisis prediction by using the data of semi-annual financial reports or annual financial reports in the research process, and then using the method of logistic model combining with step by step regression analysis, the prediction was researched. In short-term study of financial crisis prediction, the model built by the data from the first quarter financial reports will be more timely and effective than that from semi-annual financial reports through comparative researching. In long-term study of financial crisis prediction, in order to build an effective long-term financial crisis prediction model ,non-financial indicators which have important economics meaning should be considered according to the results of empirical research after introducing the indicators that reflect actual growth deviation extent from sustainable growth. Key words: financial crisis prediction; short-term; long-term; SGR model

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