摘要
智力资本在知识经济时代对企业的发展至关重要.本文考察Pulic智力资本评测模型是否能够用于企业财务危机预警.首先基于2003年至2007年中国A股市场新增ST公司样本及配对样本的前三年数据对Pulic模型综合指标进行单变量分析证实了该模型的预警可行性,然后根据三项因素驱动指标分别运用多元判别、逻辑回归、神经网络和最小二乘支持向量机方法建立预警模型进行回判和外推.结果表明,Pulic模型在ST前两年具有较高的判断准确性,可以通过对智力资本的考察而预知企业未来的财务状况.
Intellectual Capital is crucial for the development of enterprise in the knowledge economy era. This paper studies whether Pulic's intellectual capital model can be used for early warning of financial distress. After verifying the feasibility of the model based on univariate analysis, this paper uses four dominating methods of multivariate discrimination, logistic regression, neural network and least squares support vector machine to carry out empirical study according to three driving indexes deduced by Pulic's model. Result shows these four methods have good classification abilities before two years, and it is possible for Pulic's model to predict financial states of enterprise in the future.
出处
《数理统计与管理》
CSSCI
北大核心
2009年第2期309-317,共9页
Journal of Applied Statistics and Management
基金
教育部博士学科点专项科研基金“动态竞争环境下基于核心能力战略的企业集团危机预警系统研究”资助(N0.20050286038)
关键词
智力资本模型
单变量分析
多元判别分析
逻辑回归
神经网络
最小二乘支持向量机
intellectual capital model, univariate analysis, multivariate discrimination, logistic regression, neural network, least squares support vector machine