摘要
目前很多文献没有对KMV模型的求解过程进行解析,利用KMV模型的研究都得跨过这个基础性的坎。通过利用Matlab语言将KMV模型的求解过程进行模块化,从而将计算机语言与经济数学连接起来,然后利用上市公司对本模块进行实证研究。实证研究结果表明,本模块能快速准确地对KMV模型进行求解,KMV模型可以用于度量我国上市公司的信用风险。
As most of current documentations do not find a detailed solution process of the KMV model,researches based on the KMV model have to bypass this issue.To solve this problem,this paper proposes the KMV modularization by using Matlab language,thus connecting the computer language with economic mathematics.This paper also makes an empirical study of the modularization by taking listed companies as examples.The research results show that this modularization can work out a correct solution to the KMV model,and the KMV model can measure credit risk for listed companies in China.
出处
《湖南科技大学学报（社会科学版）》
CSSCI
北大核心
2010年第6期113-115,共3页
Journal of Hunan University of Science and Technology(Social Science Edition)
