Application of Multivariate Statistics in Early-warning of Corporation Financial Crisis
LI Jie~1,WANG Wei-jia~2,LIU Xing-zhi~1
DOI:10.11835/j.issn.1674-4764.2004.05.026
Received ,Revised June 02, 2004, Accepted , Available online July 01, 2015
Volume ,2004,Pages 118-123
- Abstract
This paper is focused on early warning of corporation financial crisis for the China's household electric appliance manufacturers in stock market. Firstly, using company's open-disclosed annual statements as data resource, the financial indexes system is constructed. Secondary, adopting the multivariable statistical analysis method, such as cluster, discriminate and principle component analysis, the multivariate models for the empirical study on early warning of financial crisis by making use of SPSS statistical software are set up. The corporation might discover the financial affairs crisis that shall probably arise beforehand by using the financial affairs crisis early warning system. This study and analysis may serve as reference for domestic industries and enterprises.