Principal Components Analysis on Financial Crisis in Listed Company of China
A financial pre-alarming system for companies based on principal components analysis and cluster analysis is built. We chose 26 targets which can reflect companies’ financial status all-sided,and analyze the last three year’s datum of the companies with principal components analysis and SPSS software,obtained synthesis points. Then cluster analysis is used to plot out all companies into 2grades or 3grades. Results show that the error of 3grade cluster is 7. 7％,and error of 2grade cluster is less than 15.4％. False datum will interfere the perform ance of the system.
Financial crisis principal components analysis cluster analysis financial pre-alarming
WEI Zishuai CHEN Zhiya
School of Business,Central South University,P. R. China
国际会议
Zhengzhou Conference Conference on Management of Technology(2009郑州技术管理研讨会 MOT2009)
郑州
英文
712-716
2009-04-17（万方平台首次上网日期，不代表论文的发表时间）