An Empirical Analysis of the Effects of Investment Strategies for China Automobile Industry
The current global economic crisis has put forward unprecedented challenges to the investment strategies for automobile industry. This thesis analyzes the financial index of the listed companies of automobile industry by using the mining technology of statistical data. It collects the main financial index of 66 listed companies of automobile industry to analyze the factors, reduces the variables by using the approach of extracting the principal components, and sums up the four main factors which affect the company’s financial situations. And then it carries out the cluster analysis of the 66 listed companies of automobile industry and classifies the managing grades of the individual company. At last, this paper evaluates the managing situations of the individual company comprehensively according to the effects of the factor analysis as well as the cluster analysis, and guides the investors to make the right decisions.
Listed Companies Data Mining Factor Analysis Cluster Analysis SPSS
LIN Ting FENG Changhuan
School of Mathematics and Information China West Normal University, P.R.China, 637002
国际会议
2009 International Institute of Applied Statistics Studies(2009 国际应用统计学术研讨会)
青岛
英文
1-5
2009-07-25（万方平台首次上网日期，不代表论文的发表时间）