聚类分析和因子分析在股票研究中的应用

选取9项主要财务指标，对汽车及配件行业19家上市公司进行了聚类分析和因子分析,研究结果表明，两种分类方法都能把上市公司区分为蓝筹股、绩优股、一般股和劣质股，与公司的实际情况相符；而且因子分析将财务指标综合为规模效益综合因子、投资效率和主营业务因子3个综合变量，为公司的分类和评估提供了很好的依据。

Application of cluster and factor analysis to stock research

financial ratios from 19 auto manufacturing listed corporations have been studied by means of cluster and factor analysis. It pointed out that good results in classification can be got by any one of the both mothods and they are in good agreement with the practical situations. Moreover, 3 synthetic factors are extracted from the ten variables: the first is related to the scale and benefit of the corporation, the second is related to investment efficiency, and the third is the principal operation factor. They provide good references for classification and assessment of the corporations.