Application Of Multivariate Statistical Analysis In The Establishment Of Performance Evaluation System Of Listed Companies

Performance evaluation of enterprises is the use of scientific methods with specific targets and standards for assessment of the results which enterprises operate during the certain time and associated with all aspects which is real, objective and fair, as a means of measuring for the degree of realization of the goal of enterprises for a certain period of time. Performance of listed companies is the use of certain targets and means by which the listed companies are to measure after a certain period after the production and management to create value for shareholders of the number. Performance evaluation of enterprises is an integral part of control and plan of enterprises, is an important agenda of enterprises. It plays an oriented role in the operation and management of enterprises. The selection of metrics of performance evaluation of enterprises will directly affect the behavior of companies and individuals, which is related to the business purpose, values, strategic planning and decision-making and other aspects.The number of financial indices of listed companies is large. In this paper, the method integrating K-clustering with principal component analysis and stepwise regression analysis to decide the classification and indices of listed companies is proposed and objective comprehensive evaluation model with entropy method objective weighting is build. In this empirical test, the performance evaluation of listed companies in IT is chosen as object to study, which contains 30 listed companies with 34 financial indices in 2006. First of all, using K-means clustering, the number of cluster can be determined according to the size of the F-means value, and then the indices of classes including more indices are analyzed by the method of principal component analysis and stepwise regression analysis. Considering the real conditions together with actual meaning of indices, 11 indices such as stockholders equity, total profits, net cash flows from operating activities, cash flow from investing activities, receipts from other finance activities, BVPS, ROE, asset liability ratio, OPE, total capital profit ratio, fixed assets ratio are chosen from 34 indices at last. Furthermore, objective comprehensive evaluation model which is entropy method to determine weights is built and gets comprehensive evaluation of values of sample companies. Based on values, listed companies are classified by three standards: good performance, general performance, poor performance. Lately, based on the evaluation system of 11 indices, significant differences in the eight indices of stockholders equity, total profits, net cash flows from operating activities, cash flow from investing activities, BVPS, ROE, asset liability ratio, fixed assets ratio are found with ANOVA, and this differences has made an in-depth analysis.