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Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Currently, the principal component analysis (PCA) is mostly carried out under traditional financial indicators. Few scholars have adopted new ratios to make a PCA, since cash flow information was introduced to the financial evaluation index system. This paper selects 33 power enterprises from Shanghai and Shenzhen stock markets as samples, and chooses financial evaluation indicators based on cash flow information as original variables. Subsequently it extracts four principal components (PCs) that are able to reflect financial position of selected firms through the PCA. Finally the article lists the ranking of each principal component and comprehensive performance for all these firms by calculating the principal component scores, and moreover, explains the ranking clearly. Each ranking is of great importance in guiding external information users to make investment decisions and internal managers to evaluate financial performance.