Title :
Financial performance evaluation study of the listed power companies based on principal component
Author :
Su, Ya-ran ; Nie, Yan-ping ; Li, Mei-jiu
Author_Institution :
Coll. of Bus. Adm., North China Electr. Power Univ., Beijing, China
Abstract :
The financial performance of power industry as a basic industry of national economy is paid more attention by all kinds of users. Its objectivity and impartiality will directly affect the users´interests and making-decision. Method of financial performance evaluation based on principal components can reduce the effect of subjective factors. The evaluation result may reflect the facts more objectively. To verify the accuracy of new evaluation model, financial performance evaluation is carried out based on the data set of listed power companies. The result shows that the new evaluation method run well and can provide more useful information.
Keywords :
electricity supply industry; financial data processing; principal component analysis; financial performance evaluation; listed power companies; national economy; power industry; principal component analysis; Companies; Cybernetics; Indexes; Machine learning; Power industry; Principal component analysis; Earning ability; Financial performance; Listed power company; Principal component;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4577-0305-8
DOI :
10.1109/ICMLC.2011.6016922