期刊名称：Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie
印刷版ISSN：1844-7007
出版年度：2013
期号：4
页码：176-194
语种：English
出版社：Academica Brâncuşi
摘要：In the economic and financial analysis,the need to classify companies in terms of categories,the delimitation of which has to be clear and natural occurs frequently.The differentiation of companies by categories is performed according to the economic and financial indicators which are associated to the above.The clustering algorithms are a very powerful tool in identifying the classes of companies based on the information provided by the indicators associated to them.The last decade imposed to the economic and financial practice the use of economic value added as an indicator of synthesis of the entire activity of a company.Our study uses a sample of 106 companies in four different fields of activity;each company is identified by: Economic Value Added,Net Income,Current Sales,Equity and Stock Price.Using the ascending hierarchical classification methods and the partitioning classification methods,as well as Ward’s method and kmeans algorithm,we identified on the considered sample an information structure consisting of 5 rating classes.
关键词：ANOVA analysis;clustering algorithms;rating;Economic Value Added (EVA)
