Application of Selected Statistical Methods in the Issue Of Enterprise Financial Performance

被引:0
|
作者
Sofrankova, Beata [1 ]
Horvathova, Jarmila [1 ]
Kiselakova, Dana [1 ]
Matkova, Svetlana [1 ]
机构
[1] Univ Presov, Presov, Slovakia
关键词
performance; financial indicators; indicator EVA; PCA; food enterprises;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
Each management discipline presents its own view on performance measurement. Financial management prefers a set of financial indicators, economic analysis and accounting in turn, controlling, strategic management implements strategic system of performance measurement and quality management assesses the performance of the system with the help of precisely defined indicators and areas of evaluation. Measuring the performance of enterprises has undergone in its historical evolution from the current reporting profit margins through profit maximization, various types of profitability indicators and the criteria for achieving value for owners. During the last period there have been many significant changes not only in performance measurement approaches, but also changes in the use of methods and tools of performance. The aim of our paper is to analyze and identify key indicators of enterprise performance through the selected statistical methods. The basis for the elaborating the paper were secondary data from the financial statements of the 200 selected food enterprises. There were selected indicator EVA as the one of modern performance indicator and 41 financial indicators which were grouped into seven groups and to detect interrelations correlation analysis and Principal Component Analysis (PCA) were used. Using the method of PCA, we identified two principal components, on which the performance of the enterprise depends. In terms of indicators, the performance depends mainly on the cost, efficiency and profitability, but what was not confirmed by us is high relationship on liquidity and property commitment, which could be due to the methodology for calculating the price for the equity using model CAPM.
引用
收藏
页码:1336 / 1345
页数:10
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