Applying Correlation Matrix to Identify the Main Factors Influencing Enterprise Performance and Their Utilization to Create Creditworthy Model Cover Image

Applying Correlation Matrix to Identify the Main Factors Influencing Enterprise Performance and Their Utilization to Create Creditworthy Model
Applying Correlation Matrix to Identify the Main Factors Influencing Enterprise Performance and Their Utilization to Create Creditworthy Model

Author(s): Jarmila Horvathova, Gabriela Ižaríková, Martina Mokrisova, Alžbeta Suhányiová
Subject(s): National Economy, Business Economy / Management, Methodology and research technology, Evaluation research, Accounting - Business Administration
Published by: Reprograph
Keywords: creditworthy model; economic value added; financial indicators; sectoral indicators; correlation matrix;

Summary/Abstract: Business performance measurement has become an important phenomenon of today. To measure the performance the variety of methods are used. In addition to the traditional methods, based on the calculation of the conventional indicators of ex- post and ex- ante financial analysis, the modern indicators are beginning to apply. These indicators include effects and risks of surroundings, sectoral indicators and also indicators focused on the future revenues and achievements resulting from the current decisions. The aim of this paper is to point out the performance of the selected industry in the Slovak Republic with the application of all abovementioned methods of the performance evaluation, principally the modern ones. Methods applied in this contribution include comparative analysis, method of scoring and correlation. When building a creditworthy model the method of comparison with mean values respectively the optimum values, as well as the method of scoring will be used. The research and measurements conducted will result in the proposal of the key performance indicators – financial and sectoral - for the given industry and the performance evaluation of the industry with regard to the EVA indicator.

  • Issue Year: IX/2014
  • Issue No: 29
  • Page Range: 359-372
  • Page Count: 14
  • Language: English