EFFECT OF TRADITIONAL PERFORMANCE VALUATION RATIOS ON ECONOMIC VALUE ADDED: AGRICULTURE AND LIVESTOCK SECTOR APPLICATION

Abstract

In this study, it has been tried to predict the economic value added (EVA) with traditional performance appraisal rates. The researches were carried out in a company in the agriculture and livestock sector in Borsa Istanbul AŞ between 01.01.2013-31.12.2019. Regression analyzes were calculated using the SPSS 20 program. EVA was accepted as the dependent variable in the regression analysis. Return on assets, return on equity, earnings per share, price / earnings ratio, market value / book value and return on sales ratios are accepted as independent variables. 63 regression models were created. Among the most meaningful models, the models with the highest explanatory power were determined and interpreted. With the independent variables of return on assets and return on sales, a model with an explanation power of 99.1%, meaningful and not auto correlated was determined.