Predikce ekonomické přidané hodnoty v nefinanční instituci

Abstract

In recent years the growth in value of the company is being emphasized. More companies begin to apply the concept of so called shareholder value management, which main purpose is to motivate the managers of the company. The aim of this diploma thesis is to predict the development of economic value added based on the companies´ real financial information sources. Monte Carlo Method has been used to predict the development of EVA indicator. The prediction is based on simulation of estimated stochastic processes of partial financial indicators. The first part deals with approaches to calculation of economic value added indicators and their basic characteristics. The second part of this thesis includes and describes various methods of financial indicators´ prediction. Last part deals with in-depth description of the company. The brief financial analysis was calculated and subsequently the possibilities of testing the prediction of EVA indicator were presented. In the diploma thesis the possibility to predict the economic value added indicator on real data of a company was verified.