APPLICATION OF PROGNOSTIC MODELS OF BUSINESS ANALYSIS IN BUSINESS DECISION MAKING Cover Image

APPLICATION OF PROGNOSTIC MODELS OF BUSINESS ANALYSIS IN BUSINESS DECISION MAKING
APPLICATION OF PROGNOSTIC MODELS OF BUSINESS ANALYSIS IN BUSINESS DECISION MAKING

Author(s): Lejla Skopljak, Sanela Salkić, Muhamed Bajrić
Subject(s): Economy, Business Economy / Management, Policy, planning, forecast and speculation
Published by: INTERNACIONALNI UNIVERZITET TRAVNIK
Keywords: business decisions; financial statements; forecasting models of business analysis; BEX model; Altman z-score model;

Summary/Abstract: In today's uncertain business environment for business management, making business decisions is a big challenge. The basic information it uses in the decision-making process is the accounting information that is incorporated in the financial statements. In order for the financial statements to be useful for decision making, it is necessary to do an analysis of the financial statements on the basis of which we can evaluate the quantitative and qualitative characteristics of the business of the company. The forecasting models of business analysis are a late assessment of business performance as well as a forecast of future business. The information we get from using these models serves management and all interested users to make decisions. In this paper, we will apply the BEX model, which was primarily developed for the Croatian market, and the Altman Z-score model, which is widespread, to the telecom sector in BiH. The aim is first of all to obtain business results and a forecast of future business and after that to make a comparative analysis of the results of these two models.

  • Issue Year: 6/2018
  • Issue No: 11
  • Page Range: 61-67
  • Page Count: 7
  • Language: English
Toggle Accessibility Mode