Open AccessModeling of company´s default probability in relation to its credit risk
Author(s) -
Ivana Weissová,
Anna Siekelová,
Katarína Kramárová
Publication year - 2016
Publication title -
global journal of business, economics and management
Language(s) - English
Resource type - Journals
ISSN - 2301-2579
DOI - 10.18844/gjbem.v6i2.1378
Subject(s) - bankruptcy , value (mathematics) , credit risk , order (exchange) , actuarial science , bankruptcy prediction , slovak , relation (database) , going concern , economic value added , business , economics , finance , accounting , computer science , microeconomics , czech , linguistics , philosophy , audit , database , auditor's report , incentive , machine learning
The issue of bankruptcy is very discussed in the modern theory of the company. There are currently many companies that must deal with this issue. They obtain useful information and also use the appropriate tools in order to avoid bankruptcy. Therefore financial analysts are still looking for appropriate ways to predict the bankruptcy of the company. The practical part of the following contribution consists of three steps. At the beginning we randomly selected five Slovak companies. Next we chose four predictive models which are calculated for the last one year. Then we chose the method of Economic Value Added as a method by which we can measure the value of the company. We calculate the Economic Value Added for the last one year in selected companies. Finally, we compare the results of predictive models with the results of Economic Value Added to evaluate the risk of bankruptcy in selected companies. The aim of this paper will be captured the dependence between selected predictive models and Economic Value Added and based on these calculation capture credit risk of these companies.
Keywords: credit risk, predictive model, economic value added