Using Quantitative Data Analysis Techniques for Bankruptcy Risk Estimation for Corporations

Using Quantitative Data Analysis Techniques for Bankruptcy Risk Estimation for Corporations

Diversification of methods and techniques for quantification and management of risk has led to the development of many mathematical models, a large part of which focused on measuring bankruptcy risk for businesses. In financial analysis there are many indicators which can be used to assess the risk...

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Bibliographic Details
Published in:Theoretical and applied economics Vol. XIX; no. 1; pp. 97 - 112
Main Authors: Ştefan Daniel ARMEANU, Georgeta VINTILĂ, Maricica MOSCALU, Maria-Oana FILIPESCU, Paula LAZĂR
Format: Journal Article
Language:English
Published: General Association of Economists from Romania 01-01-2012
Subjects:
aggregate indicator
bankruptcy risk
company
principal components
scoring function
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Summary:Diversification of methods and techniques for quantification and management of risk has led to the development of many mathematical models, a large part of which focused on measuring bankruptcy risk for businesses. In financial analysis there are many indicators which can be used to assess the risk of bankruptcy of enterprises but to make an assessment it is needed to reduce the number of indicators and this can be achieved through principal component, cluster and discriminant analyses techniques. In this context, the article aims to build a scoring function used to identify bankrupt companies, using a sample of companies listed on Bucharest Stock Exchange.
ISSN:1841-8678
1844-0029