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Theoretical and Applied Economics
No. 1 / 2012 (566)

Using Quantitative Data Analysis Techniques for Bankruptcy Risk Estimation for Corporations

Ştefan Daniel ARMEANU
Bucharest Academy of Economic Studies
Georgeta VINTILĂ
Bucharest Academy of Economic Studies
Maricica MOSCALU
Bucharest Academy of Economic Studies
Bucharest Academy of Economic Studies
Bucharest Academy of Economic Studies

Abstract. 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.

Keywords: aggregate indicator; scoring function; principal components; bankruptcy risk; company.

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Marin Dinu

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The Economicity. The Epistemic Landscape, Marin Dinu, 2016


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