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Using Quantitative Data Analysis Techniques for Bankruptcy Risk Estimation for Corporations

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  • Ştefan Daniel ARMEANU

    (Bucharest Academy of Economic Studies)

  • Georgeta VINTILĂ

    (Bucharest Academy of Economic Studies)

  • Maricica MOSCALU

    (Bucharest Academy of Economic Studies)

  • Maria-Oana FILIPESCU

    (Bucharest Academy of Economic Studies)

  • Paula LAZĂR

    (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.

Suggested Citation

  • Ştefan Daniel ARMEANU & Georgeta VINTILĂ & Maricica MOSCALU & Maria-Oana FILIPESCU & Paula LAZĂR, 2012. "Using Quantitative Data Analysis Techniques for Bankruptcy Risk Estimation for Corporations," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(1(566)), pages 97-112, January.
    • Handle: RePEc:agr:journl:v:1(566):y:2012:i:1(566):p:97-112
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    Cited by:

    1. Nicoleta Bărbuță-Mișu & Mara Madaleno, 2020. "Assessment of Bankruptcy Risk of Large Companies: European Countries Evolution Analysis," JRFM, MDPI, vol. 13(3), pages 1-28, March.
    2. Loredana Cultrera & Mélanie Croquet & Jérémy Jospin, 2017. "Predicting Bankruptcy of Belgian SMEs: A Hybrid Approach Based on Factorial Analysi," International Business Research, Canadian Center of Science and Education, vol. 10(3), pages 33-41, March.
    3. Gheorghita DINCA & Mirela Camelia BABA & Marius Sorin DINCA & Bardhyl DAUTI & Fitim DEARI, 2017. "Insolvency Risk Prediction Using the Logit and Logistic Models: Some Evidences from Romania," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 51(4), pages 139-157.

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