Theoretical and Applied Economics
No. 1 / 2012 (566)
Using Quantitative Data Analysis Techniques for Bankruptcy Risk Estimation for Corporations
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.
Keywords: aggregate indicator; scoring function; principal components; bankruptcy risk; company.
Contents
- Testing the Asymmetry of Shocks with Euro Area
Marius-Corneliu MARINAŞ
- The Population and the Labor Force Market
Constantin ANGHELACHE
- Negative Income Tax and Labor Market Participation.
A Short Run Analysis
Samir AMINE
Pedro LAGES DOS SANTOS
- Sustainable Development of South-West Oltenia
Region in the Current Economic Crisis
Camelia MARIN
Isabella SIMA
Mihaela RUXANDA
- The New and the Future Look of the Economy
Liliana CRĂCIUN
- The Spread of Economic Ideas among Romanian
People. Case Study: Alexandru D. Xenopol
Angela ROGOJANU
Liana BADEA
Laurenţiu-George ŞERBAN-OPRESCU
- Using Quantitative Data Analysis Techniques
for Bankruptcy Risk Estimation for Corporations
Ştefan Daniel ARMEANU
Georgeta VINTILĂ
Maricica MOSCALU
Maria-Oana FILIPESCU
Paula LAZĂR
- The New Governance and Globalization
Costantin ROMAN
Aureliana Geta ROMAN
Alexandru BOGHIU