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  • 标题:Using Quantitative Data Analysis Techniques for Bankruptcy Risk Estimation for Corporations
  • 本地全文:下载
  • 作者:Armeanu, Dan ; Vintila, Georgeta ; Moscalu, Maricica
  • 期刊名称:Theoretical and Applied Economics
  • 印刷版ISSN:1841-8678
  • 电子版ISSN:1844-0029
  • 出版年度:2012
  • 卷号:XVIII(2012)
  • 期号:1(566)
  • 页码:97-112
  • 出版社:Asociatia Generala a Economistilor din Romania - AGER
  • 摘要: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.
  • 关键词:aggregate indicator; scoring function; principal components; bankruptcy risk; company.
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