99-111

• Ionescu, Stefan Alexandru
• Murgoci, Cristiana Stefania
• Gheorghe, Camelia Monica
• Ionescu, Emilia

In this paper we tried to group in three classes the companies listed without interruption for 6 years fromBucharest Stock Exchange. We used cluster analysis, namely an iterative method of clustering, the k-means algorithm.Using data results, we have made tests for the three classes of prediction using discriminant analysis. Fisher's functionshave helped us to make predictions on the affiliation of a new listed company on one of the 3 classes of risk. In thisstudy, emphasis was placed on the liquidity of companies, but also on how efficient are used the raw materials, thebasic elements in the current financial crisis. This should give us a clearer picture of companies that are ready to getover this difficult time.

• Economics and Business

• Οικονομία
• Economics
• Financial management

discriminant analysis, cluster analysis, pattern recognition, stock exchange, portfolio analysis, classifiers

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