**6. Using the discriminating statistical models in determining of financial and the financial condition and the risk analysis**

The financial condition of an economic agent can be considered a qualitative indicator that characterizes the overall activity of the economic agent, is subjected continuously to the influence of quantitative variables. This allows the use of statistical discriminant analysis to determine the financial status of an economic agent (in-depth presentation of this method and of the models developed on its basis was performed by Anghel [14]. The best known method from the specified category is the scores method. For variables taken into account are determined certain weights so that their sum reflects a global indicator called" The Z score ". This method involves the building of a database with information on a group of bankrupted companies and a group of healthy companies that allow calculation of financial ratios for each entity subject to the analysis and the determination of the best combination of rates that allow the differentiation of the companies analyzed. Basically, the indicator resulting (statistical discriminant model) reflect the overall situation of the company with manifest and predictability. One of the first score functions used in the analysis of default risk was developed by Altman in 1968, which allows the registration of a degree of predictability of 75% of bankruptcies two years prior to their production [15] . The model was further developed to be applied in all branches. Altman model is frequently used in financial practice and enable a correct the result in the classification of 70% [16].

It should be mentioned also other important models: the Conan – Holder model [17], the model of the Central Balances of the France Bank or the method of the French Commercial Credit. In the Romanian school, the possibility to determine this pattern was limited because the transition from the centralized economy to the market economy was quite large and the information required was not available or relevant. However, the significant concerns embodied in the formulation of the scoring models have many authors [18 -20, 14]. The application of scoring functions in the Romanian economy cannot yet be considered as a safe situation of risk management. We believe that the models that have demonstrated the applicability of the developed economies do not correspond to an economy characterized by high instability. In addition, the proper identification of the bankrupt companies, the long absence of the legislative provisions governing the bankruptcy, the lack of analysis of a wider range of firms before bankruptcy, focusing on financial variables without including non-financial indicators and trying to develop the models available in all branches reflect some of the aspects that require the completion of the risk management techniques based on a discriminant analysis with other possibilities.
