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The subject of this cycle consisting of three articles is the analysis of credit risks that Russian telecommunication companies faced before the global economic crisis of 2008-2009. The first article proves the importance of this kind of analysis for the understanding of concentration and centralization processes that has been taking place in this industry within the last 10-15 years. Therein we formulated the goal of the research and the methodology of analysis, as well as chose the models for the express-evaluat...

In this article for the credit risk estimation according to the chosen ratios, we used the model, created upon the theory of fuzzy sets, or in other words – a linguistic model. Under certain conditions, it can have several advantages over the statistic model. In the case of the credit risk estimation for the Russian telecommunication companies, it provided the results that are, in our opinion, more reliable. On the final stage of the research, we carried out the comparison of the results obtained by using both m...

In the first of our articles devoted to the evaluation of the credit risks of Russian telecommunication agencies we have studied the structure of data, carried out the financial and economic evaluation of the objects of our study, established the relationships between the indicators and chose the most representative of them. To do this the authors used the methods of financial and correlation analyses. In this article, we use the statistical model in order to evaluate the credit risks on the basis of those chosen ...