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CREDIT RISK ANALYSIS FOR THE TELECOMMUNICATION COMPANIES OF RUSSIA: FUZZY MODEL. COMPARISON OF THE RESULTS
Abstract
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 models.
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Valášková K., Quantification of the Company Default by Merton Model, In: 4th International Conference on Applied Social Science (ICASS 2014), Advances in Education Research, Singapore, vol. 51, pp. 133-138, 2014.
Ледовский Д.О., Моделирование кредитного риска предприятий на основе классификационного подхода, Аудит и финансовый анализ, Россия, № 3, с. 354- 367, 2007.
Zadeh L.A., Fu K.S, Tanaka K., Shimura , Fuzzy sets and their applications to Cognitive and Decision Processes. Academic Press, New York, 1975.
Nedosekin A.O., Financial management with fuzzy sets, http://an.ifel.ru/docs/FFM_AN.pdf [accessed 04.04.2015].
Недосекин А.О., Финансовый менеджмент на нечетких множествах, Аудит и финансовый анализ, Россия, № 3, 2003, 94с.
Valášková K., Gavlaková P., Dengov V., Assessing Credit Risk by Moody´s KMV Model, 2 nd International Conference on Economics and Social Science (ICESS 2014), Advances in Education Research, China, vol.61, pp.40-44, 2014.
Pashkus V. Y., Pashkus N.A., Asadulaev A. B., Bulina A.O., Socio-Cultural Sphere, Governance and City Branding in New Economy, Review of European Studies, Canada, vol. 7, No. 6, pp. 86-92, 2015.
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