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Systems analysis for assessing the economic security of the region

Kruglov V.N. Candidate of economic sciences, assistant professor of finance and credit, Educational Consortium Srednerussky University (Institute of Management, Business and Technology) ( vladkaluga@yandex.ru )

Dotsenko D.V. graduate faculty of management, Educational Consortium Srednerussky University (Institute of Management, Business and Technology) ( Docenko-777@mail.ru )

Journal: National Interests: Priorities and Security, #21, 2009

The values of most indicators of economic safety at different approaches strongly differ from each other. It hampers the leadthrough of estimation of different regions on the basis of socio-economic information. Therefore the systems analysis is required for organization of activity in this direction, what is above all direction of the article. On the basis of research conclusion is drawn that one of primary tasks at the study of economic safety of region today is development of such system of indexes, which objectively and in good time would reflect the crises phenomena in economies and would be one's own way universal stake of all regions of a Russian Federation. Because most indicators used today, and the more so their systems, does not reflect actual position on places. And this, in same queue, hampers creation in the regions of the effective system of overcoming of crisis.


Рerfection of method of estimation of economic safety of region

Кruglov V.N. candidate of economic sciences, associate professor of department is «Finances and credit»

Dotsenko D.В. graduate student, Institute of management, business and technologies (Кaluga)

Journal: National Interests: Priorities and Security, #15, 2009

Development of new methods of estimation of economic safety of region is today as far as necessary, so and intricate methodological problem. In fact as a matter of fact practically all methods existing today are ineffective and need one or another revision. More frequent than all for estimation of regional crises situations the different systems of indexes are used in a Russian Federation, approaches different from each other are used to estimation and monitoring of economic safety. Thus, approaches in-use at their development differentiate depending on aims research tasks. Foreign and domestic approaches to determination of the indicatives systems of economic safety in a region in a great deal have general lines, however for every approach the method of estimation and monitoring of economic safety is characteristic. In Russia, for example, the systems of indicators and indexes are used, and in place of «Indicators of alarm», as in the West, the thresholds (maximum-critical) values which execute those functions are used. Research authors offer the method of perfection of existent evaluation positions, for creation of single informative database for monitoring of threats and damage caused by them to the economy of regions.


Statistical analysis of bank activities using the advanced clustering

Dotsenko O.S. Sevastopol State University, Sevastopol, Russian Federation ( plakiddin@mail.ru )

Journal: Economic Analysis: Theory and Practice, #7, 2018

Subject The article addresses procedures for statistical and mathematical analysis of bank activities.
Objectives The study aims to improve methods of multidimensional grouping of banks and forecasting their activities using mathematical models, i.e. clustering based on similarity between scalar banks – weighted Euclidean distance, and vector modification of cluster analysis based on similarity – the angle of slope between banks-vectors characterized by weighted indicators.
Methods I apply statistical and mathematical techniques, like statistical observation, banks' grouping by individual indicators and a suite of metrics using the factor, cluster, discriminant and vector analysis, methods of analyzing time series and relationships between indicators.
Results I developed generalized classifications of banks based on three attributes, namely, asset size, weighted Euclidean distance and the slope angle between weighted characteristics of banks. It helps avoid contradictions in grouping the objects and clarify principles of their work by clusters, considering the size of assets and dynamics in slope angles. The forecast of the particular bank's policy using the vector representation of its indicators enabled to assess the bank's stability over the analyzed period of time. The analysis techniques may be useful for bank CEOs, customers and counterparties when choosing a stable and reliable bank.
Conclusions Under the presented methodology, the bank grouping on the basis of a set of indicators is more homogeneous and the principles of bank activities have better interpretations.


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