Abstract
The problem of stability of the Russian banking system is investigated. To describe the state of a commercial bank, we use a system of indicators, proposed by F.T. Aleskerov and his colleagues. For predicting the development of banking system, the machine learning system implemented in the Azure ML is used. To optimize the work of this software, it is suggested to use integral indicators.
Highlights
The current stage of the Russian banking system is characterized by some stabilization and moderate development after several experienced systemic crises
Commercial banks facilitate the transfer of capital from the least efficient sectors and enterprises of the national economy to the most competitive ones
The relevance of the topic is explained by the fact that commercial banks, mobilizing temporarily free funds in the market of credit resources, with their help meet the need of the national economy for working capital, facilitate the transformation of money into capital, and provide the needs of population in consumer credits
Summary
The current stage of the Russian banking system is characterized by some stabilization and moderate development after several experienced systemic crises. The relevance of the topic is explained by the fact that commercial banks, mobilizing temporarily free funds in the market of credit resources, with their help meet the need of the national economy for working capital, facilitate the transformation of money into capital, and provide the needs of population in consumer credits. From their clear and competent activity depends both the effectiveness of the functioning of the banking system, and the Russian economy in general. The subject of the proposed research are the methods of evaluation of commercial banks and the prediction of their future state
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