Subject. This article examines the trends of debt securities owned by Russian banks transferred under a buyback agreement with the Central Bank of the Russian Federation. Objectives. The article aims to determine the parameters of the above-noted trends. Methods. For the study, I used a systems approach based on the methods of statistical, neural network, and cluster analyses. Results. The article identifies the priority of domestic ruble-denominated borrowings and defines the necessary relationships between ruble-denominated debt securities of non-residents and government (municipal) euro-denominated securities. Conclusions and Relevance. The identified parameters of trends in debt securities owned by Russian banks transferred under a buyback agreement with the Central Bank of the Russian Federation indicate the potential of the Russian banking sector. The provisions of the study can help expand the competences of the Government to develop a package plan to cooperate with the Russian banking sector in an efficient way.
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