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Authors: Katranzhy, Leonid
Podskrebko, Oleksandr
Krasko, Vitaliy
Keywords: bank’s regulatory capital, capital ratios, adequacy of regulatory capital, forecasting, neural networks, modelling
Issue Date: Jan-2018
Publisher: Baltic Journal of Economic Studies, Baltija Publishing
Series/Report no.: Vol. 4, No. 1;
Abstract: The purpose of the article is to develop scientific and methodological recommendations for modelling thedynamics of the level of capital adequacy for ensuring the financial balance of the bank, sufficient controllability and increasing the efficiency of its activities. The article explores peculiarities of banking regulation and supervision in the process of capital formation. It is shown that the issue of formation of capital by banking institutions is actualized in the context of management reform and target tasks of the development of the banking industry of Ukraine. Given the state of the banking services market and its development trends, the unsettled problem of the capitalization of banks, it becomes important to improve the mechanism of capital formation. In order to improve the efficiency of bank regulation and management of capital formation, recommendations are proposed for modelling the dynamics of the adequacy of regulatory capital on the basis of determining the forecast values of its components. Research methodology: the feasibility of using predictive models with the use of artificial neural networks is substantiated. In contrast to the classic trend, discussed in the article, the models with the architecture of the multilayer perceptron proved to be the most adequate and accurate. In addition to a point forecast of the dynamics of regulatory capital, the overall risk and the amount of the net foreign exchange position, their pessimistic and optimistic forecasts were constructed. The author’s proposals are formalized by appropriate calculation algorithms. Modelling the dynamics of the adequacy of regulatory capital and its components in practice will allow more efficiently manage systemic and individual banking risks.
Description: -
ISSN: ISSN 2256-0742 (PRINT) , ISSN 2256-0963 (ONLINE)
Appears in Collections:Катранжи Леонід Леонідович, к.е.н., доцент кафедри ОФЕБ

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