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Modelling The Dynamics Of The Adequacy Of Bank'S Regulatory Capital

Author

Listed:
  • Leonid Katranzhy

    (Department of Accounting, Finance and Economic Security, State Institution of Higher Education "Donetsk National Technical University", Ukraine)

  • Oleksandr Podskrebko

    (Department of Economic Cybernetics and Further Mathematics, State Institution of Higher Education "Donetsk National Technical University", Ukraine)

  • Vitaliy Krasko

    (Department of Economic Cybernetics and Further Mathematics, State Institution of Higher Education "Donetsk National Technical University", Ukraine)

Abstract

The purpose of the article is to develop scientific and methodological recommendations for modelling the dynamics 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.

Suggested Citation

  • Leonid Katranzhy & Oleksandr Podskrebko & Vitaliy Krasko, 2018. "Modelling The Dynamics Of The Adequacy Of Bank'S Regulatory Capital," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", vol. 4(1).
  • Handle: RePEc:bal:journl:2256-0742:2018:4:1:26
    DOI: 10.30525/2256-0742/2018-4-1-188-194
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    References listed on IDEAS

    as
    1. Hennie Van Greuning & Sonja Brajovic Bratanovic, . "Analyzing Banking Risk : A Framework for Assessing Corporate Governance and Risk Management, Third Edition," World Bank Publications, The World Bank, number 2618, September.
    2. Gale, Douglas, 2010. "Capital Regulation and Risk Sharing: Commentary," Working Papers 11-10, University of Pennsylvania, Wharton School, Weiss Center.
    3. Reint Gropp & Florian Heider, 2010. "The Determinants of Bank Capital Structure," Review of Finance, European Finance Association, vol. 14(4), pages 587-622.
    4. Diana Hancock & Andreas Lehnert & Wayne Passmore & Shane M. Sherlund, 2006. "The competitive effects of risk-based bank capital regulation: an example from U.S. mortgage markets," Finance and Economics Discussion Series 2006-46, Board of Governors of the Federal Reserve System (U.S.).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    bank’s regulatory capital; capital ratios; adequacy of regulatory capital; forecasting; neural networks; modelling;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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