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Title | Formation of complex model of analytical support of deposit bank management |
Authors |
Diakonova, Iryna Ivanivna
![]() Guley, A. Sheliuk, Asiiat Ashurbiekivna |
ORCID |
http://orcid.org/0000-0003-4366-8062 |
Keywords |
banking system банківська система банковская система bank банк banking банківська справа банковское дело banking management банківський менеджмент банковское управление deposit bank management управління депозитними банками управление депозитным банком complex model складна модель сложная модель analytical support аналітична підтримка аналитическая поддержка SWOT analysis SWOT аналіз SWOT анализ deposit policy політика депозиту политика депозитов |
Type | Article |
Date of Issue | 2017 |
URI | http://essuir.sumdu.edu.ua/handle/123456789/61730 |
Publisher | Sumy State University |
License | Copyright not evaluated |
Citation | D’yakonova, I., Guley, A., Sheliuk, A. (2017). Formation of complex model of analytical support of deposit bank management. Financial Markets, Institutions and Risks, 1(1), 54-60. http://doi.org/10.21272/fmir.1(1).54-60.2017. |
Abstract |
The effectiveness of the deposit bank management, as individual decision making in the management process
involving the deposit resources islargely determined by the efficiency, completeness, timeliness and adequacy
of methods and analysis techniques used in its implementation. Perfection analysis, in turn, depends on the
existing methodological framework, information analysis.
It does not require evidence of the fact that the development of any economic system can not be effective and
successful without a detailed analysis of the achieved level, determining the future prospects and goals and
finding appropriate ways to achieve this goal, and the realization of each of these challenges requires an appropriate
analytical support.
Implementation of all functions of the deposit bank management should include: analysis of macro functioning
of the bank using SLEPT, STEP and PEST analysis; comprehensive analysis of the external and internal
environments using bank SNW, SPASE and SWOT analysis; using micro-bank financial, statistical, mathematical
economic analysis and should be accompanied by a risk analysis via expert methods, GAP-analysis,
duration analysis, VAR-analysis, stress testing and back. |
Appears in Collections: |
Financial Markets, Institutions and Risks (FMIR) |
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Dyakonova_Guley_Sheliuk_FMIR_1_2017_54-60.pdf | 502.31 kB | Adobe PDF | -712098918 |
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