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Transformation of the banking sector of ukraine: reasons and consequences

100%

Khutorna M., Banking University B. D.

Finanse i Prawo Finansowe

2017

vol. 1

This paper is devoted to the consideration of the preconditions and results of the banking sector of Ukraine transforming, its influence on the sector’s productivity, stability and significance for the real economy. It’s grounded that banking sector of Ukraine has seriously weakened its potential for the economic development stimulation. On the one hand, due to the banking sector clearance from the bad and unscrupulous banks the system has become much more sensitive to the monetary instruments and its state is going to be more predictable and better controlled. But on the other hand, massive banks’ liquidations have caused the worsening of the confidence in financial system and radical increasing of the market concentration the highest degree of which is observed in the householders’ deposit market.

Artykuł jest poświęcony badaniu przesłanek i skutków procesów transformacyjnych w sektorze bankowym Ukrainy, ich wpływu na poziom jego wydajności, stabilności i znaczenie dla gospodarki realnej. Uzasadniono, że w chwili obecnej sektor bankowy Ukrainy istotnie osłabił swoje znaczenie w zakresie stymulacji ekonomicznego rozwoju kraju. Stwierdzono, że działania regulatora w sprawie oczyszczenia sektoru bankowego od złych, niesumiennych banków, z jednej strony zwiększyło jego wrażliwość do działania instrumentów pieniężnych, a więc zrobiło jego stan łatwiejszym w zarządzaniu i bardziej prognozowanym. Z innej strony, masowa likwidacja banków spowodowała szybki wzrost poziomu jego skoncentrowania, co przede wszystkim odzwierciedliło się na ponownym podziale depozytów gospodarstw domowych.

Computational Qualitative Economics – Using Computational Intelligence for Andvanced Learning of Economics in Knowledge Society

70%

Andrasik L.

Creative and Knowledge Society

2015

vol. 5

issue 2

1-15

In economics there are several complex learning themes and tasks connected with them difficult for deeper understanding of the learning subject. These are the reasons originating serious learning problems for students in the form of Virtual Environment because deeper understanding requires high level mathematical skills. Actually the most important feature for discerning this part of economics is the set of qualitative shapes emerging in discrete dynamic systems when they are undergoing iterations and/or experimentation with parameters and initial coordinates of variables. Among such shapes there are: - trajectories in evolving time; - trajectories in R2 of two variables; - cobweb portraits; - one control parameter bifurcation with first and/or with second variables; - two control parameters bifurcation in R2 (attractive basin of double controls); - cycles; - basin of attraction of two variables; - one Lyapunov’s exponent against some of control parameters; - Lyapunov’s exponents with two control parameters in R2; - absorbing area with possibility to create critical curves and/or attractors. The hope is that products of computational intelligence may help them solve such problems. Naturally, the meant complex economic problems and tasks have discrete, qualitative and nonlinear (noninvertible) nature resulting in increased level of difficulties. So with the term used in the head of this paper one has to understand narrowly: “qualitative nonlinear computational economics”. For better understanding the very nature of the problem we are using as appropriate example actual simulation of the model of new ICT products monopolies in virtual laboratory built in the routines setting dominantly in the software iDMC.

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1 Creative and Knowledge Society

1 Finanse i Prawo Finansowe

1 Andrasik L.

1 Banking University B. D.

1 Khutorna M.

1 2017

1 2015

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Transformation of the banking sector of ukraine: reasons and consequences

Computational Qualitative Economics – Using Computational Intelligence for Andvanced Learning of Economics in Knowledge Society