Financial Markets, Institutions and Risks (FMIR)

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    Effect of foreign capital on competition development in the European banking sector
    (Sumy State University, 2017) Guley, A.; Gusev, J.
    This article explores the specific features of the functioning of foreign banking capital in the markets of the countries in the European Union. An analysis conducted to formalize the influence of the share of assets of foreign banks and banks under the control of a foreign investor in the assets of banking systems of 27 countries in the European Union on the level of competition allows one to assert that there is no single, clearly expressed tendency to influence this share on the level of competition. It has also been established that among 27 countries of the European union, two stable aggregates of countries can be identified, in banking systems of which the share of foreign bank capital practically did not change. It can be argued that the markets of the countries in the European Union, recipients of foreign banking capital, are exhausted from the point of view of further growth in the presence of foreign capital.
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    Trajectories of development of state-owned banks by analyzing the dynamics of patterns
    (Sumy State University, 2017) Mussina, A.; Школьник, Інна Олександрівна; Школьник, Инна Александровна; Shkolnyk, Inna Oleksandrivna; Бухтіарова, Аліна Геннадіївна; Бухтиарова, Алина Геннадьевна; Bukhtiarova, Alina Hennadiivna
    The article investigates the trajectory of state-owned banks by analyzing the patterns on the example of stateowned banks in Ukraine. The trajectory of the evolution of the state-owned banks can be defined ordered set of patterns, each of which describes the activities of the bank at a concrete moment of the time. The experience of state-owned banks in differently countries around the world was considered. To assess the state-owned banks in Ukraine for the period 2007-2016 the authors offer to assess the dynamics model of patterns of stateowned banks based on Kohonen self-organizing maps and cluster analysis. The model includes 14 indicators providing input variables of model formation. Also it comprises 35 banks of Ukraine, which has been operated during 2007-2016, including 7 state-owned banks. The authors proved that the Ukrainian state-owned banks are essentially commercial banks and non-state agents of a special mission, recently transformed into an additional burden for the state budget.