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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Bankovní poplatky v ČR a EU / Banking fee income in the Czech Republic and the EU

Růžičková, Karolína January 2014 (has links)
This thesis deals with both theoretical and practical aspects of banking fee and commission income in the European Union. Since fee income represents the largest part of non-interest income earned by banks, it remains a major challenge for bank management to set and maintain an appropriate fee policy. Nevertheless, solving for the optimal fee structure has not yet been accomplished either on a theoretical level, or in actual practice. In the thesis, we analyse fee income in EU banking sectors. Our results show that the Czech banking sector was not abnormally dependent on fee income compared to other EU countries in the period 2007-2012. As a result, we argue that the high profitability of Czech banks cannot be attributed to abnormal banking fees and commission income, but rather other factors should be considered. Moreover, we study the determinants of fee income share in individual banks and discuss the impact of market concentration on the magnitude of banking fees. We conclude that banks facing higher competition tend to expand more aggressively into non- traditional activities and therefore they report higher fee income shares. We also study the relationship between banking fees and banks' performance. The results are mixed depending on applied profitability measure, but in general, banks with...
2

Bankovní poplatky - jejich determinanty a vliv na ziskovost a rizikovost bank / Bank fee and commission income - its determinants and impact on bank's profitability and risk

Vozková, Karolína January 2020 (has links)
This thesis consists of five essays dealing with the fee and commission income in European banks from the macro, sector and bank level perspectives. This topic is of high relevance since fee income represents the largest part of the non-interest income of EU banks. The first part of the thesis deals with banks in general terms, while the second part is focused solely on cooperative banks, which represent approximately 20% of the EU banking sector. We compare the magnitude of the bank fee income across EU countries and study its determinants and impacts on banks' performance. The first essay compares the magnitude of the fee income across EU countries with a special emphasis on the Czech Republic from a macroeconomic perspective. First, we conclude that Czech banks are not abnormally dependent on fee income and their outstanding performance can be attributed to sound risk management, high liquidity and sufficient capital buffers rather than to excessive fees. Second, our evidence suggests that the share of fee income had an increasing trend in EU countries in recent years, which might be connected to the effort to maintain sufficient profitability in the low interest rates environment. We also discuss how new entrants, the so called low-cost banks, changed the banking sector in the Czech Republic....
3

Моделирование и прогнозирование комиссионного дохода клиентского сегмента банка с использованием методов машинного обучения : магистерская диссертация / Modeling and forecasting commission income of the bank client segment using machine learning methods

Солтыс, Д. С., Soltys, D. S. January 2021 (has links)
В работе представлен обзор современных методов и алгоритмов машинного обучения и опыта их практического применения в банковской сфере. Разработана методика реализации проекта по совершенствованию системы планирования комиссионного дохода клиентского сегмента коммерческого банка. Реализована модель планирования комиссионного дохода клиентского сегмента банка на основе методов машинного обучения. / The paper provides an overview of modern methods and algorithms of machine learning and the experience of their practical application in the banking sector. A methodology has been developed for the implementation of a project to improve the system of planning commission income for the client segment of a commercial bank. A model for planning commission income of the bank's client segment based on machine learning methods has been implemented.

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