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Vol 10, Issue 1, 2020
Pages: 76 - 84
Original scientific paper
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Received: >> Accepted: >> Published: 10.10.2020. Original scientific paper

ANALYSIS OF THE CIE BANKING SECTOR USING LINEAR PANEL MODELS

By
Nenad Vunjak ,
Nenad Vunjak

Modern Business School in Belgrade , Belgrade , Serbia

Miloš Dragosavac ,
Miloš Dragosavac

Modern Business School in Belgrade , Belgrade , Serbia

Milan Radaković ,
Milan Radaković

Faculty of Sports, Union University , Belgrade , Serbia

Tamara Antonijević
Tamara Antonijević

Faculty of Economics, University of Novi Sad , Novi Sad , Serbia

Abstract

 The subject of this paper is the analysis of the CEE banking sector in the period from 2013 to 2019. The research was conducted on 13 countries in the observed region. The analyzed countries were divided into three groups during the research. The first group consists of countries that were among the first to join the European Union (Slovenia, Poland, Slovakia, Czech Republic and Hungary), the second group consists of countries that later joined the European Union (Croatia, Bulgaria and Romania), while the third group consists of countries that haven’t yet became equal members of the European Union and are negotiating to join it (Serbia, BiH, Montenegro, Macedonia and Albania). Emphasis is placed on the most significant business performance, such as: the level of non-performing loans (NPLs), the level of capital adequacy ratio (CAR) and the level of profitability, which is measured through return on assets (ROA) and return on equity (ROE). The aim of the research is to determine the general level of the most significant business performance, in order to see the mutual relationship and the degree of development of the banking sectors between the observed countries. The obtained data will be processed using linear panel models using the statistical program STATA. The statistical analysis will use the model with constant parameters (Pooled model), the model with individual effects fixed parameter (fixed-effects model) and Individual effects stochastic variable (random-effect model). The models will be tested using the Hausman and Breusch-Pagan tests. 

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