B 2018

Performance Measurement in Banking: Empirical Application to Central and Eastern Europe

PALEČKOVÁ, Iveta

Basic information

Original name

Performance Measurement in Banking: Empirical Application to Central and Eastern Europe

Authors

PALEČKOVÁ, Iveta (203 Czech Republic, guarantor, belonging to the institution)

Edition

Praha, 189 pp. 2018

Publisher

Professional Publishing

Other information

Language

English

Type of outcome

Odborná kniha

Field of Study

50200 5.2 Economics and Business

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

RIV identification code

RIV/47813059:19520/18:00011113

Organization unit

School of Business Administration in Karvina

ISBN

978-80-88260-13-4

Keywords in English

efficiency; profitability; banking sector; financial conglomerate; Dynamic Data Envelopment Analysis

Links

GA16-17796S, research and development project.
Změněno: 7/2/2020 10:56, RNDr. Daniel Jakubík

Abstract

V originále

The aim of the book is to estimate the efficiency and profitability of banking sectors of ten Central and Eastern Europe countries within the period 2005-2015 and simultaneously parallel presentation of the main development trend in banking with an emphasis on the period of the global crisis and its subsequent effects. First, the banking performance is described with the theoretical concept of efficiency and profitability and also several indicators of the banking sector in Central and Eastern Europe (CEE) countries are compared. For measure of banking profitability return on assets, return on equity, cost to income ration and net interest income are calculated for commercial banks. The efficiency of banking sectors are estimated using Dynamic Data Envelopment Analysis (DEA) approach, non-oriented slacks-based measure model with assumption of variable returns to scale. The Dynamic DEA model formally addresses the activities in different interconnected time periods and this model estimates performance of a group of decision making units (DMUs) during several periods of time. Additionally, each DMU has carry-over variables that take into account a positive or negative factor in the previous period. Loan loss provision of banks are consider as carry-over variables. We take into account the affiliation of banks to the financial conglomerate, the bank's size, the level of capitalization as well as the liquidity of commercial banks.