Estimating the efficiency of Greek banking system during the last decade of world economic crisis

2018 ◽  
Vol 25 (6) ◽  
pp. 1762-1794 ◽  
Author(s):  
Zois Sompolos ◽  
Maria Mavri
Keyword(s):  
Economic Crisis ◽  
Banking Sector ◽  
Returns To Scale ◽  
Banking System ◽  
Operational Efficiency ◽  
Operating Efficiency ◽  
Content Type ◽  
Dea Model ◽  
The Impact ◽  
Constant Returns To Scale

Purpose The purpose of this paper is to examine the efficiency of the four largest Greek banking organizations for the period 2004–2014, including both a period of strong economic growth and a period of economic crisis and recession, which is still plaguing the Greek economy and more specifically the Greek banking sector. Design/methodology/approach The study incorporates the application of financial ratio analysis and the data envelopment analysis (DEA) in order to calculate the technical efficiency of Greek financial institutions. More specifically, a two-stage output-oriented DEA model is developed in order to estimate the global efficiency of banks. The banking function is considered as consisting of two stages in series, a service/operational efficiency and a profitability efficiency. In both output-oriented models, methods of constant returns to scale and variable returns to scale were applied. Findings The results show that in terms of operational efficiency, banks started from a low rate of return in 2004, which improved until 2008, which marked the peak of operational efficiency. By 2010, the operating efficiency varied with downward trend until 2012–2013. In terms of profitability efficiency, the image is clearer, since the impact the financial crisis had on bank’s profit efficiency led, by 2012, to a plunge in the average efficiency by 30–40 percent. Originality/value A multi-stage DEA process, input oriented, was used in order to estimate changes in the performance and efficiency of banking system. The period 2004–2014 has not been examined until recently and all previous studies used the output-oriented DEA model.

scholarly journals EVALUATION OF FUNCTIONAL PERFORMANCE OF THE BANKING SYSTEM OF UKRAINE IN CONDITIONS FINANCIAL INSTABILITY

2021 ◽  
Author(s):  
Nataliia Danik ◽  
Kateryna Novak ◽  
Anastasiia Yakovenko
Keyword(s):  
Economic Crisis ◽  
Financial Stability ◽  
Structural Changes ◽  
Banking Sector ◽  
Synergistic Effects ◽  
Banking System ◽  
Scientific Article ◽  
Financial Instability ◽  
Industrial Complex ◽  
The Impact

The article covers the problems of the functioning of the banking sector of Ukraine during 2018-2021, as one of the main sectors of the financial market and the national economy as a whole. When analyzing the state of the banking sector, regularities and general trends in the functioning of the banking sector of Ukraine have been established, and appropriate calculations have been made. The impact of global financial crises on the activities of banking structures, which must operate in conditions of constant financial instability, is described. Today, the whole world, including Ukraine, is on the verge of a global financial and economic crisis. This raises the question of whether Ukrainian banks have the necessary margin of resilience to vulnerabilities to the financial and economic crisis. In recent years, the functioning and development of the banking system has been characterized by increased financial stability, the level of bank capitalization, liquidity, some improvement in asset quality, reducing risks in banking, as well as the presence of positive structural changes. Today, Ukraine's banking system operates in a complex socio-economic and legal environment, most of which - macroeconomic instability, irrational structure of the industrial complex, the crisis of science and technology, imperfect fiscal and monetary policy, low level of effective demand - complicate sustainable development banking sector and increase competitiveness. In conditions of instability, intensification of turbulent processes, the development of the banking system requires new innovative approaches to determining the mechanisms of effective functioning and stable development based on a system-synergetic approach, which led to the choice and relevance of the chosen topic of this scientific article. Efficiency of banks is a multicomponent, multifaceted, multidimensional system characteristic that depends on many factors and is an effective indicator of performance of functions and achievement of goals and objectives of banks development provided financial stability based on financial stability and dynamic balance, achievement of multiplicative and synergistic effects.

Developing a new super-efficiency DEA model in the presence of both zero data and stochastic data: a case study in the Iranian airline industry

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammad Tavassoli ◽  
Amirali Fathi ◽  
Reza Farzipoor Saen
Keyword(s):  
Airline Industry ◽  
Returns To Scale ◽  
Content Type ◽  
Super Efficiency ◽  
Dea Model ◽  
Proposed Model ◽  
Stochastic Dea ◽  
Stochastic Data ◽  
Constant Returns To Scale

PurposeThe purpose of this study is to propose a novel super-efficiency DEA model to appraise the relative efficiency of DMUs with zero data and stochastic data. Our model can work with both variable returns to scale (VRS) and constant returns to scale (CRS).Design/methodology/approachThis study proposes a new stochastic super-efficiency DEA (SSDEA) model to assess the performance of airlines with stochastic and zero inputs and outputs.FindingsThis paper proposes a new analysis and contribution to the knowledge of efficiency assessment with stochastic super-efficiency DEA model by (1) using input saving and output surplus index for efficient DMUs to get the optimal solution; (2) obtaining efficiency scores from the proposed model that are equivalent to original stochastic super-efficiency model when feasible solutions exist. A case study is given to illustrate the applicability of our proposed model. Also, poor performance reasons are identified to improve the performance of inefficient airlines.Originality/valueFor the first time, a new SSDEA model for ranking DMUs is proposed. The introduced model produces a feasible solution when dealing with zero input or output. This paper applies the input saving and output surplus concept to rectify the infeasibility problem in the stochastic DEA model.

Global financial economic crisis transmission on the transition economy

2019 ◽  
Vol 12 (1) ◽  
pp. 1-22
Author(s):  
Nargiza Alymkulova ◽  
Junus Ganiev
Keyword(s):  
Exchange Rate ◽  
Economic Crisis ◽  
Transition Economy ◽  
Banking Sector ◽  
Global Financial Crisis ◽  
Financial Economic ◽  
Kyrgyz Republic ◽  
Content Type ◽  
The Exchange Rate ◽  
The Impact

Purpose The global financial crisis hit the economy of the Kyrgyz Republic by the third wave of its transmission in early 2009. The purpose of this study is to examine the impact of the global financial economic crisis on the transition economy of the Kyrgyz Republic. As there is a low level of the Kyrgyz Republic’s integration into the global financial and economic processes, it is obvious that channels of transmissions are different. Design/methodology/approach The empirical model is the vector autoregression approach. The quarterly data from 2005 to 2013 of the remittances from abroad, trade volumes, exchange rates, credits, deposits and liquidity of the banking system, gross domestic product (GDP) and foreign direct investment (FDI) were used in the empirical analysis. Findings The authors found a significant positive relation between transmission channels such as remittances flow, banking sector, international trade and GDP within the first six months. Thus, a decline in the aforementioned variables has a significant affirmative effect on the country’s GDP. Notwithstanding, the exchange-rate channel adversely influences GDP. Thereby, the depreciation of the national currency leads to an increase in GDP. Originality/value The study findings allow the Kyrgyz policymakers to foresee the global crisis transmission through the primary channels of transmission mechanism. Nevertheless, a decrease of the deposit level by 1 per cent leads to 2.91 per cent decline in FDI inflows. On the contrary, an increase of the exchange rate by 1 per cent leads to 1.54 per cent decrease in imports.

Profitability factors and efficiency of Greek banks

2012 ◽  
Vol 7 (2) ◽  
pp. 185-200 ◽  
Author(s):  
Nikos Ioanni Schiniotakis
Keyword(s):  
Economic Crisis ◽  
Banking Sector ◽  
Banking System ◽  
Economic Recession ◽  
Content Type ◽  
Cooperative Banks ◽  
Greek Banks ◽  
First Time ◽  
Published Research

PurposeThis paper aims to search for the factors that influence the profitability of Greek commercial and cooperative banks by examining other variables that have never been used before. It also seeks to examine bank performance before and during the economic crisis in Greece. The survey is based on previous similar research.Design/methodology/approachA multiple regression analysis has been used for the determination of the factors which influence the profitability of the Greek banking sector as well as the multicriteria method PROMETHEE for the examination of the Greek banking sector performance before (2007) and during the economic recession (2008‐2009).FindingsThe paper finds that: type of bank plays an important role in profitability; the indicator ROA is associated only with well‐capitalized banks with sufficient liquidity and cost efficiency; and cooperative banks in general at the beginning of the crisis were less influenced by the economic crisis than commercial banks.Originality/valueThis is the first time that the entire Greek banking system has been examined for the particular period regarding the factors that influence bank profitability. Up to now there has been no published research examining whether the type of the bank influences profitability or which of banks remained efficient and “durable” before and during the first two years of the economic crisis in Greece.

State ownership and bank performance: conventional vs Islamic banks

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Turki Alshammari
Keyword(s):  
Banking Sector ◽  
Banking System ◽  
Positive Influence ◽  
State Ownership ◽  
Bank Performance ◽  
Islamic Banking ◽  
Islamic Banks ◽  
Content Type ◽  
Banking Systems ◽  
The Impact

Purpose This paper aims to examine the effect of state ownership on bank performance for all banks in the Gulf Cooperation Council (GCC) countries during the period 2003 – 2018, for two distinct banking systems: the conventional and the Islamic banking systems. Design/methodology/approach To achieve the goal of the study, this paper uses a mean t-test to examine the mean difference of the related variables for both banking systems, and a regression test (using the GMM method) to explore the effect of state ownership on bank performance. Findings The most important result of the analysis is that state ownership has a significantly positive influence on bank performance for conventional banks but not for Islamic banks, in the GCC area. Originality/value This study adds to the scarce related literature comparative empirical results with respect to the impact of ownership on the performance of two different banking systems: the conventional system and the Islamic banking system in the GCC area. This study is likely to have implications for policymakers in terms of developing rules relevant to the governance of GCC’s two banking systems that can help to support the stability of the whole banking sector.

The Impact of Non-Performing Loans on Bank's Operating Efficiency for Taiwan Banking Industry

2008 ◽  
Vol 11 (02) ◽  
pp. 287-304 ◽  
Author(s):  
Chiung-Ju Liang ◽  
Ming-Li Yao ◽  
Dar-Yeh Hwang ◽  
Wei-Hsiung Wu
Keyword(s):  
Banking Industry ◽  
Operational Efficiency ◽  
The Other ◽  
Operating Efficiency ◽  
Dea Model ◽  
Private Banks ◽  
Different Types ◽  
Public Banks ◽  
The Impact

The DEA model is applied to analyze the operational efficiency of Taiwan's publicly-listed banks to reveal the influence of the rising non-performing loan ratio (NPLR) on Taiwan's banking industry. After taking into account the NPLR and the different classifications of banks, the respective performances of different types of banks exhibit the following variations and characteristics: the originally more-efficient new private banks significantly fell behind the old public banks in terms of efficiency scores after the NPLR was included. The old private banks' operational efficiency fell behind that of the other banks at all times. The productivity of all new private banks exceeded that of the other banks.

scholarly journals DEVELOPMENT OF THE BANKING SECTOR OF UKRAINE IN THE SPACE OF FORMATION OF DESTRUCTIVE CONSEQUENCES OF THE INFLUENCE OF THE GLOBAL FINANCIAL AND ECONOMIC CRISES: ECONOMIC AND LEGAL ASPECTS

THE BULLETIN ◽  
2021 ◽  
Vol 389 (1) ◽  
pp. 137-145
Author(s):  
V. Y. Vovk ◽  
Yu.V. Zhezherun ◽  
V.G. Kostohryz ◽  
V. О. Maliarova
Keyword(s):  
Economic Development ◽  
Financial Markets ◽  
Economic Crisis ◽  
Global Economy ◽  
Banking Sector ◽  
Banking System ◽  
Negative Consequences ◽  
Economic Crises ◽  
The World ◽  
The Impact

The article examines the impact of globalization on the development of the world and national economic systems. The high probability of a global economic recession due to the coronavirus outbreak is projected to have significant consequences for both the global economy and the economy of Ukraine. Due to the probable change in the structure of the world economy and logistics, there is a growing need to study the risks of the national banking system, which demonstrates a high dependence on global financial markets. The peculiarities of the manifestation of financial and economic crises in the conditions of turbulence of the international financial markets and strengthening of financial instability have been considered. The causes and consequences of crises in the banking sector of Ukraine have been studied. The analysis of macroeconomic indicators of economic development of Ukraine during 2006-2019 with identifying of crisis periods has been carried out. Particular attention has been paid to the study of the preconditions for the emergence and consequences of the global financial and economic crisis for the economy of Ukraine in general and the banking sector in particular. Indicators that characterize the degree of penetration of the banking system into the economy of Ukraine have been analyzed, that will determine the features of crises at different stages of socio-economic development and conduct a comparative assessment of anti-crisis measures of the NBU aimed at stabilizing the banking sector. Taking into account the fact that the causes of financial and economic crises are not identical, measures used during the Global Financial and Economic Crisis of 2007-2011 cannot be taken to overcome the negative consequences of the Coronacrisis of 2020. Regulatory aspects of the banking system in times of crisis have been systematized. An attempt to predict the possible development of events in the domestic banking sector in the context of the Coronacrisis of 2020 has been made. The purpose of the article is to study the development trends of the banking sector of Ukraine in the space of formation of the destructive consequences of the global financial and economic crises and to determine the main directions of anti-crisis regulation of banking.

scholarly journals Monetary policy collision on the performance of banking sector in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Belavadi Nikhil ◽  
Shivakumar Deene
Keyword(s):  
Monetary Policy ◽  
Public Sector ◽  
Central Bank ◽  
Interest Rates ◽  
Banking Sector ◽  
Banking System ◽  
Economic Situation ◽  
Content Type ◽  
Public Sector Banks ◽  
The Impact

Purpose The study aims to identify the impact of monetary policy tools on the performance of banks in India, and this could be an excellent suggestion to the regulators in framing the favourable interest rates which would meet the macroeconomic objectives of the Indian economy. Design/methodology/approach The design adopted in this study is descriptive and analytical research. Correlation and regression analysis is used to determine the relationship between bank rate (BR) and the performance of public sector banks in India. The sample chosen for this study is the public sector banks actively performing in India. Findings The performance is measured by taking three factors, and they are deposits, loans and advances (L&A) and total asset value of the banks. All three factors have shown an impact of BR on them during the five years. L&A affected the least amongst the three factors, but the other two were significantly impacted by the change in BR by the Reserve Bank of India. So, there should be a favourable fluctuation in the BR which will bring flexibility in the banking system, and they can perform well in the economy and the central bank also can concentrate on the macro-economic situation in the country. Originality/value This paper helps in giving suggestions to the Central bank, researchers, financial institutions to look into the financial performance and monetary policy rates and the central bank also can concentrate on the macro-economic situation in the country.

scholarly journals Prediction of financial distress in the Spanish banking system

2019 ◽  
Vol 28 (82) ◽  
pp. 69-87 ◽  
Author(s):  
Jessica Paule-Vianez ◽  
Milagros Gutiérrez-Fernández ◽  
José Luis Coca-Pérez
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Financial Distress ◽  
Banking Sector ◽  
Banking System ◽  
Short Term ◽  
Financial Problems ◽  
Content Type ◽  
Artificial Neural ◽  
The Impact

Purpose The purpose of this study is to construct the first short-term financial distress prediction model for the Spanish banking sector. Design/methodology/approach The concept of financial distress covers a range of different types of financial problems, in addition to bankruptcy, which is not common in the sector. The methodology used to predict financial problems was artificial neural networks using traditional financial variables according to the capital, assets, management, earnings, liquidity and sensibility system, as well as a series of macroeconomic variables, the impact of which has been proven in a number of studies. Findings The results obtained show that artificial neural networks are a highly suitable method for studying financial distress in Spanish credit institutions and for predicting all cases in which an entity has short-term financial problems. Originality/value This is the first work that tries to build a model of artificial neural networks to predict the financial distress in the Spanish banking system, grouping under the concept of financial distress, apart from bankruptcy, other financial problems that affect the viability of these entities.

Income Diversification and Bank Efficiency in Vietnam

2017 ◽  
pp. 52-67
Author(s):  
Sang Nguyen Minh
Keyword(s):  
Regression Model ◽  
Commercial Banks ◽  
Banking System ◽  
Operational Efficiency ◽  
Commercial Banking ◽  
Tobit Regression ◽  
Income Diversification ◽  
Positive Effects ◽  
Study Results ◽  
The Impact

This study uses the DEA (Data Envelopment Analysis) method to estimate the technical efficiency index of 34 Vietnamese commercial banks in the period 2007-2015, and then it analyzes the impact of income diversification on the operational efficiency of Vietnamese commercial banks through a censored regression model - the Tobit regression model. Research results indicate that income diversification has positive effects on the operational efficiency of Vietnamese commercial banks in the research period. Based on study results, in this research some recommendations forpolicy are given to enhance the operational efficiency of Vietnam’s commercial banking system.

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