Efficiency of Commercial Banks in India: A Non-parametric study using Data Envelopment Analysis

2015 ◽  
Vol 5 (6) ◽  
pp. 37 ◽  
Author(s):  
Jayeeta Paul ◽  
Koushik Das
Keyword(s):  
Data Envelopment Analysis ◽  
Parametric Study ◽  
Commercial Banks ◽  
Data Envelopment ◽  
Using Data ◽  
Non Parametric

Modeling Efficiency Performance of Malaysian Commercial Banks Using Data Envelopment Analysis

2018 ◽  
Vol 24 (6) ◽  
pp. 4612-4618
Author(s):  
Norsyuhada Johan ◽  
Zalina Zahid ◽  
Siti Aida Sheikh Hussin
Keyword(s):  
Data Envelopment Analysis ◽  
Commercial Banks ◽  
Data Envelopment ◽  
Efficiency Performance ◽  
Using Data

scholarly journals Loan efficiency in the Visegrad countries

2015 ◽  
Vol 65 (s1) ◽  
pp. 161-181 ◽  
Author(s):  
Kristína Kočišová
Keyword(s):  
Data Envelopment Analysis ◽  
Financial Markets ◽  
Commercial Banks ◽  
Capital Adequacy ◽  
Data Envelopment ◽  
Average Efficiency ◽  
The Past ◽  
Lending Decisions ◽  
Using Data ◽  
Visegrád Countries

Financial markets in the Visegrad countries have undergone several changes in lending business over the past decade. This study evaluates the efficiency of the largest commercial banks by focusing on their lending decisions using Data Envelopment Analysis. First, we define the concept of efficiency, then we analyse loan efficiency between 2007 and 2013. The results indicate that average efficiency declined. When we studied the loan efficiency in each country separately, we found that Hungarian banks had the lowest efficiency while the highest efficiency was achieved mainly by Czech banks. The results of the study also suggest that efficiency is positively related to profitability and capital adequacy, and negatively related to the share of non-performing loans, which confirms the bad management hypothesis.

scholarly journals EFFICIENT COMPARISON OF THE TOP 10 LARGEST COMMERCIAL BANKS IN INDONESIA: DEA (DATA ENVELOPMENT ANALYSIS)

2021 ◽  
Vol 11 (3) ◽  
pp. 427
Author(s):  
Ari Christianti
Keyword(s):  
Data Envelopment Analysis ◽  
Commercial Banks ◽  
Banking Industry ◽  
Maximum Efficiency ◽  
Data Envelopment ◽  
Labor Costs ◽  
Banking Efficiency ◽  
Parametric Data ◽  
Fixed Assets ◽  
Using Data

Banking efficiency is very important in supporting the success of macro policies specifically, maintaining the sustainability of development that affects economic growth and social welfare. This study discusses the efficiency of commercial banks for the 2015-2019 period using data from the 10 largest commercial banks in Indonesia. The methodology used is non-parametric, Data Envelopment Analysis, to analyze technical efficiency. The results showed that 7 banks had a maximum efficiency level consistently during the study period and there were still 3 banks that did not reach the maximum efficiency but during certain periods or periods. Based on the results of the DEA, inefficient banks in a certain period can achieve maximum efficiency by reducing inputs such as labor costs, net fixed assets, and the number of deposits. This might be attributed that the competition in the banking industry and because not all inputs could be controlled by management, some large banks cannot maintain their level of efficiency consistently.

scholarly journals The Efficiency of Islamic Banks and Conventional Banks in Indonesia Using Data Envelopment Analysis Approach

2021 ◽  
Vol 58 (1) ◽  
pp. 375-381
Author(s):  
Retno Fitrianti, Sri Undai Nurbayani
Keyword(s):  
Data Envelopment Analysis ◽  
Commercial Bank ◽  
Commercial Banks ◽  
Banking Sector ◽  
Financial Institution ◽  
Data Envelopment ◽  
Islamic Banks ◽  
Sample Technique ◽  
Using Data ◽  
Conventional Banks

Banking sector mediation is related to efficiency in economic performance. As a financial institution, banks need to maintain their performance in order to operate optimally, one factor that must be considered is efficiency in performance. This research aimed to analyze the efficiency of Islamic Banks and Conventional Commercial Bank in Indonesia. Using a purposive sample technique for two Islamic banks and two commercial banks. Fixed assets, deposits, and other operating expenses as input variablesused, while credit as output variable.  Using Data Envelopment Analysis to calculate the efficiency of banking. The results show that all Sharia Commercial Bank samples reached efficiency level 1 was efficient. Besides, the sample of conventional commercial banks used in this study is not all efficient. This is due to one of the sample banks having an efficiency level below one, which is 0.644. It means that conventional bank groups are inefficient.

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