The Determinants and Trends of the Dynamics of Market Concentration: The Case of Deregulating Private Banking Industry in India

2008 ◽  
Author(s):  
K. V. Bhanu Murthy ◽  
A. T. Deb
Keyword(s):  
Banking Industry ◽  
Market Concentration ◽  
Private Banking

Collusion in the Turkish Banking Sector

2012 ◽  
Author(s):  
Resul Aydemir
Keyword(s):  
Banking Sector ◽  
Structural Model ◽  
Banking Industry ◽  
Market Concentration ◽  
Regulatory Agencies ◽  
Sample Period ◽  
Conjectural Variation ◽  
Average Mark ◽  
Market Conduct ◽  
Variation Approach

In this paper, I consider the Turkish Banking Industry, which is dominated by a few large banks. Using a conjectural variation approach, I estimate a structural model to examine the market conduct of the largest banks for the period 1988-2009. Estimation results suggest that the Turkish banks colluded in the loan market during the sample period where the average mark-up is estimated to be in the range of 44% to 86% depending on the empirical specification. This evidence demonstrates a conflict between market concentration and competition in the Turkish banking industry. Thus, regulatory agencies should be cautious against attempts to increase concentration in the banking industry.

Market structure-performance hypothesis in Kenyan banking industry

2015 ◽  
Vol 10 (4) ◽  
pp. 697-710 ◽  
Author(s):  
Solomon W. Giorgis Sahile ◽  
Daniel Kipkirong Tarus ◽  
Thomas Kimeli Cheruiyot
Keyword(s):  
Market Structure ◽  
Market Efficiency ◽  
Market Share ◽  
Commercial Banks ◽  
Banking Sector ◽  
Banking Industry ◽  
Developing Economies ◽  
Market Concentration ◽  
Bank Performance ◽  
Content Type

Purpose – The purpose of this paper is to test market structure-performance hypothesis in banking industry in Kenya. Specifically, the structure-conduct-performance (SCP) and market efficiency hypotheses were examined to determine how market concentration and efficiency affect bank performance in Kenya. Design/methodology/approach – The study used secondary data of 44 commercial banks operating from 2000 to 2009. Three proxies to measure bank performance were used while market concentration and market share were used as proxies for market structure. Market concentration was measured using two concentration measures; the concentration ratio of the four largest banks (CR4) and Herfindahl-Hirschman Index, while market share was used as a proxy for efficiency. The study made use of generalized least square regression method. Findings – The empirical results confirm that market efficiency hypothesis is a predictor of firm performance in the banking sector in Kenya and rejects the traditional SCP hypothesis. Thus, the results support the view that efficient banks maximize profitability. Practical implications – The study provides insights into the role of efficiency in enhancing profitability in commercial banks in Kenya. It has managerial implication that profitable banks ought to be efficient and dispels the notion of collusive behavior as a precursor for profitability. Originality/value – The paper fills an important gap in the extant literature by proving insights into what determines bank profitability in banking sector in Kenya. Although this area is rich in research, little work has been conducted in the developing economies and in particular no study in the knowledge has addressed this critical issue in Kenya.

The influence of personal values and demographic variables on customer loyalty in the banking industry

2015 ◽  
Vol 33 (4) ◽  
pp. 571-587 ◽  
Author(s):  
Jorge Luiz Henrique ◽  
Celso Augusto de Matos
Keyword(s):  
Customer Loyalty ◽  
Structural Equation ◽  
Statistical Power ◽  
Banking Industry ◽  
Emerging Market ◽  
Personal Values ◽  
Demographic Variables ◽  
Two Dimensions ◽  
Content Type ◽  
Private Banking

Purpose – Even though personal values are considered an important variable in consumer studies, rarely has it been related to customer loyalty, especially in the banking context and considering the different loyalty phases. Hence, the purpose of this paper is to investigate the influence of personal values on loyalty phases in the private banking industry, taking into account the moderating influence of demographic variables. Design/methodology/approach – After developing a theoretical framework based on the relevant literature, a research model is proposed and empirically tested with data from a survey with 891 bank customers from Brazil. Hypotheses of moderation were tested using structural equation modelling technique. Findings – Results suggested that customers that place more importance on growth and achievement as personal values are less loyal to their bank, considering all four stages of loyalty. Moreover, this effect was more pronounced for female, older and high-income consumers, supporting the moderating effect of these demographic variables. Research limitations/implications – One of the limitations was that the sample was not probabilistic. To compensate this issue, the authors have used the approach of splitting the sample and use one for calibration and other for estimation. Another limitation was the small subgroups of high and low education, which might be responsible for the nonsignificant finding, due to low statistical power in the z-test. Future studies should consider using quota samples in order to have sample size greater than 150 cases in each category of variables such as age, education and income. Practical implications – This study emphasizes the relevance of personal values, especially the dimensions of growth/achievement and security/social affiliation, and demographic variables when considering customers’ loyalty in the private banking industry. Managers should give different treatment for customers in distinct loyalty stages and with different demographics, thus increasing the customer orientation and segmentation efficacy. Originality/value – The study tests a theoretical model that analyses the influence of two dimensions of personal values on loyalty, with originality on the loyalty phases (from cognitive to action) and the contingent effect of demographic variables, such as gender, age, education and income. Moreover, the model is tested in a sample of private banking customers from an emerging market, i.e., Brazil.

scholarly journals Are the effects of market concentration and income diversification on banking performance persistent?

2020 ◽  
Vol 24 (50) ◽  
pp. 25-44
Author(s):  
Jorge A. Muñoz Mendoza ◽  
Sandra M. Sepúlveda Yelpo ◽  
Carmen L. Veloso Ramos ◽  
Carlos Delgado Fuentealba
Keyword(s):  
Economic Crisis ◽  
Banking Industry ◽  
Market Concentration ◽  
Bank Performance ◽  
Financial Policy ◽  
Income Diversification ◽  
Gmm Estimator ◽  
Linear Effect ◽  
Non Linear Effect ◽  
Positive Effect

We analyze the effects of market concentration and income diversification on banking performance. We used a sample of 134 countries for the period 1994-2011 and used the GMM estimator proposed by Arellano and Bover (1995). Our results show that market concentration and income diversification have a positive and non-linear effect on bank performance. The non-linearity suggests that the positive effect is reversed if the banking industry has high levels of market concentration and income diversification. During an economic crisis, the banking industry reduces diversification to support its performance. These results are relevant for the design of financial policy and banking strategies.

scholarly journals Are the effects of market concentration and income diversification on banking performance persistent?

2020 ◽  
Vol 24 (50) ◽  
Author(s):  
Jorge A. Muñoz Mendoza ◽  
Sandra M. Sepúlveda Yelpo ◽  
Carmen L. Veloso Ramos ◽  
Carlos Delgado Fuentealba
Keyword(s):  
Economic Crisis ◽  
Banking Industry ◽  
Market Concentration ◽  
Bank Performance ◽  
Financial Policy ◽  
Income Diversification ◽  
Gmm Estimator ◽  
Linear Effect ◽  
Non Linear Effect ◽  
Positive Effect

We analyze the effects of market concentration and income diversification on banking performance. We used a sample of 134 countries for the period 1994-2011 and used the GMM estimator proposed by Arellano and Bover (1995). Our results show that market concentration and income diversification have a positive and non-linear effect on bank performance. The non-linearity suggests that the positive effect is reversed if the banking industry has high levels of market concentration and income diversification. During an economic crisis, the banking industry reduces diversification to support its performance. These results are relevant for the design of financial policy and banking strategies.

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