2017
DOI: 10.21511/bbs.12(4).2017.05
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The effect of Lerner Index and income diversification on the general bank stability in Indonesia

Abstract: The purpose of this study is to examine the effect of market power and income diversification on the General Bank stability in Indonesia. This research uses a data sample of 20 general banks listed on the Indonesia Stock Exchange for the period of 2011-2014. Data analysis technique used is Multiple Linear Regression. It can be concluded simultaneously that market power and revenue diversification have significant effect on bank stability and, partially, market power has a positive and significant effect on a b… Show more

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Cited by 18 publications
(14 citation statements)
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“…Where researchers are not familiar with the problems studied. Usually this research is done by identifying people based on sociological and its role in society then the concept that has been made developed and revised what is thought does not match with the results obtained , Dalimunthe et al, 2016Sirojuzilam et al 2016;Handoko et al, 2017;Syahyunan et al, 2017, Nurlina et al, 2017& Yahya et al, 2017. This type of research is an exsplanatory survey.…”
Section: Methodsmentioning
confidence: 99%
“…Where researchers are not familiar with the problems studied. Usually this research is done by identifying people based on sociological and its role in society then the concept that has been made developed and revised what is thought does not match with the results obtained , Dalimunthe et al, 2016Sirojuzilam et al 2016;Handoko et al, 2017;Syahyunan et al, 2017, Nurlina et al, 2017& Yahya et al, 2017. This type of research is an exsplanatory survey.…”
Section: Methodsmentioning
confidence: 99%
“…The results of the normality test for residual values are presented in Figure 2. According to Syahyunan et al (2017), the basis of decision making in Kolmogorov-Smirnov's test could be probability value (significance), which is:…”
Section: Descriptive Statisticsmentioning
confidence: 99%
“…The coefficient of determination (R²) essentially measures the extent of the model's ability to explain the variables of dependent variables Suriadi et al, 2015;Syahyunan et al, 2017;Sirojuzilam et al, 2017;Sihombing et al, 2017;Tarmizi et al, 2016Tarmizi et al, , 2017Yahya et al, 2017;Sari et al, 2018;Sadalia et al, 2018;Eriadi et al, 2018;.…”
Section: Determination Coefficient Analysis (R²)mentioning
confidence: 99%