2021
DOI: 10.1108/cr-03-2021-0031
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Intellectual capital, bank stability and risk-taking: evidence from Asian emerging markets

Abstract: Purpose The purpose of this paper is to investigate the impact of intellectual capital (IC) efficiency on the banks’ risk-taking and stability of Asian emerging markets. Design/methodology/approach This study uses a sample of 204 listed banks from 12 Asian emerging countries for the period 2010 to 2019. Data were analyzed using Ordinary Least Squares regression and checked for robustness using system generalized methods moment (GMM) estimation. The dependent variable of bank stability is measured using Z-sco… Show more

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Cited by 17 publications
(11 citation statements)
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References 116 publications
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“…The correlation coefficient between all the explanatory variables is less than 0.5, thus suggesting no multicollinearity. This is also confirmed by the variance inflation factor (VIF) analysis (not shown due to brevity), which reflects a threshold value of less than 10 (Dalwai et al ., 2021, 2022; Velte, 2019; Scafarto et al ., 2023).…”
Section: Resultsmentioning
confidence: 99%
“…The correlation coefficient between all the explanatory variables is less than 0.5, thus suggesting no multicollinearity. This is also confirmed by the variance inflation factor (VIF) analysis (not shown due to brevity), which reflects a threshold value of less than 10 (Dalwai et al ., 2021, 2022; Velte, 2019; Scafarto et al ., 2023).…”
Section: Resultsmentioning
confidence: 99%
“…As observed by Zhao et al . (2021), Dalwai et al . (2021) and Sarpong-Kumankoma (2021), the GMM technique controls for potential endogeneity, unobserved heterogeneity, dependent variable persistence and heteroskedasticity problems.…”
Section: Methodsmentioning
confidence: 99%
“…The GMM estimation technique helps in controlling for potential endogeneity problems. As observed by Zhao et al (2021), Dalwai et al (2021) and Sarpong-Kumankoma (2021), the GMM technique controls for potential endogeneity, unobserved heterogeneity, dependent variable persistence and heteroskedasticity problems. The GMM approach is thus appropriate for the study.…”
Section: Econometric Specificationmentioning
confidence: 99%
“…Therefore, to obtain unbiased and consistent estimates after addressing the issue of endogeneity (Moudud-Ul-Huq et al , 2018), we use a two-step system generalized method of moments (GMM) of Blundell and Bond (1998) with Windmeijer’s (2005) finite sample correction for dynamic panel data. We do not use the fixed effects estimation technique within our dynamic panel framework as it provides inconsistent and biased results for dynamic relationships (Dalwai et al , 2021; Goswami, 2021). The first step under the GMM procedure involves differencing the equation to eliminate any bias arising due to time-invariant unobserved heterogeneity.…”
Section: Methodology and Datamentioning
confidence: 99%