2020
DOI: 10.32890/ijbf2020.15.1.9932
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Comparison of the Pass-Through Speed Models of Different Markets: An Empirical Study of the Markets of Mainland China and Taiwan

Abstract: This paper adopted the Boone Indicator, developed by Boone et al. (2008) and Van Leuvensteijn et al. (2011; 2013), to investigate the influence of different pass-through spread models in the competition among banks in emerging markets. With the market share of banks as a dependent variable and marginal cost as an independent variable, this paper probed into the competition among banks regarding the loan market to determine whether competition on the loan interest rates of banks affected the pass-through of mon… Show more

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“…Bearing in mind the aims of our research, we carried out a regression analysis by referring to the Newey-West estimator which properly considered the nature of our data and produced Heteroskedasticity and Autocorrelation Consistent (HAC) standard errors (Newey and West, 1987) and even recently applied for the analysis of banking and finance issues and the regression analysis on time series data (Ballis and Drakos, 2020;Ho and Lin, 2020;Narayan et al, 2020;Yahaya et al, 2020;Kladí vko and Österholm, 2020). Indeed, the Newey-West (HAC) robust standard errors are consistent when the error term is heteroskedastic, autocorrelated, or both, as long as the regressors are stationary and ergodic.…”
Section: Model Selection and Specificationmentioning
confidence: 99%
“…Bearing in mind the aims of our research, we carried out a regression analysis by referring to the Newey-West estimator which properly considered the nature of our data and produced Heteroskedasticity and Autocorrelation Consistent (HAC) standard errors (Newey and West, 1987) and even recently applied for the analysis of banking and finance issues and the regression analysis on time series data (Ballis and Drakos, 2020;Ho and Lin, 2020;Narayan et al, 2020;Yahaya et al, 2020;Kladí vko and Österholm, 2020). Indeed, the Newey-West (HAC) robust standard errors are consistent when the error term is heteroskedastic, autocorrelated, or both, as long as the regressors are stationary and ergodic.…”
Section: Model Selection and Specificationmentioning
confidence: 99%