巴塞尔协议III资本监管对信用风险的影响:一个混合模型

Nadim Alfouhaili, F. Gautier, I. Zaarour
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引用次数: 0

摘要

本研究以2012-2017年黎巴嫩25家商业银行为样本,考察了巴塞尔协议III资本监管(BCR)对信用风险(CR)的影响。BCR是用资本充足率(CAR)和普通股一级资本充足率(CET1比率)来衡量的,CR是用信贷损失的净拨备/总资产来衡量的。为了分析数据,我们构建了一个基于3种统计方法的混合模型。首先,我们在贝叶斯信念网络形式主义(BBN)框架下,利用概率推理对BCR和CR的双重影响进行建模。其次,为了更多地强调BCR和CR之间的相关性,我们使用Spearman相关检验作为非参数方法。第三,应用多元回归分析研究CAR和CET1比值对CR的同时影响。通过分析第一种方法的概率推断,我们得出结论,对于高水平的CET1比率,BCR对CR有影响,但当我们使用Spearman相关检验和多变量回归分析进一步研究这种影响是否显著时,我们得出结论,巴塞尔协议III资本监管(BCR)对信用风险(CR)没有统计学意义上的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of Basel III Capital Regulation on Credit Risk: A Hybrid Model
This research examined the impact of Basel III capital regulation (BCR) on credit risk (CR) using a sample of 25 commercial banks in Lebanon over the period 2012–2017. BCR is measured using the capital adequacy ratio (CAR) and the common equity tier one ratio (CET1 ratio), CR is measured using net provision for credit losses /total assets. To analyze the data, we constructed a hybrid model based on 3 statistical approaches. First, we modelled the dual impact of BCR and CR using probabilistic inference in the framework of Bayesian Belief Network formalism (BBN). Second, to highlight more about the correlation between BCR and CR, we used Spearman correlation test as a nonparametric approach. Third to study the simultaneous effect of CAR and CET1 ratio on CR we applied multivariate regression analysis. By analyzing the probabilistic inference for the first approach we concluded that there is an effect of BCR on CR especially for the high level of CET1 ratio, but when we investigated more if this effect is significant using the Spearman correlation test and the multivariate regression analysis, we concluded that there is no effect statistically significant of Basel III capital regulation (BCR) on credit risk (CR).
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