银行资本缓冲与银行风险:来自纳米比亚银行业的证据

Johannes P. S. Sheefeni
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引用次数: 0

摘要

目的:在对资本缓冲的周期性行为缺乏共识的情况下,本文分析了纳米比亚银行风险对资本缓冲的影响。设计/方法/方法:本研究对2001年至2019年的季度数据采用了自回归分布滞后(ARDL)建模技术。研究发现:第一,因变量与自变量之间存在长期的关系。其次,研究表明,不良贷款占总贷款的比率在短期内对资本缓冲产生负面影响,而在长期内对资本缓冲产生积极影响。此外,资产回报率和流动性在短期和长期都对资本缓冲产生负面影响。相反,以贷款总额的对数形式表示的银行规模在短期和长期都对资本缓冲有积极影响。研究局限/启示:不能获得长期跨度的数据是不可取的。此外,某些变量的有限数据缩小了可纳入研究的各种变量的选择范围。原创性/价值:本文对反周期假说理论做出了贡献。这些发现的政策含义是,逆周期关系的存在支持从巴塞尔协议II到巴塞尔协议III的过渡,以减轻文献中记录的巴塞尔协议II所经历的顺周期。未来的研究应侧重于使用各种变量来评估这种关系,并看看结果是否会有所不同。
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Bank Capital Buffers and Bank Risks: Evidence from the Namibian Banking Sector
Purpose: This paper analysed the effects of bank’s risk on capital buffer in Namibia, in the absence of the consensus on the cyclical behavior of capital buffers. Design/methodology/approach: The study employed the autoregressive distributed lag (ARDL) modelling technique on quarterly data for the period 2001 to 2019. Findings: The study found the following: First, there is a long run relationship between the dependent variable and the independent variables. Second, the study showed that the ratio of NPLs to gross total loans negatively affect capital buffers in the short run, while it positively affects capital buffers in the long run. Furthermore, return on assets and liquidity negatively affects capital buffers in both the short and long run. On the contrary, bank size in form of log of total loans positively affects capital buffers in both the short and long run. Research limitations/implications: The unavailability of data of a long-term span is not desirable. Moreover, the limited data of certain variables narrowed the choice of a variety of variables that could be included in the study. Originality/value: The paper contributes to the hypothesized theory of countercyclical. The policy implication from these findings is that the presence of countercyclical relationship is in support of the transition from Basel II to Basel III to mitigate the procyclical as experienced under Basel II accords as documented in the literature. Future studies should focus on using a variety of variables to assess this relationship and see whether or not the outcome will be different.
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