银行资本充足率动态建模与流动性风险管理,来自尼日利亚商业银行的实证证据

S. L. C. Adamgbo, A. Toby, A. A. Momodu, J. C. Imegi
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摘要

本研究考察了资本充足率对尼日利亚流动性风险管理实践的影响。次要时间序列数据来自尼日利亚15家上市商业银行的年度报告,这些报告由尼日利亚证券交易所事实手册汇编,时间为1989年至2015年。自变量资本充足率分为一级,二级总风险资产,资本保护缓冲(CCB),最低总资本(MTC)和反周期缓冲(CCyB)。因变量流动性风险用资本充足率指标的五个变量建模。建立多元回归方程,并基于E-views version 9.0得到结果。OLS和协整结果表明,LIQR与资本充足率(CAR)之间存在短期和长期均衡关系。单位根检验表明变量在水平和第一差即1(0)和1(1)处是平稳的。VAR检验表明,流动性风险的波动受到资本充足率指标的显著影响。格兰杰因果检验显示流动性风险与资本充足率之间存在单向联系。脉冲响应函数(IRF)表明流动性风险对资本充足率指标的响应为负。方差分解结果表明,LIQR在短期内占自身冲击的78.73%,而在长期内占14.76%,其余86.34%分布在以建行占比最高的资本充足率指标中。本研究的结论是,过渡到巴塞尔协议III将进一步减轻流动性风险的集中,避免尼日利亚银行体系的系统性失败。建议风险管理应成为尼日利亚银行业监管机构和经营者的政策重点和优先事项。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling Bank Capital Adequacy Dynamics and Liquidity Risk Management, Empirical Evidence from the Nigeria Commercial Banks
This study examines the effects of Capital adequacy on liquidity risk management practices in Nigeria. The secondary time series data were obtained from the annual reports of the fifteen (15) quoted commercial banks in Nigeria as compiled from the Nigeria Stock Exchange Fact book for the period 1989 to 2015. The independent variables capital adequacy are categorised under Tier I, Tier II to total risk assets, capital conservation buffer (CCB), Minimum total capital (MTC) and counter-cyclical Buffer (CCyB). The dependent variable Liquidity risk was modelled with the five variants of capital adequacy measures. The multivariate regression equation were specified and results obtained based on E-views version 9.0. The OLS and cointegration result shows existence of a short run and long run equilibrium relationship between LIQR and capital adequacy (CAR). The Unit root test shows that the variables were stationary at level and first difference i.e. 1(0) and 1(1). The VAR test indicates that fluctuations in liquidity risk are significantly influenced by capital adequacy measures. The granger-causality test shows a unidirectional link between liquidity risk and capital adequacy. The impulse response function (IRF) shows that liquidity risk responded negatively to capital adequacy measures. The variance decomposition results indicates that LIQR accounted for 78.73% of own shocks at the short run, while at the long run accounted for 14.76%, the rest of 86.34% were distributed among the capital adequacy measures with CCB accounted for the highest. This study concludes that transition to Basel III will further mitigate the concentration of liquidity risk and avert systematic failure in the Nigeria banking system. It is recommended that risk management should be a matter policy focus and priority among regulators and operators in Nigeria banking industry.
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