利率对南非银行风险承担的影响:周期和地点不对称是否重要?

C. Moyo, Andrew Phiri
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摘要

我们使用非线性自回归分布滞后(NARDL)和量子自回归分布滞后(QARDL)模型,研究了 2008:q1 至 2022:q3 期间利率与南非银行风险承担行为之间的非线性关系。线性自回归分布滞后模型的初步估计结果符合传统理论,而非线性自回归分布滞后模型和量化自回归分布滞后模型的分析表明,变量之间的关系更为复杂。一方面,NARDL 模型显示,货币政策的阶段(周期不对称)在决定利率对银行风险行为的传递效应方面非常重要。我们发现,紧缩性和扩张性货币政策都会通过前者减少流动性和后者增加不良贷款来增加长期风险。另一方面,QARDL 模型表明,银行风险行为水平(位置不对称)也是决定利率对银行风险行为影响的重要因素。我们发现,在无担保贷款和借贷的 "中高风险环境 "下,以及在流动性的 "中低风险环境 "下,利率会影响银行的风险行为。总之,鉴于利率对银行风险承担的多方面影响,这些结果使我们能够提出一些建议,帮助特区银行加强其监督机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Effects of Interest Rates on Bank Risk-Taking in South Africa: Do Cyclical and Location Asymmetries Matter?
We examine the nonlinear relationship between interest rates on bank risk-taking behavior in South Africa between 2008:q1 and 2022:q3 using nonlinear autoregressive distributive lag (NARDL) and quantile autoregressive distributive lag (QARDL) models. Whilst the preliminary estimates from linear ARDL produce results adhering to conventional theory, the NARDL and QARDL analysis shows that the relationship between the variables is more complex. On one hand, the NARDL model shows that the phase of monetary policy (cyclical asymmetries) is important in determining the pass-through effects of interest rates on bank risk behavior. We find that both contractionary and expansionary monetary policy increases long-term risk through decreased liquidity for the former and increased non-performing loans for the latter. On the other hand, the QARDL model shows that the level of bank risk behavior (location asymmetries) is also important in determining the impact of interest rates on bank risk behavior. We find that interest rates affect bank risk behavior in ‘medium-to-high risk environments’ for unsecured loans and lending and in ‘medium-to-low risk environments’ for liquidity. Overall, these results enable us to recommend ways in which the SARB can strengthen its monitoring mechanisms given the multifaceted impact of interest rates on bank risk-taking.
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