印度尼西亚银行业净利息收益率的决定因素:中央银行利率的调节作用

Ardo Ryan Dwitanto, A. Manurung, Nera Marinda Machdar
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摘要

本文旨在研究净息差(NIM)与其决定因素(风险厌恶水平、流动性风险和信用风险)之间的关系。此外,本文还旨在研究中央银行利率对这一关系的调节作用。我们观察了 2017 - 2021 年期间在印尼证券交易所上市的 17 家印尼银行。我们运行了面板数据回归模型,共有 380 个公司年的观察值。豪斯曼检验表明,我们使用随机效应模型(REM)进行参数估计。我们的研究证实,NIM 是由信用风险、流动性风险和风险规避水平决定的。此外,我们还发现,中央银行利率对净利息收益率及其决定因素之间的关系起到了很好的调节作用,从而可以解释净利息收益率及其决定因素之间的动态关系。中央银行利率的存在一致地解释了净利息收益率、风险规避水平、流动性风险和信用风险之间的动态关系。我们的模型考虑到了净利息收益率与其决定因素(信贷风险、流动性风险和风险规避水平)之间的正/负关系。这些研究结果有望揭示以往研究中参差不齐和不一致的结论。中央银行利率的持续影响始终阐明了 NIM、风险规避水平、流动性风险和信贷风险之间的动态关系。这些研究结果有望澄清以往研究中观察到的好坏参半和不确定的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determinants of Net Interest Margin in Indonesian Banking Industry: The Moderating Role of Central Bank Interest Rate
This article is to examine the relationship between net interest margin (NIM) and its determinants: risk averse level, liquidity risk, and credit risk. In addition, the article aims to investigate the moderating role of central bank interest rate on the relationship. We observe 17 Indonesian banks, which are listed on Indonesia Stock Exchange in 2017 – 2021 period. We run panel data regression model with 380 firm-year total observations. The Hausman test suggests that we use Random Effect Model (REM) for the parameter estimation. Our study confirms that NIM is determined by credit risk, liquidity risk, and risk averse level. Other than that, we found that central bank interest rate moderates well the relationship of NIM and its determinants by which the dynamic of the relationship of net interest margin and its determinants can be explained. The presence of the central bank interest rate consistently explains the dynamics of the relationship between NIM, risk averse level, liquidity risk, and credit risk. Our model accommodates the positive/negative relationship of NIM and its determinants: credit risk, liquidity risk, and risk averse level. These findings are expected to shed light on the mixed and inconsistent findings of previous research. The ongoing impact of the central bank interest rate consistently elucidates the dynamics between NIM, risk aversion level, liquidity risk, and credit risk. These findings are expected to bring clarity to the mixed and inconclusive results observed in prior research.
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