影响银行净息差的因素与货币政策的作用——来自土耳其的证据

M. H. Yılmaz
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引用次数: 2

摘要

在本研究中,我们调查了影响土耳其商业银行净息差的因素。特别是,我们的研究结果强调了非常规货币政策冲击与银行利润率之间的关系。为此,首先,我们对非对称利益走廊框架的哪些参数在解释NIM变化方面很重要进行了识别分析。利用行业层面的数据,我们发现BIST银行间隔夜回购/逆回购市场利率和加权平均融资成本(WACF)与银行贷款和存款利率之间存在传递。通过降维向量自回归(VAR)分析,我们发现BIST利率和WACF对商业贷款利率、消费者贷款利率和存款利率存在传递机制。2011年第一季度至2016年第一季度期间,土耳其16家商业银行的面板向量自回归(面板VAR)分析也显示了贷款和存款利率的相同传递。在识别分析之后,我们通过控制银行特定因素、行业相关因素和宏观经济因素,通过系统广义矩量法(GMM)技术来检验NIM与政策利率之间的关系。我们发现,货币政策利率的变化对零利率产生了显著而积极的影响。在银行特定因素中,股权比率和运营费用在样本期内对NIM有显著影响。我们的实证结果也强调了NIM滞后值的重要性。用标准化变量进行的估计表明,滞后值和银行特定变量的经济意义大于政策的经济意义。
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Factors Impacting Bank Net Interest Margin and the Role of Monetary Policy: Evidence from Turkey
In this study, we investigate factors affecting net interest margin (NIM) of commercial banks in Turkey. Especially, our results highlight the relation between unconventional monetary policy shocks and bank margins. To this end, first, we conduct an identification analysis about which parameters of asymmetric interest corridor framework are important in explaining variations in NIM. Using industry-level data, we show that there exists a pass through from BIST interbank overnight repo/reverse repo market rate and weighted average cost of funding (WACF) to bank loan and deposit rates. As a result of reduced-form Vector Autoregression (VAR) analysis we find the existence of a transmission mechanism from BIST rate and WACF to commercial loan rate, consumer loan rate and deposit rate. Same pass through to loan and deposit rates is also shown in individual bank level with the Panel Vector Autoregression (Panel VAR) analysis in the case of 16 commercial banks in Turkey during the period 2011Q1-2016Q1. After the identification analysis, we examine the relationship between NIM and policy rates through System Generalized Method of Moments (GMM) techniques by controlling bank specific, industry related and macroeconomic factors. We find that a change in the monetary policy rate has significant and positive impact on NIM. Among bank-specific factors, equity ratio and operating expenses are found to be significantly affecting NIM during the sample period. Our empirical findings also stress the significance of lag values of NIM. Estimations conducted with standardized variables indicate that economic significance of lag values and bank specific variables are larger than that of policy.
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