银行净利息收入的决定因素:以塞尔维亚为例

Miloš Đaković, N. Milenković, Jelena Andrašić
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引用次数: 0

摘要

利息净收入是衡量银行盈利能力的主要指标之一。在实践中,资产收益率(ROA)和资本收益率(ROE)指标是最常用的指标,但本研究的主题是调查对塞尔维亚市场上银行净利息收入影响最大的决定因素。这项研究是基于先前对许多国家影响银行盈利能力的因素的大量分析。本研究涵盖2014年至2021年期间,包括目前在塞尔维亚市场运营的22家银行。为研究目的所使用的数据取自银行本身的财务报告以及世界银行的数据库。在研究中,作者以净息差(NIM)作为因变量,以净非息差(NNIM)、流动性(LIQ)、债务(LOAN)、银行规模(Size)、不良贷款(NPL)和失业率(UNEM)等指标作为自变量。在分析中,作者分析了相关矩阵,Levin, Lin & Chu单位根检验,方差膨胀指数,以及基于固定效应和随机效应的回归模型的推导。研究结果显示,流动性和银行规模因素对净息差方向有负向影响,而债务和失业指标则有正向影响。
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 banks net interest income: The example of Serbia
Net interest income represents one of the main indicators of banks' profitability. In practice, return on assets (ROA) and return on capital (ROE) indicators are most often used as indicators, but the topic of this study is the investigation of determinants, that have the greatest impact on the net interest income of banks in the Serbian market. The research is based on numerous previous analyzes of factors that have effects on the profitability of banks in many countries. This study covers the period from 2014 to 2021 and includes a total of 22 banks currently operating in the Serbian market. The data used for the purposes of the research were taken from the financial reports of the banks themselves, as well as the World Bank database. In the research, the authors take Net Interest Margin (NIM) as a dependent variable, while as independent variables they take indicators of Net Non-Interest Margin (NNIM), Liquidity (LIQ), Debts (LOAN), Bank Size (SIZE), Non-performing loans (NPL) and Unemployment (UNEM). In the analysis, the authors analyzed the correlation matrix, the Levin, Lin & Chu unit root test, the variance inflation index, as well as the derivation of regression models based on fixed and random effects. The findings showed a negative effect of liquidity and bank size factors on direction of net interest margin, while debt and unemployment indicators showed a positive influence.
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来源期刊
Ekonomika Vilniaus Universitetas
Ekonomika Vilniaus Universitetas Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
1.40
自引率
0.00%
发文量
15
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