埃及的银行中介效率和流动性风险:两阶段非参数分析

IF 2.9 Q2 BUSINESS
Rania Pasha
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引用次数: 0

摘要

这是一项开创性的研究,对埃及公共银行与私营银行的年度中介效率进行了比较分析评估。此外,流动性风险是银行在维持金融稳定过程中面临的主要威胁。因此,本研究首次对埃及公共银行和私营银行流动性风险的决定因素进行建模,同时考察银行的中介效率对其流动性风险水平的影响。研究采用了先进的非参数计量经济学方法,以 2014 年至 2022 年的埃及公共银行和私营银行为样本。数据包络分析法用于估算银行的中介效率得分,而量化回归分析法则用于考察不同流动性风险量级下银行中介效率对流动性风险的影响。研究结果表明,与私人银行相比,公共银行在金融中介效率水平上表现出一贯的优势。此外,本文的研究结果表明,银行中介效率与流动性风险之间存在显著的负相关关系,同时强调了中介效率对降低流动性风险水平较高的银行的流动性风险具有较显著的积极影响。此外,与一般假设相反,本研究结果表明,银行流动性风险的微观和宏观层面决定因素的重要性取决于其当时的流动性风险水平。因此,股权资本、资产集中度、规模和国内生产总值增长对银行流动性风险的积极影响,以及资产质量对银行流动性风险的消极影响,在银行不同的流动性风险量级下有所不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Bank intermediation efficiency and liquidity risk in Egypt: a two-stage non-parametric analyses

Bank intermediation efficiency and liquidity risk in Egypt: a two-stage non-parametric analyses

This is a pioneering study that undertakes a comparative analysis assessing the annual intermediation efficiency of public versus private banks in Egypt. Moreover, liquidity risk is a major threat facing banks in their efforts to sustain financial stability. Thus, this study is the first to model the determinants of liquidity risk in public and private banks in Egypt while examining the impact of banks’ intermediation efficiencies on their liquidity risk levels. The study employs advanced nonparametric econometric approaches on a sample of Egyptian public and private banks from 2014 to 2022. The data envelopment analysis is used in estimating banks’ intermediation efficiency scores, while the quantile regression analysis is applied to examine the impact of bank intermediation efficiency on liquidity risk under different liquidity risk quantiles. The findings indicate that public banks show consistent superiority in terms of their financial intermediation efficiency levels compared to private banks. Moreover, the paper findings demonstrate the negative significant relationship between bank intermediation efficiency and liquidity risk while highlighting the higher significant positive impact of intermediation efficiency on reducing the liquidity risk of banks that are characterized by undertaking high liquidity risk levels. Furthermore, contrary to general assumptions, this study’s findings demonstrate that the significance of micro- and macro-level determinants of a bank’s liquidity risk is dependent on its prevailing liquidity risk level. Hence, the positive impact of equity capital, asset concentration, size, and growth in gross domestic product and the negative effect of asset quality on bank liquidity risk vary under banks’ different liquidity risk quantiles.

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