The impact of liquidity risk and credit risk on bank profitability during COVID-19

被引:0
|
作者
Haris, Muhammad [1 ,2 ]
Yao, HongXing [1 ]
Fatima, Hijab [2 ]
机构
[1] Jiangsu Univ, Sch Finance & Econ, Zhenjiang, Peoples R China
[2] Bahauddin Zakariya Univ, Inst Banking & Finance, Multan, Pakistan
来源
PLOS ONE | 2024年 / 19卷 / 09期
关键词
NON-PERFORMING LOANS; EMPIRICAL-EVIDENCE; DETERMINANTS; STABILITY; MODEL; RUNS; DIVERSIFICATION; COMPETITION; EFFICIENCY; COUNTRIES;
D O I
10.1371/journal.pone.0308356
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The COVID-19 outbreak caused a massive setback to the stability of financial system due to emergence of several other risks with COVID, which significantly influenced the continuity of profitable banking operations. Therefore, this study aims to see that how differently the liquidity risk and credit risk influenced the banking profitability during Covid-19 (Q12020 to Q42021) than before COVID (Q12018 to Q42019). The study employs pooled OLS, and OLS fixed & random effects models, to analyze the panel data on a sample of 37 banks currently operating in Pakistan. The results depict that liquidity risk has a positive and significant relationship with return on assets and return on equity, but insignificant relationship with net interest margin. Credit risk has a negative and significant relationship with return on assets, return on equity, and net interest margin. The study also applies quantile regression to address the normality issue in data. The quantile regression results are consistent with pooled OLS, and OLS fixed and random effects results. The study makes valuable suggestions for regulators, policymakers, and others users of financial institutional data. The current study will help to set policies for efficient management of LR and CR.
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页数:24
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