2021
DOI: 10.1016/j.pacfin.2021.101610
|View full text |Cite
|
Sign up to set email alerts
|

Economic policy uncertainty and bank stability: Threshold effect of institutional quality and competition

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

3
47
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
8
1

Relationship

2
7

Authors

Journals

citations
Cited by 65 publications
(59 citation statements)
references
References 144 publications
3
47
0
Order By: Relevance
“…Therefore, for a comprehensive analysis, we employ a series of alternative bank stability proxies in this study. Firstly, we followed the earlier studies of Laeven and Levine (2009) , Elnahass et al (2021) , and Shabir et al (2021) and used the Z-score as the proxy for bank default risk. The Z-score determines the bank's distance to insolvency ( Roy, 1952 ), and it is assumed to be an unbiased bank risk indicator based on accounting data.…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, for a comprehensive analysis, we employ a series of alternative bank stability proxies in this study. Firstly, we followed the earlier studies of Laeven and Levine (2009) , Elnahass et al (2021) , and Shabir et al (2021) and used the Z-score as the proxy for bank default risk. The Z-score determines the bank's distance to insolvency ( Roy, 1952 ), and it is assumed to be an unbiased bank risk indicator based on accounting data.…”
Section: Methodsmentioning
confidence: 99%
“…Furthermore, we extend our basic analysis to examine how bank characteristics shape the effects of COVID-19 shocks on bank performance. Current studies have shown that bank features such as size, capitalization, liquidity, and diversification have significantly influenced bank performance ( Altunbas et al, 2012 ; Shabir et al, 2021 ). Therefore, to estimate the heterogeneity across the bank, we include the interaction terms of bank size, capitalization, liquidity, and diversification with COIVD-19 in our main regression model.…”
Section: Resultsmentioning
confidence: 99%
“…However, cross-country data for most of these variables is scarce; hence, most scholars proposed the banks Z-score as a proxy of financial stability. Higher Z-score indicates a low probability for a system to become unstable [7,31,52,55]. Consequently, this research used a composite index for financial inclusion and Z-score for financial stability as proxy variables.…”
Section: Methodsmentioning
confidence: 99%
“…The financial inclusion index has a significant positive relationship with stability (Z-score) and a negative effect on the deposit growth rates and nonperforming loan ratio, indicating that an inclusive financial system contributes to more stable deposits and safe loans and, thereby, stable banks [51]. Economic policy uncertainty has adverse consequences on bank stability in all countries irrespective of their level of development, advocating the importance of institutional quality [52].…”
Section: Empirical Literaturementioning
confidence: 99%