{"title":"Mutual Causal Effects Between Bank Stability and Profitability in SSA Banking System","authors":"Changjun Zheng, Sinamenye Jean-Petit","doi":"10.47260/jafb/1241","DOIUrl":null,"url":null,"abstract":"Abstract\n\nThis paper intends to assess the interaction between stability factors and profitability\nproxies with macroeconomic factors as controllable variables. The analysis used\nbank risk metrics (LLRs, Credit Growth, and NPLs) and bank performance proxies\n(NIM, ROE, and ROA) with a dataset from 40 countries with 350 active commercial\nbanks. The study uses Autoregressive Distributed Lags estimation with Dynamic\nFixed Effect method (ARDL-DFE) to assess both short and long-run interaction\neffects. The analysis finds that both are interesting for a better sustainable banking\nsystem: the results evidenced a causal interdependence effect between bank\nprofitability ratios and bank stability proxies. Furthermore, three causality tests and\ncointegration analyses were significant enough, which allowed us to conclude that\ncaring for bank risk is caring for bank performance. This study recommends\nregulators (central banks and the Basel Committee) to enforce the bank profitability\nto mitigate related bank risks. The study also suggests (especially Basel Committee)\na regulator tool called Bank Performance/Profit Requirement Ratio (BPRR).\n\nJEL classification numbers: P430, G4, E510.\nKeywords: Bank, Risk, Performance, Stability, Profitability, Interdependence,\nDFE, SSA, Africa.","PeriodicalId":330012,"journal":{"name":"Journal of Applied Finance & Banking","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Finance & Banking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47260/jafb/1241","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Abstract
This paper intends to assess the interaction between stability factors and profitability
proxies with macroeconomic factors as controllable variables. The analysis used
bank risk metrics (LLRs, Credit Growth, and NPLs) and bank performance proxies
(NIM, ROE, and ROA) with a dataset from 40 countries with 350 active commercial
banks. The study uses Autoregressive Distributed Lags estimation with Dynamic
Fixed Effect method (ARDL-DFE) to assess both short and long-run interaction
effects. The analysis finds that both are interesting for a better sustainable banking
system: the results evidenced a causal interdependence effect between bank
profitability ratios and bank stability proxies. Furthermore, three causality tests and
cointegration analyses were significant enough, which allowed us to conclude that
caring for bank risk is caring for bank performance. This study recommends
regulators (central banks and the Basel Committee) to enforce the bank profitability
to mitigate related bank risks. The study also suggests (especially Basel Committee)
a regulator tool called Bank Performance/Profit Requirement Ratio (BPRR).
JEL classification numbers: P430, G4, E510.
Keywords: Bank, Risk, Performance, Stability, Profitability, Interdependence,
DFE, SSA, Africa.