No abstract

PurposeThe purpose of this study is to analyze and forecast the financial sustainability and resilience of commercial banks of Bangladesh in response to the negative effects of COVID-19 pandemic.Design/methodology/approachEighteen publicly listed commercial banks of Dhaka Stock Exchange (DSE) have been taken as a sample for this study. To measure the riskiness of banks' credit portfolio, nine industries of DSE have been considered to determine probable loss of revenue arising from the COVID-19 pandemic shock. Moreover, two commonly used multiple-criteria-decision-making (MCDM) tools namely TOPSIS method and HELLWIG method have been used for analyzing the data.FindingsBased on the performance scores under TOPSIS and HELLWIG method, banks are categorized into three groups (six banks each) namely top resilient, moderate resilient and low resilient. It is found that EBL and DBBL are the most resilient banks, and ONEBANK is the worst resilient bank in Bangladesh in managing the COVID-19 pandemic shock.Research limitations/implicationsThis study concludes that banks with low capital adequacy, low liquidity ratio, low performance and higher NPLs are more vulnerable to the shocks caused by the COVID-19 pandemic. The management of commercial banks should emphasize on maintaining higher capital base and reducing default loans.Originality/valueResilience of the Bangladeshi banking sector under any adverse economic event has been examined by only using stress testing approach. This study is empirical evidence where both TOPSIS and HELLWIG MCDM methods have been used to make the result conclusive.

No abstract

Purpose The usage rate of mobile financial services (MFS) has shown an uptick since the emergence of the COVID-19 pandemic in Bangladesh. This study aims to reveal the underpinning reasons for such MFS surge and its continuance by integrating health belief model (HBM) and expectation confirmation model (ECM).Design/methodology/approach The study analyzes 529 MFS users' responses during the second wave of the COVID-19 outbreak in Bangladesh using the partial least square method.Findings Satisfaction is more predictive than perceived usefulness in explaining continuance usage intention. Expectation confirmation also indirectly affects continuance intention. Among the HBM constructs, the indirect effect of perceived severity on continuance intention via perceived usefulness and satisfaction is significant. Besides, the impact of self-efficacy on continuance intention is also significant. Moreover, perceived credibility significantly affects satisfaction and indirectly affected continuance usage intention via satisfaction.Practical implications The study projects boosting customers' satisfaction is critical for the successful retention of existing MFS customers. MFS service providers should emphasize the factors that amplify satisfaction. They must evaluate preadoption factors so that customers can have positive confirmation. Especially, the service providers, the policymakers and the regulators should take an active role in improving the users' self-efficacy and the system's credibility. Undertaking the MFS literacy program, installing hotline service to provide emergency help will boost users' confidence in using the system.Originality/value The study is a unique contribution in the context of Bangladesh. To the best of the authors’ knowledge, no previous MFS studies in Bangladesh explored MFS continuance usage intention during COVID-19 and beyond. Besides, the inclusion of “perceived credibility” in the framework will supplement the earlier studies conducted on this aspect.

Recently the performance of banking industry is one of the much talked issues in the history of Bangladesh. Predicting the factors of financial crises in banks is very much important as this sector is facing a crises moment now. This study examined the driving factors of financial crises in banking sector using panel data consisted of five year observations (2012-2016) for each of 28 PCBs listed in Dhaka Stock Exchange (DSE) and 6 State-Owned Commercial Banks (SCBs). Financial crisis is measured by Altman’s Z-score and Pooled Ordinary Least Square (Pooled OLS) has been applied to find out the factors necessary to condense financial crisis in banks.The study found that SCBs and listed PCBs in Bangladesh are facing financial crisis on the basis of Altman’s Z-score model. Results of the analysis postulated that CRAR, NIIR and NINTR significantly contribute to lessen financial crisis in listed PCBs and also in SCBs. Therefore, the study suggests the regulatory authorities, including stakeholders and researchers to taking into account the findings of the study and to be more alert of the operations of SCBs and PCBs in order to steps forward the performance of this sector as well development of the country in the coming future.