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Weathering the COVID-19 storm: The case of community banks.

ABSTRACT: We examine the immediate impact of COVID-19 on the performance of FDIC chartered banks. Our experimental design analyses the performance of community banks and large banks before and during the COVID-19 pandemic. Community banks significantly outperform large banks in several key measures in the first three-quarters of COVID-19. Findings are consistent with the view that the advantages of solid customer relationships and a greater understanding of local businesses are invaluable during periods of high externalities. This result is more pronounced for community banks located in metropolitan areas. We also find that the pandemic's adverse effects on bank performance are minimized in states with higher quality healthcare facilities, as measured by our healthcare index. In addition, the performance of community banks varies across geographical regions during this pandemic period. Finally, our study expands the understanding of how community banks' performance and risk-taking change during a pandemic.

SUBMITTER: Hassan MK

PROVIDER: S-EPMC8716412 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature

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Weathering the COVID-19 storm: The case of community banks.

Hassan M Kabir MK Karim M Sydul MS Lawrence Shari S Risfandy Tastaftiyan T

Research in international business and finance 20211230

We examine the immediate impact of COVID-19 on the performance of FDIC chartered banks. Our experimental design analyses the performance of community banks and large banks before and during the COVID-19 pandemic. Community banks significantly outperform large banks in several key measures in the first three-quarters of COVID-19. Findings are consistent with the view that the advantages of solid customer relationships and a greater understanding of local businesses are invaluable during periods o ...[more]

PMID: 34980934

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Project description:BackgroundSyringe services programs (SSPs) are community-based prevention programs that provide a range of harm reduction services to persons who inject drugs. Despite their benefits, SSP laws vary across the United States. Little is known regarding how legislation surrounding SSPs may have influenced HIV transmission over the COVID-19 pandemic, a period in which drug use increased. This study examined associations between state SSP laws and HIV transmission among the Medicaid population before and after the COVID-19 pandemic.MethodsState-by-month counts of new HIV diagnoses among the Medicaid population were produced using administrative claims data from the Transformed Medicaid Statistical Information System from 2019 to 2020. Data on SSP laws were collected from the Prescription Drug Abuse Policy System. Associations between state SSP laws and HIV transmission before and after the start of the COVID-19 pandemic were evaluated using an event study design, controlling for the implementation of COVID-19 nonpharmaceutical interventions and state and time fixed effects.ResultsState laws allowing the operation of SSPs were associated with 0.54 (P = 0.044) to 1.18 (P = 0.001) fewer new monthly HIV diagnoses per 100,000 Medicaid enrollees relative to states without such laws in place during the 9 months after the start of the COVID-19 pandemic. The largest effects manifested for population subgroups disproportionately affected by HIV, such as male and non-Hispanic Black Medicaid enrollees.ConclusionLess restrictive laws on SSPs may have helped mitigate HIV transmission among the Medicaid population throughout the COVID-19 pandemic. Policymakers can consider implementing less restrictive SSP laws to mitigate HIV transmission resulting from future increases in injection drug use.DisclaimerThe findings and conclusions in this report are those of the author(s) and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Dataset Information

Weathering the COVID-19 storm: The case of community banks.

Publications

Weathering the COVID-19 storm: The case of community banks.

Similar Datasets

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