2022
DOI: 10.1016/j.jempfin.2022.05.003
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COVID-19, bank deposits, and lending

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Cited by 29 publications
(16 citation statements)
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References 47 publications
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“…To further verify this finding, we conduct a bank-level analysis of the relationship between the vaccination and bank deposits. 11 To that end, we follow the empirical design of Dursun-de Neef and Schandlbauer (2022) . Specifically, we compute a weighted average vaccination rate based on a bank holding company’s branch-level deposits in a certain county.…”
Section: Resultsmentioning
confidence: 99%
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“…To further verify this finding, we conduct a bank-level analysis of the relationship between the vaccination and bank deposits. 11 To that end, we follow the empirical design of Dursun-de Neef and Schandlbauer (2022) . Specifically, we compute a weighted average vaccination rate based on a bank holding company’s branch-level deposits in a certain county.…”
Section: Resultsmentioning
confidence: 99%
“…To measure deposit flows, which can be used as a proxy for household savings, we obtain bank branch-level deposit data from the Summary of Deposits (SOD) database provided by FDIC and then aggregate the data at the county level. 4 This measure has been extensively used in finance studies (e.g., Drechsler et al, 2017 ; Li et al, 2019 ) as well as in COVID-19 related literature (e.g., Levine et al, 2021 ; Dursun-de Neef and Schandlbauer, 2022 ). Relying on confirmed COVID-19 cases data provided by Johns Hopkins University, we calculate Infection rate as the mean number of confirmed COVID-19 cases in a county divided by the population in that county in a given year.…”
Section: Sample and Empirical Strategymentioning
confidence: 99%
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“…Therefore, to avoid this concern, we use the last 300 observations for the evaluation to test the robustness. The impact of the COVID‐19 pandemic on the economy and financial markets has received a lot of attention from researchers recently (see, e.g., Augustin et al, 2022; Dursun‐de Neef & Schandlbauer, 2022; Tran & Uzmanoglu, 2022). Accordingly, to examine the predictive performance of product‐side returns during the COVID‐19 pandemic, we use March to December 2020 as an alternative evaluation window.…”
Section: Out‐of‐sample Evidencementioning
confidence: 99%
“…Another kind of studies examines the impact of external factors on bank loans. For instance, capital requirements and monetary policy (Chakraborty et al 2020 ; Benetton and Fantino 2021 ; Imbierowicz et al 2021 ; Yun and Cho 2022 ; Auer et al 2022 ), quantitative easing (Chen et al 2022 ), economic policy uncertainty (Shabir et al 2022 ), COVID-19 pandemic (Ҫolak and Öztekin 2021 ; Dursun-de Neef and Schandlbauer 2022 ), interest rate risk (Beutler et al 2020 ), foreign exchange risk (Kim et al 2021 ), trade and financial openness (Ashraf et al 2021 ), economic uncertainty and geopolitical risk (Alessandri and Bottero 2020 ; Demir and Danisman 2021 ), environmental regulation (Fard et al 2020 ), social trust (Álvarez-Botas and González 2021 ), etc.…”
Section: Introductionmentioning
confidence: 99%