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How are the United States Banks faring during the COVID-19 Pandemic? Evidence of Economic Efficiency Measures

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  • Sakouvogui Kekoura
  • Guilavogui Mama Genevieve

Abstract

Due to the current lockdown and restrictions related to the COVID-19, U.S. commercial and domestic banks are facing cashflow and financial difficulties. This has led to many vulnerable customers losing their source of income. In this paper, we examine the importance of financial liquidity and solvency on U.S. commercial and domestic banks’ efficiency during the COVID-19. This paper adopts the Data Envelopment Analysis’ estimator in a two-step procedure. First, economic efficiency measures of 16,830 December quarterly observations of U.S. commercial and domestic banks are estimated from December 2010 to December 2020. Within each year, 1,530 U.S. commercial and domestic banks are selected. Second, using Tobit and panel fixed effect regression models, the importance of both liquidity and solvency risks on economic efficiency during the COVID-19 is examined. Empirical estimates indicate that both liquidity and solvency financial factors negatively affect the economic efficiency measures of U.S. commercial and domestic banks during the COVID-19.

Suggested Citation

  • Sakouvogui Kekoura & Guilavogui Mama Genevieve, 2022. "How are the United States Banks faring during the COVID-19 Pandemic? Evidence of Economic Efficiency Measures," Open Economics, De Gruyter, vol. 5(1), pages 11-29, January.
  • Handle: RePEc:vrs:openec:v:5:y:2022:i:1:p:11-29:n:1
    DOI: 10.1515/openec-2022-0117
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    as
    1. Allen N. Berger & Christa H. S. Bouwman, 2009. "Bank Liquidity Creation," The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3779-3837, September.
    2. David Adeabah & Charles Andoh, 2020. "Cost efficiency and welfare performance of banks: evidence from an emerging economy," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 16(5), pages 549-574, July.
    3. Santeramo, Fabio Gaetano & Tappi, Marco & Lamonaca, Emilia, 2021. "On the management of COVID-19 pandemic in Italy," Health Policy, Elsevier, vol. 125(8), pages 995-1001.
    4. Scott R. Baker & Robert A Farrokhnia & Steffen Meyer & Michaela Pagel & Constantine Yannelis, 2023. "Income, Liquidity, and the Consumption Response to the 2020 Economic Stimulus Payments," Review of Finance, European Finance Association, vol. 27(6), pages 2271-2304.
    5. Berger, Allen N. & Humphrey, David B., 1991. "The dominance of inefficiencies over scale and product mix economies in banking," Journal of Monetary Economics, Elsevier, vol. 28(1), pages 117-148, August.
    6. Dhaval M. Dave & Joseph J. Sabia & Samuel Safford, 2021. "The Limits of Reopening Policy to Alter Economic Behavior: New Evidence from Texas," NBER Working Papers 28804, National Bureau of Economic Research, Inc.
    7. Stefania Albanesi & Jiyeon Kim, 2021. "The Gendered Impact of the COVID-19 Recession on the US Labor Market," NBER Working Papers 28505, National Bureau of Economic Research, Inc.
    8. Coelli, Tim J., 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 1-27, December.
    9. Sakouvogui Kekoura & Shaik Saleem & Addey Kwame Asiam, 2020. "Cluster-Adjusted DEA Efficiency in the presence of Heterogeneity: An Application to Banking Sector," Open Economics, De Gruyter, vol. 3(1), pages 50-69, January.
    10. Nicola Fuchs-Schünde & Dirk Krueger & Alexander Ludwig & Irina Popova, 2022. "The Long-Term Distributional and Welfare Effects of Covid-19 School Closures," The Economic Journal, Royal Economic Society, vol. 132(645), pages 1647-1683.
    11. Oleg Badunenko & Daniel J. Henderson & Subal C. Kumbhakar, 2012. "When, where and how to perform efficiency estimation," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(4), pages 863-892, October.
    12. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    13. Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    14. Douglas W. Diamond & Raghuram G. Rajan, 2005. "Liquidity Shortages and Banking Crises," Journal of Finance, American Finance Association, vol. 60(2), pages 615-647, April.
    15. Tatyana Deryugina & Olga Shurchkov & Jenna Stearns, 2021. "COVID-19 Disruptions Disproportionately Affect Female Academics," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 164-168, May.
    16. Bauer, Paul W. & Berger, Allen N. & Ferrier, Gary D. & Humphrey, David B., 1998. "Consistency Conditions for Regulatory Analysis of Financial Institutions: A Comparison of Frontier Efficiency Methods," Journal of Economics and Business, Elsevier, vol. 50(2), pages 85-114, March.
    17. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    18. Skoufias, Emmanuel, 2003. "Economic Crises and Natural Disasters: Coping Strategies and Policy Implications," World Development, Elsevier, vol. 31(7), pages 1087-1102, July.
    19. Anil K. Kashyap & Raghuram Rajan & Jeremy C. Stein, 2002. "Banks as Liquidity Providers: An Explanation for the Coexistence of Lending and Deposit‐taking," Journal of Finance, American Finance Association, vol. 57(1), pages 33-73, February.
    20. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    21. Pasiouras, Fotios & Tanna, Sailesh & Zopounidis, Constantin, 2009. "The impact of banking regulations on banks' cost and profit efficiency: Cross-country evidence," International Review of Financial Analysis, Elsevier, vol. 18(5), pages 294-302, December.
    22. Sophia Chen & Ms. Deniz O Igan & Mr. Nicola Pierri & Mr. Andrea F Presbitero, 2020. "Tracking the Economic Impact of COVID-19 and Mitigation Policies in Europe and the United States," IMF Working Papers 2020/125, International Monetary Fund.
    23. Vazquez, Francisco & Federico, Pablo, 2015. "Bank funding structures and risk: Evidence from the global financial crisis," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 1-14.
    24. Drake, Leigh & Hall, Maximilian J.B. & Simper, Richard, 2006. "The impact of macroeconomic and regulatory factors on bank efficiency: A non-parametric analysis of Hong Kong's banking system," Journal of Banking & Finance, Elsevier, vol. 30(5), pages 1443-1466, May.
    25. Serina Chang & Emma Pierson & Pang Wei Koh & Jaline Gerardin & Beth Redbird & David Grusky & Jure Leskovec, 2021. "Mobility network models of COVID-19 explain inequities and inform reopening," Nature, Nature, vol. 589(7840), pages 82-87, January.
    26. van den Broeck, Julien & Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1994. "Stochastic frontier models : A Bayesian perspective," Journal of Econometrics, Elsevier, vol. 61(2), pages 273-303, April.
    27. David Bounie & Youssouf Camara & John Galbraith, 2020. "The COVID-19 containment seen through French consumer transaction data: Expenditures, mobility and online substitution," Post-Print hal-02640751, HAL.
    28. World Bank, 2020. "The COVID-19 Pandemic [Pandémie De Covid-19]," World Bank Publications - Reports 33696, The World Bank Group.
    29. Zhixian Lin & Christopher M. Meissner, 2020. "Health vs. Wealth? Public Health Policies and the Economy During Covid-19," NBER Working Papers 27099, National Bureau of Economic Research, Inc.
    30. Tser-Yieth Chen, 2002. "A comparison of chance-constrained DEA and stochastic frontier analysis: bank efficiency in Taiwan," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(5), pages 492-500, May.
    31. Lagoarde-Segot, Thomas & Leoni, Patrick L., 2013. "Pandemics of the poor and banking stability," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4574-4583.
    32. TAMURA Sakuya & SAWADA Yasuyuki, 2009. "Consumption Insurance against Unforeseen Epidemics:The Case of Avian Influenza in Vietnam," Discussion papers 09023, Research Institute of Economy, Trade and Industry (RIETI).
    33. Goodell, John W., 2020. "COVID-19 and finance: Agendas for future research," Finance Research Letters, Elsevier, vol. 35(C).
    34. Viral V Acharya & Sascha Steffen, 2020. "The Risk of Being a Fallen Angel and the Corporate Dash for Cash in the Midst of COVID," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 9(3), pages 430-471.
    35. Daniel Lewis & Karel Mertens & James H. Stock, 2020. "U.S. Economic Activity During the Early Weeks of the SARS-Cov-2 Outbreak," NBER Working Papers 26954, National Bureau of Economic Research, Inc.
    36. Casey B. Mulligan, 2020. "Deaths of Despair and the Incidence of Excess Mortality in 2020," Working Papers 2020-185, Becker Friedman Institute for Research In Economics.
    37. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    38. Demirgüç-Kunt, Asli & Pedraza, Alvaro & Ruiz-Ortega, Claudia, 2021. "Banking sector performance during the COVID-19 crisis," Journal of Banking & Finance, Elsevier, vol. 133(C).
    39. Zheng, Chen & Zhang, Junru, 2021. "The impact of COVID-19 on the efficiency of microfinance institutions," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 407-423.
    40. Mike G. Tsionas, 2017. "“When, Where, and How” of Efficiency Estimation: Improved Procedures for Stochastic Frontier Modeling," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 948-965, July.
    41. Patrick L. Leoni, 2013. "Hiv/Aids And Banking Stability In Developing Countries," Bulletin of Economic Research, Wiley Blackwell, vol. 65(3), pages 225-237, July.
    42. Casey B. Mulligan, 2020. "Deaths of Despair and the Incidence of Excess Mortality in 2020," NBER Working Papers 28303, National Bureau of Economic Research, Inc.
    43. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    More about this item

    Keywords

    COVID-19; DEA; Liquidity; Solvency;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices

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