IMPACT OF COVID-19 ON THE FINANCIAL STABILITY OF COMMERCIAL BANKS IN KENYA

Noah Muthondu Mathenge, Joseph Muniu

Abstract


Countries worldwide were gripped by the COVID-19 pandemic for the greater part of 2020 and 2021. COVID-19 spread to virtually all nations around the globe, causing a contraction of the global economy, and Kenya was no exception. Governments worldwide deployed social distancing, lockdowns, and curfews, which resulted in employee lay-off, business closure, and suppressed demand for commodities and services, eventually trickling down to commercial banks. The Kenyan banking sector experienced deterioration in asset quality which has been worsening since 2014 when it stood at 5.6 percent, reaching an all-time high of 14.5 percent in 2020 whereas Return on Assets which has also been declining since 2014, stood at 4.46 percent dropped to a record low of 2.07 percent in 2020 during the pandemic. This study, therefore, sought to determine how the financial stability of Kenyan commercial banks has been impacted by the COVID-19 shock. The study sought to specifically establish how both Z-score and capital adequacy of Kenyan commercial banks were impacted by the COVID-19 pandemic. Financial intermediation theory, Capital buffer theory, and Financial Instability Hypothesis anchored the study. The research design embraced was non-experimental, while the financial stability proxy was Z-score. The study’s target population was 19 commercial banks in Kenya between the years 2015 and 2022, which had complete data on all the study variables. Annual bank-level data was obtained from Kenya`s Central Bank`s annual supervision reports from 2015-2022. Event study methodology was used while collecting data whereby, the event window was 2020-2021, the period before the event (COVID-19) was 2015-2019, and the period after the event was 2022. The study espoused a panel vector autoregression model in data analysis where the impulse response functions were generated. The researcher discovered that the COVID-19 pandemic adversely impacted Z-score and capital adequacy. Based on the research findings, the Government of Kenya ought to institute non-disruptive pandemic control measures such as proper hygiene and wearing of masks as opposed to quarantines and lockdowns, which are detrimental to commercial banks' operations and other businesses, ultimately leading to a decline in income for commercial banks. Moreover, since capital acts as a shock absorber for banks, Kenyan commercial banks should strive to achieve and maintain the minimum capital adequacy ratios set by the Central Bank of Kenya. This will ensure that commercial banks in Kenya cushion themselves against economic shocks generated by pandemics such as COVID-19.

 

JEL: E44, E58, G01, G21, G28, G32

 

Article visualizations:

Hit counter


Keywords


COVID-19, commercial banks, financial stability, panel vector autoregression

Full Text:

PDF

References


Abrigo, M. R. M., & Love, I. (2016). Estimation of panel vector autoregression in Stata. The Stata Journal, 16(3), 778-804. Retrieved from https://journals.sagepub.com/doi/pdf/10.1177/1536867X1601600314

Azarova, Valeriya and Mier, Mathias, MSR Under Exogenous Shock: The Case of COVID-19 Pandemic (November 3, 2020). ifo Working Paper No. 338 (2020), Retrieved from https://ssrn.com/abstract=3724330 or http://dx.doi.org/10.2139/ssrn.3724330

Azarova, Valeriya and Mier, Mathias, MSR Under Exogenous Shock: The Case of COVID-19 Pandemic (November 3, 2020). ifo Working Paper No. 338 (2020), Retrieved from SSRN: https://ssrn.com/abstract=3724330 or http://dx.doi.org/10.2139/ssrn.3724330

Baker, S. R., Bloom, N., Davis, S. J., Kost, K. J., Sammon, M.C., & Viratyosin, T. (2020). The unprecedented stock market impact of COVID-19. National Bureau of Economic Research, (2), pp. 133-146. Retrieved from https://www.nber.org/papers/w26945

Beck, T., (2020). Finance in the times of coronavirus. In Baldwin, R. and di Mauro, B.W. (Eds.). Economics in the Time of COVID-19. Centre for Economic Policy Research, London. Retrieved from https://voxeu.org/system/files/epublication/COVID-19.pdf. Accessed 7 July. 2020.

Boyd, John, and David Runkle (1993). Size and Performance of Banking Firms: Testing the Predictions of Theory, Journal of Monetary Economics 31: 47–67. Retrieved from https://experts.umn.edu/en/publications/size-and-performance-of-banking-firms-testing-the-predictions-of-

Brunnermeier M., Krishnamurthy A. (2021). Covid19 SME Evergreening Proposal: Inverted Economics, Retrieved from https://gsb-faculty.stanford.edu/arvind-krishnamurthy/files/2022/04/covidsmeevergreeningmemo.pdf

Calem, S. P., & Rob, R. (1996). The impact of capital-based regulation on bank risk-taking: a dynamic model. Finance and economics, 96(20), 67-78. Retrieved from https://www.federalreserve.gov/econres/feds/the-impact-of-capital-based-regulation-on-bank-risk-taking-a-dynamic-model.htm

Cecchetti, S.G., Schoenholtz, K.L. (2020). Contagion: Bank runs and COVID-19. In Baldwin, R. and di Mauro, B.W. (Eds.). Economics in the Time of COVID-19. Centre for Economic Policy Research, London. Retrieved from https://voxeu.org/system/files/epublication/COVID-19.pdf. Accessed 30 May. 2020

Colak, G., & Öztekin, Ö. (2021). The impact of the COVID-19 pandemic on bank lending around the world. Journal of Banking & Finance, 133, [106207].

https://doi.org/10.1016/j.jbankfin.2021.106207

Cuesta, J., & Pico, J. (2020). The gendered poverty effects of the COVID-19 pandemic in Colombia. The European Journal of Development Research, 32(5), 1558–1591. Retrieved from https://link.springer.com/article/10.1057/s41287-020-00328-2

Diamond, D. W. (1984). Financial intermediation and delegated monitoring. The Review of Economic Studies, 51(3), 393. doi:10.2307/2297430, Retrieved from https://academic.oup.com/restud/article-abstract/51/3/393/1545858

Elnahass, Marwa, Vu Quang Trinh, and Teng Li72 (2021). Global Banking Stability in the Shadow of COVID-19 Outbreak. Journal of International Financial Markets, Institutions and Money: 101322. https://doi.org/10.1016/j.intfin.2021.101322

Ferguson N.M., Laydon D., Nedjati-Gilani G., Imai N., Ainslie K., Baguelin M., Bhatia S., Boonyasiri A., Cucunubá Z., Cuomo-Dannenburg G., Dighe A. (2020). Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand. Imperial College COVID-19 Response Team, London, March, 16.

https://www.imperial.ac.uk/media/imperial-college/medicine/sph/ide/gida-fellowships/Imperial-College-COVID19-NPI-modelling-16-03-2020.pdf

Fong, M. W., Gao, H., Wong, J. Y., Xiao, J., Shiu, E. Y. C., Ryu, S., & Cowling, B. J. (2020). Nonpharmaceutical Measures for Pandemic Influenza in Nonhealthcare Settings—Social Distancing Measures. 26(5), 976–984. https://doi.org/10.3201/eid2605.190995

Garita, G. (2011). The reciprocal relationship between systemic risk and real economic activity. MPRA Paper, 1–28. Retrieved from https://mpra.ub.uni-muenchen.de/33135/1/Reciprocal_Relationship_Between_Systemic_Risk_and_Real_Economic_Activity_Sept_2_2011_.pdf

International Monetary Fund (2020) Annual Report. A year like no other. https://www.imf.org/external/pubs/ft/ar/2020/eng/. Accessed 1st February 2021.

International Monetary Fund. (2021). World economic outlook update, January 2021: Policy Support and vaccines expected to lift activity. https://www.imf.org/en/Publications/WEO/Issues/2021/01/26/2021worldeconomicoutlookupdate#:~:text=The%20global%20growth%20contraction%20for,the%20second%20half%20of%202020. Accessed 1st February 2021

Kenya National Bureau of Statistics, Nairobi, Kenya. (2021). Economic survey 2021. https://www.knbs.or.ke/wp-content/uploads/2021/09/Economic-Survey-2021.pdf. Accessed 4th February, 2023

Laeven, L., Schepens, G., & Schnabel, I. (2020). Zombification in Europe in times of pandemic (No. 011). ECONtribute Policy Brief. Retrieved from https://cepr.org/voxeu/columns/zombification-europe-times-pandemic#:~:text=Large%2Dscale%20government%20and%20central,unviable%20firms%20are%20kept%20alive.

Ministry of Health. (2020). First Case of Coronavirus Disease Confirmed in Kenya – Ministry of Health. health.go.ke. https://www.health.go.ke/first-case-of- coronavirus-disease-confirmed-in-kenya/.

Ministry of Health. (2020). First Case of Coronavirus Disease Confirmed in Kenya – Ministry of Health. Health.go.ke. https://www.health.go.ke/first-case-of-coronavirus-disease-confirmed-in-kenya/

Minsky, Hyman (1992). The Financial Instability Hypothesis. The Jerome Levy Economics Institute Working Paper No. 74. Retrieved from https://www.levyinstitute.org/publications/the-financial-instability-hypothesis#:~:text=The%20FIH%20is%20a%20model,are%20designed%20to%20keep%20the

Neil M Ferguson, Daniel Laydon, Gemma Nedjati-Gilani et al. (2020). Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand. Imperial College London (16-03-2020), doi: https://doi.org/10.25561/77482.

Sunarsih & Rizqi Umar Al Hashfi & Uâ€TMum Munawaroh & Endang Suhari (2022). Nexus of risk and stability in Islamic banks during the pandemic. Journal of Islamic Monetary Economics and Finance. https://ideas.repec.org/a/idn/jimfjn/v8y2022i4fp599-614.html

United Nations Conference on Trade and Development (2021) UNCTAD Handbook of Statistics 2020, UN iLibrary. Available at: https://doi.org/10.18356/9789210053549 (Accessed: 26 April 2024).

Vidovic, L., & Tamminaina, P. (2020). The outlook for corporate credit risk: COVID-19 pandemic and macroeconomic. S&P Global, 6(7), 58-62.

World Bank. (2022). Event Study-Dimewiki. https://dimewiki.worldbank.org/Event_Study#:~:text=An%20event%20study%20is%20a,event%20to%20evaluate%20its%20impact

World Health Organization. (2020). Timeline: Who's COVID-19 response. World Health Organization. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/interactive-timeline. Accessed 1st February 2021

Worldometre. (2022). Coronaviruscases: Worldometer. https://www.worldometers.info/coronavirus/#countries. Accessed 31st December 2022

Zaremba, A., Kizys, R., Aharon, D. Y., and Demir, E. (2020). Infected markets: novel coronavirus, government interventions, and stock return volatility around the globe. Financ. Res. Lett. 35:101597. doi: 10.1016/j.frl.2020.101597. Retrieved from https://pubmed.ncbi.nlm.nih.gov/32550842/




DOI: http://dx.doi.org/10.46827/ejefr.v8i2.1714

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Noah Muthondu Mathenge, Joseph Muniu

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

The research works published in this journal are free to be accessed. They can be shared (copied and redistributed in any medium or format) and\or adapted (remixed, transformed, and built upon the material for any purpose, commercially and\or not commercially) under the following terms: attribution (appropriate credit must be given indicating original authors, research work name and publication name mentioning if changes were made) and without adding additional restrictions (without restricting others from doing anything the actual license permits). Authors retain the full copyright of their published research works and cannot revoke these freedoms as long as the license terms are followed.

Copyright © 2016 - 2023. European Journal of Economic and Financial Research (ISSN 2501-9430) is a registered trademark of Open Access Publishing GroupAll rights reserved.

This journal is a serial publication uniquely identified by an International Standard Serial Number (ISSN) serial number certificate issued by Romanian National Library. All the research works are uniquely identified by a CrossRef DOI digital object identifier supplied by indexing and repository platforms. All the research works published on this journal are meeting the Open Access Publishing requirements and standards formulated by Budapest Open Access Initiative (2002), the Bethesda Statement on Open Access Publishing (2003) and  Berlin Declaration on Open Access to Knowledge in the Sciences and Humanities (2003) and can be freely accessed, shared, modified, distributed and used in educational, commercial and non-commercial purposes under a Creative Commons Attribution 4.0 International License. Copyrights of the published research works are retained by authors.