Tut, Daniel (2020): FinTech and the COVID-19 Pandemic: Evidence from Electronic Payment Systems.
This is the latest version of this item.
Preview |
PDF
MPRA_paper_102401.pdf Download (2MB) | Preview |
Preview |
PDF
MPRA_paper_107074.pdf Download (1MB) | Preview |
Abstract
This paper investigates the effects of the Covid-19 pandemic on financial institutions and consumers’ adoption of FinTech in payments. We find [1] The covid-19 pandemic has accelerated the adoption of FinTech platforms in payments. We document an approximate increase of 54% in mobile banking transactions, an increase of 19.56% in Mobile agents and an increase of 14.56% in Mobile banking accounts [2] The use of all electronic payment cards has significantly declined during the pandemic. [3] The pandemic has magnified interbank contagion and liquidity risks and has reduced both domestic and international electronic fund transfers via both the Real-Gross Settlement system (RTGS) and via Clearing house (ACH).Overall, our results shows that FinTech not only alleviated the negative impact of theCovid-19 pandemic during Q1 but that the pandemic has also accelerated consumers’ adoption of FinTech platforms and digital onboarding specially in Q3 and Q4.
Item Type: | MPRA Paper |
---|---|
Original Title: | FinTech and the COVID-19 Pandemic: Evidence from Electronic Payment Systems |
English Title: | FinTech and the COVID-19 Pandemic: Evidence from Electronic Payment Systems |
Language: | English |
Keywords: | Covid-19, Coronavirus, Fintech, Mobile Payment, Central Banks, Financial Intermediaries, Financial Technologies, Banks, Interbank transfers, Diaspora Remittances, Settlement and Liquidity risks, clearing houses, financial stability, Pandemic, M-PESA, Digital Banking. |
Subjects: | E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations ; Cycles E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E52 - Monetary Policy E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E58 - Central Banks and Their Policies |
Item ID: | 107074 |
Depositing User: | Dr. Daniel Tut |
Date Deposited: | 10 Apr 2021 04:25 |
Last Modified: | 18 Nov 2024 16:18 |
References: | Aditya, A., S. Aron-Dine, W. Dunn, L. Feiverson, P. Lengermann and C. Sahm (2019). From transaction data to economic statistics: constructing real-time, high-frequency, geographical measures of consumers spending. Finance and Economics Discussion Series 2019-057. Board of Governors of the Federal Reserve. Aker, J., and I. Mbiti (2010). Mobile Phones and Economic Development in Africa, Journal of Economic Perspectives, 24(3), 207-232 Allen, F. and D. Gale (2000). Financial Contagion. Journal of Political Economy, 108(1), 1-33 Aprigliano, A., Ardizzi G., and L. Monterforte (2019). Using payment system data to forecast the Italian GDP. International Journal of Central Banking. v. 15, p. 55-80. Bae, K., Karolyi G. and R.M Stulz (2003). A new approach to measuring financial contagion. The Review of Financial Studies, 16, 717-76 Baker, Scott (2018). Debt and the response to household income shocks: validation and application of linked financial account data. Journal of Political Economy, 126(4):26 1504-1557 Bhagwati, J., (1998).The Capital Myth,Foreign Affairs, 77(3), 7–12. Bech, M.L, Shimizu, Y. and P. Wong (2017). The quest for speed in payments, BIS Quaterly Review Borio, C. and P Van den Bergh (1993). The nature and management of payment system risk: an international perspective, BIS Economic Papers, no. 36. Cabrales, A., D. Gale and P. Gattardi (2016). Financial contagion in networks. Oxford handbook of the Economics of Networks, edited by Y. Bramoulle, A. Galeotti and Brian Rogers, 543-68. Oxford and New York: Oxford University Press. Carlsen, M. and Storgaard, P.E. (2010). Dankort payments as a timely indicator of retail sales in Denmark. Technical report Central Bank of Kenya (2020) Implementation of the emergency measures to mitigate the adeverse impact of the Corona virus (Covid-19) pandemic on loans and advances- Banking Circular No. 3 of 2020. Central Bank of Ireland (2020), The potential economic impact of Covid-19 pandemic based on baseline and severe scenarios. Quarterly Bulletin No. 3/QB3- July 2020 Central Bank of Kenya(2020). Emergency measures to facilitate mobile money trans- actions. Press Release, March 2020. Central Bank of Kenya(2020). Key monetary and financial indicators- CBK, weekly Bulletin, 2020. Central Bank of Kenya(2020). Monetary policy committee meeting, CBK, March-23- 2020. Cytonn Report (2020) Cytonn note on the monetary policy committee (MPC) meeting- July, 2020. Crockett, A. (1998), Managing change in payment systems, BIS policy papers no.4. Crowe, M. Tabila E. and B. Mcguire (2017) Mobile banking and payment practices of US financial institutions: 2016 Mobile financial Services survey results in Seven Federal Reserve Districts. Federal Reserve Bulletin of Boston, December, p.14 Degryse, H. and G. Nguyenn (2007). Interbank exposures: An empirical examination of contagion risk in the Belgian Banking System. Internationa Journal of Central Banking 3(2): 123-71 Demirgu ̈ ̧c-Kunt, A., L. Klapper, D. Singer, S. Ansar and J.R. Hess (2018).The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution, World Bank, Washington D.C., Diamond, D. and P. Dybvig (1983). Bank runs, deposit insurance and liquidity. Jour- nal of Political Economy, 91, 401-19. Esteves, P.S (2007) Are ATMs/POS Data relevnat when forecasting Private Consumption. Technical Report. Furfine, C. Interbank Exposures: Quantifying the risk of Contagion. Journal of Money, Credit and Banking, 35, 2003. Frost, Gambacorta and Gambacorta (2020). The Matthew effect and modern finance: on the nexus between wealth and inequality, financial development anf financial tech- nology. Working Paper No. 871 FSB (2016) Fintech: Describing the landscape and a framework for analysis, March; and FSB(2017a). Galbraith, J. and G. Tkacz (2007). Electronic transactions as high-frequency indicators of economic activity. Bank of Canada, Staff Working paper. Gambacorta, L. and H. Shin (2018). Why bank capital matters for monetary policy. Journal of Financial Intermediation, v.35, pp. 17-29 Galbraith, J. and G. Tkacz (2015). Nowcasting GDP with electronic payment data. ECB Statistics paper Series. Galbraith, J. and Tkacz (2009). A note on monitoring dail economic activity via electronic transaction data. CIRANO Working Papers 2009-23 Hopkins, A. and M. Sherman (2020). How has the Covid-19 pandemic affected daily spending patterns. Central bank of Ireland, QB2 Jack, W. and T. Suri (2014). Risk Sharing and Transactions Costs: Evidence from Kenya’s Mobile Money Revolution. American Economic Review 104 (1): pp. 183-223 Jack, W., and T. Suri (2011), The Economics of M-PESA, NBER Working Paper. Jack, W., T. Suri and R. Townsend (2010), Monetary Theory and Electronic Money: Lessons from the Kenyan Experience, Economic Quarterly, 96(1), First Quarter. Jagannathan, M., Stephen, C. and M. Weisbach (2000). Financial Flexibility and The Choice Between Dividends and Stock Repurchases. Journal of Financial Economics,57, 355-384. Reprinted in Recent Developments in Corporate Finance, edited by Jay Ritter, Edward Elgar publishing, 2005. Kaminsky, G. L., and C. Reinhart (2000). On Crises, Contagion and Confusion, Jour- nal of International Economics, 51, 145–168. Mas, Ignacio, and Olga Morawczynski (2009). Designing Mobile Money Services: Lessons from M-PESA,Innovations, 4(2), 77-92, MIT Press Muller, J. (2003). Two approaches to assess contagion in the interbank market. Swiss national Bank (Decemeber) Philippon, T. (2016). The FinTech Opportunity, NBER Working Paper, 22476, August. Rao, Madanmohan (2011). Mobile Africa Report 2011: Regional Hubs of Excellence and Innovation. Rysman, M. and Schuh, S. (2017). New innovations in payments.NBER Innovation Policy and the Economy, 17(1), 27-48. Van Lelyveld I. and Lierdorp, F.R (2004). Interbank Contagion in the Dutch Sector. A Sensitive Analysis Wells, S.J. (2004). Financial interlinkages in the United Kingdon’s Interbank market and the risk of contagion. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/107074 |
Available Versions of this Item
-
FinTech and the COVID-19 Pandemic: Evidence from Electronic Payment Systems. (deposited 14 Aug 2020 13:55)
- FinTech and the COVID-19 Pandemic: Evidence from Electronic Payment Systems. (deposited 10 Apr 2021 04:26)
- FinTech and the COVID-19 Pandemic: Evidence from Electronic Payment Systems. (deposited 10 Apr 2021 04:25) [Currently Displayed]