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Consequences of COVID-19 on Banking Sector Index: Artificial Neural Network Model

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  • Hamzeh F. Assous

    (Department of Finance, School of Business, King Faisal University, Alahsa 31982, Saudi Arabia)

  • Dania Al-Najjar

    (Department of Finance, School of Business, King Faisal University, Alahsa 31982, Saudi Arabia)

Abstract

The World Health Organization officially declared COVID-19 a global pandemic on 11 March 2020. In this study, we examine the effect of COVID-19 indicators and policy response on the Saudi banking index. COVID-19 variables that were applied are: new confirmed and fatal COVID-19 cases in Saudi Arabia; lockdowns; first and second decreases in interest rates; regulations, and oil prices. We implemented the analysis by running a stepwise regression analysis then building an artificial neural network (ANN) model. According to regression findings, oil prices and new confirmed cases have had a significant positive effect on the Saudi banking index. Nevertheless, the lockdown announcements in Saudi Arabia and the first decrease in interest rates had a significant negative effect on the Saudi banking index. To enhance the performance of the linear regression model, the ANN model was built. Findings showed that the ranking of the variables in terms of their importance is: oil price, number of confirmed cases, lockdown announcements, decrease in interest rates, and lastly, regulations.

Suggested Citation

  • Hamzeh F. Assous & Dania Al-Najjar, 2021. "Consequences of COVID-19 on Banking Sector Index: Artificial Neural Network Model," IJFS, MDPI, vol. 9(4), pages 1-16, December.
  • Handle: RePEc:gam:jijfss:v:9:y:2021:i:4:p:67-:d:694664
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    Cited by:

    1. Akila Rubaiyath & Raad Mozib Lalon, 2022. "Investigating the Impact of Bank-specific Determinants on Stock Price of Listed Commercial Banks: Evidence from Emerging Economy," International Journal of Economics and Financial Issues, Econjournals, vol. 13(4), pages 134-142, July.
    2. Md. Abu Issa Gazi & Md. Nahiduzzaman & Iman Harymawan & Abdullah Al Masud & Bablu Kumar Dhar, 2022. "Impact of COVID-19 on Financial Performance and Profitability of Banking Sector in Special Reference to Private Commercial Banks: Empirical Evidence from Bangladesh," Sustainability, MDPI, vol. 14(10), pages 1-23, May.
    3. M. Luthfi Hamidi & Khondker Mohammad Zobair & Abdul Aziz Nugraha Pratama, 2024. "The role of spirituality dimension in the sustainability of Islamic banking: a combined structural equation modeling and artificial neural network approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(8), pages 21567-21593, August.

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