Research Article

Predicting the Profitability of the Stock Market during a Pandemic

Volume: 14 Number: 2 June 30, 2022
Journal of Aksaray University Faculty of Economics and Administrative Sciences Cover
Journal of Aksaray University Faculty of Economics and Administrative Sciences
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Predicting the Profitability of the Stock Market during a Pandemic

Abstract

This paper investigates the impact of the Covid-19 pandemic in predicting the profitability of the stock market of the ten most hit countries at the beginning of the pandemic. The study employed the Artificial Neural Network models for the analysis. Specifically, the Backward Propagation (BP) and Feed-Forward (FF) Neural Network models are used to predict the profitability of the stock market on a daily time frame. Taking Covid-19 into account, the estimation result shows that the Neural Network built is resilient in its ability to forecast the profitability of the stock market in Brazil and China. However, in the case of Germany, Russia, Turkey, and the United States, the Neural Network is partly resilient in its forecasting ability; predicted profitability deviated from the actual profitability in some of the periods. For the remaining countries in the sample, the Artificial Neural Network is found to have a weak prediction power.

Keywords

References

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Details

Primary Language

English

Subjects

Business Administration

Journal Section

Research Article

Authors

Publication Date

June 30, 2022

Submission Date

April 2, 2021

Acceptance Date

April 12, 2022

Published in Issue

Year 1970 Volume: 14 Number: 2

DOI

https://doi.org/10.52791/aksarayiibd.908268

IZ

https://izlik.org/JA28WH86YN

Cite

RIS / Bibtex
APA
Babangida, J. S., Abubakar, A., Mamman, S., & Ben Brahim, F. (2022). Predicting the Profitability of the Stock Market during a Pandemic. Aksaray Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 14(2), 183-190. https://doi.org/10.52791/aksarayiibd.908268