Title: Artificial intelligence applied to African stock market

Authors: Karim Amzile

Addresses: Faculty of Law, Economic and Social Sciences (FSJES) – Agdal, Mohammed V University in Rabat, Morocco

Abstract: In this study, we attempted to develop an artificial intelligence (AI)-based algorithm that could forecast stock market index values. To explore the behaviour of the AI-derived approaches in economic issues, this research is based on data from stock market indexes of several African nations, to which we used the artificial neural network method. In order to do this, we utilised the data mining techniques procedure, which entails a number of processes, from data preparation and cleaning through model testing utilising test data that does not account for more than 25% of the total data. As a consequence, we were able to create reliable models with accuracy levels that exceeded 94% for forecasting the price of stock indexes. However, these findings suggest that we may improve our ability to model economic issues by using AI approaches.

Keywords: stock market; artificial neural networks; ANNs; artificial intelligence; data mining; Fintech; Africa.

DOI: 10.1504/IJMP.2024.139678

International Journal of Management Practice, 2024 Vol.17 No.4, pp.463 - 477

Received: 30 Nov 2022
Accepted: 19 Jul 2023
Published online: 05 Jul 2024 *

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