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Artificial intelligence applied to African stock market

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  • Karim Amzile

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.

Suggested Citation

  • Karim Amzile, 2024. "Artificial intelligence applied to African stock market," International Journal of Management Practice, Inderscience Enterprises Ltd, vol. 17(4), pages 463-477.
    • Handle: RePEc:ids:ijmpra:v:17:y:2024:i:4:p:463-477
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