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All Journal Journal of Islamic Monetary Economics and Finance
EL Hachloufi Mostafa
University Hassan II of Casablanca, Morocco
Economics, Econometrics & Finance

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RETAKAFUL CONTRIBUTIONS MODEL USING MACHINE LEARNING TECHNIQUES Kouach Yassine; EL Attar Abderrahim; EL Hachloufi Mostafa
Journal of Islamic Monetary Economics and Finance Vol 9 No 3 (2023)
Publisher : Bank Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21098/jimf.v9i3.1681

Abstract

Driven by the need to manage risk by the newly created Moroccan Takaful operators, the Moroccan Insurance and Social Welfare Control Authority has authorized the Central Reinsurance Company to create a ReTakaful window for the purpose of reinsuring Takaful operations. Nevertheless, the main challenge is determining the appropriate ReTakaful model for the Moroccan Islamic insurance sector by ensuring compliance with Shariah. With this in mind, this article aims to determine the optimal ReTakaful contributions model for the Moroccan Takaful industry via Machine Learning algorithms. We select the best model by comparing the performance of each algorithm. The achieved results of this study demonstrate the potential of using Machine Learning algorithms to compute ReTakaful contributions that are more suitable for Takaful operators and more optimal for the ReTakaful operator.
Co-Authors EL Attar Abderrahim Kouach Yassine