Factors Affecting Portfolios Created With Islamic And Traditional Perspective In Borsa İstanbul: Artifıcial Intelligence Supported Hybrid Model Proposal

This research employs a hybrid artificial intelligence model to attempt to identify the elements influencing the portfolios constructed from the conventional and Islamic viewpoints. By applying the Fama French Five-Factor regression model combined with variables based on accounting and market, it is possible to identify potential differences in the factors influencing the portfolios developed from both a conventional and Islamic perspective. Furthermore, it is found that the effective gene parameters in the portfolios built from various viewpoints differed dependent on the evaluation performed using the hybrid model based on Artificial Neural Networks and developed through the use of Genetic Algorithm optimization. Additionally, it is found that, when combined with the other two models, the hybrid model, which is based on artificial neural networks and produced by genetic algorithm optimization, produces results that are more accurate. As a consequence, it becomes apparent to observe behavioral differences between the portfolios made using the traditional and Islamic perspectives.