التنبؤ بأسعار الإغلاق للأسهم باستخدام الشبكات العصبية لعينة من المصارف الإسلامية العراقية

Abstract EN

The Research Aims to build models to forecast closing prices to sample of Islamic banks listed on the Iraq Stock Exchange using Artificial neural network, The sample of the research is consisted of (3) banks listed in banking sector, while the dataset was the monthly indexes released by the ISX for the period from (January/2018) to (December/2019), The ANN had been executed and models building by Matlab 2014b software, The models are (3) that are measured by Means Errors Measures as well as R2, The research showed the ability and efficiency of Artificial neural network (MLP) to forecast closing prices for the research sample by 99% accuracy, thus validated the research hypothesis.