Deep learning in factor investing: an application to Indonesian Islamic and conventional equities
This study aims to examine the efficacy of integrating machine learning (ML) architectures and feature selection protocols within a traditional asset pricing framework to enhance equity return predictability. Leveraging a methodological pipeline that synergizes artificial neural networks (ANN) with sequentia...