EVALUATING ML MODELS IN MODERN PORTFOLIO DIVERSIFICATION – A THEORETICAL EMPIRICAL APPROACH
Title: EVALUATING ML MODELS IN MODERN PORTFOLIO DIVERSIFICATION – A THEORETICAL EMPIRICAL APPROACH Author:Chibli Mayada Abstract:The integration of machine learning (ML) into portfolio diversification has emerged as a transformative approach to address the limitations of classical financial frameworks. This study evaluates the efficacy of ML models, such as Gradient Boosted Decision Trees (GBDTs) and Long … Read more