Behavior-Aware Machine Learning Models for Real-Time Personalized Financial Advisory and Portfolio Optimization
Traditional robo-advisory systems are based on static risk profiling and rule-based allocation strategies that do not change according to changing market conditions and changing preferences of the investors, resulting in sub-optimal risk-adjusted performance. This study proposes a behavior-aware personalized portfolio...