AI Learns Which Market Signals to Trust
Chinese Academy of Sciences
A new study presents a neural-network method for building efficient portfolios while keeping the allocation process interpretable. Instead of treating asset correlations as a black box, the model learns how to clean noisy collective market patterns and respects the symmetries of covariance matrices.