Benchmarking deep reinforcement learning and classical models for portfolio optimization across market efficiency regimes
A key puzzle in finance is why algorithmic traders with advanced neural models sometimes fail to beat simple traditional strategies, while in other cases they clearly outperform them. This study argues that such variation depends on how information is reflected in market prices. When markets are highly efficient, price...