Tag: Sharpe ratio

A study of seven UK-listed impact companies from 2017 to 2022 found higher risk-adjusted returns and lower market beta than ...

A deep reinforcement learning framework called AlphaZeroBeta achieved an average out-of-sample Sharpe ratio of 1.25 across seven global equity indices ...

The DAC-CPPO reinforcement learning model reported a 1.91 Sharpe ratio and 0.14 volatility, outperforming comparison models in the study’s portfolio ...

A double deep Q-network combining news and social-media sentiment with price, volume and momentum signals outperformed four machine-learning approaches in ...

Researchers have fused an improved particle swarm optimization algorithm with simulated annealing to build a hybrid portfolio optimization model that ...

Researchers have built a dual-agent deep reinforcement learning framework that classifies market strength using classic technical indicators and dynamically selects ...

A new study shows that large language models can dynamically reallocate portfolio risk across 55 U.S. equities, delivering a 46.4% ...

Researchers in India have built a reinforcement learning day-trading agent that combines CNNs, attention-based LSTMs, and explainable AI to outperform ...

Researchers have developed a deep reinforcement learning framework that continuously adapts its market forecasts, achieving an average cumulative return of ...