Shiv Rajendra Patel
Computer science
Hometown: Tempe, Arizona, United States
Graduation date: Spring 2027
FURI | Spring 2026
AI-Driven Portfolio Optimization Using News Sentiment-Based Volatility Forecasting and Reinforcement Learning
This study evaluates whether financial news sentiment can improve portfolio optimization through volatility forecasting. Results show that integrating sentiment-based signals into a reinforcement learning framework improves risk-adjusted returns and reduces drawdowns compared to traditional models. By incorporating real-time information from news data, this approach enables more adaptive and risk-aware investment decisions. Future work should explore multimodal data sources and test the framework across different market conditions and asset classes.
Mentor: Robert Atkinson
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