LSTM-Based Hybrid Approach to Forecasting S&P 500 Volatility
Analysis
This research explores a hybrid approach leveraging LSTM networks for forecasting the volatility of the S&P 500 index. The focus on a specific financial instrument and the use of a hybrid model suggests a practical application of AI in finance.
Key Takeaways
- •Applies LSTM networks to model and forecast financial market volatility.
- •Employs a hybrid modeling approach.
- •Focuses on the S&P 500 index, indicating a market-specific application.
Reference
“The paper uses LSTM Networks for Volatility Forecasting.”