A Comparative Forecasting Framework for Weekly VIX Prediction Based on Statistical and Machine Learning Models with Bayesian Optimization
A comparative forecasting framework for weekly VIX prediction by integrating statistical and machine learning models with Bayesian optimization for hyperparameter tuning is proposed and indicates that persistence-based statistical models outperform more complex machine learning models under the fixed holdout evaluation...