Regime-dependent bitcoin volatility forecasting under alternative information sets: evidence from econometric, deep learning, and hybrid models
Bitcoin volatility is challenging to forecast because accuracy depends on model choice, information sets, and market regimes. Existing studies often compare models under inconsistent volatility targets, predictors, samples, or evaluation designs, leaving unclear whether forecast gains arise from model architecture, inf...