Mapping Hybrid and Ensemble Models for Financial Volatility Forecasting: A Bibliometric and LLM-Assisted Review
Financial volatility forecasting has undergone a rapid methodological transition from parametric econometric models towards machine and deep learning, hybrid architectures, and ensemble techniques. Despite this expansion, the literature lacks a synthesis combining bibliometric mapping with a granular methodological tax...