Volatility Forecasting Through Hybrid GARCHLSTM Models With WalkForward Validation and Multi-Horizon Evaluation

AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-10-05T16:33:53Z
Fecha de publicación2026-01-01
ResumenThis chapter, per the authors, examines volatility forecasting through a hybrid GARCH-LSTM framework designed to improve prediction accuracy under a rigorous and reproducible evaluation scheme. The purpose of this chapter is to assess whether combining the econometric structure of GARCH with the nonlinear sequence-learning capacity of LSTM enhances forecasting performance relative to a standard GARCH benchmark. The content includes the theoretical foundations of financial volatility, a review of hybrid forecasting literature, the construction of daily return-based volatility measures, the specification of the proposed model, and an empirical evaluation using S&P 500, EUR/USD, and Bitcoin data. Results from walk-forward and multi-horizon validation show that the hybrid model delivers more accurate short-term forecasts and remains competitive across different asset classes.es_ES
Doihttps://doi.org/10.4018/979-8-3373-8372-9.ch010es_ES
ISBN979-833738374-3; 979-833738372-9es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/5626
Idiomaenes_ES
EditorialIGI Globales_ES
RelaciónQuantitative Finance Programming: Models, Methods, and Business Applicationses_ES
URL relacionadohttps://doi.org/10.4018/979-8-3373-8372-9.ch010es_ES
DerechosAcceso restringido / Suscripción (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_16eces_ES
FuenteQuantitative Finance Programming: Models, Methods, and Business Applications
TítuloVolatility Forecasting Through Hybrid GARCHLSTM Models With WalkForward Validation and Multi-Horizon Evaluationes_ES
TipoCapítulo Libroes_ES
ArbitradoHa sido Arbitradoes_ES
AutorLerma-Sanchez, Angel Mario
AutorGonzález-González, Felipe A.
AutorTorres-Mata, Joaquin
AutorLerma-Sanchez, Angel Marioes_ES
AutorGonzález-González, Felipe A.es_ES
AutorTorres-Mata, Joaquines_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Rango de páginas339-394es_ES
URL relacionadahttps://doi.org/10.4018/979-8-3373-8372-9.ch010
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES

Files