Enhancing Market Risk Prediction: Integrating Deep Learning with GARCH Models for Accurate Value at Risk (VaR) and Expected Shortfall (ES) Forecasting

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Authors

Publication Details

Journal
International Journal of Information and Decision Sciences
Published
2025-11-25
DOI
https://doi.org/10.1504/ijids.2027.10074838
Primary Topic
Financial Risk and Volatility Modeling
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Market Risk Prediction: Integrating Deep Learning with GARCH Models for Accurate Value at Risk (VaR) and Expected Shortfall (ES) Forecasting

Bolaji Tunde Matemilola, Yangfan Cao, Choo Wei Chong
International Journal of Information and Decision Sciences
Financial Risk and Volatility Modeling
article

Enhancing Market Risk Prediction: Integrating Deep Learning with GARCH Models for Accurate Value at Risk (VaR) and Expected Shortfall (ES) Forecasting

Bolaji Tunde Matemilola, Yangfan Cao, Choo Wei Chong
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Information and Decision SciencesVol. 19(3)
Openalex Percentile: Top 55%
Financial Risk and Volatility Modeling
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