Forecast the role of GCC financial stress on oil market and GCC financial markets using convolutional neural networks

DOI10.1007/s10690-022-09387-3OpenAlexW4304893023MaRDI QIDQ6131009

Mouna Boujelbène Abbes, Taicir Mezghani

Publication date: 3 April 2024

Published in: Asia-Pacific Financial Markets (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10690-022-09387-3

zbMATH Keywords

oil shocks1D-CNN approach and portfolio optimizationCovid-19 crisisGCC financial stressGCC stock-bond market returns

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Financial markets (91G15)

Cites Work

• Forecasting the crude oil prices based on econophysics and Bayesian approach
• Forecasting Stock Market Volatility with Regime-Switching GARCH Models
• Evaluating Volatility and Correlation Forecasts
• A neural network approach to understanding implied volatility movements

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