Improving Gold Price Prediction Accuracy Through Variational Mode Decomposition and Bayesian-Tuned Hybrid BiLSTM-BiGRU Model

Due to the highly dynamic and unpredictable nature of the global economy, it is very difficult to make successful predictions of gold prices. Traditional approaches for forecasting price movements will frequently fail due to the complexity of the relationships among the variables driving the gold pr...

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Autors principals:	Priya Singh, Akanksha Sharma
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2026-01-01
Col·lecció:	IEEE Access
Matèries:	Gold price prediction BiLSTM BiGRU variational mode decomposition Granger causality test Holm-Bonferroni post-hoc test
Accés en línia:	https://ieeexplore.ieee.org/document/11480442/
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