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Forecasting Commodity Market Returns Volatility: A Hybrid Ensemble Learning GARCH‐LSTM based Approach
Research article (Intelligent systems in accounting, finance and management/Intelligent systems in accounting, finance & management, 2022) · cited 24× · AI/ML
Forecasting Commodity Market Returns Volatility: A Hybrid Ensemble Learning GARCH‐LSTM based Approach
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Forecasting Commodity Market Returns Volatility: A Hybrid Ensemble Learning GARCH‐LSTM based Approach is a scholarly article[1].
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Forecasting Commodity Market Returns Volatility: A Hybrid Ensemble Learning GARCH‐LSTM based Approach's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Forecasting Commodity Market Returns Volatility: A Hybrid Ensemble Learning GARCH‐LSTM based Approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/forecasting-commodity-market-returns-volatility-a-hybrid-ensemble-learning-garchlstm-based-approach
MLA“Forecasting Commodity Market Returns Volatility: A Hybrid Ensemble Learning GARCH‐LSTM based Approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/forecasting-commodity-market-returns-volatility-a-hybrid-ensemble-learning-garchlstm-based-approach.
BibTeX@misc{4ortxyz_forecasting-commodity-market-returns-volatility-a-hybrid-ensemble-learning-garchlstm-based-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Forecasting Commodity Market Returns Volatility: A Hybrid Ensemble Learning GARCH‐LSTM based Approach}}, year = {2026}, url = {https://4ort.xyz/entity/forecasting-commodity-market-returns-volatility-a-hybrid-ensemble-learning-garchlstm-based-approach}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Forecasting Commodity Market Returns Volatility: A Hybrid Ensemble Learning GARCH‐LSTM based Approach — https://4ort.xyz/entity/forecasting-commodity-market-returns-volatility-a-hybrid-ensemble-learning-garchlstm-based-approach (retrieved 2026-05-24)