References

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• 2021The effects and reacts of COVID-19 pandemic and international oil price on energy, economy, and environment in China171 cited
• 2020A novel hybrid model for forecasting crude oil price based on time series decomposition137 cited
• 2018Interval decomposition ensemble approach for crude oil price forecasting120 cited
• 2022Forecasting crude oil market volatility using variable selection and common factor113 cited
• 2022Forecasting crude oil futures prices using BiLSTM-Attention-CNN model with Wavelet transform99 cited
• 2021Predicting stock market volatility based on textual sentiment: A nonlinear analysis88 cited
• 2021Crude oil price forecasting incorporating news text84 cited
• 2020Crude oil price analysis and forecasting: A perspective of “new triangle”82 cited
• 2017Forecasting Crude Oil Prices: A Comparison Between Artificial Neural Networks and Vector Autoregressive Models81 cited
• 2012Investigating the price discovery and risk transfer functions in the crude oil and gasoline futures markets: Some empirical evidence73 cited
• 2021Volatility forecasting of crude oil futures based on a genetic algorithm regularization online extreme learning machine with a forgetting factor: The role of news during the COVID-19 pandemic69 cited
• 2022Renewable energy stocks forecast using Twitter investor sentiment and deep learning