References

• 2019Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series528 cited
• 2020A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series493 cited
• 2018Text-based crude oil price forecasting: A deep learning approach305 cited
• 2020A hybrid stock price index forecasting model based on variational mode decomposition and LSTM network191 cited
• 2020A hybrid framework for carbon trading price forecasting: The role of multiple influence factor183 cited
• 2020A novel text-based framework for forecasting agricultural futures using massive online news headlines179 cited
• 2017Seasonal forecasting of agricultural commodity price using a hybrid STL and ELM method: Evidence from the vegetable market in China174 cited
• 2021Forecasting the U.S. oil markets based on social media information during the COVID-19 pandemic120 cited
• 2019Artificial bee colony-based combination approach to forecasting agricultural commodity prices94 cited
• 2019Forecasting Realized Volatility of Agricultural Commodity Futures with Infinite Hidden Markov HAR Models84 cited
• 2021Crude oil price forecasting incorporating news text84 cited
• 2018A combined neural network model for commodity price forecasting with SSA79 cited
• 2016Realized volatility forecasting of agricultural commodity futures using the HAR model with time-varying sparsity