This paper proposes an EEMD-Hurst-LSTM prediction method based on the ensemble learning framework, which is applied to the prediction of typical commodities in China's commodity futures market. This method performs ensemble empirical mode decomposition (EEMD) on commodity futures prices, and...

This paper aims to study the correlation structure, key commodity and cluster characteristics of China's commodity markets during the period of the 2020-2021 global commodity price boom via applying Empirical Mode Decomposition (EMD) of commodity futures price indices to obtain high-frequency...