This study proposes a new VMD-ICEEMDAN-LSTM model, that combines secondary decomposition with long short-term memory neural networks (LSTM) to forecast realized volatility (RV) of Chinese crude oil futures. First, RV sequence is decomposed into sub-components and residuals using variational mode...