A multi-factor carbon price prediction method MEEMD-LSTM is proposed based on traditional Long Short-term Memory (LSTM) neural network. Multi-factor used in carbon price prediction method included the historical carbon price and other factors which affect carbon price fluctuation. The change...

This paper proposes two dimension-reduction and forecasting quantile methods (i.e., the quantile group lasso and the quantile group SCAD models) to predict carbon futures returns and investigate the predictability of a comprehensive group of factors including market fundamental variables and...