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 analyzes a setting in which a manufacturer (he) and a retailer (she) face uncertain demand, but the retailer has an information advantage in the form of a private demand forecast. Such information asymmetry causes the manufacturer to incur a hidden information cost. The results show...