  Carbon neutralization is an urgent task in society because of the global
warming threat. And carbon trading is an essential market mechanics to solve
carbon reduction targets. Macro carbon price prediction is vital in the useful
management and decision-making of the carbon market. We focus on the EU carbon
market and we choose oil price, coal price, gas price, and DAX index to be the
four market factors in predicting carbon price, and also we select carbon
emission targets from Paris Accord as the political factor in the carbon market
in terms of the macro view of the carbon price prediction. Thus we use these
five factors as inputs to predict the future carbon yearly price in 2030 with
the support vector regression models. We use grid search and cross validation
to guarantee the prediction performance of our models. We believe this model
will have great applications in the macro carbon price prediction.
