Abstract
In this paper, EMD, EEMD, CEEMD and MEEMD methods are used to analyze the multi-scale decomposition and application effect of carbon price time series. Through the comparison of indexes, such as orghogonality, completeness and so on, the MEEMD is proved to be the most effective method. MEEMD is used to conduct an empirical analysis of Hubei and EU carbon market. The results show that the biggest impact on the price of Hubei carbon market is the low frequency component, indicating that it is more easily to be interfered by external factors. The most influential factor on the EU carbon market price is the trend component which confirms that the EU carbon market has a strong price discovery function, that is, it has better effectiveness than Hubei carbon market.
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