Mastering the underlying characteristics of carbon price changes can help governments formulate correct policies to keep efficient operation of carbon markets, and investors take effective measures to evade their investment risks. Empirical mode decomposition (EMD), a self-adaption data analysis...

The aim of this research was to examine the structural changes of European carbon futures price under the European Union Emissions Trading Scheme during 2005-2012. More specifically, by relying on the daily EU allowance futures contract, we investigate the structural changes of the European...

In general, due to inherently high complexity, carbon prices simultaneously contain linear and nonlinear patterns. Although the traditional autoregressive integrated moving average (ARIMA) model has been one of the most popular linear models in time series forecasting, the ARIMA model cannot...