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...

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...

The aim of this research is to examine the structural changes of European carbon futures price under the European Union Emissions Trading Scheme (EU ETS) during 2005-2012. More speci fically, by relying on the daily EU allowance (EUA) futures contract, we investigate the structural changes of...

This article investigates the European carbon futures price dynamics by applying the Zipf analysis. The results show that: first, carbon price behaviour is asymmetric, and the long-term bearish probability is greater than the long-term bullish probability. Second, time-scales of investment and...

This article investigates the European carbon futures price dynamics by applying the Zipf analysis. The results show that: first, carbon price behaviour is asymmetric, and the long-term bearish probability is greater than the long-term bullish probability. Second, time-scales of investment and...

Due to the movement and complexity of the carbon market, traditional monoscale forecasting approaches often fail to capture its nonstationary and nonlinear properties and accurately describe its moving tendencies. In this study, a multiscale ensemble forecasting model integrating empirical mode...

In this study, a trinomial tree modeling-based real option approach was developed to evaluate the investment in CCS retrofitting for two typical types of power plants from the perspective of power generation enterprises. A method based on the cumulative probability was proposed using trinomial...