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 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...

Internal carbon pricing (ICP) has emerged as an increasingly popular tool for firms to cut emissions and combat climate change risks. We theorize the role of ICP by integrating legitimacy and stakeholder perspectives into dynamic capability theory. We argue that firms implement ICP to comply...

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...

We develop a novel large-scale Network Autoregressive model with balance Constraint (NAC) to predict hour-ahead gas flows in the gas transmission network, where the total in- and out-flows of the network are balanced over time. By integrating recent advances in optimization and statistical...