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Dynamic Effects in International Carbon Emission Markets: Evidence from ECX CER

机译:国际碳排放市场的动态影响:来自ECX CER的证据

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摘要

It firstly analyzes effects of price shocks in ECX CER spot market and futures markets applying VAR model and Impulse Response Analysis. The results are found that price shocks of CER spot price with Cholesky one standard deviation innovations to itself and futures prices of Dec09 CER, Dec10 CER, Dec11 CER and Dec12 CER show high positive effects while price shocks of CER futures prices to themselves and CER spot price exhibit low positive effects, even negative effects. Besides, it respectively fits characteristics of returns series in CER futures markets and spot market using t-GARCH model, Gaussian-GARCH model, t-GJR model and Gaussian-GJR model. It displays that t-GARCH (1, 1) model is the optimal model to fit the returns series. Meanwhile, we suggest the use of Markov regime-switching model for ECX CER stochastic modeling, indicating that both CER spot market and futures markets exhibit high stochastic behavior in the returns.
机译:首先利用VAR模型和脉冲响应分析法分析了ECX CER现货市场和期货市场价格冲击的影响。结果发现,采用Cholesky本身的标准差创新和C09、12、10、12和12的期货价格对CER现货价格的价格冲击显示出较高的积极影响,而CER期货价格对自身和CER现货的价格冲击价格显示出较低的正面影响,甚至负面影响。此外,利用t-GARCH模型,Gaussian-GARCH模型,t-GJR模型和Gaussian-GJR模型分别拟合了CER期货市场和现货市场的收益序列特征。它显示t-GARCH(1,1)模型是适合收益序列的最佳模型。同时,我们建议将马尔可夫政权转换模型用于ECX CER随机建模,这表明CER现货市场和期货市场在回报中均表现出较高的随机行为。

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