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Cross-correlation analysis between energy and carbon markets in China based on multifractal theory

机译:基于多分术理论的中国能源与碳市场的互相关分析

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Global climate change has become the greatest threat to mankind, endangering the ecological security of the earth and the long-term development of human society. Therefore, how to effectively reduce greenhouse gas emissions and curb the trend of global warming has become a common challenge facing all countries in the world. Fossil energy combustion is the fundamental cause of climate change. In this paper, the price return series of domestic energy and carbon markets are taken as the research objects. Firstly, the cross-correlation test is used to verify that there is an obvious cross-correlation between the return series of the energy and carbon markets. Based on this, the multifractal characteristics of energy market and carbon market cross-series are empirically studied. The empirical results show that there is an interactive correlation between energy and carbon markets and this relationship has multifractal characteristics; the interactive correlation between return series has multifractal characteristics. The long-range correlation between small fluctuations and large fluctuations and the fat tail distribution of return series are all reasons for the formation of multifractality. These conclusions will help to understand the non-linear dependence and potential dynamic mechanism between energy and carbon markets in China.
机译:全球气候变化已成为人类的最大威胁,危及地球的生态安全和人类社会的长期发展。因此,如何有效减少温室气体排放和遏制全球变暖的趋势已成为世界各国面临的共同挑战。化石能量燃烧是气候变化的根本原因。在本文中,国内能源和碳市场的价格回报系列被视为研究对象。首先,互相关试验用于验证能量和碳市场的返回系列之间存在明显的互相关。基于这一点,经验研究了能源市场和碳市场交叉系列的多重分手特征。经验结果表明,能量和碳市场之间存在相互作用的相关性,这种关系具有多分形特征; Return系列之间的交互式相关性具有多分形特性。返回系列的小波动和大波动之间的远程相关性以及返回系列的脂肪尾部分布是形成多重性的原因。这些结论将有助于了解中国能源和碳市场之间的非线性依赖和潜在的动态机制。

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