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Dynamic Correlation between Carbon Market and Chinese Stock Market Based on AGDCC-GARCH

机译:基于AGDCC-GARCH的碳市场与中国股市的动态相关性

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Along with the worldwide concern on climate change, the greenhouse gas emission permit has emerged as a new asset with increasing liquidity and its derivatives has been traded more and more frequently on climate exchanges. This paper selects the European Union Allowance (EUA) futures traded on European Climate Exchange (ECX) to represent the emission permit market (carbon market), Shanghai Composite Index to represent Chinese stock market, and adopts the Asymmetric Generalized Dynamic Conditional Correlation (AGDCC) - GARCH model to analyze the dynamic correlation between carbon market and Chinese stock market. The empirical result shows that, the EUA futures share the characteristics of "Heavy Tail" and "Volatility Clustering" with conventional financial assets, and are correlated very weakly with the Shanghai Composite Index. Moreover, the correlation becomes even weaker when the volatility in Shanghai Composite Index increases. The results have important significance for Chinese investors to seize the opportunity brought up by carbon market to make internationally diversified investments.
机译:随着全球对气候变化的关注,温室气体排放许可证已成为流动性增加,其衍生物在气候交流中越来越频繁地交易。本文选择对欧洲气候交换(ECX)交易的欧盟津贴(EUA)期货代表排放许可市场(碳市场),上海综合指数代表中国股市,采用非对称通用动态条件相关性(AGDCC) - 加入模型分析碳市场与中国股市之间的动态相关性。经验结果表明,欧盟期货与传统金融资产共享“重型尾”和“波动聚类”的特点,并与上海综合指数非常弱。此外,当上海复合指数的波动增加时,相关性变得越来越弱。结果对中国投资者抓住碳市场夺取机会以制定国际多元化投资的重要意义。

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