首页> 外文OA文献 >The dependence structure between carbon emission allowances and financial markets: A copula analysis
【2h】

The dependence structure between carbon emission allowances and financial markets: A copula analysis

机译:碳排放配额与金融市场之间的依赖关系:联合分析

摘要

This paper applies different copulas in order to investigate the complex dependence structure between EU emission allowance (EUA) futures returns and those of other commodities, equity and energy indices. The analysis yields important insights into the relationship between carbon, commodities and financial markets. First of all, we find a significant relationship between EUA returns and those of the other considered variables that is most appropriately modeled by a Gaussian and Student-t copula. These results contradict some earlier studies that report no statistically significant or even negative correlations between returns of emission allowances and other financial variables. Secondly, considering time-varying copulas shows that the estimated copula parameters are not constant over time. We find in particular that the dependence is stronger during the period of the financial crisis. In a Value-at-Risk (VaR) analysis, finally, we further illustrate the advantages of copula methods. In particular the Student-t copula provides an appropriate quantification of VaR at different confidence levels while other models fail to specify the risk correctly. This analysis shows that ignoring the actual nature of dependence might lead to an underestimation of the risk for portfolios combining EUAs with commodities or equity investments.
机译:为了研究欧盟排放配额(EUA)期货收益与其他商品,股票和能源指数的收益之间的复杂依赖关系,本文采用了不同的联系方式。该分析对碳,商品和金融市场之间的关系产生了重要的见解。首先,我们发现EUA回报与其他考虑变量之间的显着关系,可以用高斯和Student-t copula进行最恰当的建模。这些结果与一些较早的研究相矛盾,这些研究报告的排放配额收益与其他财务变量之间没有统计学上的显着甚至负相关。其次,考虑时变的copula表明,估计的copula参数在时间上不是恒定的。我们特别发现,在金融危机期间,这种依赖性更加强烈。最后,在风险价值(VaR)分析中,我们进一步说明了copula方法的优势。特别是,Student-t copula在不同的置信度水平上提供了适当的VaR量化,而其他模型则无法正确指定风险。该分析表明,忽略依赖的实际性质可能会导致低估将EUA与商品或股权投资相结合的投资组合的风险。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号