期刊文献+

欧盟EUA与CER两个市场之间的溢出效应研究 被引量:9

A Study on the Spillover Effects between EU EUA Market and CER Market
下载PDF
导出
摘要 通过分析欧盟EUA碳交易市场与CER碳交易市场间溢出效应的形成机制,提出了对称溢出的理论假设,并运用格兰杰因果检验、VAR模型以及MGARCH-BEKK模型等方法对假设进行了实证检验。实证结果拒绝了理论假设,EUA市场与CER市场相互间收益和波动溢出效应存在非对称性。收益溢出方面,EUA市场对CER市场有显著的负的溢出效应,而CER市场对EUA市场的溢出效应不显著;波动溢出方面,EUA与CER市场间存在负的双向波动溢出效应,但是EUA市场对CER市场的溢出效应相对较大。 This paper firstly analyses the formation mechanism of spillover effects between EU EVA carbon trading market and CER carbon trading market and then puts forward the theoretical hypothesis of symmetrical spillover effects. This theoretical hypothesis is tested by Granger causality test,VAR model,MGARCH-BEKK model. The empirical results show that the theoretical hypothesis is refused. It exerts dissymmetric spillover effects between the EUA market and the CER market. On the aspect of income spillover,the EUA market has significant negative spillover effects on the CER market,however the CER market has no significant spillover effects on the EUA market. On the aspect of volatility spillover,there is a two-way negative volatility spillover effects between EUA and CER markets. But the EUA market has a stronger volatility spillover effects on the CER market. The paper analyses the reason why the theoretical hypothesis is rejected by empirical results and proposes some advice to our government.
出处 《华南师范大学学报(社会科学版)》 CSSCI 北大核心 2014年第1期110-119,159,共10页 Journal of South China Normal University:Social Science Edition
基金 国家社会科学基金项目"碳资产的特殊风险与收益分析"(11BJY143) 教育部规划基金项目"国际碳资产组合选择与定价"(10YJA790114) 广东省社会科学规划基金"打造理论粤军"重大资助项目"主体功能区规划下生态交易的理论探索--基于碳配额交易的视角"(LLYJ1318)
关键词 碳交易市场 溢出效应 格兰杰因果检验 VAR模型 MGARCH-BEKK模型 carbon trading market spillover effects Granger Causality Test VAR Model MGARCH-BEKK Model.
  • 相关文献

参考文献7

二级参考文献81

共引文献179

同被引文献89

  • 1王玉,郇志坚.欧盟碳排放权交易市场的价格发现和波动溢出研究[J].中国人口·资源与环境,2012,22(S1):244-249. 被引量:19
  • 2周伟军,孙景德,张超群.碳交易定价权与中国的政策选择[J].金融论坛,2010,15(S1):108-112. 被引量:4
  • 3陈悦,陈超美,刘则渊,胡志刚,王贤文.CiteSpace知识图谱的方法论功能[J].科学学研究,2015,33(2):242-253. 被引量:7143
  • 4宋楠,李自然,曾诗鸿.碳市场与大类资产之间的波动信息传导[J].资源科学,2015,37(6):1258-1265. 被引量:11
  • 5ALBEROLA E, CHEVALLIER J, CHEZE B. 2008. Price drivers and structural breaks in European carbon prices 2005-2007[J]. Energy Policy, (2) : 787-797.
  • 6BROCK W A, SCHEINKMAN J A,DECHERT W D. 1996. A test for independence based on the correlation dimension[J]. Econometric Reviews, (3) : 197-235.
  • 7DIKS C, PANCHENKO V. 2006. A new statistic and practical guidelines {or nonparametric Granger causalitytesting[J]. Journal of Economic Dynamic and Control, (9) : 1647-1669.
  • 8HIEMSTRA C, JONES J lb. 1994. Testing for linear and nonlinear Granger causality in the stock price-volume relation[J]. Journal of Finance, (5) : 1639-1664.
  • 9Lee T H, WHITE H,Granger C W J. 1993. Testing for neglected nonlinearity in time series models: a compar- ison of neural network methods and alternative test[J].Journal of Econometrics, (3) :269-290.
  • 10MANSANET-BATALLER M,PAREK) A, VALOR E. 2007. CO2 prices, energy and weather[J]. The Energy Journal, 73-92.

引证文献9

二级引证文献51

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部