期刊文献+

基于MS-AR模型的碳排放权交易价格波动性研究——以湖北碳排放权交易中心为例 被引量:3

Research on Price Volatility of Carbon Emissions Trading Based on MS-AR Model——Taking Hubei Carbon Emission Trading Center as the Research Object
下载PDF
导出
摘要 以湖北碳排放权交易中心2017年1月3日至2018年12月17日的日碳交易价格为样本,通过建立MS-AR模型研究了其碳交易价格收益率的动态变化过程。结果显示:价格由下跌状态转化到上涨状态概率为p12=0.7207,从上涨状态转化为下跌的概率为p21=0.3408;停留在上涨状态的持续期为2.93d,停留在下跌状态的持续期为1.30d。由此可知湖北碳价市场发展势头良好,上升空间大。 Taking the daily carbon emission trading price of Hubei Carbon Emission Trading Center from January 3,2017 to December 17,2018 as the sample,the dynamic change process of carbon emission right trading price return rate was studied by establishing MS-AR model.The results show that the probability of the price from the declining state to the rising state is and the probability of the price from the rising state to the falling state is.The duration of staying in the rising state is 2.93 days,and the duration of staying in the falling state is 1.30 days.Therefore,the carbon price market in Hubei has a good development momentum and a large room for improvement.
作者 杨通录 邓晓卫 栾震 陈俊赫 Yang Tonglu;Deng Xiaowei;Luan Zhen;Chen Junhe(College of Physical and Mathematical Sciences,Nanjing Tech University,Nanjing,Jiangsu 211810,China)
出处 《绿色科技》 2019年第10期280-282,285,共4页 Journal of Green Science and Technology
基金 江苏省教育厅项目(编号:苏教外办2017[14]) 江苏省大学生创新创业训练计划项目(编号:201810291130Y)
关键词 MS-AR模型 碳交易价格 非线性检验 转换概率 MS-AR model carbon trading price nonlinear test conversion probability
  • 相关文献

参考文献5

二级参考文献36

  • 1袁嫄,刘纪显,张芳.碳配额市场价格非对称性波动研究——基于欧盟碳配额管理制度的实证分析[J].金融论坛,2015,20(5):44-53. 被引量:7
  • 2Borak S, Hardle W, Triack S, et al. Convenience yields for CO2 emission allowance future contracts [R]. 649 discussion paper 2006- 076, Humbolat University, 2006.
  • 3Paolella M S, Taschini L. An econometric analysis of e- mission trading allowances[R]. Working Paper No341, National Center of Competence in Research Financial Valuation and Risk Management, 2006.
  • 4Seifert J, Uhrig-Homburg M, Wagner M. Dynamic be- havior of CO2 spot prices[J]. Journal Of Environmental Economics and Management, 2008, 56 : 180- 94.
  • 5Daskalakis G, Psychoyios D, Markellos R N. Modeling CO2 emission allowance prices and derivatives.. Evidence from the European trading[J]. Journal of Banking & Fi- nance, 2009, 33:1230-41.
  • 6Manasanet-Bataller M, Pardo A, Valor E. CO2 prices, energy and weather[J]. The Energy Journal, 2007, 28: 73-92.
  • 7Considine T J. The impacts of weather variations on en- ergy demand and carbon emissions [J]. Resource and Energy Economics, 2000,22: 295-314.
  • 8Ehrhart K M, Hoppe C. Loschel R. Abuse of EU emis- sions trading for tacit collusion[J]. Environmental and Resource Economics, 2008,41 : 347 - 361.
  • 9Kim H S, Koo W W. Factors affecting the carbon al- lowance market in the US[J]. Energy Policy 2010, 38: 1879- 1884.
  • 10周宏春.世界碳交易市场的发展与启示[J].中国软科学,2009(12):39-48. 被引量:95

共引文献48

同被引文献34

引证文献3

二级引证文献6

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