Factors of carbon price volatility in a comparative analysis of the EUA and sCER

被引:29
|
作者
Tang, Bao-jun [1 ,2 ]
Gong, Pi-qin [1 ,2 ]
Shen, Cheng [3 ]
机构
[1] Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China
[2] Beijing Inst Technol, Sch Management & Econ, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China
[3] China Shipbldg Ind Res Ctr, Beijing 100081, Peoples R China
基金
北京市自然科学基金;
关键词
European Union emission trading system; Clean development mechanisms; Ensemble empirical model decomposition; Variance ratio; EMISSIONS; MODEL;
D O I
10.1007/s10479-015-1864-y
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
The paper proposes three hypotheses for the factors of carbon price volatility on the basis of the existing literature, and then uses ensemble empirical model decomposition and variance ratio to analyze the carbon price volatility of the European Union emission trading system (EU ETS) and clean development mechanisms (CDM). The results show that carbon price volatility is mainly affected by the market mechanism and external environment. The frequency of the market mechanism is high, with the duration being 2 months and amplitudes 1 euro; the external environment has an impact on carbon price at a low frequency, with the duration lasting 5 months or more and amplitudes of more than 2 euros. From the comparison of the two markets, not only in duration, but also in amplitude, the market mechanism and heterogeneity environment are shown to have a more significant impact on EU ETS than on CDM. Compared with its early stages, the carbon market is no longer temperature sensitive. The carbon price has a clear downward trend, with that of the CDM market being the more obvious.
引用
收藏
页码:157 / 168
页数:12
相关论文
共 50 条
  • [21] Analysis of meat price volatility in China
    Luo, WanChun
    Liu, Rui
    [J]. CHINA AGRICULTURAL ECONOMIC REVIEW, 2011, 3 (03) : 402 - 411
  • [22] Carbon price volatility: Evidence from EU ETS
    Feng, Zhen-Hua
    Zou, Le-Le
    Wei, Yi-Ming
    [J]. APPLIED ENERGY, 2011, 88 (03) : 590 - 598
  • [23] Why do carbon prices and price volatility change?
    Ibrahim, Boulis Maher
    Kalaitzoglou, Iordanis Angelos
    [J]. JOURNAL OF BANKING & FINANCE, 2016, 63 : 76 - 94
  • [24] Influence factors of international gold futures price volatility
    Wang, Hao
    Sheng, Hu
    Zhang, Hong-wei
    [J]. TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA, 2019, 29 (11) : 2447 - 2454
  • [25] The Catastrophe Analysis of Shanghai Crude Oil Futures Price from the Perspective of Volatility Factors
    Gong, Weifeng
    Li, Yahui
    Wang, Chuanhui
    Zhang, Haixia
    Zhai, Zhengjie
    [J]. COMPLEXITY, 2022, 2022
  • [26] The Catastrophe Analysis of Shanghai Crude Oil Futures Price from the Perspective of Volatility Factors
    Gong, Weifeng
    Li, Yahui
    Wang, Chuanhui
    Zhang, Haixia
    Zhai, Zhengjie
    [J]. COMPLEXITY, 2022, 2022
  • [27] The Catastrophe Analysis of Shanghai Crude Oil Futures Price from the Perspective of Volatility Factors
    Gong, Weifeng
    Li, Yahui
    Wang, Chuanhui
    Zhang, Haixia
    Zhai, Zhengjie
    [J]. Complexity, 2022, 2022
  • [28] A dynamic analysis of the effects of a price support program on price dynamics and price volatility
    Kim, K
    Chavas, JP
    [J]. JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS, 2002, 27 (02): : 495 - 514
  • [29] Price volatility spillover of Indian onion markets: A comparative study
    Sinha, Kanchan
    Panwar, Sanjeev
    Alam, Wasi
    Singh, K. N.
    Gurung, Bishal
    Paul, Ranjit Kumar
    Mukherjee, Anirban
    [J]. INDIAN JOURNAL OF AGRICULTURAL SCIENCES, 2018, 88 (01): : 114 - 120
  • [30] Oil Price Volatility and Change Point Analysis
    Chai, Jian
    Guo, Ju'e
    Wang, Shou-yang
    Li, Hong-quan
    [J]. INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL SCIENCES AND OPTIMIZATION, VOL 2, PROCEEDINGS, 2009, : 475 - +