当代财经 ›› 2023, Vol. 0 ›› Issue (11): 16-27.

• 理论经济 • 上一篇    下一篇

碳排放权交易市场存在收益-波动双长期记忆吗

王一凡1, 吴宗法1, 王志强2   

  1. 1.同济大学 经济与管理学院,上海 200092;
    2.九江学院,资源环境学院,江西 九江 332005
  • 收稿日期:2023-04-03 修回日期:2023-06-16 出版日期:2023-11-15 发布日期:2023-11-08
  • 通讯作者: 吴宗法,同济大学教授,博士生导师,博士,主要从事技术经济学研究,联系方式gjwzf0@163.com。
  • 作者简介:王一凡,同济大学博士研究生,主要从事碳交易市场研究;王志强,九江学院副教授,博士,主要从事绿色经济研究。

Is There a Yield-Volatility Dual Long-Term Memory in the Carbon Emission Trading Market?

WANG Yi-fan1, WU Zong-fa1, WANG Zhi-qiang2   

  1. 1. Tongji University, Shanghai 200092;
    2. Jiujiang University, Jiujiang 332005, China
  • Received:2023-04-03 Revised:2023-06-16 Online:2023-11-15 Published:2023-11-08

摘要: 中国碳交易市场价格运行规律是当前研究热点之一。基于深圳、广州、湖北碳交易试点市场成立至今的碳交易价格序列,通过R/S分析、修正R/S分析、V/S分析、LW估计、ARFIMA-FIGARCH等多种长期记忆计量模型的实证研究表明:第一,深圳碳交易序列存在收益-波动双记忆,湖北碳交易序列仅有波动率存在长期记忆;第二,深圳、广州碳交易价格的长期趋势可能发生反转,由上升趋势转变为下降趋势,三大试点市场碳交易价格可能在未来出现剧烈波动;第三,基于不同长期记忆参数估计方法与不同参数选择下得到的长期记忆参数估计值存在一定偏差。上述结论意味着,市场参与者应该防范碳交易市场价格风险,警惕碳交易价格可能出现的剧烈波动。政策制定者应当从行业覆盖范围、准入门槛、纳入企业数量、个人投资者与机构投资者数量、碳金融产品、交易方式、交易费用、涨跌幅、配额计算方法、配额分配方式等多个方面完善碳交易制度,提升碳交易市场效率。

关键词: 长期记忆:碳交易:市场效率, 收益-波动双记忆

Abstract: The price operation law in China’s carbon trading market is one of the hot research issues at present. Based on the carbon trading price series of Shenzhen, Guangzhou and Hubei carbon trading pilot markets since their establishment, this paper conducts an empirical study with a number of long-term memory measurement models, such as R/S analysis, modified R/S analysis, V/S analysis, LW estimation, ARFIMA-FIGARCH and so on. The results show that, firstly, there exists a yield-volatility dual memory in Shenzhen carbon trading series, while there exists only long-term memory of volatility in Hubei carbon trading series; secondly, the long-term trend of carbon trading prices in Shenzhen and Guangzhou may be reversed, from an upward trend to a downward trend, the carbon trading prices in the three pilot markets may fluctuate sharply in the future; thirdly, there is a certain deviation between the estimation method based on different long-term memory parameters and the estimation value of the long-term memory parameters obtained from different parameter selection. The above conclusion suggests that the market participants should guard themselves against the price risks in the carbon trading markets and be alert to the possible sharp fluctuations of carbon tradingprices. The policy makers should improve the carbon trading system in terms of industry coverage, access threshold, number of included enterprises, number of individual and institutional investors, carbon financial products, trading methods, transaction costs, price rise and fall, quota calculation methods, quota allocation methods, and other aspects, so as to improve the efficiency of the carbon trading markets.

Key words: long-term memory: carbon trading: market efficiency, yield-volatility dual long memory

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