摘要
以湖北碳排放权市场为对象,使用2014年4月28日到2024年3月25日共2376个数据样本点,构建具有趋势调节的T-AR(1)-GARCH(1,1)模型,刻画碳排放权市场周内效应形式及其影响关系。结果显示,湖北碳排放权市场在高波动和低波动下分别呈现正向和负向的周一效应。即当市场波动较高时,周一收益在市场下降趋势下会导致市场收益上涨12.8%,而当市场波动较低时,周一收益则导致市场收益下降2.3%。特别是周一效应被证明受到自身长期滞后收益的负向影响,以及欧盟碳价的正向影响。研究表明碳排放权市场价格并非随机游走,而是呈现周内效应特征,为研判碳市场效率,开展量化投资等提供参考。
This article focuses on the Hubei carbon emission rights market,constructs an T-AR(1)-GARCH(1,1)model with trend moderation,and explores the forms and impact relationships of the weekday effects.The results show that the Hubei carbon market exhibits positive and negative Monday effects under high and low volatility conditions,respectively.That is,under the higher and lower market fluctuations,Monday′s returns will lead to a 12.8%increase and a 2.3%decrease in carbon market returns,respectively.Especially,the Monday effect has been proven to be negatively affected by long-term lagged terms,and positive impacted by European carbon price.Research has convinced that the prices of Hubei carbon market do not follow random walks,but exhibit significant wandering weekday effects.The results provide reference for evaluating the carbon market efficiency and making investment decisions.
作者
云坡
刘程慧
YUN Po;LIU Chenghui(School of Economics and Management,Hefei University,Hefei 230601,China)
出处
《合肥大学学报》
2024年第5期40-47,共8页
Journal of Hefei University
基金
安徽省哲学社会科学规划青年项目“多源异构时频信息环境下我国碳排放权价格机制刻画与建模预测”(AHSKQ2022D040)。