|
E-Commerce Letters 2024
基于BSM模型的碳期权设计及定价研究
|
Abstract:
碳交易市场是实现“双碳”目标的重要途径,丰富的碳金融衍生品有助于增加碳市场活性,可以更好地发挥发现价格和风险管理功能。本文借鉴欧洲碳排放权交易体系中的碳期货期权产品,设计了我国的以碳排放配额为标的碳期权合约,并选择BSM模型作为碳期权的基础定价模型,描述碳价波动率与碳价之间的变化过程。研究发现,全国碳交易市场是非有效市场,具有反持久性特点,全国碳排放配额收益率具有明显的条件异方差特征,且波动具有显著的持续性。基于此,应加快完善碳市场建设,积极开展碳金融创新实践,加强碳交易市场国际合作。
The carbon trading market is an important way to achieve the goal of “double carbon”. Rich carbon financial derivatives can help to increase the activity of the carbon market and better play the role of price discovery and risk management. Based on the carbon futures option products in the European carbon emission trading system, this paper designs a carbon option contract with carbon emission quota as the target in China, and chooses BSM model as the basic pricing model of carbon options to describe the changing process between carbon price volatility and carbon price. It is found that the national carbon trading market is inefficient and anti-persistent, and the national carbon emission quota yield has obvious conditional heteroscedasticity characteristics, and the fluctuation has obvious persistence. Based on this, we should speed up the improvement of carbon market construction, actively carry out carbon financial innovation practice, and strengthen international cooperation in carbon trading market.
[1] | Xu, L., Deng, S. and Thomas, V.M. (2016) Carbon Emission Permit Price Volatility Reduction through Financial Options. Energy Economics, 53, 248-260. https://doi.org/10.1016/j.eneco.2014.06.001 |
[2] | Ying, Y.-R. and Yue, Y.-H. (2017) China-Style “Acid Rain Plan”—A Pricing Formula for Carbon Option. 3rd International Conference on Green Materialsand Environmental Engineering (GMEE2017). https://doi.org/10.12783/dteees/gmee2017/16589 |
[3] | 王春霞. 一款气候债券的设计与估值[D]: [硕士学位论文]. 北京: 对外经济贸易大学, 2014. |
[4] | 陈欣. 中国碳交易市场价格研究[D]: [博士学位论文]. 西安: 陕西师范大学, 2016. |
[5] | 赵静, 许向阳. 基于中碳市值指数的碳期权合约设计研究[J]. 中国林业经济, 2019(6): 79-82. |
[6] | 杨倩倩. 以排放配额为标的的碳期权产品设计[D]: [硕士学位论文]. 大连: 大连理工大学, 2021. |
[7] | 李竹薇, 卢雪姣, 杨倩倩, 王晓姗. 我国碳期权产品研发设计——以碳排放配额为基础标的[J]. 投资研究, 2022, 41(5): 53-68. |
[8] | 冯建芬, 夏传信, 王春霞. 碳排放权价格建模与碳债券估值[J]. 河北经贸大学学报, 2018, 39(1): 66-72. |
[9] | 崔瑛麟. 我国碳金融市场的分形特征研究[D]: [硕士学位论文]. 济南: 山东财经大学, 2021. |
[10] | 张晨, 彭婷, 刘宇佳. 基于GARCH-分形布朗运动模型的碳期权定价研究[J]. 合肥工业大学学报, 2015, 38(11): 1553-1558. |
[11] | 王苏生, 王俊博, 许桐桐, 余臻. 基于ARMA-GARCH-SN 模型的沪深300股指期货日内波动率研究与预测[J]. 运筹与管理, 2018, 27(4): 153-161. |
[12] | 范英, 魏一鸣. 基于R/S分析的中国股票市场分形特征研究[J]. 系统工程, 2004, 22(11): 46-51. |
[13] | 姜近勇, 潘冠中. 金融计量学[M]. 北京: 中国财政经济出版社, 2011. |
[14] | 周龙环, 黄晓勇. “双碳”目标下碳金融创新机制及实现路径研究[J]. 价格理论与实践, 2023(4): 43-46, 121. |