基于索取权的碳排放交易价格预测方法

Q2 Social Sciences
Jing Zeng
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引用次数: 0

摘要

碳排放权交易价格预测对提高市场透明度具有重要意义。为此,本文提出了一种基于索取权的碳排放权交易价格预测方法。首先,构建影响碳排放权价格的因子分析模型,确定影响碳排放权价格的六个因素,包括工业增加值比、煤炭价格、最高温度、收盘价、天然气收盘价和政策;然后,基于马尔可夫函数构造了转移率矩阵,并基于权利要求构造了碳排放权期权价格预测模型。最后,将影响参数代入预测模型,采用欧式看涨期权法确定等效对价预期,得到交易价格解。结果表明,该方法的预测误差仅为+0.0014元/吨,准确率为96%,表明该方法可以提高交易价格的预测效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction method of carbon emission trading price based on claim rights
Predicting carbon emissions trading prices is of great significance for improving market transparency. Therefore, this paper proposes a carbon emissions trading price prediction method based on claim rights. Firstly, a factor analysis model to determine six factors that affect the price of carbon emission rights is constructed, including the ratio of industrial added value, coal price, maximum temperature, closing price, natural gas closing price, and policy. Then, a transfer rate matrix is constructed based on Markov functions, and a carbon emission rights option price prediction model is constructed using claim rights. Finally, the influence parameters are substituted into the prediction model, and the European call option method is used to determine the equivalent consideration expectations, achieving the transaction price solution. The results show that the prediction error of this method is only +0.0014 yuan/ton, with an accuracy of 96%, indicating that this method can improve the prediction effect of transaction prices.
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来源期刊
International Journal of Energy Technology and Policy
International Journal of Energy Technology and Policy Social Sciences-Geography, Planning and Development
CiteScore
1.50
自引率
0.00%
发文量
16
期刊介绍: The IJETP is a vehicle to provide a refereed and authoritative source of information in the field of energy technology and policy.
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