The dynamic risk spillover effects among carbon, renewable energy, and electricity markets based on the TVP-VAR-DY model.

Yimin Luo, Shuifeng Hong, Fengtao Guang
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Abstract

The linkages among carbon, renewable energy, and electricity markets are gradually strengthening. In order to prevent risk transmission among markets, this paper uses the TVP-VAR-DY (Time-Varying Parameter-Vector Auto Regression-Dynamic) model to analyze the dynamic risk spillover effects and network structure of risk transmission among carbon, renewable energy, and electricity markets. The empirical results show that there are significant asymmetric spillover effects among carbon, renewable energy, and electricity markets. The total spillover index shows that spillover effects among carbon, renewable energy, and electricity markets are time-varying, especially during unexpected events. Besides, the net spillover index indicates that the spillover effects are bidirectional, asymmetric, and time-varying. Finally, under the influence of unexpected events, the network structures of risk transmission among carbon, renewable energy, and electricity markets are heterogeneous. Compared to the Russia-Ukraine conflict, the COVID-19 pandemic has a more significant impact on these markets.
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基于 TVP-VAR-DY 模型的碳市场、可再生能源市场和电力市场之间的动态风险溢出效应。
碳市场、可再生能源市场和电力市场之间的联系正在逐步加强。为防范市场间的风险传递,本文利用时变参数-矢量自动回归-动态模型(TVP-VAR-DY)分析了碳市场、可再生能源市场和电力市场之间的动态风险溢出效应和风险传递的网络结构。实证结果表明,碳市场、可再生能源市场和电力市场之间存在显著的非对称溢出效应。总溢出指数表明,碳市场、可再生能源市场和电力市场之间的溢出效应是时变的,尤其是在突发事件中。此外,净溢出指数表明溢出效应是双向的、不对称的和时变的。最后,在突发事件的影响下,碳市场、可再生能源市场和电力市场之间的风险传递网络结构具有异质性。与俄乌冲突相比,COVID-19 大流行对这些市场的影响更为显著。
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