可再生能源
波动性(金融)
经济
货币经济学
计量经济学
工程类
电气工程
作者
Lê Thanh Hà,Ahmed Bouteska,Taimur Sharif,Mohammad Zoynul Abedin
标识
DOI:10.1016/j.ribaf.2024.102278
摘要
Our paper applies a time-varying parameter vector autoregression (TVP-VAR) in combination with an extended joint connectedness approach to investigate interlinkages among carbon emissions futures and the volatility of the renewable energy sector. The findings show that the system-wide dynamic connectedness realized a peak in early 2020 in the wake of the COVID-19 crisis. Net total directional connectedness proves that carbon emissions futures and wind energy play the roles of both net transmitters and net receivers of shocks in both periods – before and after the pandemic. The findings of this paper can support policy formulations to avoid rapid fluctuations in carbon prices, make the carbon price table, and limit the negative effect of carbon risk on the energy market, while promoting the protection of systemic financial risks in the renewable energy sector and ensuring a green energy supply.
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