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Asymmetric spillover connectedness between clean energy markets and industrial stock markets: How uncertainties affect it

社会联系 溢出效应 库存(枪支) 业务 撤资 经济 金融经济学 财务 微观经济学 心理学 心理治疗师 机械工程 工程类
作者
Ailing Li,Bingmao Zhong
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:20 (3): e0316171-e0316171
标识
DOI:10.1371/journal.pone.0316171
摘要

As the global climate crisis intensifies, clean energy is becoming increasingly important, and the intrinsic link between industry and energy highlights the connectedness between the industrial stock market and the clean energy market, and examining this connectedness can reveal risk spillovers between these markets. We categorise the clean energy market into hydro, wind and solar markets, and the industrial stock market into low-carbon portfolios, high-carbon portfolios and ordinary portfolios, and use the network connectedness methodology to investigate the connectedness of returns between the clean energy submarkets and the industrial stock submarkets in the time and frequency domains. The returns are categorised into positive and negative returns in order to investigate the asymmetry in the connectedness of the markets. Finally, we explore the effects of EPU, GPU, and CPU in terms of network connectedness. It is revealed that clean energy submarkets are net receivers of risk, industrial stock submarkets are risk transmitters. The hydropower market is the main risk receiver, while the low-carbon portfolio is the main risk transmitter. Risk spillovers are mainly driven by short-term spillovers and do not have persistent spillover transmission. Bad news has a greater impact on network connectedness, leading to higher levels of connectedness between markets. EPU and CPU have significant effects on network connectedness. Our findings are informative for both investors and policymakers.

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