External energy security elements and the riskiness of clean energy stocks: a volatility analysis

IF 5.2 4区 管理学 Q1 BUSINESS, FINANCE
Aminu Hassan
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引用次数: 1

Abstract

Purpose Clean energy stocks are exhibiting signs of increasing volatility reflecting the varied and conflicting strategies employed by nations to pursue energy security objectives. In this regard, this paper aims to examine the response of NASDAQ clean energy stock returns volatility to the influences of external energy security elements including oil price, natural gas price, coal price, carbon price and green information technology stock price. Design/methodology/approach The paper uses symmetric and asymmetric generalised autoregressive conditional heteroskedasticity models (GARCH and TGARCH, respectively), which incorporate external energy security elements as exogenous variables, to estimate volatility models for clean energy stock returns. Findings Although, prices of oil, coal and natural gas are negatively associated with NASDAQ clean energy returns volatility, only the effect of natural gas price is significant. While carbon price affects NASDAQ clean energy returns volatility positively, green information technology price affects the volatility negatively. These results are robust to exponential GARCH and lead-and-lag robust ordinary least-squares as alternative estimation methods. Research limitations/implications The study lumps the effects of all other external and internal factors, including internal energy security elements, in the autoregressive conditional heteroscedasticity (ARCH) term to predict NASDAQ clean energy returns conditional variance. GARCH method does not disentangle individual roles of the factors captured in the ARCH term in predicting volatility. Practical implications Results documented imply that natural gas appears a closer substitute for renewable energy sources than crude oil and coal, such that its price rise is perceived as good news in the NASDAQ clean energy financial market, while a fall is considered bad news. Furthermore, both an increase in carbon price and a decrease in green information technology stock performance are perceived as negative shocks. Social implications In assessing risks associated with clean energy stocks, investors and fund managers should carefully consider the effects of external energy security elements. Originality/value To the best of the author’s knowledge, the paper is the first to identify external energy security elements and examine their effects on clean energy stock volatility.
外部能源安全因素与清洁能源股票风险:波动性分析
清洁能源股票表现出越来越大的波动迹象,反映了各国为追求能源安全目标而采取的各种相互冲突的战略。为此,本文旨在考察纳斯达克清洁能源股票收益率波动对石油价格、天然气价格、煤炭价格、碳价格和绿色信息技术股票价格等外部能源安全要素影响的响应。设计/方法/方法本文使用对称和非对称广义自回归条件异方差模型(GARCH和TGARCH),将外部能源安全因素作为外生变量,来估计清洁能源股票回报的波动模型。尽管石油、煤炭和天然气价格与纳斯达克清洁能源收益波动呈负相关,但只有天然气价格的影响显著。碳价格正影响纳斯达克清洁能源回报波动率,而绿色信息技术价格负影响波动率。这些结果对指数GARCH和超前滞后鲁棒普通最小二乘作为替代估计方法具有鲁棒性。研究局限/启示本研究将所有其他外部和内部因素,包括内部能源安全因素,集中在自回归条件异方差(ARCH)项中,以预测纳斯达克清洁能源回报条件方差。GARCH方法在预测波动率时并没有将ARCH项中捕获的各个因素的作用分开。实际影响文献结果表明,天然气似乎比原油和煤炭更接近于可再生能源的替代品,因此其价格上涨在纳斯达克清洁能源金融市场被视为好消息,而下跌则被视为坏消息。此外,碳价格的上涨和绿色信息技术股票表现的下降都被认为是负面冲击。在评估与清洁能源股票相关的风险时,投资者和基金经理应仔细考虑外部能源安全因素的影响。原创性/价值据作者所知,本文是第一个识别外部能源安全因素,并研究其对清洁能源股票波动的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.50
自引率
6.70%
发文量
38
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