...
首页> 外文期刊>Energy economics >Extreme return connectedness and its determinants between clean/green and dirty energy investments
【24h】

Extreme return connectedness and its determinants between clean/green and dirty energy investments

机译:极端回报和其在清洁/绿色和肮脏能源投资之间的决定因素

获取原文
获取原文并翻译 | 示例
           

摘要

Previous studies point to the time-variation and asymmetry in the relationship between clean energy stocks and crude oil markets, but there is a lack of evidence on the return spillovers between clean/green assets and dirty energy assets (crude oil and energy ETF) in lower and upper quantiles, and their potential drivers. To address these gaps, we apply quantile-based estimators to measure return connectedness at left and right tails of the conditional distribution of return shocks. We find that the average level of return connectedness estimated at the mean/median is 29%, whereas it reaches 65% when estimated at the left and right tails. Thus, return connectedness across clean energy stocks, green bonds, crude oil, and energy ETF is larger at both left and right tails, implying that the unsuitability of applying mean-based connectedness measures. Furthermore, we show that return connectedness measures vary with time, but they are less volatile in the tails. Notably, return connectedness differs between periods of extreme negative returns and periods of extreme negative returns, suggesting an asymmetric behaviour. An analysis of the drivers of the return connectedness shows the importance of macroeconomic conditions, especially at middle and lower quantiles. US dollar has a positive impact in all cases, whereas the crude oil market uncertainty intensifies the return spillovers at the lower quantile.(c) 2020 Elsevier B.V. All rights reserved.Previous studies point to the time-variation and asymmetry in the relationship between clean energy stocks and crude oil markets, but there is a lack of evidence on the return spillovers between clean/green assets and dirty energy assets (crude oil and energy ETF) in lower and upper quantiles, and their potential drivers. To address these gaps, we apply quantile-based estimators to measure return connectedness at left and right tails of the conditional distribution of return shocks. We find that the average level of return connectedness estimated at the mean/median is 29%, whereas it reaches 65% when estimated at the left and right tails. Thus, return connectedness across clean energy stocks, green bonds, crude oil, and energy ETF is larger at both left and right tails, implying that the unsuitability of applying mean-based connectedness measures. Furthermore, we show that return connectedness measures vary with time, but they are less volatile in the tails. Notably, return connectedness differs between periods of extreme negative returns and periods of extreme negative returns, suggesting an asymmetric behaviour. An analysis of the drivers of the return connectedness shows the importance of macroeconomic conditions, especially at middle and lower quantiles. US dollar has a positive impact in all cases, whereas the crude oil market uncertainty intensifies the return spillovers at the lower quantile.
机译:以前的研究指出了清洁能源股和原油市场之间关系的时变性和不对称性,但缺乏关于清洁/绿色资产和肮脏能源资产(原油和能源ETF)之间的回报溢出效果的证据较低和上量值和潜在的司机。为了解决这些差距,我们应用基于分位数的估算器,以测量左右尾部的返回连接,条件分布的返回冲击。我们发现,平均/中位数估计的平均返回连通程度为29%,而在左右尾部估计时,它达到65%。因此,在左右尾部的清洁能量库存,绿色键,原油和能量ETF上的返回连接性较大,这意味着不适用于施加平均连接度措施。此外,我们表明返回连接度量随时间而变化,但它们在尾部的挥发性较少。值得注意的是,返回连接性在极端负返回的时段和极端负返回的时段之间,表明不对称行为。返回连接的驱动程序分析显示了宏观经济条件的重要性,特别是在中间和下量值。美国美元对所有情况产生积极影响,而原油市场的不确定性将较低的斯蒂利的回报溢出率加剧。(c)2020 elestvier bv所有权利保留。另外的研究指出了清洁之间关系中的时间变化和不对称性。能源股和原油市场,但缺乏有关较低和上量值的清洁/绿色资产和脏能量资产(原油和能源ETF)之间的回报溢出效果,以及其潜在司机。为了解决这些差距,我们应用基于分位数的估算器,以测量左右尾部的返回连接,条件分布的返回冲击。我们发现,平均/中位数估计的平均返回连通程度为29%,而在左右尾部估计时,它达到65%。因此,在左右尾部的清洁能量库存,绿色键,原油和能量ETF上的返回连接性较大,这意味着不适用于施加平均连接度措施。此外,我们表明返回连接度量随时间而变化,但它们在尾部的挥发性较少。值得注意的是,返回连接性在极端负返回的时段和极端负返回的时段之间,表明不对称行为。返回连接的驱动程序分析显示了宏观经济条件的重要性,特别是在中间和下量值。美元对所有案件产生了积极影响,而原油市场不确定性将较低分量数的回报溢出率加剧。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号