2019冠状病毒病大流行期间绿色投资与能源大宗商品关系的跨分位数相关性和分位数内因果关系分析

IF 2.3 Q2 BUSINESS, FINANCE
Aarzoo Sharma, A. Tiwari, E. Abakah, Freeman Brobbey Owusu
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引用次数: 0

摘要

目的研究新冠肺炎疫情期间绿色投资与能源商品之间的跨分位数相关性和分位数内因果关系。具体而言,作者旨在解决以下问题:在2019冠状病毒病期间,绿色债券和能源商品之间是否存在分布可预测性?在全球大流行期间,绿色投资和能源商品之间是否存在方向性可预测性?在金融危机期间,绿色债券能否对冲能源大宗商品的风险?设计/方法/方法作者使用分位数和交叉量化图(CQ)相关方法中的非参数因果关系作为估计技术,分别使用2020年1月1日至2021年3月26日的每日现货价格来研究绿色投资和能源商品之间的分布和方向可预测性。本研究采用每日收盘价指数标准普尔绿色债券指数作为绿色债券市场的代表。在能源商品方面,作者使用标准普尔GSCI天然气现货、标准普尔GSCI生物燃料现货、标准普尔GSCI无铅汽油现货、标准普尔GSCI天然气现货、标准普尔GSCI布伦特原油现货、标准普尔GSCI WTI原油、欧佩克石油篮子价格、阿曼原油、迪拜原油现货、标准普尔GSCI取暖油现货、标准普尔全球清洁能源、美国墨西哥湾沿岸煤油和洛杉矶低硫碳水化合物柴油现货。从CQ相关结果来看,绿色债券与天然气之间总体上存在负向可预测性。作者发现,绿色债券与标普GSCI生物燃料现货、标普GSCI天然气原油现货、标普GSCI布伦特原油现货、标普GSCI WTI现货、欧佩克油篮子现货、阿曼原油现货、迪拜原油现货、标普GSCI取暖油现货、美国墨西哥湾煤油型喷气燃料现货价格和洛杉矶低硫碳水化合物柴油现货价格之间的方向性可预测性在正常市场条件下为负,在极端市场条件下为正。从分位数方法的非参数因果关系的结果显示了强有力的证据,在因果关系的不对称,在不同的分位数和市场之间的强烈变化。本文所记录的分位数时变依赖性和可预测性结果可以帮助具有不同投资目标和视野的市场参与者在波动的市场条件下采取更好的对冲策略和投资组合多样化,以帮助制定最优的政策措施。社会启示本研究结果将提升环保意识,并增加投资者对绿色债券市场的参与。此外,它允许企业机构通过发行绿色债券来履行其社会承诺。本文与以往的研究有几个不同之处。首先,作者纳入了广泛的能源商品,包括3个绿色债券指数和14个能源商品指数。其次,作者探讨了两个市场之间的依赖关系,特别是在COVID-19大流行期间。第三,作者在给定的数据集上应用了CQ和分位数因果关系方法。由于绿色和可持续金融市场正在急剧增长,世界正在向环境友好型实践转移,因此了解绿色债券对其他金融市场的影响至关重要。在这方面,该研究通过记录绿色债券与原油、天然气、汽油、煤油、柴油、原油、取暖油、生物燃料和其他能源商品之间的深入联系,为文献做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A cross-quantile correlation and causality-in-quantile analysis on the relationship between green investments and energy commodities during the COVID-19 pandemic period
Purpose This paper aims to examine the cross-quantile correlation and causality-in-quantiles between green investments and energy commodities during the outbreak of COVID-19. To be specific, the authors aim to address the following questions: Is there any distributional predictability among green bonds and energy commodities during COVID-19? Is there exist any directional predictability between green investments and energy commodities during the global pandemic? Can green bonds hedge the risk of energy commodities during a period of the financial crisis. Design/methodology/approach The authors use the nonparametric causality in quantile and cross-quantilogram (CQ) correlation approaches as the estimation techniques to investigate the distributional and directional predictability between green investments and energy commodities respectively using daily spot prices from January 1, 2020, to March 26, 2021. The study uses daily closing price indices S&P Green Bond Index as a representative of the green bond market. In the case of energy commodities, the authors use S&P GSCI Natural Gas Spot, S&P GSCI Biofuel Spot, S&P GSCI Unleaded Gasoline Spot, S&P GSCI Gas Oil Spot, S&P GSCI Brent Crude Spot, S&P GSCI WTI, OPEC Oil Basket Price, Crude Oil Oman, Crude Oil Dubai Cash, S&P GSCI Heating Oil Spot, S&P Global Clean Energy, US Gulf Coast Kerosene and Los Angeles Low Sulfur CARB Diesel Spot. Findings From the CQ correlation results, there exists an overall negative directional predictability between green bonds and natural gas. The authors find that the directional predictability between green bonds and S&P GSCI Biofuel Spot, S&P GSCI Gas Oil Spot, S&P GSCI Brent Crude Spot, S&P GSCI WTI Spot, OPEC Oil Basket Spot, Crude Oil Oman Spot, Crude Oil Dubai Cash Spot, S&P GSCI Heating Oil Spot, US Gulf Coast Kerosene-Type Jet Fuel Spot Price and Los Angeles Low Sulfur CARB Diesel Spot Price is negative during normal market conditions and positive during extreme market conditions. Results from the non-parametric causality in the quantile approach show strong evidence of asymmetry in causality across quantiles and strong variations across markets. Practical implications The quantile time-varying dependence and predictability results documented in this paper can help market participants with different investment targets and horizons adopt better hedging strategies and portfolio diversification to aid optimal policy measures during volatile market conditions. Social implications The outcome of this study will promote awareness regarding the environment and also increase investor’s participation in the green bond market. Further, it allows corporate institutions to fulfill their social commitment through the issuance of green bonds. Originality/value This paper differs from these previous studies in several aspects. First, the authors have included a wide range of energy commodities, comprising three green bond indices and 14 energy commodity indices. Second, the authors have explored the dependency between the two markets, particularly during COVID-19 pandemic. Third, the authors have applied CQ and causality-in-quantile methods on the given data set. Since the market of green and sustainable finance is growing drastically and the world is transmitting toward environment-friendly practices, it is essential and vital to understand the impact of green bonds on other financial markets. In this regard, the study contributes to the literature by documenting an in-depth connectedness between green bonds and crude oil, natural gas, petrol, kerosene, diesel, crude, heating oil, biofuels and other energy commodities.
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来源期刊
CiteScore
4.30
自引率
10.50%
发文量
43
期刊介绍: Topics addressed in the journal include: ■corporate finance, ■financial markets, ■money and banking, ■international finance and economics, ■investments, ■risk management, ■theory of the firm, ■competition policy, ■corporate governance.
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