A cross-quantile correlation and causality-in-quantile analysis on the relationship between green investments and energy commodities during the COVID-19 pandemic period

被引:3
作者
Sharma, Aarzoo [1 ]
Tiwari, Aviral Kumar [2 ]
Abakah, Emmanuel Joel Aikins [3 ]
Owusu, Freeman Brobbey [4 ]
机构
[1] CCS Univ, Dept Commerce & Management Studies, Meerut, India
[2] Indian Inst Management Bodh Gaya, Dept Econ & Finance, Gaya, India
[3] Univ Ghana, Business Sch, Dept Finance, Accra, Ghana
[4] Nottingham Trent Univ, Dept Accounting & Finance, Nottingham, England
关键词
Green bond; Energy commodity markets; Quantile dependence; Quantile predictability; G11; Q02; Q41; Q43; CONSISTENT NONPARAMETRIC TEST; TIME-SERIES; BONDS; PRICE; DIVERSIFICATION; PREDICTABILITY; OIL;
D O I
10.1108/SEF-02-2023-0070
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
PurposeThis 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/approachThe 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. FindingsFrom 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 implicationsThe 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 implicationsThe 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/valueThis 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.
引用
收藏
页码:478 / 501
页数:24
相关论文
共 45 条
  • [1] [Anonymous], 2020, A Joint Declaration on the Importance of Collaboration, Open Trade, and Innovation in Tackling COVID-19, DOI 10.1787/0C976158-EN
  • [2] Diversifier or more? Hedge and safe haven properties of green bonds during COVID-19
    Arif, Muhammad
    Naeem, Muhammad Abubakr
    Farid, Saqib
    Nepal, Rabindra
    Jamasb, Tooraj
    [J]. ENERGY POLICY, 2022, 168
  • [3] Does uncertainty move the gold price? New evidence from a nonparametric causality-in-quantiles test
    Balcilar, Mehmet
    Gupta, Rangan
    Pierdzioch, Christian
    [J]. RESOURCES POLICY, 2016, 49 : 74 - 80
  • [4] Does Economic Policy Uncertainty Predict Exchange Rate Returns and Volatility? Evidence from a Nonparametric Causality-in-Quantiles Test
    Balcilar, Mehmet
    Gupta, Rangan
    Kyei, Clement
    Wohar, Mark E.
    [J]. OPEN ECONOMIES REVIEW, 2016, 27 (02) : 229 - 250
  • [5] Benigno P., 2020, Monetary dialogue papers
  • [6] Dynamic nonlinear connectedness between the green bonds, clean energy, and stock price: the impact of the COVID-19 pandemic
    Chai, Shanglei
    Chu, Wenjun
    Zhang, Zhen
    Li, Zhilong
    Abedin, Mohammad Zoynul
    [J]. ANNALS OF OPERATIONS RESEARCH, 2022, 345 (2) : 1137 - 1164
  • [7] Quantile time-frequency price connectedness between green bond, green equity, sustainable investments and clean energy markets
    Chatziantoniou, Ioannis
    Abakah, Emmanuel Joel Aikins
    Gabauer, David
    Tiwari, Aviral Kumar
    [J]. JOURNAL OF CLEANER PRODUCTION, 2022, 361
  • [8] Twenty years of jumps in commodity markets
    Chevallier, Julien
    Ielpo, Florian
    [J]. INTERNATIONAL REVIEW OF APPLIED ECONOMICS, 2014, 28 (01) : 64 - 82
  • [9] DISTRIBUTION OF THE ESTIMATORS FOR AUTOREGRESSIVE TIME-SERIES WITH A UNIT ROOT
    DICKEY, DA
    FULLER, WA
    [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1979, 74 (366) : 427 - 431
  • [10] Striking oil: Another puzzle?
    Driesprong, Gerben
    Jacobsen, Ben
    Maat, Benjamin
    [J]. JOURNAL OF FINANCIAL ECONOMICS, 2008, 89 (02) : 307 - 327