Information spillover and market connectedness: multi-scale quantile-on-quantile analysis of the crude oil and carbon markets

References

• Aatola, P., M. Ollikainen, and A. Toppinen. 2003. “Price Determination in the EU ETS Market: Theory and Econometric Analysis with Market Fundamentals.” Energy Economics 36: 380–395. doi:10.1016/j.eneco.2012.09.009.
   Web of Science ®Google Scholar
• Adams, S., F. Adedoyin, E. Olaniran, and F. V. Bekun. 2020. “Energy Consumption, Economic Policy Uncertainty and Carbon Emissions; Causality Evidence from Resource Rich Economies.” Economic Analysis and Policy 68: 179–190. doi:10.1016/j.eap.2020.09.012.
   Web of Science ®Google Scholar
• Alberola, E., J. Chevallier, and B. Chèze. 2008. “Price Drivers and Structural Breaks in European Carbon Prices 2005–2007.” Energy Policy 36 (2): 787–797. doi:10.1016/j.enpol.2007.10.029.
   Web of Science ®Google Scholar
• Boubaker, H., and S. A. Raza. 2017. “A Wavelet Analysis of Mean and Volatility Spillovers Between Oil and BRICS Stock Markets.” Energy Economics 64: 105–117. doi:10.1016/j.eneco.2017.01.026.
   Web of Science ®Google Scholar
• Bouri, E., R. Gupta, A. K. Tiwari, and D. Roubaud. 2017. “Does Bitcoin Hedge Global Uncertainty? Evidence from Wavelet-Based Quantile-in-Quantile Regressions.” Finance Research Letters 23: 87–95. doi:10.1016/j.frl.2017.02.009.
   Web of Science ®Google Scholar
• BP. 2020. “BP Statistical Review of World Energy 2020.” https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy-economics/statistical-review/bp-stats-review-2020-full-report.pdf
   Google Scholar
• Bredin, D., and C. Muckley. 2011. “An Emerging Equilibrium in the EU Emissions Trading Scheme.” Energy Economics 33 (2): 353–362. doi:10.1016/j.eneco.2010.06.009.
   Web of Science ®Google Scholar
• Chevallier, J., D. K. Nguyen, and J. C. Reboredo. 2019. “A Conditional Dependence Approach to Co2-Energy Price Relationships.” Energy Economics 81: 812–821. doi:10.1016/j.eneco.2019.05.010.
   Web of Science ®Google Scholar
• Creti, A., P. A. Jouvet, and V. Mignon. 2012. “Carbon Price Drivers: Phase I versus Phase II Equilibrium?” Energy Economics 34 (1): 327–334. doi:10.1016/j.eneco.2011.11.001.
   Web of Science ®Google Scholar
• Das, D., and M. Kannadhasan. 2018. “Do Global Factors Impact Bitcoin Prices? Evidence from Wavelet Approach.” Journal of Economic Research 23: 227–264.
   Google Scholar
• Dong, K., G. Hochman, and G. R. Timilsina. 2020b. “Do Drivers of Co2 Emission Growth Alter Overtime and by the Stage of Economic Development?” Energy Policy 140: 111420. doi:10.1016/j.enpol.2020.111420.
   Web of Science ®Google Scholar
• Dong, K., X. Dong, and Q. Jiang. 2020a. “How Renewable Energy Consumption Lower Global Co2 Emissions? Evidence from Countries with Different Income Levels.” The World Economy 43 (6): 1665–1698. doi:10.1111/twec.12898.
   Web of Science ®Google Scholar
• Dong, K., Y. Han, Y. Dou, and M. Shahbaz. 2021. “Moving Toward Carbon Neutrality: Assessing Natural Gas Import Security and Its Impact on CO2 Emissions.” Sustainable Development 1–20. doi:10.1002/sd.2270.
   Web of Science ®Google Scholar
• Dou, Y., Y. Li, K. Dong, and X. Ren. 2022. “Dynamic Linkages Between Economic Policy Uncertainty and the Carbon Futures Market: Does Covid-19 Pandemic Matter?” Resources Policy 75: 102455. doi:10.1016/j.resourpol.2021.102455.
   Web of Science ®Google Scholar
• Duan, K., X. Ren, Y. Shi, T. Mishra, and C. Yan. 2021. “The Marginal Impacts of Energy Prices on Carbon Price Variations: Evidence from a Quantile-on-Quantile Approach.” Energy Economics 95: 105131. doi:10.1016/j.eneco.2021.105131.
   Web of Science ®Google Scholar
• Fasanya, I. O., J. A. Oliyide, O. B. Adekoya, and T. Agbatogun. 2021. “How Does Economic Policy Uncertainty Connect with the Dynamic Spillovers Between Precious Metals and Bitcoin Markets?” Resources Policy 72: 102077. doi:10.1016/j.resourpol.2021.102077.
   Web of Science ®Google Scholar
• Granger, C. W. J. 1969. “Investigating Causal Relations by Econometric Models and Cross-Spectral Methods.” Econometrica 37 (3): 424–438. doi:10.2307/1912791.
   Web of Science ®Google Scholar
• Hamdi, B., M. Aloui, F. Alqahtani, and A. Tiwari. 2019. “Relationship Between the Oil Price Volatility and Sectoral Stock Markets in Oil-Exporting Economies: Evidence from Wavelet Nonlinear Denoised Based Quantile and Granger-Causality Analysis.” Energy Economics 80: 536–552. doi:10.1016/j.eneco.2018.12.021.
   Web of Science ®Google Scholar
• Hammoudeh, S., A. Lahiani, D. K. Nguyen, and R. M. Sousa. 2015. “An Empirical Analysis of Energy Cost Pass-Through to Co2 Emission Prices.” Energy Economics 49: 149–156. doi:10.1016/j.eneco.2015.02.013.
   Web of Science ®Google Scholar
• Hammoudeh, S., D. K. Nguyen, and R. M. Sousa. 2014. “Energy Prices and Co2 Emission Allowance Prices: A Quantile Regression Approach.” Energy Policy 70: 201–206. doi:10.1016/j.enpol.2014.03.026.
   Web of Science ®Google Scholar
• IEA. 2019. “International Energy Agency.” Global Energy and CO₂ Status Report. https://www.iea.org/reports/global-energy-co2-status-report-2019
   Google Scholar
• Jena, S. K., A. K. Tiwari, S. Hammoudeh, and D. Roubaud. 2019. “Distributional Predictability Between Commodity Spot and Futures: Evidence from Nonparametric Causality-in-Quantiles Tests.” Energy Economics 78: 615–628. doi:10.1016/j.eneco.2018.11.013.
   Web of Science ®Google Scholar
• Jeong, K., W. K. Härdle, and S. Song. 2012. “A Consistent Nonparametric Test for Causality in Quantile.” Econometric Theory 28 (4): 861–887. doi:10.1017/S0266466611000685.
   Web of Science ®Google Scholar
• Ji, Q., B. Y. Liu, H. Nehler, and G. S. Uddin. 2018. “Uncertainties and Extreme Risk Spillover in the Energy Markets: A Time-Varying Copula-Based CoVar Approach.” Energy Economics 76: 115–126. doi:10.1016/j.eneco.2018.10.010.
   Web of Science ®Google Scholar
• Khalfaoui, R., M. Boutahar, and H. Boubaker. 2015. “Analyzing Volatility Spillovers and Hedging Between Oil and Stock Markets: Evidence from Wavelet Analysis.” Energy Economics 49: 540–549. doi:10.1016/j.eneco.2015.03.023.
   Web of Science ®Google Scholar
• Koch, N. 2014. “Dynamic Linkages Among Carbon, Energy and Financial Markets: A Smooth Transition Approach.” Applied Economics 46 (7): 715–729. doi:10.1080/00036846.2013.854301.
   Web of Science ®Google Scholar
• Li, R., S. Li, D. Yuan, and H. Zhu. 2021. “Investor Attention and Cryptocurrency: Evidence from Wavelet-Based Quantile Granger Causality Analysis.” Research in International Business and Finance 56: 101389. doi:10.1016/j.ribaf.2021.101389.
   Web of Science ®Google Scholar
• Liu, H. H., and Y. C. Chen. 2013. “A Study on the Volatility Spillovers, Long Memory Effects and Interactions Between Carbon and Energy Markets: The Impacts of Extreme Weather.” Economic Modelling 35: 840–855. doi:10.1016/j.econmod.2013.08.007.
   Web of Science ®Google Scholar
• Liu, H., and L. Shen. 2020. “Forecasting Carbon Price Using Empirical Wavelet Transform and Gated Recurrent Unit Neural Network.” Carbon Management 11 (1): 25–37. doi:10.1080/17583004.2019.1686930.
   Web of Science ®Google Scholar
• Mansanet-Bataller, M., A. Pardo, and E. Valor. 2007. “Co2 Prices, Energy and Weather.” The Energy Journal 28 (3): 73–92. doi:10.5547/ISSN0195-6574-EJ-Vol28-No3-5.
   Web of Science ®Google Scholar
• Mei, D., Q. Zeng, Y. Zhang, and W. Hou. 2018. “Does US Economic Policy Uncertainty Matter for European Stock Markets Volatility?” Physica A: Statistical Mechanics and Its Applications 512: 215–221. doi:10.1016/j.physa.2018.08.019.
   Web of Science ®Google Scholar
• Mizrach, B., and Y. Otsubo. 2014. “The Market Microstructure of the European Climate Exchange.” Journal of Banking & Finance 39: 107–116. doi:10.1016/j.jbankfin.2013.11.001.
   Web of Science ®Google Scholar
• Peng, C., H. Zhu, Y. Guo, and X. Chen. 2018. “Risk Spillover of International Crude Oil to China’s Firms: Evidence from Granger Causality Across Quantile.” Energy Economics 72: 188–199. doi:10.1016/j.eneco.2018.04.007.
   Web of Science ®Google Scholar
• Percival, D. B., and A. T. Walden. 2000. Wavelet Methods for Time Series Analysis. 4 vols. London, UK: Cambridge University Press. doi:10.1017/CBO9780511841040.
   Google Scholar
• Reboredo, J. C. 2013. “Modeling EU Allowances and Oil Market Interdependence. Implications for Portfolio Management.” Energy Economics 36: 471–480. doi:10.1016/j.eneco.2012.10.004.
   Web of Science ®Google Scholar
• Reboredo, J. C. 2014. “Volatility Spillovers Between the Oil Market and the European Union Carbon Emission Market.” Economic Modelling 36: 229–234. doi:10.1016/j.econmod.2013.09.039.
   Web of Science ®Google Scholar
• Rittler, D. 2012. “Price Discovery and Volatility Spillovers in the European Union Emissions Trading Scheme: A High-Frequency Analysis.” Journal of Banking & Finance 36 (3): 774–785. doi:10.1016/j.jbankfin.2011.09.009.
   Web of Science ®Google Scholar
• Sim, N., and H. Zhou. 2015. “Oil Prices, US Stock Return, and the Dependence Between Their Quantiles.” Journal of Banking & Finance 55: 1–8. doi:10.1016/j.jbankfin.2015.01.013.
   Web of Science ®Google Scholar
• Sousa, R., L. Aguiar-Conraria, and M. J. Soares. 2014. “Carbon Financial Markets: A Time–frequency Analysis of Co2 Prices.” Physica A: Statistical Mechanics and Its Applications 414: 118–127. doi:10.1016/j.physa.2014.06.058.
   Web of Science ®Google Scholar
• Subramaniam, N., D. Wahyuni, B. J. Cooper, P. Leung, and G. Wines. 2015. “Integration of Carbon Risks and Opportunities in Enterprise Risk Management Systems: Evidence from Australian Firms.” Journal of Cleaner Production 96: 407–417. doi:10.1016/j.jclepro.2014.02.013.
   Web of Science ®Google Scholar
• Tan, X. P., and X. Y. Wang. 2017. “Dependence Changes Between the Carbon Price and Its Fundamentals: A Quantile Regression Approach.” Applied Energy 190: 306–325. doi:10.1016/j.apenergy.2016.12.116.
   Web of Science ®Google Scholar
• Thema, J., F. Suerkemper, K. Grave, and A. Amelung. 2013. “The Impact of Electricity Demand Reduction Policies on the EU-ETS: Modelling Electricity and Carbon Prices and the Effect on Industrial Competitiveness.” Energy Policy 60: 656–666. doi:10.1016/j.enpol.2013.04.028.
   Web of Science ®Google Scholar
• Tiwari, A. K., Z. Mukherjee, R. Gupta, and M. Balcilar. 2019. “A Wavelet Analysis of the Relationship Between Oil and Natural Gas Prices.” Resources Policy 60: 118–124. doi:10.1016/j.resourpol.2018.11.020.
   Web of Science ®Google Scholar
• Troster, V. 2018. “Testing for Granger-Causality in Quantiles.” Econometric Reviews 37 (8): 850–866. doi:10.1080/07474938.2016.1172400.
   Web of Science ®Google Scholar
• Troster, V., M. Shahbaz, and G. S. Uddin. 2018. “Renewable Energy, Oil Prices, and Economic Activity: A Granger-Causality in Quantiles Analysis.” Energy Economics 70: 440–452. doi:10.1016/j.eneco.2018.01.029.
   Web of Science ®Google Scholar
• Wang, Y., and Z. Guo. 2018. ”The dynamic spillover between carbon and energy markets: New evidence.” Energy 149: 24–33. doi:10.1016/j.energy.2018.01.145.
   Web of Science ®Google Scholar
• Yu, L., J. Li, and L. Tang. 2015a. “Dynamic Volatility Spillover Effect Analysis Between Carbon Market and Crude Oil Market: A DCC-ICSS Approach.” International Journal of Global Energy Issues 38 (4–6): 242–256. doi:10.1504/IJGEI.2015.070265.
   Google Scholar
• Yu, L., J. Li, L. Tang, and S. Wang. 2015b. “Linear and Nonlinear Granger Causality Investigation Between Carbon Market and Crude Oil Market: A Multi-Scale Approach.” Energy Economics 51: 300–311. doi:10.1016/j.eneco.2015.07.005.
   Web of Science ®Google Scholar
• Zhang, Y. J., and X. X. Yan. 2020. “The Impact of US Economic Policy Uncertainty on WTI Crude Oil Returns in Different Time and Frequency Domains.” International Review of Economics & Finance 69: 750–768. doi:10.1016/j.iref.2020.04.001.
   Web of Science ®Google Scholar
• Zhang, Y. J., and Y. F. Sun. 2016. “The Dynamic Volatility Spillover Between European Carbon Trading Market and Fossil Energy Market.” Journal of Cleaner Production 112: 2654–2663. doi:10.1016/j.jclepro.2015.09.118.
   Web of Science ®Google Scholar
• Zhang, Y. J., and Y. M. Wei. 2010. “An Overview of Current Research on EU ETS: Evidence from Its Operating Mechanism and Economic Effect.” Applied Energy 87 (6): 1804–1814. doi:10.1016/j.apenergy.2009.12.019.
   Web of Science ®Google Scholar
• Zhou, Z., Z. Fu, Y. Jiang, X. Zeng, and L. Lin. 2020. “Can Economic Policy Uncertainty Predict Exchange Rate Volatility? New Evidence from the GARCH-MIDAS Model.” Finance Research Letters 34: 101258. doi:10.1016/j.frl.2019.08.006.
   Web of Science ®Google Scholar