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Spillover of energy commodities and inflation in G7 plus Chinese economies

Author

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  • Saeed, Asif
  • Chaudhry, Sajid M.
  • Arif, Ahmed
  • Ahmed, Rizwan

Abstract

We investigate the spillover trends of energy commodities and the Consumer Price Index (CPI) in the G-7 plus China by using the Continuous Wavelet Transform (CWT) methodology. Our analysis spans from January 2016 to October 2022, with a division into pre and post-COVID-19 periods to assess the impact of this significant event. The CWT graphs demonstrate distinct levels of inflation across the countries under scrutiny, highlighting remarkable disparities in CPI and energy commodities in both the pre and post-COVID-19 eras, particularly for Canada, China, and the United States. The Wavelet Transform Coherence (WTC) analysis reveals noteworthy relationships across all three energy commodities. These findings hold substantial policy implications for macroeconomic goals and domestic policies such as monetary and fiscal measures. The variations noted in CPI and energy commodities before and after the COVID-19 era emphasize the need for policy discussions to address the implications for macroeconomic stability. Policymakers can leverage our study to gain a better understanding of the relationship between CPI and energy commodities, considering both internal and external macroeconomic conditions.

Suggested Citation

  • Saeed, Asif & Chaudhry, Sajid M. & Arif, Ahmed & Ahmed, Rizwan, 2023. "Spillover of energy commodities and inflation in G7 plus Chinese economies," Energy Economics, Elsevier, vol. 127(PA).
  • Handle: RePEc:eee:eneeco:v:127:y:2023:i:pa:s0140988323005273
    DOI: 10.1016/j.eneco.2023.107029
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    as
    1. Ing-Haw Cheng & Wei Xiong, 2014. "Financialization of Commodity Markets," Annual Review of Financial Economics, Annual Reviews, vol. 6(1), pages 419-441, December.
    2. Vacha, Lukas & Barunik, Jozef, 2012. "Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis," Energy Economics, Elsevier, vol. 34(1), pages 241-247.
    3. Chevallier, Julien & Khuong Nguyen, Duc & Carlos Reboredo, Juan, 2019. "A conditional dependence approach to CO2-energy price relationships," Energy Economics, Elsevier, vol. 81(C), pages 812-821.
    4. Samuel Bentolila & Marcel Jansen & Gabriel Jiménez, 2018. "When Credit Dries Up: Job Losses in the Great Recession," Journal of the European Economic Association, European Economic Association, vol. 16(3), pages 650-695.
    5. Zhang, Xun & Yu, Lean & Wang, Shouyang & Lai, Kin Keung, 2009. "Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method," Energy Economics, Elsevier, vol. 31(5), pages 768-778, September.
    6. Mariya Gubareva & Maria Rosa Borges, 2022. "Governed by the cycle: interest rate sensitivity of emerging market corporate debt," Annals of Operations Research, Springer, vol. 313(2), pages 991-1019, June.
    7. Amaya, Diego & Christoffersen, Peter & Jacobs, Kris & Vasquez, Aurelio, 2015. "Does realized skewness predict the cross-section of equity returns?," Journal of Financial Economics, Elsevier, vol. 118(1), pages 135-167.
    8. Sahir, Mukhtar H. & Qureshi, Arshad H., 2007. "Specific concerns of Pakistan in the context of energy security issues and geopolitics of the region," Energy Policy, Elsevier, vol. 35(4), pages 2031-2037, April.
    9. Chevallier, Julien, 2011. "Macroeconomics, finance, commodities: Interactions with carbon markets in a data-rich model," Economic Modelling, Elsevier, vol. 28(1-2), pages 557-567, January.
    10. Garzon, Antonio J. & Hierro, Luis A., 2021. "Asymmetries in the transmission of oil price shocks to inflation in the eurozone," Economic Modelling, Elsevier, vol. 105(C).
    11. Zhou, Yuqin & Wu, Shan & Zhang, Zeyi, 2022. "Multidimensional risk spillovers among carbon, energy and nonferrous metals markets: Evidence from the quantile VAR network," Energy Economics, Elsevier, vol. 114(C).
    12. Vicente Medina & Angel Pardo, 2013. "Is the EUA a new asset class?," Quantitative Finance, Taylor & Francis Journals, vol. 13(4), pages 637-653, March.
    13. Huang, Shupei & An, Haizhong & Gao, Xiangyun & Huang, Xuan, 2016. "Time–frequency featured co-movement between the stock and prices of crude oil and gold," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 985-995.
    14. Jammazi, Rania & Lahiani, Amine & Nguyen, Duc Khuong, 2015. "A wavelet-based nonlinear ARDL model for assessing the exchange rate pass-through to crude oil prices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 173-187.
    15. Laurence M. Ball & Daniel Leigh & Prachi Mishra, 2022. "Understanding U.S. Inflation During the COVID Era," NBER Working Papers 30613, National Bureau of Economic Research, Inc.
    16. Yao, Shujie & He, Hongbo & Chen, Shou & Ou, Jinghua, 2018. "Financial liberalization and cross-border market integration: Evidence from China's stock market," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 220-245.
    17. Xinyi Hu & Antoine Flahault & Alexander Temerev & Liudmila Rozanova, 2021. "The Progression of COVID-19 and the Government Response in China," IJERPH, MDPI, vol. 18(6), pages 1-15, March.
    18. Laurence Ball & Daniel Leigh & Prachi Mishra, 2022. "Understanding US Inflation during the COVID-19 Era," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 53(2 (Fall)), pages 1-80.
    19. Yu, Lean & Li, Jingjing & Tang, Ling & Wang, Shuai, 2015. "Linear and nonlinear Granger causality investigation between carbon market and crude oil market: A multi-scale approach," Energy Economics, Elsevier, vol. 51(C), pages 300-311.
    20. Sadorsky, Perry, 2012. "Correlations and volatility spillovers between oil prices and the stock prices of clean energy and technology companies," Energy Economics, Elsevier, vol. 34(1), pages 248-255.
    21. Emmanuel Apergis & Nicholas Apergis, 2021. "The impact of COVID-19 on economic growth: evidence from a Bayesian Panel Vector Autoregressive (BPVAR) model," Applied Economics, Taylor & Francis Journals, vol. 53(58), pages 6739-6751, December.
    22. Emilio Ghiani & Marco Galici & Mario Mureddu & Fabrizio Pilo, 2020. "Impact on Electricity Consumption and Market Pricing of Energy and Ancillary Services during Pandemic of COVID-19 in Italy," Energies, MDPI, vol. 13(13), pages 1-19, July.
    23. Barua, Suborna, 2020. "Understanding Coronanomics: The economic implications of the coronavirus (COVID-19) pandemic," MPRA Paper 99693, University Library of Munich, Germany.
    24. Salisu, Afees A. & Ebuh, Godday U. & Usman, Nuruddeen, 2020. "Revisiting oil-stock nexus during COVID-19 pandemic: Some preliminary results," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 280-294.
    25. Scott R Baker & Robert A Farrokhnia & Steffen Meyer & Michaela Pagel & Constantine Yannelis & Jeffrey Pontiff, 0. "How Does Household Spending Respond to an Epidemic? Consumption during the 2020 COVID-19 Pandemic," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 834-862.
    26. Ciccarelli, Matteo & García, Juan Angel, 2015. "International spillovers in inflation expectations," Working Paper Series 1857, European Central Bank.
    27. Khandokar Istiak & Aviral Kumar Tiwari & Humaira Husain & Kazi Sohag, 2021. "The Spillover of Inflation among the G7 Countries," JRFM, MDPI, vol. 14(8), pages 1-20, August.
    28. Reboredo, Juan C. & Rivera-Castro, Miguel A., 2014. "Wavelet-based evidence of the impact of oil prices on stock returns," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 145-176.
    29. Niu, Zibo & Liu, Yuanyuan & Gao, Wang & Zhang, Hongwei, 2021. "The role of coronavirus news in the volatility forecasting of crude oil futures markets: Evidence from China," Resources Policy, Elsevier, vol. 73(C).
    30. Fredj Jawadi & Mohamed Sellami, 2022. "On the effect of oil price in the context of Covid‐19," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 3924-3933, October.
    31. Firouzi, Shahrokh & Wang, Xiangning, 2019. "A comparative study of exchange rates and order flow based on wavelet transform coherence and cross wavelet transform," Economic Modelling, Elsevier, vol. 82(C), pages 42-56.
    32. repec:dau:papers:123456789/4222 is not listed on IDEAS
    33. Akoum, Ibrahim & Graham, Michael & Kivihaho, Jarno & Nikkinen, Jussi & Omran, Mohammed, 2012. "Co-movement of oil and stock prices in the GCC region: A wavelet analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(4), pages 385-394.
    34. Dutta, Anupam & Bouri, Elie & Noor, Md Hasib, 2018. "Return and volatility linkages between CO2 emission and clean energy stock prices," Energy, Elsevier, vol. 164(C), pages 803-810.
    35. Mensi, Walid & Rehman, Mobeen Ur & Vo, Xuan Vinh, 2021. "Dynamic frequency relationships and volatility spillovers in natural gas, crude oil, gas oil, gasoline, and heating oil markets: Implications for portfolio management," Resources Policy, Elsevier, vol. 73(C).
    36. Naccache, Théo, 2011. "Oil price cycles and wavelets," Energy Economics, Elsevier, vol. 33(2), pages 338-352, March.
    37. repec:dau:papers:123456789/5111 is not listed on IDEAS
    38. Mariya Gubareva & Zaghum Umar & Tamara Teplova & Dang K. Tran, 2023. "Decoupling Between the Energy and Semiconductor Sectors During the Pandemic: New Evidence from Wavelet Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 59(6), pages 1707-1719, May.
    39. Tobias Eckernkemper, 2018. "Modeling Systemic Risk: Time-Varying Tail Dependence When Forecasting Marginal Expected Shortfall," Journal of Financial Econometrics, Oxford University Press, vol. 16(1), pages 63-117.
    40. Samuel Bentolila & Marcel Jansen & Gabriel Jiménez, 2018. "Erratum: When Credit Dries Up: Job Losses in the Great Recession," Journal of the European Economic Association, European Economic Association, vol. 16(2), pages 560-560.
    41. Luís Aguiar-Conraria & Maria Joana Soares, 2014. "The Continuous Wavelet Transform: Moving Beyond Uni- And Bivariate Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 344-375, April.
    42. Chen, Yufeng & Wang, Chuwen & Zhu, Zhitao, 2022. "Toward the integration of European gas futures market under COVID-19 shock: A quantile connectedness approach," Energy Economics, Elsevier, vol. 114(C).
    43. Gregor Bäurle & Matthias Gubler & Diego R. Känzig, 2021. "International Inflation Spillovers: The Role of Different Shocks," International Journal of Central Banking, International Journal of Central Banking, vol. 17(1), pages 191-230, March.
    44. Feng, Sida & Huang, Shupei & Qi, Yabin & Liu, Xueyong & Sun, Qingru & Wen, Shaobo, 2018. "Network features of sector indexes spillover effects in China: A multi-scale view," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 461-473.
    45. Tsutomu Watanabe, 2020. "The Responses of Consumption and Prices in Japan to the COVID-19 Crisis and the Tohoku Earthquake," Working Papers on Central Bank Communication 020, University of Tokyo, Graduate School of Economics.
    46. Ji, Qiang & Bouri, Elie & Roubaud, David & Shahzad, Syed Jawad Hussain, 2018. "Risk spillover between energy and agricultural commodity markets: A dependence-switching CoVaR-copula model," Energy Economics, Elsevier, vol. 75(C), pages 14-27.
    47. Sharif Md. Raihan & Yi Wen & Bing Zeng, 2005. "Wavelet: a new tool for business cycle analysis," Working Papers 2005-050, Federal Reserve Bank of St. Louis.
    48. Maria Mansanet-Bataller & Angel Pardo & Enric Valor, 2007. "CO2 Prices, Energy and Weather," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 73-92.
    49. Alam, Md. Samsul & Shahzad, Syed Jawad Hussain & Ferrer, Román, 2019. "Causal flows between oil and forex markets using high-frequency data: Asymmetries from good and bad volatility," Energy Economics, Elsevier, vol. 84(C).
    50. Yanguas Parra, Paola & Hauenstein, Christian & Oei, Pao-Yu, 2021. "The death valley of coal – Modelling COVID-19 recovery scenarios for steam coal markets," Applied Energy, Elsevier, vol. 288(C).
    51. Ahmed Arif & Asif Saeed & Umer Farooq, 2022. "The behaviour of forex market during the first and second wave of COVID-19: a wavelet analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 29(19), pages 1799-1803, November.
    52. Dai, Xingyu & Li, Matthew C. & Xiao, Ling & Wang, Qunwei, 2022. "COVID-19 and China commodity price jump behavior: An information spillover and wavelet coherency analysis," Resources Policy, Elsevier, vol. 79(C).
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    More about this item

    Keywords

    Inflation; Oil shock; Energy intensity; International financial markets; Wavelet analysis;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General

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