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Extreme risk dependence and time-varying spillover between crude oil, commodity market and inflation in China

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  • Li, Houjian
  • Huang, Xinya
  • Guo, Lili

Abstract

The fluctuation of general commodity prices, particularly crude oil prices, exerts a substantial influence on the economic development of all countries. Based on the mean and quantile spillover index of time-varying parameter vector autoregressive (TVP-VAR), we measure the spillover effects among crude oil, commodity market, and inflation in China under normal and extreme conditions from April 2018 to January 2023. The results show the interdependence among crude oil, commodity markets, and inflation; however, the degree of correlation varies at different quantiles. Notably, the spillover index is significantly higher at the extreme quantile, indicating that extreme risks can easily affect the spillover effect among crude oil, commodity markets, and inflation. Meanwhile, the tail risk spillover effect among crude oil, commodity markets, and inflation exhibits asymmetry, indicating that the spillover effect is greater during downward market conditions than upward ones. Furthermore, oil prices serve as a significant provider of systemic risk, both in normal market conditions and during times of extreme risk. In most cases, oil prices transfer more risks to inflation and commodity markets, commodity markets transfer more risks to inflation, and the paired spillover effects between commodity markets fluctuate over time. Finally, our results hold significant implications for investors, market regulators, and policymakers.

Suggested Citation

  • Li, Houjian & Huang, Xinya & Guo, Lili, 2023. "Extreme risk dependence and time-varying spillover between crude oil, commodity market and inflation in China," Energy Economics, Elsevier, vol. 127(PB).
    • Handle: RePEc:eee:eneeco:v:127:y:2023:i:pb:s0140988323005881
    DOI: 10.1016/j.eneco.2023.107090
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    as
    1. Yukino Sakashita & Yasunori Yoshizaki, 2016. "The Effects of Oil Price Shocks on IIP and CPI in Emerging Countries," Economies, MDPI, vol. 4(4), pages 1-9, September.
    2. Andrew Ang & Geert Bekaert, 2002. "International Asset Allocation With Regime Shifts," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1137-1187.
    3. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    4. Joëts, Marc & Mignon, Valérie & Razafindrabe, Tovonony, 2017. "Does the volatility of commodity prices reflect macroeconomic uncertainty?," Energy Economics, Elsevier, vol. 68(C), pages 313-326.
    5. Katircioglu, Salih Turan & Sertoglu, Kamil & Candemir, Mehmet & Mercan, Mehmet, 2015. "Oil price movements and macroeconomic performance: Evidence from twenty-six OECD countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 257-270.
    6. Tiwari, Aviral Kumar & Aikins Abakah, Emmanuel Joel & Gabauer, David & Dwumfour, Richard Adjei, 2022. "Dynamic spillover effects among green bond, renewable energy stocks and carbon markets during COVID-19 pandemic: Implications for hedging and investments strategies," Global Finance Journal, Elsevier, vol. 51(C).
    7. Abbas, Syed Kanwar & Lan, Hao, 2020. "Commodity price pass-through and inflation regimes," Energy Economics, Elsevier, vol. 92(C).
    8. Liu, Min & Lee, Chien-Chiang, 2021. "Capturing the dynamics of the China crude oil futures: Markov switching, co-movement, and volatility forecasting," Energy Economics, Elsevier, vol. 103(C).
    9. Zhang, Yaojie & Ma, Feng & Wang, Yudong, 2019. "Forecasting crude oil prices with a large set of predictors: Can LASSO select powerful predictors?," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 97-117.
    10. Antonakakis, Nikolaos & Gabauer, David & Gupta, Rangan & Plakandaras, Vasilios, 2018. "Dynamic connectedness of uncertainty across developed economies: A time-varying approach," Economics Letters, Elsevier, vol. 166(C), pages 63-75.
    11. Atsushi Sekine & Takayuki Tsuruga, 2018. "Effects of commodity price shocks on inflation: a cross-country analysis," Oxford Economic Papers, Oxford University Press, vol. 70(4), pages 1108-1135.
    12. Chen, Yu-chin & Turnovsky, Stephen J. & Zivot, Eric, 2014. "Forecasting inflation using commodity price aggregates," Journal of Econometrics, Elsevier, vol. 183(1), pages 117-134.
    13. Tan, Xueping & Geng, Yong & Vivian, Andrew & Wang, Xinyu, 2021. "Measuring risk spillovers between oil and clean energy stocks: Evidence from a systematic framework," Resources Policy, Elsevier, vol. 74(C).
    14. Choi, Sangyup & Furceri, Davide & Loungani, Prakash & Mishra, Saurabh & Poplawski-Ribeiro, Marcos, 2018. "Oil prices and inflation dynamics: Evidence from advanced and developing economies," Journal of International Money and Finance, Elsevier, vol. 82(C), pages 71-96.
    15. López-Villavicencio, Antonia & Pourroy, Marc, 2019. "Inflation target and (a)symmetries in the oil price pass-through to inflation," Energy Economics, Elsevier, vol. 80(C), pages 860-875.
    16. Mensi, Walid & Rehman, Mobeen Ur & Vo, Xuan Vinh, 2021. "Risk spillovers and diversification between oil and non-ferrous metals during bear and bull market states," Resources Policy, Elsevier, vol. 72(C).
    17. Guo, Yangli & Ma, Feng & Li, Haibo & Lai, Xiaodong, 2022. "Oil price volatility predictability based on global economic conditions," International Review of Financial Analysis, Elsevier, vol. 82(C).
    18. Duc Hong Vo & Tan Ngoc Vu & Anh The Vo & Michael McAleer, 2019. "Modeling the Relationship between Crude Oil and Agricultural Commodity Prices," Energies, MDPI, vol. 12(7), pages 1-41, April.
    19. Koop, Gary & Korobilis, Dimitris, 2014. "A new index of financial conditions," European Economic Review, Elsevier, vol. 71(C), pages 101-116.
    20. Ahmadi, Maryam & Bashiri Behmiri, Niaz & Manera, Matteo, 2016. "How is volatility in commodity markets linked to oil price shocks?," Energy Economics, Elsevier, vol. 59(C), pages 11-23.
    21. Li, Jingpeng & Umar, Muhammad & Huo, Jiale, 2023. "The spillover effect between Chinese crude oil futures market and Chinese green energy stock market," Energy Economics, Elsevier, vol. 119(C).
    22. Ju, Keyi & Zhou, Dequn & Zhou, P. & Wu, Junmin, 2014. "Macroeconomic effects of oil price shocks in China: An empirical study based on Hilbert–Huang transform and event study," Applied Energy, Elsevier, vol. 136(C), pages 1053-1066.
    23. Su, Xianfang, 2020. "Measuring extreme risk spillovers across international stock markets: A quantile variance decomposition analysis," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    24. Hegerty, Scott W., 2016. "Commodity-price volatility and macroeconomic spillovers: Evidence from nine emerging markets," The North American Journal of Economics and Finance, Elsevier, vol. 35(C), pages 23-37.
    25. Zhang, Chuanguo & Tu, Xiaohua, 2016. "The effect of global oil price shocks on China's metal markets," Energy Policy, Elsevier, vol. 90(C), pages 131-139.
    26. Wen, Danyan & Wang, Gang-Jin & Ma, Chaoqun & Wang, Yudong, 2019. "Risk spillovers between oil and stock markets: A VAR for VaR analysis," Energy Economics, Elsevier, vol. 80(C), pages 524-535.
    27. Amiri, Hossein & Sayadi, Mohammad & Mamipour, Siab, 2021. "Oil Price Shocks and Macroeconomic Outcomes; Fresh Evidences from a scenario-based NK-DSGE analysis for oil-exporting countries," Resources Policy, Elsevier, vol. 74(C).
    28. 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).
    29. Liu, Zhenhua & Shi, Xunpeng & Zhai, Pengxiang & Wu, Shan & Ding, Zhihua & Zhou, Yuqin, 2021. "Tail risk connectedness in the oil-stock nexus: Evidence from a novel quantile spillover approach," Resources Policy, Elsevier, vol. 74(C).
    30. Amith Vikram Megaravalli & Gabriele Sampagnaro, 2018. "Macroeconomic indicators and their impact on stock markets in ASIAN 3: A pooled mean group approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 6(1), pages 1432450-143, January.
    31. Hung, Ngo Thai, 2021. "Oil prices and agricultural commodity markets: Evidence from pre and during COVID-19 outbreak," Resources Policy, Elsevier, vol. 73(C).
    32. Le, Thai-Ha & Le, Anh Tu & Le, Ha-Chi, 2021. "The historic oil price fluctuation during the Covid-19 pandemic: What are the causes?," Research in International Business and Finance, Elsevier, vol. 58(C).
    33. Salisu, Afees A. & Olaniran, Abeeb & Tchankam, Jean Paul, 2022. "Oil tail risk and the tail risk of the US Dollar exchange rates," Energy Economics, Elsevier, vol. 109(C).
    34. Dahl, Roy Endré & Oglend, Atle & Yahya, Muhammad, 2020. "Dynamics of volatility spillover in commodity markets: Linking crude oil to agriculture," Journal of Commodity Markets, Elsevier, vol. 20(C).
    35. Zhao, Jing, 2022. "Exploring the influence of the main factors on the crude oil price volatility: An analysis based on GARCH-MIDAS model with Lasso approach," Resources Policy, Elsevier, vol. 79(C).
    36. David L. McCollum & Jessica Jewell & Volker Krey & Morgan Bazilian & Marianne Fay & Keywan Riahi, 2016. "Quantifying uncertainties influencing the long-term impacts of oil prices on energy markets and carbon emissions," Nature Energy, Nature, vol. 1(7), pages 1-8, July.
    37. Golitsis, Petros & Gkasis, Pavlos & Bellos, Sotirios K., 2022. "Dynamic spillovers and linkages between gold, crude oil, S&P 500, and other economic and financial variables. Evidence from the USA," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    38. Lacheheb, Miloud & Sirag, Abdalla, 2019. "Oil price and inflation in Algeria: A nonlinear ARDL approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 73(C), pages 217-222.
    39. Togonidze, Sophio & Kočenda, Evžen, 2022. "Macroeconomic responses of emerging market economies to oil price shocks: An analysis by region and resource profile," Economic Systems, Elsevier, vol. 46(3).
    40. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    41. Álvarez, Luis J. & Hurtado, Samuel & Sánchez, Isabel & Thomas, Carlos, 2011. "The impact of oil price changes on Spanish and euro area consumer price inflation," Economic Modelling, Elsevier, vol. 28(1), pages 422-431.
    42. Cao, Guangxi & Xie, Wenhao, 2022. "Asymmetric dynamic spillover effect between cryptocurrency and China's financial market: Evidence from TVP-VAR based connectedness approach," Finance Research Letters, Elsevier, vol. 49(C).
    43. Wang, Lu & Ma, Feng & Niu, Tianjiao & He, Chengting, 2020. "Crude oil and BRICS stock markets under extreme shocks: New evidence," Economic Modelling, Elsevier, vol. 86(C), pages 54-68.
    44. Zakaria, Muhammad & Khiam, Shahzeb & Mahmood, Hamid, 2021. "Influence of oil prices on inflation in South Asia: Some new evidence," Resources Policy, Elsevier, vol. 71(C).
    45. Meng, Juan & Nie, He & Mo, Bin & Jiang, Yonghong, 2020. "Risk spillover effects from global crude oil market to China’s commodity sectors," Energy, Elsevier, vol. 202(C).
    46. Kang, Sang Hoon & McIver, Ron & Yoon, Seong-Min, 2017. "Dynamic spillover effects among crude oil, precious metal, and agricultural commodity futures markets," Energy Economics, Elsevier, vol. 62(C), pages 19-32.
    47. Anupam Dutta & Md Hasib Noor, 2017. "Oil and non-energy commodity markets: An empirical analysis of volatility spillovers and hedging effectiveness," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1324555-132, January.
    48. Reboredo, Juan C. & Ugolini, Andrea, 2016. "Quantile dependence of oil price movements and stock returns," Energy Economics, Elsevier, vol. 54(C), pages 33-49.
    49. Guhathakurta, Kousik & Dash, Saumya Ranjan & Maitra, Debasish, 2020. "Period specific volatility spillover based connectedness between oil and other commodity prices and their portfolio implications," Energy Economics, Elsevier, vol. 85(C).
    50. Dai, Zhifeng & Zhang, Xiaotong & Yin, Zhujia, 2023. "Extreme time-varying spillovers between high carbon emission stocks, green bond and crude oil: Evidence from a quantile-based analysis," Energy Economics, Elsevier, vol. 118(C).
    51. Chen, Jinyu & Liang, Zhipeng & Ding, Qian & Liu, Zhenhua, 2022. "Extreme spillovers among fossil energy, clean energy, and metals markets: Evidence from a quantile-based analysis," Energy Economics, Elsevier, vol. 107(C).
    52. Zhao, Xinwei & Mi, Xianhua & Ma, Chaoqun & Peng, Geng, 2023. "Measuring trade rule uncertainty and its impacts on the commodity market," Finance Research Letters, Elsevier, vol. 52(C).
    53. Zhang, Chuanguo & Liu, Feng & Yu, Danlin, 2018. "Dynamic jumps in global oil price and its impacts on China's bulk commodities," Energy Economics, Elsevier, vol. 70(C), pages 297-306.
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