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The effect of global oil price shocks on China's metal markets

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  • Zhang, Chuanguo
  • Tu, Xiaohua

Abstract

This paper investigated the impacts of global oil price shocks on the whole metal market and two typical metal markets: copper and aluminum. We applied the autoregressive conditional jump intensity (ARJI) model, combining with the generalized conditional heteroscedasticity (GRACH) method, to describe the volatility process and jump behavior in the global oil market. We separated the oil price shocks into positive and negative parts, to analyze whether oil price volatility had symmetric impacts on China’s metal markets. We further used the likelihood ratio test to examine the symmetric effect of oil price shocks. In addition, we considered the jump behavior in oil prices as an input factor to investigate how China’s metal markets are affected when jumps occur in the global oil market, in contrast to the existing research paying little attention to this issue. Our results indicate that crude oil price shocks have significant impacts on China's metal markets and the impacts are symmetric. When compared with aluminum, copper is more easily affected by oil price shocks.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:enepol:v:90:y:2016:i:c:p:131-139
    DOI: 10.1016/j.enpol.2015.12.012
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    as
    1. Crompton, Paul & Wu, Yanrui, 2005. "Energy consumption in China: past trends and future directions," Energy Economics, Elsevier, vol. 27(1), pages 195-208, January.
    2. Cheong, Chin Wen, 2009. "Modeling and forecasting crude oil markets using ARCH-type models," Energy Policy, Elsevier, vol. 37(6), pages 2346-2355, June.
    3. Bashar, Omar H.M.N. & Wadud, I.K.M. Mokhtarul & Ali Ahmed, Huson Joher, 2013. "Oil price uncertainty, monetary policy and the macroeconomy: The Canadian perspective," Economic Modelling, Elsevier, vol. 35(C), pages 249-259.
    4. Zhang, Chuanguo & Chen, Xiaoqing, 2011. "The impact of global oil price shocks on China’s stock returns: Evidence from the ARJI(-ht)-EGARCH model," Energy, Elsevier, vol. 36(11), pages 6627-6633.
    5. Hammoudeh, Shawkat & Dibooglu, Sel & Aleisa, Eisa, 2004. "Relationships among U.S. oil prices and oil industry equity indices," International Review of Economics & Finance, Elsevier, vol. 13(4), pages 427-453.
    6. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    7. Gronwald, Marc, 2012. "A characterization of oil price behavior — Evidence from jump models," Energy Economics, Elsevier, vol. 34(5), pages 1310-1317.
    8. Cologni, Alessandro & Manera, Matteo, 2008. "Oil prices, inflation and interest rates in a structural cointegrated VAR model for the G-7 countries," Energy Economics, Elsevier, vol. 30(3), pages 856-888, May.
    9. Jain, Anshul & Ghosh, Sajal, 2013. "Dynamics of global oil prices, exchange rate and precious metal prices in India," Resources Policy, Elsevier, vol. 38(1), pages 88-93.
    10. Du, Xiaodong & Yu, Cindy L. & Hayes, Dermot J., 2011. "Speculation and volatility spillover in the crude oil and agricultural commodity markets: A Bayesian analysis," Energy Economics, Elsevier, vol. 33(3), pages 497-503, May.
    11. Baffes, John, 2007. "Oil spills on other commodities," Resources Policy, Elsevier, vol. 32(3), pages 126-134, September.
    12. Brown, Stephen P. A. & Yucel, Mine K., 2002. "Energy prices and aggregate economic activity: an interpretative survey," The Quarterly Review of Economics and Finance, Elsevier, vol. 42(2), pages 193-208.
    13. Wang, Xiao & Zhang, Chuanguo, 2014. "The impacts of global oil price shocks on China׳s fundamental industries," Energy Policy, Elsevier, vol. 68(C), pages 394-402.
    14. AydIn, Levent & Acar, Mustafa, 2011. "Economic impact of oil price shocks on the Turkish economy in the coming decades: A dynamic CGE analysis," Energy Policy, Elsevier, vol. 39(3), pages 1722-1731, March.
    15. Scholtens, Bert & Yurtsever, Cenk, 2012. "Oil price shocks and European industries," Energy Economics, Elsevier, vol. 34(4), pages 1187-1195.
    16. Hammoudeh, Shawkat & Yuan, Yuan, 2008. "Metal volatility in presence of oil and interest rate shocks," Energy Economics, Elsevier, vol. 30(2), pages 606-620, March.
    17. Mork, Knut Anton, 1989. "Oil and Macroeconomy When Prices Go Up and Down: An Extension of Hamilton's Results," Journal of Political Economy, University of Chicago Press, vol. 97(3), pages 740-744, June.
    18. Zhang, Chuanguo & Chen, Xiaoqing, 2014. "The impact of global oil price shocks on China’s bulk commodity markets and fundamental industries," Energy Policy, Elsevier, vol. 66(C), pages 32-41.
    19. Chan, Wing H & Maheu, John M, 2002. "Conditional Jump Dynamics in Stock Market Returns," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 377-389, July.
    20. Soytas, Ugur & Sari, Ramazan & Hammoudeh, Shawkat & Hacihasanoglu, Erk, 2009. "World oil prices, precious metal prices and macroeconomy in Turkey," Energy Policy, Elsevier, vol. 37(12), pages 5557-5566, December.
    21. Lescaroux, François, 2009. "On the excess co-movement of commodity prices--A note about the role of fundamental factors in short-run dynamics," Energy Policy, Elsevier, vol. 37(10), pages 3906-3913, October.
    22. Arouri, Mohamed El Hedi & Jouini, Jamel & Nguyen, Duc Khuong, 2012. "On the impacts of oil price fluctuations on European equity markets: Volatility spillover and hedging effectiveness," Energy Economics, Elsevier, vol. 34(2), pages 611-617.
    23. Jiménez-Rodríguez, Rebeca, 2008. "The impact of oil price shocks: Evidence from the industries of six OECD countries," Energy Economics, Elsevier, vol. 30(6), pages 3095-3108, November.
    24. Hamilton, James D, 1983. "Oil and the Macroeconomy since World War II," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 228-248, April.
    25. Chang, Hsiao-Fen & Huang, Liang-Chou & Chin, Ming-Chin, 2013. "Interactive relationships between crude oil prices, gold prices, and the NT–US dollar exchange rate—A Taiwan study," Energy Policy, Elsevier, vol. 63(C), pages 441-448.
    26. Lin, Boqiang & Liu, Xia, 2013. "Reform of refined oil product pricing mechanism and energy rebound effect for passenger transportation in China," Energy Policy, Elsevier, vol. 57(C), pages 329-337.
    27. Thai-Ha Le & Youngho Chang, 2012. "Oil Price Shocks and Gold Returns," International Economics, CEPII research center, issue 131, pages 71-104.
    28. repec:cii:cepiei:2012-q3-131-4 is not listed on IDEAS
    29. Zhang, Yue-Jun & Wei, Yi-Ming, 2010. "The crude oil market and the gold market: Evidence for cointegration, causality and price discovery," Resources Policy, Elsevier, vol. 35(3), pages 168-177, September.
    30. Li, Weiqi & Dai, Yaping & Ma, Linwei & Hao, Han & Lu, Haiyan & Albinson, Rosemary & Li, Zheng, 2015. "Oil-saving pathways until 2030 for road freight transportation in China based on a cost-optimization model," Energy, Elsevier, vol. 86(C), pages 369-384.
    31. Sari, Ramazan & Hammoudeh, Shawkat & Soytas, Ugur, 2010. "Dynamics of oil price, precious metal prices, and exchange rate," Energy Economics, Elsevier, vol. 32(2), pages 351-362, March.
    32. Iwayemi, Akin & Fowowe, Babajide, 2011. "Impact of oil price shocks on selected macroeconomic variables in Nigeria," Energy Policy, Elsevier, vol. 39(2), pages 603-612, February.
    33. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    Keywords

    Oil price shocks; Metals; ARGI-GARCH model; Effect;

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