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The price relationship between main-byproduct metals from a multiscale nonlinear Granger causality perspective

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  • Shao, Liuguo
  • Hu, Wenqin
  • Yang, Danhui

Abstract

Basing on the relationship of joint production, we take lead-bismuth, lead-selenium, zinc-cadmium, and zinc-germanium as examples to study the nonlinear Granger causal relationship between the prices of main-byproduct metal pairs. The price relationship between the main metal and byproduct metal is nonlinear and varies with the time scales. Therefore, we use an Ensemble Empirical Modal Decomposition method (EEMD) to break down the price series of the main metals and byproduct metals into different frequency bands, and then test these different frequency bands for nonlinear Granger causality. The results show that a two-way nonlinear Granger causal relationship exists between the prices of the main metals and byproduct metals, and this nonlinear Granger causal relationship is reflected primarily in the short- and medium-term time scales. Moreover, the effect of the main metal price on the price of the byproduct metal is not as significant as previously thought, and the influence of the byproduct metal price on the main metal price has been previously underestimated.

Suggested Citation

  • Shao, Liuguo & Hu, Wenqin & Yang, Danhui, 2020. "The price relationship between main-byproduct metals from a multiscale nonlinear Granger causality perspective," Resources Policy, Elsevier, vol. 69(C).
    • Handle: RePEc:eee:jrpoli:v:69:y:2020:i:c:s0301420720308771
    DOI: 10.1016/j.resourpol.2020.101846
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    as
    1. da Gama Silva, Paulo Vitor Jordão & Klotzle, Marcelo Cabus & Pinto, Antonio Carlos Figueiredo & Gomes, Leonardo Lima, 2019. "Herding behavior and contagion in the cryptocurrency market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 41-50.
    2. You, Wanhai & Guo, Yawei & Zhu, Huiming & Tang, Yong, 2017. "Oil price shocks, economic policy uncertainty and industry stock returns in China: Asymmetric effects with quantile regression," Energy Economics, Elsevier, vol. 68(C), pages 1-18.
    3. Baeck, E.G. & Brock, W.A., 1992. "A Nonparametric Test for Independence of a Multivariate Time Series," Working papers 9204, Wisconsin Madison - Social Systems.
    4. Campbell, Gary A., 1985. "The role of co-products in stabilizing the metal mining industry," Resources Policy, Elsevier, vol. 11(4), pages 267-274, December.
    5. Fizaine, Florian, 2013. "Byproduct production of minor metals: Threat or opportunity for the development of clean technologies? The PV sector as an illustration," Resources Policy, Elsevier, vol. 38(3), pages 373-383.
    6. Diks, Cees & Panchenko, Valentyn, 2006. "A new statistic and practical guidelines for nonparametric Granger causality testing," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1647-1669.
    7. Hiemstra, Craig & Jones, Jonathan D, 1994. "Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation," Journal of Finance, American Finance Association, vol. 49(5), pages 1639-1664, December.
    8. Li, Sufang & Zhang, Hu & Yuan, Di, 2019. "Investor attention and crude oil prices: Evidence from nonlinear Granger causality tests," Energy Economics, Elsevier, vol. 84(C).
    9. Pindyck, Robert S., 1982. "Jointly produced exhaustible resources," Journal of Environmental Economics and Management, Elsevier, vol. 9(4), pages 291-303, December.
    10. Fizaine, Florian, 2015. "Minor metals and organized markets: News highlights about the consequences of establishing a futures market in a thin market with a dual trading price system," Resources Policy, Elsevier, vol. 46(P2), pages 59-70.
    11. Shammugam, Shivenes & Rathgeber, Andreas & Schlegl, Thomas, 2019. "Causality between metal prices: Is joint consumption a more important determinant than joint production of main and by-product metals?," Resources Policy, Elsevier, vol. 61(C), pages 49-66.
    12. Ji, Qiang & Geng, Jiang-Bo & Tiwari, Aviral Kumar, 2018. "Information spillovers and connectedness networks in the oil and gas markets," Energy Economics, Elsevier, vol. 75(C), pages 71-84.
    13. Redlinger, Michael & Eggert, Roderick, 2016. "Volatility of by-product metal and mineral prices," Resources Policy, Elsevier, vol. 47(C), pages 69-77.
    14. Geng, Jiang-Bo & Ji, Qiang & Fan, Ying, 2017. "The relationship between regional natural gas markets and crude oil markets from a multi-scale nonlinear Granger causality perspective," Energy Economics, Elsevier, vol. 67(C), pages 98-110.
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