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Dynamic dependence between main-byproduct metals and the role of clean energy market

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  • Song, Huiling
  • Wang, Chang
  • Lei, Xiaojie
  • Zhang, Hongwei

Abstract

This paper explores the dynamic dependence between the prices of main-byproduct metal pairs by applying the time-varying parameter vector autoregression (TVP-VAR) modelling. The novel insights into the effect of clean energy market on the connectedness of main-byproduct metal markets are also provided via Granger causality tests and nonparametric causality-in-quantiles approach. Empirical results indicate the time-varying nature of the spillover between main-byproduct metals and the overlooked spillover effect from the byproduct metal market. The significant causal effect of the clean energy market on the co-movement between main-byproduct metal markets implies that the clean energy market and main-byproduct metal markets are closely linked. Particularly, the wind energy market has a stronger effect than the solar energy market on the total spillover of the main-byproduct metal pairs. Furthermore, a battery of linear and nonlinear causality tests suggests the heterogeneous effect of the clean energy market, which causes a linear impact on the spillover from main metal to byproduct metal market, while brings a nonlinear causal effect on the spillover from byproduct metal to main metal market. Our findings highlight the significant role of clean energy market in the connectedness between main-byproduct metal markets.

Suggested Citation

  • Song, Huiling & Wang, Chang & Lei, Xiaojie & Zhang, Hongwei, 2022. "Dynamic dependence between main-byproduct metals and the role of clean energy market," Energy Economics, Elsevier, vol. 108(C).
  • Handle: RePEc:eee:eneeco:v:108:y:2022:i:c:s0140988322000858
    DOI: 10.1016/j.eneco.2022.105905
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    as
    1. Jiang, Yonghong & Wang, Jieru & Lie, Jiayi & Mo, Bin, 2021. "Dynamic dependence nexus and causality of the renewable energy stock markets on the fossil energy markets," Energy, Elsevier, vol. 233(C).
    2. Apergis, Nicholas & Carmona-González, Nieves & Gil-Alana, Luis Alberiko, 2020. "Persistence in silver prices and the influence of solar energy," Resources Policy, Elsevier, vol. 69(C).
    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. Valero, Alicia & Valero, Antonio & Calvo, Guiomar & Ortego, Abel, 2018. "Material bottlenecks in the future development of green technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 178-200.
    5. Wen, Fenghua & Cao, Jiahui & Liu, Zhen & Wang, Xiong, 2021. "Dynamic volatility spillovers and investment strategies between the Chinese stock market and commodity markets," International Review of Financial Analysis, Elsevier, vol. 76(C).
    6. Choi, Chul Hun & Cao, Jinjian & Zhao, Fu, 2016. "System Dynamics Modeling of Indium Material Flows under Wide Deployment of Clean Energy Technologies," Resources, Conservation & Recycling, Elsevier, vol. 114(C), pages 59-71.
    7. Jordan, Brett, 2018. "Economics literature on joint production of minerals: A survey," Resources Policy, Elsevier, vol. 55(C), pages 20-28.
    8. Bouri, Elie & Demirer, Riza & Gabauer, David & Gupta, Rangan, 2022. "Financial market connectedness: The role of investors’ happiness," Finance Research Letters, Elsevier, vol. 44(C).
    9. 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.
    10. Gong, Xu & Liu, Yun & Wang, Xiong, 2021. "Dynamic volatility spillovers across oil and natural gas futures markets based on a time-varying spillover method," International Review of Financial Analysis, Elsevier, vol. 76(C).
    11. Xinkai Fu & Adriano Polli & Elsa Olivetti, 2019. "High‐Resolution Insight into Materials Criticality: Quantifying Risk for By‐Product Metals from Primary Production," Journal of Industrial Ecology, Yale University, vol. 23(2), pages 452-465, April.
    12. Kim, Kihyung, 2020. "Jointly produced metal markets are endogenously unstable," Resources Policy, Elsevier, vol. 66(C).
    13. Umar, Zaghum & Jareño, Francisco & Escribano, Ana, 2021. "Oil price shocks and the return and volatility spillover between industrial and precious metals," Energy Economics, Elsevier, vol. 99(C).
    14. Frenzel, Max & Ketris, Marina P. & Seifert, Thomas & Gutzmer, Jens, 2016. "On the current and future availability of gallium," Resources Policy, Elsevier, vol. 47(C), pages 38-50.
    15. Elshkaki, Ayman & Shen, Lei, 2019. "Energy-material nexus: The impacts of national and international energy scenarios on critical metals use in China up to 2050 and their global implications," Energy, Elsevier, vol. 180(C), pages 903-917.
    16. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    17. Jeong, Kiho & Härdle, Wolfgang K. & Song, Song, 2012. "A Consistent Nonparametric Test For Causality In Quantile," Econometric Theory, Cambridge University Press, vol. 28(4), pages 861-887, August.
    18. Nishiyama, Yoshihiko & Hitomi, Kohtaro & Kawasaki, Yoshinori & Jeong, Kiho, 2011. "A consistent nonparametric test for nonlinear causality—Specification in time series regression," Journal of Econometrics, Elsevier, vol. 165(1), pages 112-127.
    19. Song, Yingjie & Ji, Qiang & Du, Ya-Juan & Geng, Jiang-Bo, 2019. "The dynamic dependence of fossil energy, investor sentiment and renewable energy stock markets," Energy Economics, Elsevier, vol. 84(C).
    20. Saleem H. Ali & Damien Giurco & Nicholas Arndt & Edmund Nickless & Graham Brown & Alecos Demetriades & Ray Durrheim & Maria Amélia Enriquez & Judith Kinnaird & Anna Littleboy & Lawrence D. Meinert & R, 2017. "Correction: Corrigendum: Mineral supply for sustainable development requires resource governance," Nature, Nature, vol. 547(7662), pages 246-246, July.
    21. Saleem H. Ali & Damien Giurco & Nicholas Arndt & Edmund Nickless & Graham Brown & Alecos Demetriades & Ray Durrheim & Maria Amélia Enriquez & Judith Kinnaird & Anna Littleboy & Lawrence D. Meinert & R, 2017. "Mineral supply for sustainable development requires resource governance," Nature, Nature, vol. 543(7645), pages 367-372, March.
    22. Reboredo, Juan C. & Rivera-Castro, Miguel A. & Ugolini, Andrea, 2017. "Wavelet-based test of co-movement and causality between oil and renewable energy stock prices," Energy Economics, Elsevier, vol. 61(C), pages 241-252.
    23. Tiwari, Aviral Kumar & Nasreen, Samia & Shahbaz, Muhammad & Hammoudeh, Shawkat, 2020. "Time-frequency causality and connectedness between international prices of energy, food, industry, agriculture and metals," Energy Economics, Elsevier, vol. 85(C).
    24. Lu, Xinjie & Ma, Feng & Wang, Jiqian & Zhu, Bo, 2021. "Oil shocks and stock market volatility: New evidence," Energy Economics, Elsevier, vol. 103(C).
    25. Reboredo, Juan C., 2015. "Is there dependence and systemic risk between oil and renewable energy stock prices?," Energy Economics, Elsevier, vol. 48(C), pages 32-45.
    26. Xu Gong & Boqiang Lin, 2021. "Effects of structural changes on the prediction of downside volatility in futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(7), pages 1124-1153, July.
    27. Elshkaki, Ayman & Graedel, T.E., 2014. "Dysprosium, the balance problem, and wind power technology," Applied Energy, Elsevier, vol. 136(C), pages 548-559.
    28. Ding, Qian & Huang, Jianbai & Chen, Jinyu, 2021. "Dynamic and frequency-domain risk spillovers among oil, gold, and foreign exchange markets: Evidence from implied volatility," Energy Economics, Elsevier, vol. 102(C).
    29. He, Rui-fang & Zhong, Mei-rui & Huang, Jian-bai, 2021. "The dynamic effects of renewable-energy and fossil-fuel technological progress on metal consumption in the electric power industry," Resources Policy, Elsevier, vol. 71(C).
    30. Peter Greim & A. A. Solomon & Christian Breyer, 2020. "Assessment of lithium criticality in the global energy transition and addressing policy gaps in transportation," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    31. Valero, Alicia & Valero, Antonio & Calvo, Guiomar & Ortego, Abel & Ascaso, Sonia & Palacios, Jose-Luis, 2018. "Global material requirements for the energy transition. An exergy flow analysis of decarbonisation pathways," Energy, Elsevier, vol. 159(C), pages 1175-1184.
    32. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    33. Shao, Liuguo & Zhang, Hua, 2020. "The impact of oil price on the clean energy metal prices: A multi-scale perspective," Resources Policy, Elsevier, vol. 68(C).
    34. 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.
    35. Yahya, Muhammad & Ghosh, Sajal & Kanjilal, Kakali & Dutta, Anupam & Uddin, Gazi Salah, 2020. "Evaluation of cross-quantile dependence and causality between non-ferrous metals and clean energy indexes," Energy, Elsevier, vol. 202(C).
    36. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    37. Afflerbach, Patrick & Fridgen, Gilbert & Keller, Robert & Rathgeber, Andreas W. & Strobel, Florian, 2014. "The by-product effect on metal markets – New insights to the price behavior of minor metals," Resources Policy, Elsevier, vol. 42(C), pages 35-44.
    38. Bouri, Elie & Lei, Xiaojie & Jalkh, Naji & Xu, Yahua & Zhang, Hongwei, 2021. "Spillovers in higher moments and jumps across US stock and strategic commodity markets," Resources Policy, Elsevier, vol. 72(C).
    39. Ahmad, Wasim & Sadorsky, Perry & Sharma, Amit, 2018. "Optimal hedge ratios for clean energy equities," Economic Modelling, Elsevier, vol. 72(C), pages 278-295.
    40. Uddin, Gazi Salah & Rahman, Md Lutfur & Hedström, Axel & Ahmed, Ali, 2019. "Cross-quantilogram-based correlation and dependence between renewable energy stock and other asset classes," Energy Economics, Elsevier, vol. 80(C), pages 743-759.
    41. Tiwari, Aviral Kumar & Mishra, Bibhuti Ranjan & Solarin, Sakiru Adebola, 2021. "Analysing the spillovers between crude oil prices, stock prices and metal prices: The importance of frequency domain in USA," Energy, Elsevier, vol. 220(C).
    42. B., Anand & Paul, Sunil, 2021. "Oil shocks and stock market: Revisiting the dynamics," Energy Economics, Elsevier, vol. 96(C).
    43. Helbig, Christoph & Bradshaw, Alex M. & Kolotzek, Christoph & Thorenz, Andrea & Tuma, Axel, 2016. "Supply risks associated with CdTe and CIGS thin-film photovoltaics," Applied Energy, Elsevier, vol. 178(C), pages 422-433.
    44. 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).
    45. Awaworyi Churchill, Sefa & Inekwe, John & Ivanovski, Kris & Smyth, Russell, 2019. "Dynamics of oil price, precious metal prices and the exchange rate in the long-run," Energy Economics, Elsevier, vol. 84(C).
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