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Asymmetric impact of oil structural shocks on non-ferrous metals supply chains: A groundbreaking multidimensional quantile-on-quantile regression

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  • Xie, Qichang
  • Jiang, Yinghui
  • Jia, Nanfei
  • Wang, Hongtao

Abstract

This paper examines the predictability of various oil price shocks on the returns of non-ferrous metals from the supply and demand sides in the US, UK, and China under different market conditions. An innovative multidimensional quantile-on-quantile (MD-QQ) regression approach is proposed to address this topic, which extends traditional univariate QQ regression to multivariate cases, addressing the limitation of omitted variables in the benchmark QQ method. The findings reveal that the forecasting of oil supply shocks on the non-ferrous metal supply chain is generally insignificant. Nevertheless, oil supply shocks will transmit negative (positive) actions when the non-ferrous metal supply-side (demand-side) is in a bear (bull) market. The implication of oil demand shocks on the non-ferrous metal supply chain is generally positive, while the supply-side market of Chinese non-ferrous metals displays mutability in response to oil demand shocks under certain extreme market conditions. Conversely, oil risk shocks have a negative impact across the entire non-ferrous metal supply chain. Their effects are more pronounced when the non-ferrous metal demand market is bearish, exhibiting asymmetric characteristics. Oil demand shocks and risk shocks have a stronger impact on non-ferrous metal supply chains in the US and UK than in China. Our research not only confirms the estimation bias caused by missing variables in traditional baseline models but also provides new insights into the connection between the non-ferrous metals and oil markets by adopting the fresh method.

Suggested Citation

  • Xie, Qichang & Jiang, Yinghui & Jia, Nanfei & Wang, Hongtao, 2024. "Asymmetric impact of oil structural shocks on non-ferrous metals supply chains: A groundbreaking multidimensional quantile-on-quantile regression," International Review of Financial Analysis, Elsevier, vol. 96(PA).
    • Handle: RePEc:eee:finana:v:96:y:2024:i:pa:s1057521924005398
    DOI: 10.1016/j.irfa.2024.103607
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    as
    1. Chen, Ying & Zhu, Xuehong & Chen, Jinyu, 2022. "Spillovers and hedging effectiveness of non-ferrous metals and sub-sectoral clean energy stocks in time and frequency domain," Energy Economics, Elsevier, vol. 111(C).
    2. Bonev, Petyo & Glachant, Matthieu & Söderberg, Magnus, 2022. "Implicit yardstick competition between heating monopolies in urban areas: Theory and evidence from Sweden," Energy Economics, Elsevier, vol. 109(C).
    3. Cagli, Efe Caglar & Taskin, Dilvin & Evrim Mandaci, Pınar, 2019. "The short- and long-run efficiency of energy, precious metals, and base metals markets: Evidence from the exponential smooth transition autoregressive models," Energy Economics, Elsevier, vol. 84(C).
    4. Deng, Xiang & Xu, Fang, 2024. "Asymmetric effects of international oil prices on China's PPI in different industries——Research based on NARDL model," Energy, Elsevier, vol. 290(C).
    5. Behmiri, Niaz Bashiri & Manera, Matteo, 2015. "The role of outliers and oil price shocks on volatility of metal prices," Resources Policy, Elsevier, vol. 46(P2), pages 139-150.
    6. Ge, Zhenyu & Sun, Yang, 2024. "Asymmetric impact of oil price shocks on inflation: Evidence from quantile-on-quantile regression," International Review of Financial Analysis, Elsevier, vol. 92(C).
    7. Benjamin Hunt, 2006. "Oil Price Shocks and the U.S. Stagflation of the 1970s: Some Insights from GEM," The Energy Journal, , vol. 27(4), pages 61-80, October.
    8. Kang, Wensheng & Ratti, Ronald A., 2013. "Structural oil price shocks and policy uncertainty," Economic Modelling, Elsevier, vol. 35(C), pages 314-319.
    9. Balakumar, Suganya & Dash, Saumya Ranjan & Maitra, Debasish & Kang, Sang Hoon, 2022. "Do oil price shocks have any implications for stock return momentum?," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 637-663.
    10. Laura Ferrando & Román Ferrer & Francisco Jareño, 2017. "Interest Rate Sensitivity of Spanish Industries: A Quantile Regression Approach," Manchester School, University of Manchester, vol. 85(2), pages 212-242, March.
    11. Söderberg, Magnus & Vesterberg, Mattias, 2023. "How demand uncertainty influences electricity network prices under revenue-cap regulation: The case of Sweden," Energy Economics, Elsevier, vol. 127(PB).
    12. Lin, Boqiang & Su, Tong, 2020. "The linkages between oil market uncertainty and Islamic stock markets: Evidence from quantile-on-quantile approach," Energy Economics, Elsevier, vol. 88(C).
    13. 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.
    14. Wei, Yu & Bai, Lan & Li, Xiafei, 2022. "Normal and extreme interactions among nonferrous metal futures: A new quantile-frequency connectedness approach," Finance Research Letters, Elsevier, vol. 47(PB).
    15. Chelghoum, Amirouche & Boumimez, Fayçal & Alsamara, Mouyad, 2023. "Asymmetric effects of oil price shocks on the demand for money in Algeria," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 1-11.
    16. Li, Chenchen & Wang, Yudong & Wu, Chongfeng, 2022. "Oil implied volatility and expected stock returns along the worldwide supply chain," Energy Economics, Elsevier, vol. 114(C).
    17. Benjamin Hunt, 2006. "Oil Price Shocks and the U.S. Stagflation of the 1970s: Some Insights from GEM," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 61-80.
    18. Kang, Wensheng & Ratti, Ronald A., 2013. "Oil shocks, policy uncertainty and stock market return," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 305-318.
    19. 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.
    20. Liu, Feng & Xu, Jie & Ai, Chunrong, 2023. "Heterogeneous impacts of oil prices on China's stock market: Based on a new decomposition method," Energy, Elsevier, vol. 268(C).
    21. Cunado, Juncal & Perez de Gracia, Fernando, 2014. "Oil price shocks and stock market returns: Evidence for some European countries," Energy Economics, Elsevier, vol. 42(C), pages 365-377.
    22. James D. Hamilton, 2009. "Understanding Crude Oil Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 179-206.
    23. Liao, Jianhui & Zhu, Xuehong & Chen, Jinyu, 2021. "Dynamic spillovers across oil, gold and stock markets in the presence of major public health emergencies," International Review of Financial Analysis, Elsevier, vol. 77(C).
    24. Kim, Won Joong & Hammoudeh, Shawkat & Hyun, Jun Seog & Gupta, Rangan, 2017. "Oil price shocks and China's economy: Reactions of the monetary policy to oil price shocks," Energy Economics, Elsevier, vol. 62(C), pages 61-69.
    25. James D. Hamilton, 2009. "Understanding Crude Oil Prices," The Energy Journal, , vol. 30(2), pages 179-206, April.
    26. Yang, Hui & Ferrer, Román, 2023. "Explosive behavior in the Chinese stock market: A sectoral analysis," Pacific-Basin Finance Journal, Elsevier, vol. 81(C).
    27. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    28. Alola, Andrew Adewale & Özkan, Oktay & Usman, Ojonugwa, 2023. "Examining crude oil price outlook amidst substitute energy price and household energy expenditure in the USA: A novel nonparametric multivariate QQR approach," Energy Economics, Elsevier, vol. 120(C).
    29. Zhong, Meirui & He, Ruifang & Chen, Jinyu & Huang, Jianbai, 2019. "Time-varying effects of international nonferrous metal price shocks on China’s industrial economy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 528(C).
    30. Jones, Charles M & Kaul, Gautam, 1996. "Oil and the Stock Markets," Journal of Finance, American Finance Association, vol. 51(2), pages 463-491, June.
    31. Ghosh, Bikramaditya & Pham, Linh & Teplova, Tamara & Umar, Zaghum, 2023. "COVID-19 and the quantile connectedness between energy and metal markets," Energy Economics, Elsevier, vol. 117(C).
    32. Moore, Michael J & Cullen, Ursula, 1995. "Speculative Efficiency on the London Metal Exchange," The Manchester School of Economic & Social Studies, University of Manchester, vol. 63(3), pages 235-256, September.
    33. Ozkan, Oktay & Haruna, Roselyn Afor & ALOLA, Andrew Adewale & Ghardallou, Wafa & Usman, Ojonugwa, 2023. "Investigating the nexus between economic complexity and energy-related environmental risks in the USA: Empirical evidence from a novel multivariate quantile-on-quantile regression," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 382-392.
    34. Qichang Xie & Qiankun Sun & Junxian Liu, 2020. "Local weighted composite quantile estimation and smoothing parameter selection for nonparametric derivative function," Econometric Reviews, Taylor & Francis Journals, vol. 39(3), pages 215-233, March.
    35. Bernard Herskovic, 2018. "Networks in Production: Asset Pricing Implications," Journal of Finance, American Finance Association, vol. 73(4), pages 1785-1818, August.
    36. Lin, Jie & Xiao, Hao & Chai, Jian, 2023. "Dynamic effects and driving intermediations of oil price shocks on major economies," Energy Economics, Elsevier, vol. 124(C).
    37. Zhu, Huiming & Guo, Yawei & You, Wanhai & Xu, Yaqin, 2016. "The heterogeneity dependence between crude oil price changes and industry stock market returns in China: Evidence from a quantile regression approach," Energy Economics, Elsevier, vol. 55(C), pages 30-41.
    38. Cui, Jinxin & Maghyereh, Aktham & Liao, Dijia, 2024. "Risk connectedness between international oil and stock markets during the COVID-19 pandemic and the Russia-Ukraine conflict: Fresh evidence from the higher-order moments," International Review of Economics & Finance, Elsevier, vol. 95(C).
    39. Robert C Ready, 2018. "Oil Prices and the Stock Market [The vix, the variance premium and stock market volatility]," Review of Finance, European Finance Association, vol. 22(1), pages 155-176.
    40. Plourde, André & Watkins, G. C., 1998. "Crude oil prices between 1985 and 1994: how volatile in relation to other commodities?," Resource and Energy Economics, Elsevier, vol. 20(3), pages 245-262, September.
    41. 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).
    42. Ghorashi, Amir Hossein & Maranlou, Hadi, 2021. "Essential infrastructures and relevant policies for renewable energy developments in oil-rich developing countries: Case of Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    43. 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.
    44. Chen, Peng, 2015. "Global oil prices, macroeconomic fundamentals and China's commodity sector comovements," Energy Policy, Elsevier, vol. 87(C), pages 284-294.
    45. Wallace E. Tyner, 2010. "The integration of energy and agricultural markets," Agricultural Economics, International Association of Agricultural Economists, vol. 41(s1), pages 193-201, November.
    46. Hong, Jiawei & Yu, Xiaojian & Xiao, Weilin & Zhang, Xili, 2022. "The dispersion of beta estimates and the investors’ heterogeneous Beliefs：Evidence from the stock market in China," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 540-550.
    47. Sim, Nicholas & Zhou, Hongtao, 2015. "Oil prices, US stock return, and the dependence between their quantiles," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 1-8.
    48. Chen, Ying & Zhu, Xuehong & Li, Hailing, 2022. "The asymmetric effects of oil price shocks and uncertainty on non-ferrous metal market: Based on quantile regression," Energy, Elsevier, vol. 246(C).
    49. Wirl, Franz, 2008. "Why do oil prices jump (or fall)?," Energy Policy, Elsevier, vol. 36(3), pages 1029-1043, March.
    50. Xie, Qichang & Tang, Guoqiang, 2022. "Do market conditions interfere with the transmission of uncertainty from oil market to stock market? Evidence from a modified quantile-on-quantile approach," Energy Economics, Elsevier, vol. 114(C).
    51. Chevallier, Julien & Goutte, Stéphane & Ji, Qiang & Guesmi, Khaled, 2021. "Green finance and the restructuring of the oil-gas-coal business model under carbon asset stranding constraints," Energy Policy, Elsevier, vol. 149(C).
    52. Alam, Md Rafayet & Forhad, Md. Abdur Rahman & Sah, Nilesh B., 2022. "Consumption- and speculation-led change in demand for oil and the response of base metals: A Markov-switching approach," Finance Research Letters, Elsevier, vol. 47(PB).
    53. Sadorsky, Perry, 2000. "The empirical relationship between energy futures prices and exchange rates," Energy Economics, Elsevier, vol. 22(2), pages 253-266, April.
    54. Ge, Zhenyu, 2023. "The asymmetric impact of oil price shocks on China stock market: Evidence from quantile-on-quantile regression," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 120-125.
    55. Chen, Yongfei & Wei, Yu & Bai, Lan & Zhang, Jiahao & Wang, Zhuo, 2023. "Connectedness and hedging effects among China's nonferrous metal, crude oil and green bond markets: An extreme perspective," Finance Research Letters, Elsevier, vol. 58(PA).
    56. Doğan, Buhari & Trabelsi, Nader & Tiwari, Aviral Kumar & Ghosh, Sudeshna, 2023. "Dynamic dependence and causality between crude oil, green bonds, commodities, geopolitical risks, and policy uncertainty," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 36-62.
    57. Lee, Kiseok & Ni, Shawn, 2002. "On the dynamic effects of oil price shocks: a study using industry level data," Journal of Monetary Economics, Elsevier, vol. 49(4), pages 823-852, May.
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    More about this item

    Keywords

    Asymmetric effect; Extreme market conditions; Multidimensional quantile-on-quantile regression; Non-ferrous metal supply chain; Oil price structural shocks;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • Q31 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Demand and Supply; Prices
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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