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Price Co-Movement between Electrical Equipment and Metal Commodities—A Time-Frequency Analysis

Author

Listed:
  • Cheng Xin

    (State Grid Economic and Technological Research Institute, Beijing 102209, China)

  • Kailin Ji

    (State Grid Economic and Technological Research Institute, Beijing 102209, China)

  • Hao Chang

    (Department of Biological Science and Technology, Jinzhong University, Jinzhong 030600, China)

  • Yang Li

    (School of Economics and Management, China University of Geosciences, Beijing 100083, China)

  • Ya-Qiong Liu

    (State Grid Economic and Technological Research Institute, Beijing 102209, China)

Abstract

The rising uncertainty of the global markets has caused the price fluctuation of the equipment and materials in PT&D (Power Transmission and Distribution) projects to be more complicated. As the cost of equipment and materials accounts for a large proportion of the total investment of the PT&D projects, this study investigates the co-movement of the equipment and materials price and metal commodities’ price with the use of wavelet coherency and partial wavelet coherency analysis under a time-frequency framework. Our results indicate that (i) the co-movement manifests mainly in the short term and long term; (ii) there is no clear lead-lag relationship in the co-movement; (iii) the short-term co-movement is activated by the continuous rising of metal commodity price; (iv) the long-term co-movement is largely driven by the overall market price movement, but this effect is weakened when the metal is of high importance in producing the equipment. Our study shed light on the planning and investment in the PT&D projects for both the purchase and production sides.

Suggested Citation

  • Cheng Xin & Kailin Ji & Hao Chang & Yang Li & Ya-Qiong Liu, 2022. "Price Co-Movement between Electrical Equipment and Metal Commodities—A Time-Frequency Analysis," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13443-:d:946064
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    References listed on IDEAS

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    1. Rao Rao & Xingping Zhang & Zhiping Shi & Kaiyan Luo & Zhongfu Tan & Yifan Feng, 2014. "A Systematical Framework of Schedule Risk Management for Power Grid Engineering Projects’ Sustainable Development," Sustainability, MDPI, vol. 6(10), pages 1-30, October.
    2. Luís Aguiar-Conraria & Maria Soares, 2011. "Oil and the macroeconomy: using wavelets to analyze old issues," Empirical Economics, Springer, vol. 40(3), pages 645-655, May.
    3. Ivan Darma Wangsa & Tao Ming Yang & Hui Ming Wee, 2018. "The Effect of Price-Dependent Demand on the Sustainable Electrical Energy Supply Chain," Energies, MDPI, vol. 11(7), pages 1-18, June.
    4. Huthaifa Alqaralleh & Alessandra Canepa, 2021. "Evidence of Stock Market Contagion during the COVID-19 Pandemic: A Wavelet-Copula-GARCH Approach," JRFM, MDPI, vol. 14(7), pages 1-18, July.
    5. Qi, Yajie & Li, Huajiao & Liu, Yanxin & Feng, Sida & Li, Yang & Guo, Sui, 2020. "Granger causality transmission mechanism of steel product prices under multiple scales—The industrial chain perspective," Resources Policy, Elsevier, vol. 67(C).
    6. Reboredo, Juan C., 2012. "Do food and oil prices co-move?," Energy Policy, Elsevier, vol. 49(C), pages 456-467.
    7. Pal, Debdatta & Mitra, Subrata K., 2017. "Time-frequency contained co-movement of crude oil and world food prices: A wavelet-based analysis," Energy Economics, Elsevier, vol. 62(C), pages 230-239.
    8. Michael Sockin & Wei Xiong, 2015. "Informational Frictions and Commodity Markets," Journal of Finance, American Finance Association, vol. 70(5), pages 2063-2098, October.
    9. George P. Papaioannou & Christos Dikaiakos & George Evangelidis & Panagiotis G. Papaioannou & Dionysios S. Georgiadis, 2015. "Co-Movement Analysis of Italian and Greek Electricity Market Wholesale Prices by Using a Wavelet Approach," Energies, MDPI, vol. 8(10), pages 1-30, October.
    10. Goodell, John W. & Goutte, Stephane, 2021. "Co-movement of COVID-19 and Bitcoin: Evidence from wavelet coherence analysis," Finance Research Letters, Elsevier, vol. 38(C).
    11. Zaremba, Adam & Umar, Zaghum & Mikutowski, Mateusz, 2021. "Commodity financialisation and price co-movement: Lessons from two centuries of evidence," Finance Research Letters, Elsevier, vol. 38(C).
    12. Tomiwa Sunday Adebayo & Dervis Kirikkaleli, 2021. "Impact of renewable energy consumption, globalization, and technological innovation on environmental degradation in Japan: application of wavelet tools," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16057-16082, November.
    13. Albulescu, Claudiu Tiberiu & Mutascu, Mihai Ioan, 2021. "Fuel price co-movements among France, Germany and Italy: A time-frequency investigation," Energy, Elsevier, vol. 225(C).
    14. Iyke, Bernard Njindan & Ho, Sin-Yu, 2021. "Stock return predictability over four centuries: The role of commodity returns," Finance Research Letters, Elsevier, vol. 40(C).
    15. Yixin Huang & Xinyi Liu & Zhi Zhang & Li Yang & Zhenzhi Lin & Yangqing Dan & Ke Sun & Zhou Lan & Keping Zhu, 2020. "Multi-Stage Transmission Network Planning Considering Transmission Congestion in the Power Market," Energies, MDPI, vol. 13(18), pages 1-22, September.
    16. Heesun Jang, 2020. "Market Impacts of a Transmission Investment: Evidence from the ERCOT Competitive Renewable Energy Zones Project," Energies, MDPI, vol. 13(12), pages 1-16, June.
    17. Umar, Zaghum & Riaz, Yasir & Zaremba, Adam, 2021. "Patterns of Spillover in Energy, Agricultural, and Metal Markets: A Connectedness Analysis for Years 1780-2020," Finance Research Letters, Elsevier, vol. 43(C).
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