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Automobile components: Lithium and cobalt. Evidence of persistence

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  • Monge, Manuel
  • Gil-Alana, Luis A.

Abstract

This paper deals with the analysis of persistence in the prices of two technologically important metals, namely, lithium and cobalt. Along with them, we also examine four additional series corresponding to World, European, US and Japanese automobiles and component indices. For this purpose, we use long memory techniques based on fractional integration and cointegration. The results indicate that all the series are highly persistent, though we do not find any evidence supporting long run equilibrium relationships between the variables examined.

Suggested Citation

  • Monge, Manuel & Gil-Alana, Luis A., 2019. "Automobile components: Lithium and cobalt. Evidence of persistence," Energy, Elsevier, vol. 169(C), pages 489-495.
    • Handle: RePEc:eee:energy:v:169:y:2019:i:c:p:489-495
    DOI: 10.1016/j.energy.2018.12.068
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    Cited by:

    1. Monge, Manuel & Gil-Alana, Luis A., 2021. "Lithium industry and the U.S. crude oil prices. A fractional cointegration VAR and a Continuous Wavelet Transform analysis," Resources Policy, Elsevier, vol. 72(C).
    2. Manuel Monge & Luis A. Gil-Alana, 2020. "The Lithium Industry and Analysis of the Beta Term Structure of Oil Companies," Risks, MDPI, vol. 8(4), pages 1-17, December.
    3. Tan, Kang Miao & Ramachandaramurthy, Vigna K. & Yong, Jia Ying & Tariq, Mohd, 2021. "Experimental verification of a flexible vehicle-to-grid charger for power grid load variance reduction," Energy, Elsevier, vol. 228(C).
    4. Shi, Qing & Sun, Xiaoqi & Xu, Man & Wang, Mengjiao, 2022. "The multiplex network structure of global cobalt industry chain," Resources Policy, Elsevier, vol. 76(C).

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    More about this item

    Keywords

    Lithium; Cobalt; Automobiles and components; Fractional integration; Fractional cointegration; Persistence;
    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
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices
    • F01 - International Economics - - General - - - Global Outlook
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)

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