IDEAS home Printed from https://ideas.repec.org/a/afj/journ3/v11y2021i1p26-34.html
   My bibliography  Save this article

How Lithium Prices Affect Mergers and Acquisitions in the Lithium Industry

Author

Listed:
  • Manuel Monge
  • Enrique Cristobal
  • Luis A. Gil-Alana

    (Universidad Francisco de Vitoria (UFV), Madrid, Spain)

Abstract

Is lithium affecting business strategies in the sector? We employ methodologies based on Continuous Wavelet Transform (CWT) and fractional integration and cointegration vector autoregressive models (FCVAR) models to analyze how lithium prices influence mergers and acquisitions (M&A) in the lithium industry over the world. The univariate and the multivariate results obtained using long memory methods support the nonstationary nature of the data, but they seem to be linked in the long-term through a fractional cointegrated relationship. In addition, analysis in the time-frequency domain indicates that both series are highly correlated from 2015 to 2017, finding that the lithium prices explain the M&A behavior after mid-2016 until early 2017.

Suggested Citation

  • Manuel Monge & Enrique Cristobal & Luis A. Gil-Alana, 2021. "How Lithium Prices Affect Mergers and Acquisitions in the Lithium Industry," Review of Development Finance Journal, Chartered Institute of Development Finance, vol. 11(1), pages 26-34.
  • Handle: RePEc:afj:journ3:v:11:y:2021:i:1:p:26-34
    as

    Download full text from publisher

    File URL: https://journals.co.za/doi/abs/10.10520/ejc-rdfin-v11-n1-a2
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jingyi Zhong & Weide Chun & Wu Deng & Hui Gao, 2023. "Can Mergers and Acquisitions Promote Technological Innovation in the New Energy Industry? An Empirical Analysis Based on China’s Lithium Battery Industry," Sustainability, MDPI, vol. 15(16), pages 1-25, August.

    More about this item

    Keywords

    Lithium industry; lithium prices; M&A; fractional integration; fractional cointegration; wavelets;
    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
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • G30 - Financial Economics - - Corporate Finance and Governance - - - General
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:afj:journ3:v:11:y:2021:i:1:p:26-34. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kirk De Doncker (email available below). General contact details of provider: https://edirc.repec.org/data/afrgrza.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.