IDEAS home Printed from https://ideas.repec.org/a/spr/epolin/v51y2024i4d10.1007_s40812-024-00315-2.html
   My bibliography  Save this article

Industrial metal and cryptocurrency market plummets: Interdependence, policy uncertainty, or investor sentiments?

Author

Listed:
  • John Kingsley Woode

    (University of Cape Coast)

  • Anokye M. Adam

    (University of Cape Coast)

  • Peterson Owusu Junior

    (University of Cape Coast)

  • Anthony Adu-Asare Idun

    (University of Cape Coast)

Abstract

This study examines the interdependence between industrial metals and cryptos, particularly during the recent downturn in both markets. Focusing on the most impacted and comparatively volatile cryptos (Bitcoin, Dashcoin, Ethereum, Litecoin, and Monero) and industrial metals (aluminium, copper, lead, nickel, and zinc) from January 2017 to December 2023, the study employs all varying wavelet techniques. The study confirms the dynamic interdependence structure between the sample metals and cryptos through the bivariate analysis, with events like the global health crisis and the crypto and metal markets crash playing significant roles. The partial wavelet analysis highlights the influence of investor sentiments and U.S. policy uncertainty in these integrations, extremely affecting Bitcoin, Dashcoin, and metal integrations. Regarding predictiveness, there was an observed bidirectional causal nexus, with metals dominating cryptos in most cases. Additionally, industrial metals are identified as a hedge for cryptos only in the very long term, given the observed weak integration, especially in normal times, while the multiple analyses revealed heightened integration and a lack of these prospects across all scales. In the same vein, Bitcoin demonstrated its vulnerability to both systemic and external shocks, with Ethereum being the most resilient asset with the prospect of withstanding such shocks. These outcomes have implications for investors, speculators, crypto-dependent businesses, crypto markets regulating countries, guiding policies, diversification strategies, and risk management.

Suggested Citation

  • John Kingsley Woode & Anokye M. Adam & Peterson Owusu Junior & Anthony Adu-Asare Idun, 2024. "Industrial metal and cryptocurrency market plummets: Interdependence, policy uncertainty, or investor sentiments?," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 51(4), pages 1001-1040, December.
    • Handle: RePEc:spr:epolin:v:51:y:2024:i:4:d:10.1007_s40812-024-00315-2
    DOI: 10.1007/s40812-024-00315-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40812-024-00315-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40812-024-00315-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Laura E. Kodres & Matthew Pritsker, 2002. "A Rational Expectations Model of Financial Contagion," Journal of Finance, American Finance Association, vol. 57(2), pages 769-799, April.
    2. John W. Goodell & Andrea Paltrinieri & Stefano PiserÃ, 2023. "Comparing Search-Engine Intensity and Regulatory Attention Impacts on Cryptocurrencies: Uncovering Important Heterogeneities," Review of Corporate Finance, now publishers, vol. 3(4), pages 571-595, September.
    3. Bildirici, Melike E. & Sonustun, Bahri, 2021. "Chaotic behavior in gold, silver, copper and bitcoin prices," Resources Policy, Elsevier, vol. 74(C).
    4. Cagli, Efe Caglar & Mandaci, Pinar Evrim, 2023. "Time and frequency connectedness of uncertainties in cryptocurrency, stock, currency, energy, and precious metals markets," Emerging Markets Review, Elsevier, vol. 55(C).
    5. John Kingsley Woode & Peterson Owusu Junior & Anokye M. Adam & Emmanuel Assifuah-Nunoo & Audrey Foriwaa Adjei, 2023. "Nexus between cryptocurrencies and global uncertainty: A quantile regression approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 11(2), pages 2282809-228, October.
    6. Mensi, Walid & Rehman, Mobeen Ur & Vo, Xuan Vinh & Kang, Sang Hoon, 2024. "Spillovers and multiscale relationships among cryptocurrencies: A portfolio implication using high frequency data," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 449-479.
    7. Muhammad Abubakr Naeem & Saqib Farid & Faruk Balli & Syed Jawad Hussain Shahzad, 2021. "Hedging the downside risk of commodities through cryptocurrencies," Applied Economics Letters, Taylor & Francis Journals, vol. 28(2), pages 153-160, January.
    8. Sherena Sheng Huang, 2021. "Crypto assets regulation in the UK: an assessment of the regulatory effectiveness and consistency," Journal of Financial Regulation and Compliance, Emerald Group Publishing Limited, vol. 29(3), pages 336-351, June.
    9. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    10. Kyriazis, Nikolaos A. & Papadamou, Stephanos & Tzeremes, Panayiotis, 2023. "Are benchmark stock indices, precious metals or cryptocurrencies efficient hedges against crises?," Economic Modelling, Elsevier, vol. 128(C).
    11. Bhanja, Niyati & Shah, Adil Ahmad & Dar, Arif Billah, 2023. "Aggregate, asymmetric and frequency-based spillover among equity, precious metals, and cryptocurrency," Resources Policy, Elsevier, vol. 80(C).
    12. Cao, Guangxi & Ling, Meijun, 2022. "Asymmetry and conduction direction of the interdependent structure between cryptocurrency and US dollar, renminbi, and gold markets," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    13. Rehman, Mobeen Ur & Vinh Vo, Xuan, 2020. "Cryptocurrencies and precious metals: A closer look from diversification perspective," Resources Policy, Elsevier, vol. 66(C).
    14. Franklin Allen & Xian Gu & Julapa Jagtiani, 2021. "A Survey of Fintech Research and Policy Discussion," Review of Corporate Finance, now publishers, vol. 1(3-4), pages 259-339, July.
    15. Wei, Yu & Wang, Yizhi & Lucey, Brian M. & Vigne, Samuel A., 2023. "Cryptocurrency uncertainty and volatility forecasting of precious metal futures markets," Journal of Commodity Markets, Elsevier, vol. 29(C).
    16. Yousaf, Imran & Gubareva, Mariya & Teplova, Tamara, 2023. "Connectedness of non-fungible tokens and conventional cryptocurrencies with metals," The North American Journal of Economics and Finance, Elsevier, vol. 68(C).
    17. Hassan, M. Kabir & Hasan, Md. Bokhtiar & Rashid, Md. Mamunur, 2021. "Using precious metals to hedge cryptocurrency policy and price uncertainty," Economics Letters, Elsevier, vol. 206(C).
    18. Ji, Qiang & Bouri, Elie & Roubaud, David & Kristoufek, Ladislav, 2019. "Information interdependence among energy, cryptocurrency and major commodity markets," Energy Economics, Elsevier, vol. 81(C), pages 1042-1055.
    19. Woode, John Kingsley & Owusu Junior, Peterson & Adam, Anokye M., 2024. "Dynamic interdependence structure of industrial metals and the African stock market," Resources Policy, Elsevier, vol. 88(C).
    20. Wu, Kai & Zhu, Jingran & Xu, Mingli & Yang, Lu, 2020. "Can crude oil drive the co-movement in the international stock market? Evidence from partial wavelet coherence analysis," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Narayan, Shivani & Kumar, Dilip, 2024. "Unveiling interconnectedness and risk spillover among cryptocurrencies and other asset classes," Global Finance Journal, Elsevier, vol. 62(C).
    2. Zhong, Yufei & Chen, Xuesheng & Wang, Chengfang & Wang, Zhixian & Zhang, Yuchen, 2023. "The hedging performance of green bond markets in China and the U.S.: Novel evidence from cryptocurrency uncertainty," Energy Economics, Elsevier, vol. 128(C).
    3. Abrar, Afsheen & Naeem, Muhammad Abubakr & Karim, Sitara & Lucey, Brian M. & Vigne, Samuel A., 2024. "Shining in or fading out: Do precious metals sparkle for cryptocurrencies?," Resources Policy, Elsevier, vol. 90(C).
    4. Naeem, Muhammad Abubakr & Husain, Afzol & Bossman, Ahmed & Karim, Sitara, 2024. "Assessing the linkage of energy cryptocurrency with clean and dirty energy markets," Energy Economics, Elsevier, vol. 130(C).
    5. Mo, Bin & Meng, Juan & Zheng, Liping, 2022. "Time and frequency dynamics of connectedness between cryptocurrencies and commodity markets," Resources Policy, Elsevier, vol. 77(C).
    6. Joo, Young C. & Park, Sung Y., 2023. "Quantile connectedness between cryptocurrency and commodity futures," Finance Research Letters, Elsevier, vol. 58(PC).
    7. Mensi, Walid & El Khoury, Rim & Ali, Syed Riaz Mahmood & Vo, Xuan Vinh & Kang, Sang Hoon, 2023. "Quantile dependencies and connectedness between the gold and cryptocurrency markets: Effects of the COVID-19 crisis," Research in International Business and Finance, Elsevier, vol. 65(C).
    8. Cuilin Li & Ya-Juan Du & Qiang Ji & Jiang-bo Geng, 2019. "Multiscale Market Integration and Nonlinear Granger Causality between Natural Gas Futures and Physical Markets," Sustainability, MDPI, vol. 11(19), pages 1-23, October.
    9. Mbarki, Imen & Khan, Muhammad Arif & Karim, Sitara & Paltrinieri, Andrea & Lucey, Brian M., 2023. "Unveiling commodities-financial markets intersections from a bibliometric perspective," Resources Policy, Elsevier, vol. 83(C).
    10. Lee, Chi-Chuan & Lee, Chien-Chiang & Li, Yong-Yi, 2021. "Oil price shocks, geopolitical risks, and green bond market dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    11. Narayan, Paresh Kumar & Narayan, Seema & Mishra, Sagarika, 2013. "Has the structural break slowed down growth rates of stock markets?," Economic Modelling, Elsevier, vol. 30(C), pages 595-601.
    12. Kyriazis, Nikolaos & Papadamou, Stephanos & Tzeremes, Panayiotis & Corbet, Shaen, 2024. "Quantifying spillovers and connectedness among commodities and cryptocurrencies: Evidence from a Quantile-VAR analysis," Journal of Commodity Markets, Elsevier, vol. 33(C).
    13. Roy, Rudra Prosad & Sinha Roy, Saikat, 2017. "Financial contagion and volatility spillover: An exploration into Indian commodity derivative market," Economic Modelling, Elsevier, vol. 67(C), pages 368-380.
    14. Mensi, Walid & Vo, Xuan Vinh & Kang, Sang Hoon, 2023. "Quantile spillovers and connectedness analysis between oil and African stock markets," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 60-83.
    15. Karim, Sitara & Shafiullah, Muhammad & Naeem, Muhammad Abubakr, 2024. "When one domino falls, others follow: A machine learning analysis of extreme risk spillovers in developed stock markets," International Review of Financial Analysis, Elsevier, vol. 93(C).
    16. Ahmed, Walid M.A., 2021. "How do Islamic equity markets respond to good and bad volatility of cryptocurrencies? The case of Bitcoin," Pacific-Basin Finance Journal, Elsevier, vol. 70(C).
    17. Bu, Hui & Tang, Wenjin & Wu, Junjie, 2019. "Time-varying comovement and changes of comovement structure in the Chinese stock market: A causal network method," Economic Modelling, Elsevier, vol. 81(C), pages 181-204.
    18. González, Maria de la O. & Jareño, Francisco & Skinner, Frank S., 2021. "Asymmetric interdependencies between large capital cryptocurrency and Gold returns during the COVID-19 pandemic crisis," International Review of Financial Analysis, Elsevier, vol. 76(C).
    19. Chen, Yan & Zhang, Lei & Bouri, Elie, 2024. "Co-Bubble transmission across clean and dirty Cryptocurrencies: Network and portfolio analysis," Journal of International Money and Finance, Elsevier, vol. 145(C).
    20. Mensi, Walid & Rehman, Mobeen Ur & Vo, Xuan Vinh & Kang, Sang Hoon, 2024. "Spillovers and multiscale relationships among cryptocurrencies: A portfolio implication using high frequency data," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 449-479.

    More about this item

    Keywords

    Industrial metals; Cryptocurrencies; Interdependence; Market plunge; Wavelets; Uncertainty; Investor sentiments;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management

    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:spr:epolin:v:51:y:2024:i:4:d:10.1007_s40812-024-00315-2. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.