IDEAS home Printed from https://ideas.repec.org/a/kap/compec/v66y2025i3d10.1007_s10614-024-10778-z.html
   My bibliography  Save this article

Time-Varying and Frequency-Based Spillover Connectedness Between Cryptocurrencies and Non-ferrous Industrial Metals in Light of Market Plummets

Author

Listed:
  • John Kingsley Woode

    (University of Cape Coast)

  • Peterson Owusu Junior

    (University of Cape Coast)

  • Anthony Adu-Asare Idun

    (University of Cape Coast)

  • Seyram Kawor

    (University of Cape Coast)

  • John Bambir

    (University of Cape Coast)

  • Anokye M. Adam

    (University of Cape Coast)

Abstract

We examined the dynamic connectedness between the most capitalized and tradable cryptos (Bitcoin, Binance, Dashcoin, Ethereum, Litecoin, Monero, Ripple, and Tether) and the most significant and highly traded non-ferrous industrial metals (aluminium, copper, lead, nickel, tin, and zinc) affected by the “nickel crash.” The study period spans January 2017 to December 2023 through the Baruník and Křehlík spillover index (BKSCI), with further insight from the TVP-VAR approach and the Diks and Panchenko causality test. Through the BKSCI, we revealed a feeble yet comparatively superior connectedness among the sample markets in the very short term, with the long term characterized by depleting influence. The result was marred by risk persistence with limited inter-asset transmissions, with cryptos (Tether Dashcoin, Ripple, and Binance) and metals (nickel, lead, and tin) being dominant, while nickel remains the only metal with the capacity to transmit shocks to Monero. Cryptos (Bitcoin, Ethereum, Litecoin, and Monero) transmit significant shocks amongst themselves, while the sample metals exhibited a similar pattern across varying frequencies, which further found substantiation through the TVP-VAR approach. The sampled markets, excluding Bitcoin, Ethereum, Tether, nickel, and zinc, acted as receivers of systemic shocks, with the aforementioned assets serving as transmitters with minor variations, particularly in the medium term. The study further infers the absence of contagion among the sample assets, which suggests diversification prospects given the limited cross-asset transmissions. These findings were corroborated by TVP-VAR, influenced by market-specific crises, including the crypto and nickel crashes, and several global events such as the pandemic, Brexit formalization, and the Russia-Ukraine conflicts. Further validation was provided through the nonlinear causality test of Diks and Panchenko, with a few exceptions. These results have implications for investors, speculators, crypto and metal market-regulating countries and firms, guiding policies, diversification strategies, and risk management.

Suggested Citation

  • John Kingsley Woode & Peterson Owusu Junior & Anthony Adu-Asare Idun & Seyram Kawor & John Bambir & Anokye M. Adam, 2025. "Time-Varying and Frequency-Based Spillover Connectedness Between Cryptocurrencies and Non-ferrous Industrial Metals in Light of Market Plummets," Computational Economics, Springer;Society for Computational Economics, vol. 66(3), pages 2225-2264, September.
  • Handle: RePEc:kap:compec:v:66:y:2025:i:3:d:10.1007_s10614-024-10778-z
    DOI: 10.1007/s10614-024-10778-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10614-024-10778-z
    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/s10614-024-10778-z?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

    for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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).
    3. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    4. Jozef Baruník & Tomáš Křehlík, 2018. "Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk," Journal of Financial Econometrics, Oxford University Press, vol. 16(2), pages 271-296.
    5. 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.
    6. Peterson Owusu Junior & Imhotep Alagidede & George Tweneboah, 2020. "Shape-shift contagion in emerging markets equities: evidence from frequency- and time-domain analysis," Economics and Business Letters, Oviedo University Press, vol. 9(3), pages 146-156.
    7. Antonakakis, Nikolaos & Gabauer, David & Gupta, Rangan & Plakandaras, Vasilios, 2018. "Dynamic connectedness of uncertainty across developed economies: A time-varying approach," Economics Letters, Elsevier, vol. 166(C), pages 63-75.
    8. Thobekile Qabhobho & Anokye M. Adam & Anthony Adu-Asare Idun & Emmanuel Asafo-Adjei & Ebenezer Boateng, 2023. "Exploring the Time-varying Connectedness and Contagion Effects among Exchange Rates of BRICS, Energy Commodities, and Volatilities," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 272-283, March.
    9. Bildirici, Melike E. & Sonustun, Bahri, 2021. "Chaotic behavior in gold, silver, copper and bitcoin prices," Resources Policy, Elsevier, vol. 74(C).
    10. 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.
    11. 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.
    12. Zynobia Barson & Peterson Owusu Junior & Anokye M. Adam & Emmanuel Asafo-Adjei & Mariya Gubareva, 2022. "Connectedness between Gold and Cryptocurrencies in COVID-19 Pandemic: A Frequency-Dependent Asymmetric and Causality Analysis," Complexity, Hindawi, vol. 2022, pages 1-17, April.
    13. Naeem, Muhammad Abubakr & Gul, Raazia & Farid, Saqib & Karim, Sitara & Lucey, Brian M., 2023. "Assessing linkages between alternative energy markets and cryptocurrencies," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 513-529.
    14. Zeng, Ting & Yang, Mengying & Shen, Yifan, 2020. "Fancy Bitcoin and conventional financial assets: Measuring market integration based on connectedness networks," Economic Modelling, Elsevier, vol. 90(C), pages 209-220.
    15. 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.
    16. Ali, Shoaib & Ijaz, Muhammad Shahzad & Yousaf, Imran & Li, Yanshuang, 2023. "Connectedness and portfolio management between renewable energy tokens and metals: Evidence from TVP-VAR approach," Energy Economics, Elsevier, vol. 127(PA).
    17. Toni Ahnert & Christoph Bertsch, 2022. "A Wake-Up Call Theory of Contagion [Asymmetric business cycles: theory and time-series evidence]," Review of Finance, European Finance Association, vol. 26(4), pages 829-854.
    18. 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).
    19. 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).
    20. 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).
    21. Diks, Cees & Panchenko, Valentyn, 2006. "A new statistic and practical guidelines for nonparametric Granger causality testing," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1647-1669.
    22. Isabel Trevino, 2020. "Informational Channels of Financial Contagion," Econometrica, Econometric Society, vol. 88(1), pages 297-335, January.
    23. 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).
    24. Mensi, Walid & Nekhili, Ramzi & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Quantile dependencies between precious and industrial metals futures and portfolio management," Resources Policy, Elsevier, vol. 73(C).
    25. Bianchi, Robert J. & Fan, John Hua & Todorova, Neda, 2020. "Financialization and de-financialization of commodity futures: A quantile regression approach," International Review of Financial Analysis, Elsevier, vol. 68(C).
    26. Huynh, Toan Luu Duc & Nasir, Muhammad Ali & Vo, Xuan Vinh & Nguyen, Thong Trung, 2020. "“Small things matter most”: The spillover effects in the cryptocurrency market and gold as a silver bullet," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    27. Fasanya, Ismail O. & Oyewole, Oluwatomisin J. & Oliyide, Johnson A., 2022. "Investors' sentiments and the dynamic connectedness between cryptocurrency and precious metals markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 347-364.
    28. Ji, Qiang & Bouri, Elie & Lau, Chi Keung Marco & Roubaud, David, 2019. "Dynamic connectedness and integration in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 257-272.
    29. Sumanjay Dutta & Parthajit Kayal & G. Balasubramnaian, 2023. "Volatility Spillover and Directionality in Cryptocurrency and Metal Markets," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 22(4), pages 464-485, December.
    30. Chowdhury, Md Shahedur R. & Damianov, Damian S. & Elsayed, Ahmed H., 2022. "Bubbles and crashes in cryptocurrencies: Interdependence, contagion, or asset rotation?," Finance Research Letters, Elsevier, vol. 46(PB).
    31. 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).
    32. Ugolini, Andrea & Reboredo, Juan C. & Mensi, Walid, 2023. "Connectedness between DeFi, cryptocurrency, stock, and safe-haven assets," Finance Research Letters, 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. 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.
    2. Mbarek, Marouene & Msolli, Badreddine, 2025. "Tokens and cryptocurrencies: Evidence from asymmetric frequency connectedness approach," Research in International Business and Finance, Elsevier, vol. 77(PA).
    3. 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).
    4. Chen, Bin-xia & Sun, Yan-lin, 2024. "Risk characteristics and connectedness in cryptocurrency markets: New evidence from a non-linear framework," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
    5. Haq, Inzamam Ul & Naeem, Muhammad Abubakr & Huo, Chunhui & Bakry, Walid, 2025. "Unveiling time-frequency linkages among diverse cryptocurrency classes and climate change concerns," International Review of Economics & Finance, Elsevier, vol. 99(C).
    6. Waqas Hanif & Hee-Un Ko & Linh Pham & Sang Hoon Kang, 2023. "Dynamic connectedness and network in the high moments of cryptocurrency, stock, and commodity markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-40, December.
    7. Sila, Jan & Kocenda, Evzen & Kristoufek, Ladislav & Kukacka, Jiri, 2024. "Good vs. bad volatility in major cryptocurrencies: The dichotomy and drivers of connectedness," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 96(C).
    8. Bhattacherjee, Purba & Mishra, Sibanjan & Kang, Sang Hoon, 2025. "Extreme frequency connectedness, determinants and portfolio analysis of major cryptocurrencies: Insights from quantile time-frequency approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 100(C).
    9. Yousaf, Imran & Cui, Jinxin & Ali, Shoaib, 2024. "Dynamic spillover between green cryptocurrencies and stocks: A portfolio implication," International Review of Economics & Finance, Elsevier, vol. 96(PB).
    10. Ahmed Bossman & Mariya Gubareva & Samuel Kwaku Agyei & Xuan Vinh Vo, 2024. "When you need them, they are not there: hedge capacities of cryptocurrencies disappear in downtrend markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-38, December.
    11. Greenwood-Nimmo, Matthew & Kočenda, Evžen & Nguyen, Viet Hoang, 2024. "Detecting statistically significant changes in connectedness: A bootstrap-based technique," Economic Modelling, Elsevier, vol. 140(C).
    12. Shah, Adil Ahmad & Sahay, Arvind, 2024. "Is gold a preferable diversifier of cleaner equity risk across diverse scenarios? Evidence from multidimensional connectedness and spillover measures," Energy, Elsevier, vol. 305(C).
    13. Al-Nassar, Nassar S. & Assaf, Rima & Chaibi, Anis & Makram, Beljid, 2024. "The nexus between mineral, renewable commodities, and regional stock sectors during health and military crises," Resources Policy, Elsevier, vol. 96(C).
    14. Mensi, Walid & Gubareva, Mariya & Kang, Sang Hoon, 2024. "Frequency connectedness between DeFi and cryptocurrency markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 12-27.
    15. Muhammad Tahir Suleman & Umaid A Sheikh & Emilios C. Galariotis & David Roubaud, 2025. "The impact of bitcoin fear and greed on good and bad network connectedness: the case of the US sectoral high frequency returns," Annals of Operations Research, Springer, vol. 347(1), pages 633-677, April.
    16. Pham, Son Duy & Do, Hung Xuan & Nepal, Rabindra & Jamasb, Tooraj, 2025. "Tail risk connectedness in the Australian National Electricity Markets: The impact of rare events," Energy Economics, Elsevier, vol. 141(C).
    17. Xu, Hao & Li, Songsong, 2023. "What impacts foreign capital flows to China's stock markets? Evidence from financial risk spillover networks," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 559-577.
    18. Ren, Yinghua & Zhao, Wanru & You, Wanhai & Zhu, Huiming, 2022. "Multiscale features of extreme risk spillover networks among global stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    19. Genc, Ismail H., 2022. "Are Indian Subcontinent remittance markets connected to each other?," Journal of Asian Economics, Elsevier, vol. 80(C).
    20. 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).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:kap:compec:v:66:y:2025:i:3:d:10.1007_s10614-024-10778-z. 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.