IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v75y2025ics0275531925000261.html

Spillover dynamics of digital assets during economic and political crises

Author

Listed:
  • Alnafisah, Hind
  • Almansour, Bashar Yaser
  • Elabed, Wajih
  • Jeribi, Ahmed

Abstract

Our study investigates the interconnectedness and spillover effects among cryptocurrencies, Non-Fungible Tokens (NFTs), and Decentralized Finance (DeFi) assets during crises, both endogenous like the Terra Luna and FTX crashes, and exogenous like the Covid-19 pandemic and the Russia-Ukraine Military conflict. Utilizing a Quantile Vector Autoregression (QVAR) methodology, we analyze the relationships among these variables, emphasizing the dynamics between cryptocurrencies, NFTs, and DeFi assets. Our analysis explores the presence of spillover effects leading up to and during these crises. Notably, during the COVID-19 pandemic, Binance Coin (BNB), Ethereum, and Bitcoin acted as net transmitters, whereas DeFi and NFT-related cryptocurrencies served as vulnerable net receivers. Conversely, in the Russia-Ukraine conflict, LINK, FTX, and Theta transitioned from transmitters to net receivers. In the Terra Luna crash, LINK remained a primary net receiver. During the FTX crash, FTX, Binance Coin (BNB), Maker (MKR), LINK, and Synthetix (SNX) consistently operated as major net receivers. These findings offer valuable insights for stakeholders, including investors, portfolio managers, and policymakers, shedding light on the evolving dynamics and interconnectedness of digital assets in crisis settings. Understanding these dynamics is crucial for informed risk management and the development of effective investment strategies.

Suggested Citation

  • Alnafisah, Hind & Almansour, Bashar Yaser & Elabed, Wajih & Jeribi, Ahmed, 2025. "Spillover dynamics of digital assets during economic and political crises," Research in International Business and Finance, Elsevier, vol. 75(C).
  • Handle: RePEc:eee:riibaf:v:75:y:2025:i:c:s0275531925000261
    DOI: 10.1016/j.ribaf.2025.102770
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531925000261
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ribaf.2025.102770?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. Syeda Beena Zaidi & Abidullah Khan & Shabeer Khan & Mohd Ziaur Rehman & Wadi B. Alonazi & Abul Ala Noman, 2023. "Connectedness between Pakistan’s Stock Markets with Global Factors: An Application of Quantile VAR Network Model," Mathematics, MDPI, vol. 11(19), pages 1-17, October.
    2. Chatziantoniou, Ioannis & Gabauer, David & Stenfors, Alexis, 2021. "Interest rate swaps and the transmission mechanism of monetary policy: A quantile connectedness approach," Economics Letters, Elsevier, vol. 204(C).
    3. Bouri, Elie & Gabauer, David & Gupta, Rangan & Tiwari, Aviral Kumar, 2021. "Volatility connectedness of major cryptocurrencies: The role of investor happiness," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    4. Khalfaoui, Rabeh & Mefteh-Wali, Salma & Dogan, Buhari & Ghosh, Sudeshna, 2023. "Extreme spillover effect of COVID-19 pandemic-related news and cryptocurrencies on green bond markets: A quantile connectedness analysis," International Review of Financial Analysis, Elsevier, vol. 86(C).
    5. Shaen Corbet & John W. Goodell & Samet Gunay & Kerem Kaskaloglu, 2023. "Are DeFi tokens a separate asset class from conventional cryptocurrencies?," Annals of Operations Research, Springer, vol. 322(2), pages 609-630, March.
    6. Stiassny, Alfred, 1996. "A Spectral Decomposition for Structural VAR Models," Empirical Economics, Springer, vol. 21(4), pages 535-555.
    7. Rabeh Khalfaoui & Nicolae Stef & Ben Arfi Wissal & Ben Jabeur Sami, 2022. "Dynamic spillover effects and connectedness among climate change, technological innovation, and uncertainty: Evidence from a quantile VAR network and wavelet coherence," Post-Print hal-03797571, HAL.
    8. Corbet, Shaen & Goodell, John W. & Günay, Samet, 2022. "What drives DeFi prices? Investigating the effects of investor attention," Finance Research Letters, Elsevier, vol. 48(C).
    9. Yousaf, Imran & Yarovaya, Larisa, 2022. "Herding behavior in conventional cryptocurrency market, non-fungible tokens, and DeFi assets," Finance Research Letters, Elsevier, vol. 50(C).
    10. Li, Dongxin & Hong, Yanran & Wang, Lu & Xu, Pengfei & Pan, Zhigang, 2022. "Extreme risk transmission among bitcoin and crude oil markets," Resources Policy, Elsevier, vol. 77(C).
    11. Ko, Hyungjin & Son, Bumho & Lee, Yunyoung & Jang, Huisu & Lee, Jaewook, 2022. "The economic value of NFT: Evidence from a portfolio analysis using mean–variance framework," Finance Research Letters, Elsevier, vol. 47(PA).
    12. Gunay, Samet & Goodell, John W. & Muhammed, Shahnawaz & Kirimhan, Destan, 2023. "Frequency connectedness between FinTech, NFT and DeFi: Considering linkages to investor sentiment," International Review of Financial Analysis, Elsevier, vol. 90(C).
    13. Aharon, David Y. & Demir, Ender, 2022. "NFTs and asset class spillovers: Lessons from the period around the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 47(PA).
    14. Qiao, Xingzhi & Zhu, Huiming & Tang, Yiding & Peng, Cheng, 2023. "Time-frequency extreme risk spillover network of cryptocurrency coins, DeFi tokens and NFTs," Finance Research Letters, Elsevier, vol. 51(C).
    15. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    16. Zhao, Mingguo & Park, Hail, 2024. "Quantile time-frequency spillovers among green bonds, cryptocurrencies, and conventional financial markets," International Review of Financial Analysis, Elsevier, vol. 93(C).
    17. Abakah, Emmanuel Joel Aikins & Wali Ullah, GM & Adekoya, Oluwasegun B. & Osei Bonsu, Christiana & Abdullah, Mohammad, 2023. "Blockchain market and eco-friendly financial assets: Dynamic price correlation, connectedness and spillovers with portfolio implications," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 218-243.
    18. Umar, Zaghum & Abrar, Afsheen & Zaremba, Adam & Teplova, Tamara & Vo, Xuan Vinh, 2022. "The Return and Volatility Connectedness of NFT Segments and Media Coverage: Fresh Evidence Based on News About the COVID-19 Pandemic," Finance Research Letters, Elsevier, vol. 49(C).
    19. Yousaf, Imran & Yarovaya, Larisa, 2022. "Static and dynamic connectedness between NFTs, Defi and other assets: Portfolio implication," Global Finance Journal, Elsevier, vol. 53(C).
    20. Awartani, Basel & Maghyereh, Aktham Issa, 2013. "Dynamic spillovers between oil and stock markets in the Gulf Cooperation Council Countries," Energy Economics, Elsevier, vol. 36(C), pages 28-42.
    21. Gunay, Samet & Kaskaloglu, Kerem, 2022. "Does utilizing smart contracts induce a financial connectedness between Ethereum and non-fungible tokens?," Research in International Business and Finance, Elsevier, vol. 63(C).
    22. Matkovskyy, Roman & Jalan, Akanksha & Dowling, Michael & Bouraoui, Taoufik, 2021. "From bottom ten to top ten: The role of cryptocurrencies in enhancing portfolio return of poorly performing stocks," Finance Research Letters, Elsevier, vol. 38(C).
    23. Baruník, Jozef & Kočenda, Evžen & Vácha, Lukáš, 2017. "Asymmetric volatility connectedness on the forex market," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 39-56.
    24. Karim, Sitara & Lucey, Brian M. & Naeem, Muhammad Abubakr & Uddin, Gazi Salah, 2022. "Examining the interrelatedness of NFTs, DeFi tokens and cryptocurrencies," Finance Research Letters, Elsevier, vol. 47(PB).
    25. Xu, Qiuhua & Zhang, Yixuan & Zhang, Ziyang, 2021. "Tail-risk spillovers in cryptocurrency markets," Finance Research Letters, Elsevier, vol. 38(C).
    26. Kumar, Sanjeev & Patel, Ritesh & Iqbal, Najaf & Gubareva, Mariya, 2023. "Interconnectivity among cryptocurrencies, NFTs, and DeFi: Evidence from the Russia-Ukraine conflict," The North American Journal of Economics and Finance, Elsevier, vol. 68(C).
    27. Abakah, Emmanuel Joel Aikins & Abdullah, Mohammad & Tiwari, Aviral Kumar & Wali Ullah, G M, 2024. "Asymmetric dynamics between geopolitical conflict sentiment and cryptomarkets," Research in International Business and Finance, Elsevier, vol. 69(C).
    28. Khalfaoui, Rabeh & Stef, Nicolae & Wissal, Ben Arfi & Sami, Ben Jabeur, 2022. "Dynamic spillover effects and connectedness among climate change, technological innovation, and uncertainty: Evidence from a quantile VAR network and wavelet coherence," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    29. Dowling, Michael, 2022. "Is non-fungible token pricing driven by cryptocurrencies?," Finance Research Letters, Elsevier, vol. 44(C).
    30. Cevik, Emrah Ismail & Gunay, Samet & Zafar, Muhammad Wasif & Destek, Mehmet Akif & Bugan, Mehmet Fatih & Tuna, Fatih, 2022. "The impact of digital finance on the natural resource market: Evidence from DeFi, oil, and gold," Resources Policy, Elsevier, vol. 79(C).
    31. Assaf, Ata & Charif, Husni & Demir, Ender, 2022. "Information sharing among cryptocurrencies: Evidence from mutual information and approximate entropy during COVID-19," Finance Research Letters, Elsevier, vol. 47(PA).
    32. 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.
    33. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    34. Goodell, John W. & Goutte, Stephane, 2021. "Diversifying equity with cryptocurrencies during COVID-19," International Review of Financial Analysis, Elsevier, vol. 76(C).
    35. Bouri, Elie & Shahzad, Syed Jawad Hussain & Roubaud, David & Kristoufek, Ladislav & Lucey, Brian, 2020. "Bitcoin, gold, and commodities as safe havens for stocks: New insight through wavelet analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 77(C), pages 156-164.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Le, Thai Hong & Pham, Dat Thanh & Le, Khanh Ngoc & Le, Anh Chi & Nguyen, Huong Mai Thi, 2026. "Mapping information flows among digital assets: An entropy and network-based study of cryptocurrencies, DeFi, and NFTs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 681(C).
    2. Kim, Dong-Jun & Noh, Eunjung & Choi, Sun-Yong, 2025. "Quantile spillover effects and sector dynamics in U.S. stock markets: Normal vs. extreme market conditions," Finance Research Letters, Elsevier, vol. 83(C).
    3. Ngo Thai Hung & Nguyen Tran The Dan & Tran Bui Hong Tuoi & Pham Thuy Anh & Nguyen Thuy Thanh Ngan & Luyen Nhat Tam, 2026. "Spillover effects between DeFi assets and ASEAN-6 stock markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 50(1), pages 1-30, December.

    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. Mbarek, Marouene & Msolli, Badreddine, 2025. "Tokens and cryptocurrencies: Evidence from asymmetric frequency connectedness approach," Research in International Business and Finance, Elsevier, vol. 77(PA).
    2. Elie Bouri & Matteo Foglia & Sayar Karmakar & Rangan Gupta, 2026. "Return‐Volatility Nexus in the Digital Asset Class: A Dynamic Multilayer Connectedness Analysis," Bulletin of Economic Research, Wiley Blackwell, vol. 78(2), pages 498-512, April.
    3. Nasir, Rana Muhammad & He, Feng & Asadi, Mehrad & Roubaud, David, 2026. "Spillover and return connectedness between uncertainties, digital assets, green bond, green and traditional energy markets: Evidence from quantile VAR," The North American Journal of Economics and Finance, Elsevier, vol. 81(C).
    4. Gunay, Samet & Goodell, John W. & Muhammed, Shahnawaz & Kirimhan, Destan, 2023. "Frequency connectedness between FinTech, NFT and DeFi: Considering linkages to investor sentiment," International Review of Financial Analysis, Elsevier, vol. 90(C).
    5. Proelss, Juliane & Sévigny, Stéphane & Schweizer, Denis, 2023. "GameFi: The perfect symbiosis of blockchain, tokens, DeFi, and NFTs?," International Review of Financial Analysis, Elsevier, vol. 90(C).
    6. Nourhaine Nefzi & Abir Melki & Sahar Loukil & Ahmed Jeribi, 2026. "How do cryptocurrencies connect? Insights from conventional cryptocurrencies, DeFi, NFTs, and gold-backed cryptocurrencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 12(1), pages 1-23, December.
    7. 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.
    8. Rayenda Khresna Brahmana & Xiu Wei Yeap & Hooi Hooi Lean, 2025. "Correction To: Time–Frequency Connectedness Among NFT Assets," Computational Economics, Springer;Society for Computational Economics, vol. 66(6), pages 5015-5015, December.
    9. Hussain, Sabbor & Chen, Jo-Hui, 2025. "The return and volatility spillovers among decentralized finance (DeFi) assets," Research in International Business and Finance, Elsevier, vol. 79(C).
    10. Mbarek, Marouene & Msolli, Badreddine, 2025. "Assessing linkages between supply chain tokens and other assets: Evidence from a time-frequency quantile connectedness approach," Journal of Behavioral and Experimental Finance, Elsevier, vol. 46(C).
    11. Shoaib Ali & Youssef Manel, 2025. "Unlocking the diversification benefits of DeFi for ASEAN stock market portfolios: a quantile study," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-26, December.
    12. Ata Assaf & Ender Demir & Oguz Ersan, 2025. "What drives the return and volatility spillover between DeFis and cryptocurrencies?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 1302-1318, April.
    13. Zhang, Wenting & Liu, Tiantian & Zhang, Yulian & Hamori, Shigeyuki, 2024. "Can NFTs hedge the risk of traditional assets after the COVID-19 pandemic?," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    14. Abdullah, Mohammad & Sarker, Provash Kumer & Abakah, Emmanuel Joel Aikins & Tiwari, Aviral Kumar & Rehman, Mohd Ziaur, 2024. "Tail risk intersection between tech-tokens and tech-stocks," Global Finance Journal, Elsevier, vol. 61(C).
    15. Aysan, Ahmet Faruk & Batten, Jonathan & Gozgor, Giray & Khalfaoui, Rabeh & Nanaeva, Zhamal, 2024. "Metaverse and financial markets: A quantile-time-frequency connectedness analysis," Research in International Business and Finance, Elsevier, vol. 72(PB).
    16. Lei, Heng & Xue, Minggao & Ye, Jing, 2024. "The nexus between ReFi, carbon, fossil energy, and clean energy assets: Quantile time–frequency connectedness and portfolio implications," Energy Economics, Elsevier, vol. 132(C).
    17. Billah, Mabruk, 2025. "Unraveling financial interconnectedness: A quantile VAR model analysis of AI-based assets, sukuk, and islamic equity indices," Research in International Business and Finance, Elsevier, vol. 75(C).
    18. Ali, Shoaib & Al-Nassar, Nassar S. & Naveed, Muhammad, 2024. "Bridging the gap: Uncovering static and dynamic relationships between digital assets and BRICS equity markets," Global Finance Journal, Elsevier, vol. 60(C).
    19. Jareño, Francisco & Yousaf, Imran, 2023. "Artificial intelligence-based tokens: Fresh evidence of connectedness with artificial intelligence-based equities," International Review of Financial Analysis, Elsevier, vol. 89(C).
    20. Ho, Kin-Hon & Law, Monica & Hou, Yun & Chan, Tse-Tin, 2024. "Spillover analysis on NFTs, NFT-affiliated tokens and NFT submarkets," Finance Research Letters, Elsevier, vol. 60(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

    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:eee:riibaf:v:75:y:2025:i:c:s0275531925000261. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ribaf .

    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.