IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v18y2025i1p20-d1561172.html
   My bibliography  Save this article

Stablecoin: A Story of (In)Stabilities and Co-Movements Written Through Wavelet

Author

Listed:
  • Rubens Moura de Carvalho

    (Institute of Accounting and Administration, University of Aveiro, 3810-193 Aveiro, Portugal)

  • Helena Coelho Inácio

    (Higher Institute of Accounting and Administration, University of Aveiro, 3810-193 Aveiro, Portugal
    GOVCOPP-Research Unit on Governance Competitiveness and Public Policies, University of Aveiro, 3810-193 Aveiro, Portugal)

  • Rui Pedro Marques

    (Higher Institute of Accounting and Administration, University of Aveiro, 3810-193 Aveiro, Portugal
    GOVCOPP-Research Unit on Governance Competitiveness and Public Policies, University of Aveiro, 3810-193 Aveiro, Portugal)

Abstract

Stablecoins are crypto assets designed to maintain stable value by bridging fiat currencies and volatile crypto assets. Our study extends previous research by analyzing the instability and co-movement of major stablecoins (USDT, USDC, DAI, and TUSD) during significant economic events such as the COVID-19 pandemic and the collapses of Iron Finance, Terra-Luna, FTX, and Silicon Valley Bank (SVB). We investigated the temporal volatility and dynamic connections between stablecoins using wavelet techniques. Our results showed that the announcement of USDT’s listing on Coinbase in April 2021 significantly impacted the stability of stablecoins, evidenced by a decline in the power spectrum. This phenomenon has not been explored in the literature. Furthermore, the collapse of SVB was highly relevant to the stablecoin market. We observed high coherence between pairs during the pandemic, the Coinbase listing, and the collapse of SVB. After the collapse of Terra-Luna, USDT, USDC, and DAI became more connected in the medium term, with USDC and DAI extending in the long term despite a negative co-movement between USDT and the others. This study highlights the impact of exchange listings on the volatility of stablecoins, with implications for investors, regulators, and the cryptocurrency community, especially regarding the stability and safe integration of these assets into the financial system.

Suggested Citation

  • Rubens Moura de Carvalho & Helena Coelho Inácio & Rui Pedro Marques, 2025. "Stablecoin: A Story of (In)Stabilities and Co-Movements Written Through Wavelet," JRFM, MDPI, vol. 18(1), pages 1-16, January.
  • Handle: RePEc:gam:jjrfmx:v:18:y:2025:i:1:p:20-:d:1561172
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/18/1/20/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1911-8074/18/1/20/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ali, Shoaib & Moussa, Faten & Youssef, Manel, 2023. "Connectedness between cryptocurrencies using high-frequency data: A novel insight from the Silicon Valley Banks collapse," Finance Research Letters, Elsevier, vol. 58(PB).
    2. Lyons, Richard K. & Viswanath-Natraj, Ganesh, 2023. "What keeps stablecoins stable?," Journal of International Money and Finance, Elsevier, vol. 131(C).
    3. Syuhada, Khreshna & Hakim, Arief & Suprijanto, Djoko & Muchtadi-Alamsyah, Intan & Arbi, Lukman, 2022. "Is Tether a safe haven of safe haven amid COVID-19? An assessment against Bitcoin and oil using improved measures of risk," Resources Policy, Elsevier, vol. 79(C).
    4. Luís Aguiar-Conraria & Maria Joana Soares, 2014. "The Continuous Wavelet Transform: Moving Beyond Uni- And Bivariate Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 344-375, April.
    5. Bouri, Elie & Kamal, Elham & Kinateder, Harald, 2023. "FTX Collapse and systemic risk spillovers from FTX Token to major cryptocurrencies," Finance Research Letters, Elsevier, vol. 56(C).
    6. Klaudia Jarno & Hanna Kołodziejczyk, 2021. "Does the Design of Stablecoins Impact Their Volatility?," JRFM, MDPI, vol. 14(2), pages 1-14, January.
    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. Mahmut Bağcı & Pınar Kaya Soylu & Selçuk Kıran, 2024. "The Symmetric and Asymmetric Algorithmic Trading Strategies for the Stablecoins," Computational Economics, Springer;Society for Computational Economics, vol. 64(5), pages 2663-2684, November.
    2. Ali, Shoaib & Naveed, Muhammad & Yousaf, Imran & Khattak, Muhammad Sualeh, 2024. "From cryptos to consciousness: Dynamics of return and volatility spillover between green cryptocurrencies and G7 markets," Finance Research Letters, Elsevier, vol. 60(C).
    3. Lubos Hanus & Lukas Vacha, 2015. "Business cycle synchronization of the Visegrad Four and the European Union," Working Papers IES 2015/19, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2015.
    4. Marfatia, Hardik A., 2017. "A fresh look at integration of risks in the international stock markets: A wavelet approach," Review of Financial Economics, Elsevier, vol. 34(C), pages 33-49.
    5. Monge, Manuel & Gil-Alana, Luis A. & Pérez de Gracia, Fernando, 2017. "U.S. shale oil production and WTI prices behaviour," Energy, Elsevier, vol. 141(C), pages 12-19.
    6. Roman Mestre, 2021. "A wavelet approach of investing behaviors and their effects on risk exposures," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-37, December.
    7. Gadzinski, Gregory & Castello, Alessio & Mazzorana, Florie, 2023. "Stablecoins: Does design affect stability?," Finance Research Letters, Elsevier, vol. 53(C).
    8. Yaqi Wu & Chen Zhang & Po Yun & Dandan Zhu & Wei Cao & Zulfiqar Ali Wagan, 2021. "Time–frequency analysis of the interaction mechanism between European carbon and crude oil markets," Energy & Environment, , vol. 32(7), pages 1331-1357, November.
    9. Łęt, Blanka & Sobański, Konrad & Świder, Wojciech & Włosik, Katarzyna, 2023. "What drives the popularity of stablecoins? Measuring the frequency dynamics of connectedness between volatile and stable cryptocurrencies," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    10. Loretta Mastroeni & Alessandro Mazzoccoli & Greta Quaresima & Pierluigi Vellucci, 2021. "Wavelet analysis and energy-based measures for oil-food price relationship as a footprint of financialisation effect," Papers 2104.11891, arXiv.org, revised Mar 2022.
    11. Naveed, Muhammad & Ali, Shoaib & Gubareva, Mariya & Omri, Anis, 2024. "When giants fall: Tracing the ripple effects of Silicon Valley Bank (SVB) collapse on global financial markets," Research in International Business and Finance, Elsevier, vol. 67(PA).
    12. Ko, Jun-Hyung & Lee, Chang-Min, 2015. "International economic policy uncertainty and stock prices: Wavelet approach," Economics Letters, Elsevier, vol. 134(C), pages 118-122.
    13. Wen-Yi Chen, 2016. "Health progress and economic growth in the USA: the continuous wavelet analysis," Empirical Economics, Springer, vol. 50(3), pages 831-855, May.
    14. Monge, Manuel & Claudio-Quiroga, Gloria & Poza, Carlos, 2024. "Chinese economic behavior in times of covid-19. A new leading economic indicator based on Google trends," International Economics, Elsevier, vol. 177(C).
    15. Aguiar-Conraria Luís & Brinca Pedro & Guðjónsson Haukur Viðar & Soares Maria Joana, 2017. "Business cycle synchronization across U.S. states," The B.E. Journal of Macroeconomics, De Gruyter, vol. 17(1), pages 1-15, January.
    16. Anand, B. & Paul, Sunil & Ramachandran, M., 2014. "Volatility Spillover between Oil and Stock Market Returns," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 49(1), pages 37-56.
    17. Panos Fousekis & Vasilis Grigoriadis, 2016. "Price co-movement in the principal skim milk powder producing regions: a wavelet analysis," Economics Bulletin, AccessEcon, vol. 36(1), pages 477-492.
    18. Aguiar-Conraria, Luís & Martins, Manuel M.F. & Soares, Maria Joana, 2020. "Okun’s Law across time and frequencies," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    19. Funashima, Yoshito, 2016. "The Fed-induced political business cycle: Empirical evidence from a time–frequency view," Economic Modelling, Elsevier, vol. 54(C), pages 402-411.
    20. Mastroeni, Loretta & Mazzoccoli, Alessandro & Vellucci, Pierluigi, 2024. "Wavelet entropy and complexity–entropy curves approach for energy commodity price predictability amid the transition to alternative energy sources," Chaos, Solitons & Fractals, Elsevier, vol. 184(C).

    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:gam:jjrfmx:v:18:y:2025:i:1:p:20-:d:1561172. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.