IDEAS home Printed from https://ideas.repec.org/p/fip/fedpwp/103156.html

Flight to Safety: Evaluating Stablecoin’s Role as a Safe-Haven Asset in DeFi Markets

Author

Listed:

Abstract

This study examines the impact of the stablecoin Tether (USDT) on systemic liquidity across the Ethereum and Bitcoin markets, utilizing an event study approach that integrates on-chain wallet data, pricing, and financial metrics. By analyzing cryptocurrency market responses to key protocol and market-moving events, augmented by nonlinear volatility models, we identify distinct, chain-specific flight-to-safety behaviors. Our results show that USDT acts as a primary liquidity lifeline for Ethereum holders during stress, particularly among retail investors, whereas its role for Bitcoin holders is more muted and stabilizing. Notably, we find stronger flight-to-safety evidence in Wrapped Bitcoin (Ethereum-based) than in native Bitcoin, highlighting that USDT’s function is network dependent. These findings imply that effective regulatory frameworks must be differentiated, accounting for chain-specific liquidity, investor composition, and risk dynamics, as a uniform approach would likely be systematically miscalibrated.

Suggested Citation

  • Alan Chernoff & Julapa Jagtiani & Nathaniel Yoshida, 2026. "Flight to Safety: Evaluating Stablecoin’s Role as a Safe-Haven Asset in DeFi Markets," Working Papers 26-24, Federal Reserve Bank of Philadelphia.
  • Handle: RePEc:fip:fedpwp:103156
    DOI: 10.21799/frbp.wp.2026.24
    as

    Download full text from publisher

    File URL: https://www.philadelphiafed.org/-/media/FRBP/Assets/working-papers/2026/wp26-24.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.21799/frbp.wp.2026.24?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
    ---><---

    References listed on IDEAS

    as
    1. Tobias Adrian & Richard K. Crump & Erik Vogt, 2019. "Nonlinearity and Flight‐to‐Safety in the Risk‐Return Trade‐Off for Stocks and Bonds," Journal of Finance, American Finance Association, vol. 74(4), pages 1931-1973, August.
    2. Imran Yousaf & Shoaib Ali, 2020. "Discovering interlinkages between major cryptocurrencies using high-frequency data: new evidence from COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-18, December.
    3. Rohan Kekre & Moritz Lenel, 2024. "The Flight to Safety and International Risk Sharing," American Economic Review, American Economic Association, vol. 114(6), pages 1650-1691, June.
    4. Tim Bollerslev & George Tauchen & Hao Zhou, 2009. "Expected Stock Returns and Variance Risk Premia," The Review of Financial Studies, Society for Financial Studies, vol. 22(11), pages 4463-4492, November.
    5. Emilio Barucci & Giancarlo Giuffra Moncayo & Daniele Marazzina, 2022. "Cryptocurrencies and stablecoins: a high-frequency analysis," Digital Finance, Springer, vol. 4(2), pages 217-239, September.
    6. Bonaparte, Yosef, 2023. "Introducing the Cryptocurrency VIX: CVIX✰," Finance Research Letters, Elsevier, vol. 54(C).
    7. Lieven Baele & Geert Bekaert & Koen Inghelbrecht & Min Wei, 2020. "Flights to Safety," The Review of Financial Studies, Society for Financial Studies, vol. 33(2), pages 689-746.
    8. Han, SeungOh, 2025. "Investor sentiment and cross-section of cryptocurrency returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 46(C).
    9. Han, SeungOh, 2024. "Nonlinear relationship between cryptocurrency returns and price sensitivity to market uncertainty," Finance Research Letters, Elsevier, vol. 68(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. Tobias Adrian & Richard K. Crump & Erik Vogt, 2019. "Nonlinearity and Flight‐to‐Safety in the Risk‐Return Trade‐Off for Stocks and Bonds," Journal of Finance, American Finance Association, vol. 74(4), pages 1931-1973, August.
    2. He, Zhiguo & Nagel, Stefan & Song, Zhaogang, 2022. "Treasury inconvenience yields during the COVID-19 crisis," Journal of Financial Economics, Elsevier, vol. 143(1), pages 57-79.
    3. Thomas M. Eisenbach & Gregory Phelan, 2022. "Fragility of Safe Asset Markets," Staff Reports 1026, Federal Reserve Bank of New York.
    4. Petar Sabtchevsky & Paul Whelan & Andrea Vedolin & Philippe Mueller, 2017. "Variance Risk Premia on Stocks and Bonds," 2017 Meeting Papers 1161, Society for Economic Dynamics.
    5. Bodilsen, Simon & Eriksen, Jonas N. & Grønborg, Niels S., 2021. "Asset pricing and FOMC press conferences," Journal of Banking & Finance, Elsevier, vol. 128(C).
    6. Lei, Heng & Xue, Minggao & Liu, Huiling & Ye, Jing, 2023. "Precious metal as a safe haven for global ESG stocks: Portfolio implications for socially responsible investing," Resources Policy, Elsevier, vol. 80(C).
    7. Mirco Rubin & Dario Ruzzi, 2020. "Equity tail risk in the treasury bond market," Temi di discussione (Economic working papers) 1311, Bank of Italy, Economic Research and International Relations Area.
    8. Chan Joshua C.C. & Fry-McKibbin Renée A. & Hsiao Cody Yu-Ling, 2019. "A regime switching skew-normal model of contagion," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 23(1), pages 1-24, February.
    9. Naresh Bansal & Robert A. Connolly & Chris Stivers, 2022. "Beta and size equity premia following a high‐VIX threshold," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(8), pages 1491-1517, August.
    10. Almeida, Dora & Dionísio, Andreia & Ferreira, Paulo & Aslam, Faheem & Quintino, Derick, 2025. "Information flow between asset classes during extreme events," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 671(C).
    11. Le, Thai Hong & Luu, Hiep Ngoc & Do, Dinh Dinh & Nguyen, Trung-Anh & Pham, Toan Canh, 2025. "On the connectedness between the uncertainty of central bank digital currency adoption and stablecoins," The North American Journal of Economics and Finance, Elsevier, vol. 79(C).
    12. Bekaert, Geert & Hoerova, Marie, 2016. "What do asset prices have to say about risk appetite and uncertainty?," Journal of Banking & Finance, Elsevier, vol. 67(C), pages 103-118.
    13. Iryna Kaminska & Matt Roberts-Sklar, 2015. "A global factor in variance risk premia and local bond pricing," Bank of England Staff Working Paper series 576, Bank of England.
    14. 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).
    15. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    16. Gu, Chen & Kurov, Alexander & Wolfe, Marketa Halova, 2018. "Relief Rallies after FOMC Announcements as a Resolution of Uncertainty," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 1-18.
    17. Elenev, Vadim & Law, Tzuo-Hann & Song, Dongho & Yaron, Amir, 2024. "Fearing the Fed: How wall street reads main street," Journal of Financial Economics, Elsevier, vol. 153(C).
    18. Toshiaki Ogawa & Masato Ubukata & Toshiaki Watanabe, 2020. "Stock Return Predictability and Variance Risk Premia around the ZLB," IMES Discussion Paper Series 20-E-09, Institute for Monetary and Economic Studies, Bank of Japan.
    19. Niculaescu, Corina E. & Sangiorgi, Ivan & Bell, Adrian R., 2023. "Does personal experience with COVID-19 impact investment decisions? Evidence from a survey of US retail investors," International Review of Financial Analysis, Elsevier, vol. 88(C).
    20. Zhengyang Jiang, 2024. "Exorbitant Privilege: A Safe-Asset View," CESifo Working Paper Series 11279, CESifo.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:fip:fedpwp:103156. 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: Beth Paul (email available below). General contact details of provider: https://edirc.repec.org/data/frbphus.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.