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Stablecoins as a crypto safe haven? Not all of them!

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  • Baumöhl, Eduard
  • Vyrost, Tomas

Abstract

We test the safe haven properties of the largest stablecoins (USDT, USDC, TUSD, PAX, DAI, GUSD) against the standard “nonstable” coins (BTC, ETH, XRP, BCH, LTC). Our dataset comprises high-frequency 1-minute data calculated as volume-weighted averages across 18 exchanges where these cryptocurrencies are traded, thus capturing the entire price movement around the world. Using a quantile coherency cross-spectral measure, we find that only TUSD, PAX, and GUSD can serve as safe havens.

Suggested Citation

  • Baumöhl, Eduard & Vyrost, Tomas, 2020. "Stablecoins as a crypto safe haven? Not all of them!," EconStor Preprints 215484, ZBW - Leibniz Information Centre for Economics.
    • Handle: RePEc:zbw:esprep:215484
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    References listed on IDEAS

    as
    1. Kurka, Josef, 2019. "Do cryptocurrencies and traditional asset classes influence each other?," Finance Research Letters, Elsevier, vol. 31(C), pages 38-46.
    2. Baumöhl, Eduard & Shahzad, Syed Jawad Hussain, 2019. "Quantile coherency networks of international stock markets," Finance Research Letters, Elsevier, vol. 31(C), pages 119-129.
    3. Jozef Baruník & Tobias Kley, 2019. "Quantile coherency: A general measure for dependence between cyclical economic variables," The Econometrics Journal, Royal Economic Society, vol. 22(2), pages 131-152.
    4. Bouri, Elie & Molnár, Peter & Azzi, Georges & Roubaud, David & Hagfors, Lars Ivar, 2017. "On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier?," Finance Research Letters, Elsevier, vol. 20(C), pages 192-198.
    5. Corbet, Shaen & Meegan, Andrew & Larkin, Charles & Lucey, Brian & Yarovaya, Larisa, 2018. "Exploring the dynamic relationships between cryptocurrencies and other financial assets," Economics Letters, Elsevier, vol. 165(C), pages 28-34.
    6. Tobias Kley & Stanislav Volgushev & Holger Dette & Marc Hallin, 2014. "Quantile Spectral Processes: Asymptotic Analysis and Inference," Working Papers ECARES ECARES 2014-07, ULB -- Universite Libre de Bruxelles.
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    Citations

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    Cited by:

    1. Djogbenou, Antoine & Inan, Emre & Jasiak, Joann, 2023. "Time-varying coefficient DAR model and stability measures for stablecoin prices: An application to Tether," Journal of International Money and Finance, Elsevier, vol. 139(C).
    2. Hampl, Filip & Vágnerová Linnertová, Dagmar & Horváth, Matúš, 2024. "Crypto havens during war times? Evidence from the Russian invasion of Ukraine," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
    3. Kliber, Agata, 2022. "Looking for a safe haven against American stocks during COVID-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    4. Matteo Cristofaro & Pier Luigi Giardino & Sanjay Misra & Quoc Trung Pham & Hai Hiep Phan, 2022. "Behavior or culture? Investigating the use of cryptocurrencies for electronic commerce across the USA and China," Management Research Review, Emerald Group Publishing Limited, vol. 46(3), pages 340-368, May.
    5. Luyao Zhang & Yulin Liu, 2021. "Optimal Algorithmic Monetary Policy," Papers 2104.07888, arXiv.org, revised Oct 2021.
    6. Lyons, Richard K. & Viswanath-Natraj, Ganesh, 2023. "What keeps stablecoins stable?," Journal of International Money and Finance, Elsevier, vol. 131(C).

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    More about this item

    Keywords

    cryptocurrencies; stablecoins; quantile dependence; cross-spectral analysis; diversification; safe haven;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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