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An econometric investigation on the stability of stablecoins: Are these coins stable or is their stability just a flip of the coin?

Author

Listed:
  • Lala AlAsadi
  • Oluwasegun Bewaji
  • Aayush Gugnani
  • Tarush Gupta
  • Ronald Heijmans

Abstract

This paper investigates the volatility dynamics of USD-backed stablecoins, challenging the assumption of inherent stability. Using a multi-level econometric framework, including GARCH, SVAR, and TVP-VAR models, we analyze how stablecoins respond to macro-financial shocks such as monetary policy changes, market uncertainty, and crypto volatility. Results show that USDC and TUSD are highly sensitive to external disturbances, while USDT and DAI remain relatively resilient. Stablecoins primarily absorb volatility but become more connected to systemic risk during crises. Frequency-domain analysis reveals short-term spillovers dominate during stress events, with long-term integration increasing post-2021. The findings highlight the heterogeneous nature of stablecoins and their growing ties to traditional finance, underscoring the need for tailored regulation and ongoing monitoring to mitigate systemic vulnerabilities.

Suggested Citation

  • Lala AlAsadi & Oluwasegun Bewaji & Aayush Gugnani & Tarush Gupta & Ronald Heijmans, 2025. "An econometric investigation on the stability of stablecoins: Are these coins stable or is their stability just a flip of the coin?," Working Papers 846, DNB.
    • Handle: RePEc:dnb:dnbwpp:846
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    References listed on IDEAS

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    1. 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.
    2. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    3. Normandin, Michel & Phaneuf, Louis, 2004. "Monetary policy shocks:: Testing identification conditions under time-varying conditional volatility," Journal of Monetary Economics, Elsevier, vol. 51(6), pages 1217-1243, September.
    4. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    5. Lee, Yi-Hsi & Chiu, Yu-Fen & Hsieh, Ming-Hua, 2025. "Stablecoin depegging risk prediction," Pacific-Basin Finance Journal, Elsevier, vol. 90(C).
    6. 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.
    7. Sentana, Enrique & Fiorentini, Gabriele, 2001. "Identification, estimation and testing of conditionally heteroskedastic factor models," Journal of Econometrics, Elsevier, vol. 102(2), pages 143-164, June.
    8. Lennart Ante & Ingo Fiedler & Jan Marius Willruth & Fred Steinmetz, 2023. "A Systematic Literature Review of Empirical Research on Stablecoins," FinTech, MDPI, vol. 2(1), pages 1-14, January.
    9. Binh Nguyen Thanh & Thai Nguyen Vu Hong & Huy Pham & Thanh Nguyen Cong & Thu Pham Thi Anh, 2023. "Are the stabilities of stablecoins connected?," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(3), pages 515-525, September.
    10. Lanne, Markku & Saikkonen, Pentti, 2007. "A Multivariate Generalized Orthogonal Factor GARCH Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 61-75, January.
    11. Anneke Kosse & Marc Glowka & Ilaria Mattei & Tara Rice, 2023. "Will the real stablecoin please stand up?," BIS Papers, Bank for International Settlements, number 141, November.
    12. Agata Ferreira, 2021. "The Curious Case of Stablecoins—Balancing Risks and Rewards?," Journal of International Economic Law, Oxford University Press, vol. 24(4), pages 755-778.
    13. Marco Del Negro & Giorgio E. Primiceri, 2015. "Time Varying Structural Vector Autoregressions and Monetary Policy: A Corrigendum," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(4), pages 1342-1345.
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    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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