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Tokenomics: How “Risky” are the Stablecoins?

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Listed:
  • Shah, Anand
  • Bahri, Anu

Abstract

This study proposes a new risk measure for stablecoins, that is based on the probability of the stablecoin’s price hitting a threshold exchange rate post which the stablecoin is subjected to the risk of “break the buck/ death spiral”. We also juxtapose the risk measure computed using different models - Vasicek, CIR, ARMA+GARCH and Vasicek+GARCH and suggest the policy implication of the estimated model parameters - rate of reversion (a) and long term mean exchange rate (b) for stablecoin issuers. The study compares the volatility behaviour of the stablecoins with that of the traditional cryptocurrency, Bitcoin, equity index, NASDAQ composite and fiat currency, EURO. Stablecoins tend to be “stable” barring the events such as Terra – Luna crisis, FTX Bankruptcy and Silicon Valley Bank crisis. Traditional asset backed stablecoins – Tether, USD Coin, Binance USD and True USD are less risky than the decentralized algorithmic stablecoin, FRAX and decentralized cryptoasset backed stablecoin, DAI. The proposed risk measure could be of utility to the stablecoin issuers of algorithmic and cryptoasset backed stablecoins and the regulators for setting the capital requirement to guard against the break the buck/ death spiral risk.

Suggested Citation

  • Shah, Anand & Bahri, Anu, 2023. "Tokenomics: How “Risky” are the Stablecoins?," MPRA Paper 119646, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:119646
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    References listed on IDEAS

    as
    1. Bullmann, Dirk & Klemm, Jonas & Pinna, Andrea, 2019. "In search for stability in crypto-assets: are stablecoins the solution?," Occasional Paper Series 230, European Central Bank.
    2. Lorenzo Cappiello & Robert F. Engle & Kevin Sheppard, 2006. "Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns," Journal of Financial Econometrics, Oxford University Press, vol. 4(4), pages 537-572.
    3. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    4. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    5. Vo, Lai Van & Le, Huong Thi Thu, 2023. "From Hero to Zero: The case of Silicon Valley Bank," Journal of Economics and Business, Elsevier, vol. 127(C).
    6. Lyons, Richard K. & Viswanath-Natraj, Ganesh, 2023. "What keeps stablecoins stable?," Journal of International Money and Finance, Elsevier, vol. 131(C).
    7. Baur, Dirk G. & Hoang, Lai T., 2021. "A crypto safe haven against Bitcoin," Finance Research Letters, Elsevier, vol. 38(C).
    8. Uhlig, Harald, 2022. "A Luna-tic Stablecoin Crash," CEPR Discussion Papers 17465, C.E.P.R. Discussion Papers.
    9. Heston, Steven L, 1993. "A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options," The Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 327-343.
    10. Bekaert, Geert & Wu, Guojun, 2000. "Asymmetric Volatility and Risk in Equity Markets," The Review of Financial Studies, Society for Financial Studies, vol. 13(1), pages 1-42.
    11. Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 931-955, September.
    12. Vasicek, Oldrich Alfonso, 1977. "Abstract: An Equilibrium Characterization of the Term Structure," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 12(4), pages 627-627, November.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Cryptocurrency; Stablecoins; Terra – Luna crisis; FTX Bankruptcy; Silicon Valley Bank crisis; Risk Measure; VaR; Vasicek; CIR; GARCH; Bitcoin; Tether; USD Coin; Binance USD; True USD; DAI; FRAX;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G01 - Financial Economics - - General - - - Financial Crises
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • 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

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