Time-varying coefficient DAR model and stability measures for stablecoin prices: An application to Tether
Antoine Djogbenou,
Emre Inan and
Joann Jasiak
Journal of International Money and Finance, 2023, vol. 139, issue C
Abstract:
This paper examines the dynamics of Tether, the stablecoin with the largest market capitalization. We show that the distributional and dynamic properties of Tether/USD rates have been evolving between 2017 - 2021. We use local analysis methods to detect local trends and time-varying volatility and persistence. To accommodate these dynamic patterns, we introduce the time-varying parameter Double Autoregressive tvDAR(1) process under the assumption of local stationarity of Tether/USD rates. We also propose a set of simple plug-in measures of stability based on the Lyapunov exponent for assessing and comparing the stability of Tether and other stablecoins. We show the consistency of stability measure estimators and study their distributional properties. The tvDAR model is estimated on Tether prices and compared with other stablecoins. We find that it provides good fit to data with time-varying persistence and volatility and produces reliable out-of-sample forecasts at short horizons. In the application, the proposed stability measures provide reliable indicators of local explosive patterns for stablecoin monitoring.
Keywords: Stablecoins; Tether; DAR model; Lyapunov exponent; Time-varying parameters; Conditional heteroskedasticity; Local stationarity (search for similar items in EconPapers)
JEL-codes: C13 C58 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
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Working Paper: Time-Varying Coefficient DAR Model and Stability Measures for Stablecoin Prices: An Application to Tether (2023) 
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jimfin:v:139:y:2023:i:c:s026156062300147x
DOI: 10.1016/j.jimonfin.2023.102946
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