
This paper aims to investigate and measure Bitcoin and the five largest stablecoin market volatilities by incorporating various range-based volatility estimators to the BEKK- GARCH and Copula-DCC-GARCH models. Specifically, we further measure Bitcoins’ volatility related to five major stablecoins and examine the connectedness between Bitcoin and the stablecoins. Our empirical findings document that the connectedness between Bitcoin and stablecoin market volatility behaviors exhibits the presence of stable interconnection. This study is of particular importance since it is crucial for market participation in the ongoing crypto assets to be informed about both the volatility patterns of major cryptocurrencies and the relative volatility of Bitcoin against the stablecoin markets. Eventually, we find that there is no systematic evidence for the various parity deviations of the stablecoins that are profoundly impacted by Bitcoin volatility. Thus, Bitcoin and the largest stablecoin Tether could stabilize together. However, Bitcoin shall not be generalized to other stablecoins in terms of stability results.
decentralized finance, QA1-939, Copula-DCC-GARCH model, range-based volatility, range-based volatility; Copula-DCC-GARCH model; decentralized finance; Fintech, Mathematics, Fintech
decentralized finance, QA1-939, Copula-DCC-GARCH model, range-based volatility, range-based volatility; Copula-DCC-GARCH model; decentralized finance; Fintech, Mathematics, Fintech
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