Can Ethereum predict Bitcoin’s volatility?

Maksim Teterin () and Anatoly Peresetsky
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Maksim Teterin: HSE University, Moscow, Russian Federation,

Applied Econometrics, 2025, vol. 77, 74-90

Abstract: Bitcoin and Ethereum are the two world’s largest cryptocurrencies. Their market capitalizations have recently peaked, making them more attractive to portfolio investors. As the cryptocurrency market is known for its high volatility nature, government institutions are also interested in this segment of the financial market for more comprehensive regulation. Volatility forecasting is a crucial part of both effective risk management and policy making process, particularly in the cryptocurrency market. This study focuses on using volatility measurements of one cryptocurrency as input for a realized volatility predictive model of the other, namely Bitcoin’s data for Ethereum and vice versa. This approach helps us to identify potential spillover effects, which could be useful for more accurate forecasting. To this end, we use univariate HAR-RV models with additional exogenous variables based on data from another cryptocurrency and then extend our analysis using vector models to account for potential joint effects. We employ various loss functions to examine the accuracy of the forecasts. All models are estimated using rolling windows to account for potential structural breaks, resulting in over 2000 out-of-sample forecast exercises for each model and cryptocurrency, based on historical high-frequency Bitcoin and Ethereum trading data from January 1, 2018 to June 23, 2024. We also employ the MCS procedure to study which model provides statistically smaller prediction errors.

Keywords: Bitcoin; Ethereum; realized volatility; volatility prediction; cryptocurrency; HAR-RV model; realized covariance (search for similar items in EconPapers)
JEL-codes: C32 C58 G15 G17 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:ris:apltrx:0516

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