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Causality-in-mean and causality-in-variance among Bitcoin, Litecoin, and Ethereum

Author

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  • Eray Gemici
  • Müslüm Polat

Abstract

Purpose - This study aims to examine the volatility spillovers between Bitcoin (BTC), Litecoin (LTC) and Ethereum (ETH) as they are related to structural breaks. Design/methodology/approach - This study examines the daily period from August 7, 2015 to July 10, 2018 by conducting causality-in-mean and causality-in-variance tests among cryptocurrencies. Findings - The findings showed that there was one-way causality-in-mean from BTC to LTC and ETH, but there was no causality-in-mean from LTC and ETH to BTC. On the other hand, considering the structural breaks included in the variance equations, the estimation results showed that there were short-term causality-in-variance from LTC to BTC and long-term causality-in-variance from BTC to LTC. Originality/value - This study fills the gap by contributing in two ways. First, to the best of the authors’ knowledge, this is the first study that used the cross-correlation function (CCF) of causality to explore causality-in-variance among cryptocurrencies. Second, this study considers the structural breaks in variance in the return series.

Suggested Citation

  • Eray Gemici & Müslüm Polat, 2021. "Causality-in-mean and causality-in-variance among Bitcoin, Litecoin, and Ethereum," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 38(4), pages 861-872, April.
    • Handle: RePEc:eme:sefpps:sef-07-2020-0251
    DOI: 10.1108/SEF-07-2020-0251
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    More about this item

    Keywords

    Causality; Bitcoin; Ethereum; Litecoin; Volatility spillovers; C10; G15;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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