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Asymmetric mean reversion of Bitcoin price returns

Shaen Corbet () and Paraskevi Katsiampa

International Review of Financial Analysis, 2020, vol. 71, issue C

Abstract: Non-linearity is characterised by an asymmetric mean-reverting property, which has been found to be inherent in the short-term return dynamics of stocks. In this paper, we explore as to whether cryptocurrency returns, as represented by Bitcoin, exhibit similar asymmetric reverting patterns for minutely, hourly, daily and weekly returns between June 2010 and February 2018. We identify several differences in the behaviour of Bitcoin price returns in the pre- and post-$1000 sub-periods and evidence of asymmetric reverting patterns in the Bitcoin price returns under all the ANAR models employed, regardless of the data frequency considered. We also present evidence indicating stronger reverting behaviour of negative price returns in terms of both reverting speed and magnitude compared to positive returns and evidence of positive serial correlation with prior positive price returns. Finally, we also investigated asymmetries in Bitcoin price return series' persistence by employing higher order ANAR models, finding evidence of a higher persistence of positive returns than negative returns, a result that further supports the existence of asymmetric reverting behaviour in the Bitcoin price returns.

Keywords: Digital currencies; Cryptocurrency; Bitcoin; Short-horizon stock returns; Asymmetric reverting patterns (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1016/j.irfa.2018.10.004

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