Persistence in the cryptocurrency market

Guglielmo Maria Caporale, Luis Gil-Alana and Alex Plastun

Research in International Business and Finance, 2018, vol. 46, issue C, 141-148

Abstract: This paper examines persistence in the cryptocurrency market. Two different long-memory methods (R/S analysis and fractional integration) are used to analyse it in the case of the four main cryptocurrencies (BitCoin, LiteCoin, Ripple, Dash) over the sample period 2013–2017. The findings indicate that this market exhibits persistence (there is a positive correlation between its past and future values), and that its degree changes over time. Such predictability represents evidence of market inefficiency: trend trading strategies can be used to generate abnormal profits in the cryptocurrency market.

Keywords: Crypto currency; BitCoin; Persistence; Long memory; R/S analysis; Fractional integration; C22; G12 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (110)

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Related works:
Working Paper: Persistence in the Cryptocurrency Market (2017)
Working Paper: Persistence in the Cryptocurrency Market (2017)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:riibaf:v:46:y:2018:i:c:p:141-148

DOI: 10.1016/j.ribaf.2018.01.002

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