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Persistence in the Cryptocurrency Market

Discussion Papers 1703, 17 S.

Guglielmo Maria Caporale, Luis Gil-Alana, Alex Plastun

2017

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Abstract

This paper examines persistence in the cryptocurrency market. Two different longmemory 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.



JEL-Classification: C22;G12
Keywords: Crypto currency, BitCoin, persistence, long memory, R/S analysis, fractional integration
Frei zugängliche Version: (econstor)
http://hdl.handle.net/10419/172825

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