Caporale, Guglielmo Maria Gil-Alaña, Luis A. Plastun, Alex
Year of Publication:
CESifo Working Paper 6811
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.
crypto currency BitCoin persistence long memory R/S analysis fractional integration