Persistence in the Cryptocurrency Market

Arbeitspapier

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.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: CESifo Working Paper ; No. 6811

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes ; Asset Pricing; Trading Volume; Bond Interest Rates
• Thema: crypto currency ; BitCoin ; persistence ; long memory ; R/S analysis ; fractional integration

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Caporale, Guglielmo Maria ; Gil-Alaña, Luis A. ; Plastun, Alex
• Ereignis: Veröffentlichung
• (wer): Center for Economic Studies and ifo Institute (CESifo)
• (wo): Munich
• (wann): 2017

Weitere Informationen

• Handle: http://hdl.handle.net/10419/174934
• Letzte Aktualisierung: 10.03.2025, 11:45 MEZ