Publication date: December 2019
Source: Finance Research Letters, Volume 31
Author(s): Marwane El Alaoui, Elie Bouri, David Roubaud
Abstract
We study the priceâvolume cross-correlation in the Bitcoin market from July 17, 2010, to May 2, 2018, via the multifractal detrended cross-correlations analysis (MF-DCCA). Results show that Bitcoin prices changes and changes in trading volume mutually interact in a nonlinear way. Furthermore, multifractality is present and significant. By bringing fractal market and nonlinear theories into the analysis of Bitcoin price-volume behavior, we characterize the underlying mechanisms (i.e., nonlinear dependency and multifractality) that govern Bitcoin market dynamics. This deepens our insights into the effectiveness of technical trading strategies in the complex market of Bitcoin that seems to lack efficiency.