Economics at your fingertips  

Multiscale fluctuations and complexity synchronization of Bitcoin in China and US markets

Wen Fang, Shaolin Tian and Jun Wang

Physica A: Statistical Mechanics and its Applications, 2018, vol. 512, issue C, 109-120

Abstract: Bitcoin appeared as a currency, but it is treated as a speculative product due to its violent fluctuation. The main purpose of this article is to find out the fluctuations similarities and differences between China and US Bitcoin markets, as well as Bitcoin market and stock market by Econophysics. We use the multiscale composite complexity synchronization (MCCS) correlation to study the complexity synchronization of Bitcoin price and stock indices fluctuations in those two markets. And we use the multifractal detrended fluctuation analysis (MFDFA) to analyze the inner fractal features of each time series’s small and large fluctuations. The corresponding shuffled time series are also utilized to do the above two kinds of analysis, in order to distinguish what lead to the complexity synchronization and multifractal properties, the different long-range correlations for the times series’ small and large fluctuations or the probability density functions for fluctuations of those nonstationary times series, or both of them. By this study, we find that small fluctuations have the strong memory and synchronization while big fluctuations possess the weak memory and synchronization, and the Bitcoin market has greater synchronicity than the stock market, and large fluctuations in China financial market are persistent while they are anti-persistent in US market.

Keywords: Econophysics; Bitcoin market; Fluctuation behavior; Multiscale composite complexity synchronization; Multifractal detrended fluctuation analysis (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().

Page updated 2019-05-11
Handle: RePEc:eee:phsmap:v:512:y:2018:i:c:p:109-120