Visibility graph analysis of Bitcoin price series
Keshi Liu,
Tongfeng Weng,
Changgui Gu and
Huijie Yang
Physica A: Statistical Mechanics and its Applications, 2020, vol. 538, issue C
Abstract:
The Bitcoin market attracts special attentions for its inspirational advantages over the traditional currency system. It can be regarded also as a typical social experiment of rare item markets. Analyzing the records for Bitcoin price can deepen our understanding of this market and provide us a useful reference for rare item markets. In this paper, by means of the visibility graph algorithm we display multi-scale patterns of visible relationships in Bitcoin volatility series. It is found that the visibility graph of Bitcoin is scale-free and has a hierarchical structure. At different time scales, the system works subsequently with an identical dynamical mechanism. These behaviors are shared by other virtual currencies and even the gold price series.
Keywords: Bitcoin price series; Visibility graph; Scale-free; Hierarchical structure (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437119316723
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: https://EconPapers.repec.org/RePEc:eee:phsmap:v:538:y:2020:i:c:s0378437119316723
DOI: 10.1016/j.physa.2019.122952
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 Catherine Liu ().