Price clustering in Bitcoin market—An extension

Xin Li, Shenghong Li and Chong Xu

Finance Research Letters, 2020, vol. 32, issue C

Abstract: This paper extends current literature on price clustering in Bitcoin market. We analyze intraday data of various time frames and document evidence of clustering for open, high and low prices. We discover and explain different patterns of clustering and their relation with the time frame. We further examine the effect of price level on these findings.

Keywords: Bitcoin; Cryptocurrency; Price clustering; Psychological barrier (search for similar items in EconPapers)
JEL-codes: G14 G15 G41 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1544612318305907
Full text for ScienceDirect subscribers only

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:finlet:v:32:y:2020:i:c:s1544612318305907

DOI: 10.1016/j.frl.2018.12.020

Access Statistics for this article

Finance Research Letters is currently edited by R. Gençay

More articles in Finance Research Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().