Where is the Information on USD/Bitcoin Hourly Prices?
Helder Sebastião,
António Portugal Duarte and
Gabriel Guerreiro
Additional contact information
Gabriel Guerreiro: Faculdade de Economia Universidade de Coimbra
Notas Económicas, 2017, issue 45, 7-25
Abstract:
This paper analyses the price discovery in the USD/Bitcoin market since Mar -2014 to Nov -2016. The results show a positive relationship between the informational relevance of exchanges and their market shares. Information is mostly transmitted between exchanges within an hour, at least for the main exchanges, although lagged feedbacks occur from the major exchanges. Minor exchanges are merely satellite ones and react to price information with some delay. Bitfinex is the most important exchange: the lagged feedback from this exchange to the market is 18.3%, while the reverse feedback accounts only for 0.6% of the total feedback. Volatility in the major exchanges is the main factor explaining the feedback measures, which sustains the claim that the relative importance of the information -based component of volatility increases with the relative dimension of the exchange.
Keywords: Bitcoin; price discovery; high frequency; Geweke feedback measures; volume; volatility. (search for similar items in EconPapers)
JEL-codes: F13 G12 G14 G15 (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
https://impactum-journals.uc.pt/notaseconomicas/article/view/2183-203X_45_1/4293 (application/pdf)
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:gmf:journl:y:2017:i:45:p:7:25
DOI: 10.14195/2183-203X_45_1
Access Statistics for this article
Notas Económicas is currently edited by Pedro Cerqueira and Carlos Carreira
More articles in Notas Económicas from Faculty of Economics, University of Coimbra Contact information at EDIRC.
Bibliographic data for series maintained by Sofia Antunes ().