Everything you always wanted to know about bitcoin modelling but were afraid to ask
Vera Sukhanovskaya and
MPRA Paper from University Library of Munich, Germany
Bitcoin is an open source decentralized digital currency and a payment system. It has raised a lot of attention and interest worldwide and an increasing number of articles are devoted to its operation, economics and financial viability. This article reviews the econometric and mathematical tools which have been proposed so far to model the bitcoin price and several related issues, highlighting advantages and limits. We discuss the methods employed to determine the main characteristics of bitcoin users, the models proposed to assess the bitcoin fundamental value, the econometric approaches suggested to model bitcoin price dynamics, the tests used for detecting the existence of financial bubbles in bitcoin prices and the methodologies suggested to study the price discovery at bitcoin exchanges.
Keywords: Bitcoin; Crypto-currencies; Hash rate; Investors' attractiveness; Social interactions; Money supply; Money Demand; Speculation; Forecasting; Algorithmic trading; Bubble; Price discovery. (search for similar items in EconPapers)
JEL-codes: C22 C32 C51 C53 E41 E42 E47 E51 G17 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-mac, nep-mon and nep-pay
Date: 2016, Revised 2016
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/71946/1/MPRA_paper_71946.pdf original version (application/pdf)
Journal Article: Everything you always wanted to know about bitcoin modelling but were afraid to ask. I (2016)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:71946
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Series data maintained by Joachim Winter ().