bibtype J - Journal Article
ARLID 0569560
utime 20240402213642.0
mtime 20230306235959.9
SCOPUS 85149920064
WOS 000943644900001
DOI 10.1186/s40854-023-00465-7
title (primary) (eng) Fundamental and speculative components of the cryptocurrency pricing dynamics
specification
page_count 23 s.
media_type E
serial
ARLID cav_un_epca*0525779
ISSN Financial Innovation
title Financial Innovation
volume_id 9
publisher
name Springer
keyword Cryptocurrency
keyword Crash
keyword Bitcoin
keyword Cusp catastrophe model
author (primary)
ARLID cav_un_auth*0293468
name1 Kukačka
name2 Jiří
institution UTIA-B
full_dept (cz) Ekonometrie
full_dept (eng) Department of Econometrics
department (cz) E
department (eng) E
full_dept Department of Econometrics
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0256902
name1 Krištoufek
name2 Ladislav
institution UTIA-B
full_dept (cz) Ekonometrie
full_dept Department of Econometrics
department (cz) E
department E
full_dept Department of Econometrics
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2023/E/kukacka-0569560.pdf
source
url https://jfin-swufe.springeropen.com/articles/10.1186/s40854-023-00465-7
cas_special
project
project_id GA20-17295S
agency GA ČR
ARLID cav_un_auth*0397556
abstract (eng) The driving forces behind cryptoassets’ price dynamics are often perceived as being dominated by speculative factors and inherent bubble-bust episodes. Fundamental components are believed to have a weak, if any, role in the price-formation process. This study examines five cryptoassets with different backgrounds, namely Bitcoin, Ethereum, Litecoin, XRP, and Dogecoin between 2016 and 2022. It utilizes the cusp catastrophe model to connect the fundamental and speculative drivers with possible price bifurcation characteristics of market collapse events. The findings show that the price and return dynamics of all the studied assets, except for Dogecoin, emerge from complex interactions between fundamental and speculative components, including episodes of price bifurcations. Bitcoin shows the strongest fundamentals, with on-chain activity and economic factors driving the fundamental part of the dynamics. Investor attention and off-chain activity drive the speculative component for all studied assets. Among the fundamental drivers, the analyzed cryptoassets present their coin-specific factors, which can be tracked to their protocol specifics and are economically sound.
result_subspec WOS
RIV AH
FORD0 50000
FORD1 50200
FORD2 50202
reportyear 2024
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0340959
confidential S
article_num 61
mrcbC91 A
mrcbT16-e BUSINESSFINANCE|SOCIALSCIENCESMATHEMATICALMETHODS
mrcbT16-j 0.963
mrcbT16-s 1.171
mrcbT16-D Q3
mrcbT16-E Q2
arlyear 2023
mrcbU14 85149920064 SCOPUS
mrcbU24 PUBMED
mrcbU34 000943644900001 WOS
mrcbU63 cav_un_epca*0525779 Financial Innovation Roč. 9 č. 1 2023 2199-4730 Springer