bibtype J - Journal Article
ARLID 0598958
utime 20241010095433.8
mtime 20241004235959.9
SCOPUS 85205421980
DOI 10.1016/j.intfin.2024.102062
title (primary) (eng) Good vs. bad volatility in major cryptocurrencies: The dichotomy and drivers of connectedness
specification
page_count 22 s.
media_type P
serial
ARLID cav_un_epca*0379526
ISSN 1042-4431
title JOURNAL OF INTERNATIONAL FINANCIAL MARKETS, INSTITUTIONS AND MONEY
volume_id 96
publisher
name Elsevier
keyword Volatility
keyword Dynamic connectedness
keyword Asymmetric effects
keyword Cryptocurrency
author (primary)
ARLID cav_un_auth*0457462
name1 Šíla
name2 Jan
institution UTIA-B
full_dept (cz) Ekonometrie
full_dept (eng) Department of Econometrics
department (cz) E
department (eng) E
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0312139
name1 Kočenda
name2 Evžen
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.
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.
author
ARLID cav_un_auth*0293468
name1 Kukačka
name2 Jiří
institution UTIA-B
full_dept (cz) Ekonometrie
full_dept Department of Econometrics
department (cz) E
department E
full_dept Department of Econometrics
country CZ
garant K
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url https://library.utia.cas.cz/separaty/2024/E/sila-0598958.pdf
cas_special
project
project_id GA23-06606S
agency GA ČR
country CZ
ARLID cav_un_auth*0458718
abstract (eng) Cryptocurrencies exhibit unique statistical and dynamic properties compared to those of traditional financial assets, making the study of their volatility crucial for portfolio managers and traders. We investigate the volatility connectedness dynamics of a representative set of eight major crypto assets. Methodologically, we decompose the measured volatility into positive and negative components and employ the time-varying parameters vector autoregression (TVP-VAR) framework to show distinct dynamics associated with market booms and downturns. Our findings indicate that crypto connectedness reflects important events and oscillates substantially while reaching lower limit values when compared to traditional financial markets. Periods of extremely high or low connectedness are clearly linked to specific events in the crypto market and macroeconomic or monetary history. Furthermore, existing asymmetry from good and bad volatility indicates that market downturns spill over substantially faster than comparable market surges. Overall, the connectedness dynamics are driven by a combination of both crypto (momentum, on-chain activity, off-chain activity) and legacy financial and economic (financial and economic uncertainty, and financial market performance) factors, while the asymmetry is more connected to the off-chain crypto activity and the combination of economic, financial, and monetary factors. In both the total connectedness and asymmetry modelling, these can serve as hands-on indicators to be further translated into specific portfolio re-balancing decisions, risk management, and regulatory frameworks.
result_subspec WOS
RIV AH
FORD0 50000
FORD1 50200
FORD2 50206
reportyear 2025
num_of_auth 4
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0356719
confidential S
article_num 102062
mrcbC91 C
mrcbT16-e BUSINESSFINANCE|ECONOMICS
mrcbT16-j 0.954
mrcbT16-D Q3
arlyear 2024
mrcbU14 85205421980 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 cav_un_epca*0379526 JOURNAL OF INTERNATIONAL FINANCIAL MARKETS, INSTITUTIONS AND MONEY 96 1 2024 1042-4431 1873-0612 Elsevier