bibtype J - Journal Article
ARLID 0583786
utime 20240402215315.8
mtime 20240307235959.9
SCOPUS 85169573939
WOS 001070239100001
DOI 10.1016/j.physa.2023.129084
title (primary) (eng) Assessing the impact of the Russia–Ukraine war on energy prices: A dynamic cross-correlation analysis
specification
page_count 21 s.
media_type P
serial
ARLID cav_un_epca*0257423
ISSN 0378-4371
title Physica. A : Statistical Mechanics and its Applications
volume_id 626
publisher
name Elsevier
keyword Crude oil
keyword Commodities
keyword Price dynamics
keyword Russia–Ukraine conflict
keyword Covid-19
author (primary)
ARLID cav_un_auth*0464872
name1 Inacio Jr.
name2 C. M. C.
country BR
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
share 30
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0464873
name1 David
name2 S. A.
country BR
source
url http://library.utia.cas.cz/separaty/2024/E/kristoufek-0583786.pdf
source
url https://www.sciencedirect.com/science/article/pii/S0378437123006398?via%3Dihub
cas_special
abstract (eng) The ongoing conflict between Russia and Ukraine has raised concerns about the stability of energy supplies from Russia, one of the largest crude oil, refined products and natural gas producers in the world. This study aims to assess the impact of the conflict on crude oil and refined product prices globally by applying bivariate and multivariate different cross-correlation methods to evaluate the prices relations covering three periods, namely (from February 2019 to February 2020, before Covid-19 pandemic and also before the Russia–Ukraine war), (from February 2021 to February 2022, during the Covid-19 pandemic and before the Russia–Ukraine war) and (from February 2022 to February 2023, during both the Covid-19 pandemic and Russia–Ukraine war). The results indicate a significant difference between and the other periods ( and ) for most bivariate pairs and multivariate groups. When comparing and , there was predominantly no significant difference for Heating Oil - Brent Crude Oil pair but a significant difference for Gasoil - Brent Crude Oil, suggesting a higher impact of the war on European diesel prices compared to the US diesel. Moreover, the adopted methods highlight the differential impacts and contagion effects observed in different energy commodities, emphasizing the complexity and unique dynamics within each market.
result_subspec WOS
RIV AH
FORD0 50000
FORD1 50200
FORD2 50206
reportyear 2024
num_of_auth 3
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0352120
confidential S
article_num 129084
mrcbC91 C
mrcbT16-e PHYSICSMULTIDISCIPLINARY
mrcbT16-j 0.527
mrcbT16-D Q2
arlyear 2023
mrcbU14 85169573939 SCOPUS
mrcbU24 PUBMED
mrcbU34 001070239100001 WOS
mrcbU63 cav_un_epca*0257423 Physica. A : Statistical Mechanics and its Applications 626 1 2023 0378-4371 1873-2119 Elsevier