bibtype J - Journal Article
ARLID 0517561
utime 20240103223131.9
mtime 20191210235959.9
DOI 10.5547/01956574.40.SI2.jbar
title (primary) (eng) Total, Asymmetric and Frequency Connectedness between Oil and Forex Markets
specification
page_count 18 s.
media_type P
serial
ARLID cav_un_epca*0250428
ISSN 0195-6574
title Energy Journal
volume_id 40
page_num 157-174
publisher
name International Association for Energy Economics
keyword Crude oil
keyword Forex market
keyword Volatility
keyword Connectedness
keyword Spillovers
keyword Semivariance
keyword Asymmetric effects
keyword Frequency connectedness
author (primary)
ARLID cav_un_auth*0242028
name1 Baruník
name2 Jozef
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*0222679
name1 Kočenda
name2 E.
country CZ
source
url http://library.utia.cas.cz/separaty/2019/E/barunik-0517561.pdf
source
url https://www.iaee.org/energyjournal/article/3233
cas_special
project
ARLID cav_un_auth*0384368
project_id GA19-15650S
agency GA ČR
country CZ
abstract (eng) We analyze total, asymmetric and frequency connectedness between oil and forex markets using high-frequency, intra-day data over the period 2007–2017. By employing variance decompositions and their spectral representation in combination with realized semivariances to account for asymmetric and frequency connectedness, we obtain interesting results. We show that divergence in monetary policy regimes affects forex volatility spillovers but that adding oil to a forex portfolio decreases the total connectedness of the mixed portfolio. Asymmetries in connectedness are relatively small. While negative shocks dominate forex volatility connectedness, positive shocks prevail when oil and forex markets are assessed jointly. Frequency connectedness is largely driven by uncertainty shocks and to a lesser extent by liquidity shocks, which impact long-term connectedness the most and lead to its dramatic increase during periods of distress.
result_subspec JINE
RIV AH
FORD0 50000
FORD1 50200
FORD2 50202
reportyear 2020
num_of_auth 2
mrcbC52 4 A hod 4ah 20231122144533.2
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0302891
cooperation
ARLID cav_un_auth*0295067
name Univerzita Karlova v Praze
institution UK
country CZ
mrcbC64 1 Department of Econometrics UTIA-B 50202 ECONOMICS
confidential S
article_num 3233
mrcbC91 C
mrcbT16-e ECONOMICS|ENERGYFUELS|ENVIRONMENTALSTUDIES
mrcbT16-j 0.845
mrcbT16-s 1.480
mrcbT16-B 55.825
mrcbT16-D Q2
mrcbT16-E Q1
arlyear 2019
mrcbTft \nSoubory v repozitáři: barunik-0517561.pdf
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 cav_un_epca*0250428 Energy Journal 0195-6574 1944-9089 Roč. 40 Special Issue 2 2019 157 174 International Association for Energy Economics