2364-1428
bibtype V - Research Report
ARLID 0601896
utime 20241209120647.1
mtime 20241127235959.9
title (primary) (eng) Disentangling Timing Uncertainty of Event-Driven Connectedness among Oil-Based Energy Commodities
publisher
place Mnichov
name CESifo
pub_time 2024
specification
page_count 35 s.
media_type E
edition
name CESifo working papers
volume_id 11494/2024
keyword energy commodities
keyword crude oil
keyword volatility connectedness
keyword systemic events
keyword bootstrap-after-bootstrap procedure
author (primary)
ARLID cav_un_auth*0312139
name1 Kočenda
name2 Evžen
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
share 50
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0446430
name1 Bartušek
name2 D.
country CZ
source
url https://library.utia.cas.cz/separaty/2024/E/kocenda-0601896.pdf
cas_special
abstract (eng) Reported news events frequently influence the pricing dynamics of oil-based commodities. We analyze almost 900 oil-related events from 1987 to 2022, categorizing them based on recurring characteristics. We quantify dynamic connectedness among energy commodities and apply a novel bootstrap-after-bootstrap testing procedure to identify 21 statistically significant historical events that triggered abrupt and enduring increases in volatility connectedness. Geopolitical events are more consistently associated with elevated connectedness than economic events, while natural events do not exhibit a similar impact. Events share prevailing characteristics: their negativity, unexpected nature, and the introduction of concerns about oil supply shortages.
RIV AH
FORD0 50000
FORD1 50200
FORD2 50202
reportyear 2025
num_of_auth 2
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0359679
confidential S
arlyear 2024
mrcbU10 2024
mrcbU10 Mnichov CESifo