bibtype J - Journal Article
ARLID 0578729
utime 20240304105912.5
mtime 20231128235959.9
SCOPUS 85178233044
WOS 001130117000001
DOI 10.1016/j.jedc.2023.104793
title (primary) (eng) Dynamic industry uncertainty networks and the business cycle
specification
page_count 22 s.
media_type P
serial
ARLID cav_un_epca*0251195
ISSN 0165-1889
title Journal of Economic Dynamics & Control
volume_id 159
publisher
name Elsevier
keyword Financial uncertainty
keyword Industry network
keyword Options market
keyword Business cycle
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
garant K
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0398135
name1 Bevilacqua
name2 M.
country GB
author
ARLID cav_un_auth*0458703
name1 Faff
name2 R.
country AU
source
url http://library.utia.cas.cz/separaty/2023/E/barunik-0578729.pdf
source
url https://www.sciencedirect.com/science/article/pii/S0165188923001999?via%3Dihub
cas_special
project
project_id GX19-28231X
agency GA ČR
country CZ
ARLID cav_un_auth*0385135
abstract (eng) This paper identifies smoothly varying industry uncertainty networks from option prices that contain valuable information about business cycles, especially in terms of forecasting. Such information is stronger when the network is formed on uncertainty hubs, firms identified as the main contributors to uncertainty shocks. The stronger predictive ability of the hubs-based network is robust to a wide range of checks, the inclusion of a large set of controls, and is also confirmed out-of-sample.
reportyear 2025
RIV AH
result_subspec WOS
FORD0 50000
FORD1 50200
FORD2 50202
num_of_auth 3
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0347796
mrcbC61 1
confidential S
article_num 104793
mrcbC91 C
mrcbT16-e ECONOMICS
mrcbT16-j 1.202
mrcbT16-D Q2
arlyear 2024
mrcbU14 85178233044 SCOPUS
mrcbU24 PUBMED
mrcbU34 001130117000001 WOS
mrcbU63 cav_un_epca*0251195 Journal of Economic Dynamics & Control 159 1 2024 0165-1889 1879-1743 Elsevier