bibtype J - Journal Article
ARLID 0507522
utime 20241106135742.0
mtime 20190812235959.9
SCOPUS 85070610508
WOS 000478444500001
DOI 10.1002/fut.22017
title (primary) (eng) Panel quantile regressions for estimating and predicting the value‐at‐risk of commodities
specification
page_count 23 s.
media_type P
serial
ARLID cav_un_epca*0251244
ISSN 0270-7314
title Journal of Futures Markets
volume_id 39
volume 9 (2019)
page_num 1167-1189
publisher
name Wiley
keyword implied volatility
keyword panel quantile regression
keyword realized volatility
keyword value‐at‐risk
author (primary)
ARLID cav_un_auth*0344057
full_dept Department of Econometrics
name1 Čech
name2 František
institution UTIA-B
full_dept (cz) Ekonometrie
full_dept (eng) Department of Econometrics
department (cz) E
department (eng) E
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0242028
full_dept Department of Econometrics
name1 Baruník
name2 Jozef
institution UTIA-B
full_dept (cz) Ekonometrie
full_dept Department of Econometrics
department (cz) E
department E
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2019/E/barunik-0507522.pdf
source
url https://onlinelibrary.wiley.com/doi/full/10.1002/fut.22017?af=R
cas_special
abstract (eng) Using a flexible panel quantile regression framework, we show how the future conditional quantiles of commodities returns depend on both ex post and ex ante uncertainty. Empirical analysis of the most liquid commodities covering main sectors, including energy, food, agriculture, and precious and industrial metals, reveal several important stylized facts. We document common patterns of the dependence between future quantile returns and ex post as well as ex ante volatilities. We further show that the conditional returns distribution is platykurtic. The approach can serve as a useful risk management tool for investors interested in commodity futures contracts.
RIV AH
FORD0 50000
FORD1 50200
FORD2 50206
reportyear 2020
num_of_auth 2
mrcbC52 4 A sml 4as 20241106135742.0
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0298673
cooperation
ARLID cav_un_auth*0359004
name IES FSV UK
country CZ
confidential S
contract
name COPYRIGHT TRANSFER AGREEMENT
date 20190422
mrcbC86 2 Article Business Finance
mrcbC91 A
mrcbT16-e BUSINESSFINANCE
mrcbT16-j 0.406
mrcbT16-s 0.693
mrcbT16-B 25.814
mrcbT16-D Q3
mrcbT16-E Q2
arlyear 2019
mrcbTft \nSoubory v repozitáři: barunik-0507522-LicenseCopy.pdf
mrcbU14 85070610508 SCOPUS
mrcbU24 PUBMED
mrcbU34 000478444500001 WOS
mrcbU63 cav_un_epca*0251244 Journal of Futures Markets 0270-7314 1096-9934 Roč. 39 č. 9 2019 1167 1189 Wiley