bibtype J - Journal Article
ARLID 0449080
utime 20240103210943.3
mtime 20151027235959.9
WOS 000364439500004
SCOPUS 84936971968
DOI 10.1016/j.eneco.2015.05.018
title (primary) (eng) Are benefits from oil-stocks diversification gone? New evidence from a dynamic copula and high frequency data
specification
page_count 14 s.
media_type P
serial
ARLID cav_un_epca*0250426
ISSN 0140-9883
title Energy Economics
volume_id 51
volume 1 (2015)
page_num 31-44
publisher
name Elsevier
keyword Portfolio diversification
keyword Dynamic correlations
keyword High frequency data
keyword Time-varying copulas
keyword Commodities
author (primary)
ARLID cav_un_auth*0294289
name1 Avdulaj
name2 Krenar
full_dept (cz) Ekonometrie
full_dept (eng) Department of Econometrics
department (cz) E
department (eng) E
institution UTIA-B
full_dept Department of Econometrics
share 50%
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0242028
name1 Baruník
name2 Jozef
full_dept (cz) Ekonometrie
full_dept Department of Econometrics
department (cz) E
department E
institution UTIA-B
full_dept Department of Econometrics
garant K
share 50%
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2015/E/barunik-0449080.pdf
cas_special
project
project_id GA13-24313S
agency GA ČR
country CZ
ARLID cav_un_auth*0308909
project
project_id GA13-32263S
agency GA ČR
ARLID cav_un_auth*0292677
abstract (eng) Oil is perceived as a good diversification tool for stock markets. To fully understand this potential, we propose a new empirical methodology that combines generalized autoregressive score copula functions with high frequency data and allows us to capture and forecast the conditional time-varying joint distribution of the oil–stocks pair accurately. Our realized GARCH with time-varying copula yields statistically better forecasts of the dependence and quantiles of the distribution relative to competing models. Employing a recently proposed conditional diversification benefits measure that considers higher-order moments and nonlinear dependence from tail events, we document decreasing benefits from diversification over the past ten years. The diversification benefits implied by our empirical model are, moreover, strongly varied over time. These findings have important implications for asset allocation, as the benefits of including oil in stock portfolios may not be as large as perceived.
reportyear 2016
RIV AH
num_of_auth 2
mrcbC52 4 A hod 4ah 20231122141231.8
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0250755
mrcbC64 1 Department of Econometrics UTIA-B 50202 ECONOMICS
confidential S
mrcbT16-e ECONOMICS
mrcbT16-j 1.257
mrcbT16-s 2.812
mrcbT16-4 Q1
mrcbT16-B 74.9
mrcbT16-C 93.768
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arlyear 2015
mrcbTft \nSoubory v repozitáři: barunik-0449080.pdf
mrcbU14 84936971968 SCOPUS
mrcbU34 000364439500004 WOS
mrcbU63 cav_un_epca*0250426 Energy Economics 0140-9883 1873-6181 Roč. 51 č. 1 2015 31 44 Elsevier