bibtype J - Journal Article
ARLID 0456184
utime 20240103211849.0
mtime 20160207235959.9
SCOPUS 84955063029
WOS 000369473300030
DOI 10.1016/j.ejor.2015.12.010
title (primary) (eng) Modeling and forecasting exchange rate volatility in time-frequency domain
specification
page_count 12 s.
media_type P
serial
ARLID cav_un_epca*0252893
ISSN 0377-2217
title European Journal of Operational Research
volume_id 251
volume 1 (2016)
page_num 329-340
publisher
name Elsevier
keyword Realized GARCH
keyword Wavelet decomposition
keyword Jumps
keyword Multi-period-ahead volatility forecasting
author (primary)
ARLID cav_un_auth*0242028
full_dept (cz) Ekonometrie
full_dept (eng) Department of Econometrics
department (cz) E
department (eng) E
full_dept Department of Econometrics
share 33
name1 Baruník
name2 Jozef
institution UTIA-B
garant A
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0327877
full_dept (cz) Ekonometrie
full_dept Department of Econometrics
department (cz) E
department E
full_dept Department of Econometrics
share 33
name1 Křehlík
name2 Tomáš
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101217
full_dept (cz) Ekonometrie
full_dept Department of Econometrics
department (cz) E
department E
full_dept Department of Econometrics
share 34
name1 Vácha
name2 Lukáš
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2016/E/barunik-0456184.pdf
cas_special
project
ARLID cav_un_auth*0292677
project_id GA13-32263S
agency GA ČR
project
ARLID cav_un_auth*0308905
project_id 612955
agency EC
abstract (eng) This paper proposes an enhanced approach to modeling and forecasting volatility using high frequency data. Using a forecasting model based on Realized GARCH with multiple time-frequency decomposed realized volatility measures, we study the influence of different timescales on volatility forecasts. The decomposition of volatility into several timescales approximates the behaviour of traders at corresponding investment horizons. The proposed methodology is moreover able to account for impact of jumps due to a recently proposed jump wavelet two scale realized volatility estimator. We propose a realized Jump-GARCH models estimated in two versions using maximum likelihood as well as observation-driven estimation framework of general- ized autoregressive score. We compare forecasts using several popular realized volatility measures on foreign exchange rate futures data covering the recent financial crisis.
RIV AH
reportyear 2017
num_of_auth 3
mrcbC52 4 A hod 4ah 20231122141530.0
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0260444
cooperation
ARLID cav_un_auth*0308308
name Institute of Economic Studies, Faculty of Social Sciences, Charles University in Prague
institution IES FSV UK
country CZ
mrcbC64 1 Department of Econometrics UTIA-B 50200 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
confidential S
mrcbC86 1* Article Management|Operations Research Management Science
mrcbT16-e OPERATIONSRESEARCHMANAGEMENTSCIENCE
mrcbT16-j 1.095
mrcbT16-s 2.489
mrcbT16-4 Q1
mrcbT16-B 82.913
mrcbT16-D Q1
mrcbT16-E Q1
arlyear 2016
mrcbTft \nSoubory v repozitáři: barunik-0456184.pdf
mrcbU14 84955063029 SCOPUS
mrcbU34 000369473300030 WOS
mrcbU63 cav_un_epca*0252893 European Journal of Operational Research 0377-2217 1872-6860 Roč. 251 č. 1 2016 329 340 Elsevier