bibtype C - Conference Paper (international conference)
ARLID 0347765
utime 20240103193922.1
mtime 20101102235959.9
title (primary) (eng) Comovement of Central European stock markets using wavelet coherence: Evidence from high-frequency data
specification
page_count 6 s.
serial
ARLID cav_un_epca*0346981
ISBN 978-80-7394-218-2
title 28th International Conference on Mathematical Methods in Economics 2010
part_num Part II
page_num 12-17
publisher
place České Budějovice
name University of South Bohemia in České Budějovice, Faculty of Economy
year 2010
editor
name1 Houda
name2 Michal
editor
name1 Friebelová
name2 Jana
keyword comovement
keyword contagion
keyword wavelet analysis
keyword wavelet coherence
author (primary)
ARLID cav_un_auth*0242028
name1 Baruník
name2 Jozef
full_dept (cz) Ekonometrie
full_dept (eng) Department of Econometrics
department (cz) E
department (eng) E
institution UTIA-B
full_dept Department of Econometrics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101217
name1 Vácha
name2 Lukáš
full_dept (cz) Ekonometrie
full_dept Department of Econometrics
department (cz) E
department E
institution UTIA-B
full_dept Department of Econometrics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0256902
name1 Krištoufek
name2 Ladislav
full_dept (cz) Ekonometrie
full_dept Department of Econometrics
department (cz) E
department E
institution UTIA-B
full_dept Department of Econometrics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2010/E/barunik-0347765.pdf
cas_special
project
project_id GA402/09/0965
agency GA ČR
ARLID cav_un_auth*0253176
project
project_id GD402/09/H045
agency GA ČR
ARLID cav_un_auth*0253998
project
project_id GP402/08/P207
agency GA ČR
ARLID cav_un_auth*0241655
research CEZ:AV0Z10750506
abstract (eng) In this paper, we contribute to the literature on international stock market comovement and contagion. The novelty of our approach lies in usage of wavelet tools to high-frequency financial market data, which allows us to understand the relationship between stock market returns in completely different way. Major part of economic time series analysis is done in time or frequency domain separately. Wavelet analysis can combine these two funda- mental approaches, so we can work in time-frequency domain. Using wavelet coherence, we have found very interesting dynamics of cross-correlations be- tween Central European and Western European stock markets. We analyze the high-frequency (5 minute) and low-frequency (daily) data of Czech (PX), Hungarian (BUX) and Polish (WIG) stock indices with a benchmark of German stock index (DAX) on the period of 2008-2009. Our findings provide possibility of a new approach to financial risk modeling.
action
ARLID cav_un_auth*0263925
name Mathematical Methods in Economics 2010
place České Budějovice
dates 08.09.2010-10.09.2010
country CZ
reportyear 2011
RIV AH
permalink http://hdl.handle.net/11104/0188468
arlyear 2010
mrcbU63 cav_un_epca*0346981 28th International Conference on Mathematical Methods in Economics 2010 Part II 978-80-7394-218-2 12 17 České Budějovice University of South Bohemia in České Budějovice, Faculty of Economy 2010
mrcbU67 Houda Michal 340
mrcbU67 Friebelová Jana 340