bibtype J - Journal Article
ARLID 0393321
utime 20240103202652.0
mtime 20130909235959.9
WOS 000329081300022
DOI 10.1016/j.eneco.2013.06.015
title (primary) (eng) Time-Frequency Dynamics of Biofuel-Fuel-Food System
specification
page_count 16 s.
media_type P
serial
ARLID cav_un_epca*0250426
ISSN 0140-9883
title Energy Economics
volume_id 40
volume 1 (2013)
page_num 233-241
publisher
name Elsevier
keyword biofuels
keyword correlations
keyword wavelet coherence
author (primary)
ARLID cav_un_auth*0101217
name1 Vácha
name2 Lukáš
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*0014874
name1 Janda
name2 K.
country CZ
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
garant G
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0292025
name1 Zilberman
name2 D.
country CZ
source
url http://library.utia.cas.cz/separaty/2013/E/vacha-time-frequency dynamics of biofuels-fuels-food system.pdf
cas_special
project
project_id GBP402/12/G097
agency GA ČR
country CZ
ARLID cav_un_auth*0281000
project
project_id GAP402/11/0948
agency GA ČR
country CZ
ARLID cav_un_auth*0284442
abstract (eng) For the first time, we apply the wavelet coherence methodology on biofuels (ethanol and biodiesel) and a wide range of related commodities (gasoline, diesel, crude oil, corn, wheat, soybeans, sugarcane and rapeseed oil). This way, we are able to investigate dynamics of correlations in time and across scales (frequencies) with a model-free approach. We show that correlations indeed vary in time and across frequencies. We find two highly correlated pairs which are strongly connected at low frequencies – ethanol with corn and biodiesel with German diesel – during almost the whole analyzed period (2003-2011). Structure of correlations remarkably changes during the food crisis – higher frequencies become important for both mentioned pairs. This implies that during stable periods, ethanol is correlated with corn and biodiesel is correlated with German diesel mainly at low frequencies so that they follow a common long-term trend. However, in the crisis periods, ethanol (biodiesel) is led by corn (German diesel) even at high frequencies (low scales), which implies that the biofuels prices react more rapidly to the changes in their producing factors.
reportyear 2014
RIV AH
num_of_auth 4
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0222067
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mrcbU63 cav_un_epca*0250426 Energy Economics 0140-9883 1873-6181 Roč. 40 č. 1 2013 233 241 Elsevier