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 |
|
|
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 |
|
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 |
mrcbT16-e |
ECONOMICS |
mrcbT16-f |
3.521 |
mrcbT16-g |
0.398 |
mrcbT16-h |
5.III |
mrcbT16-i |
0.01789 |
mrcbT16-j |
1.229 |
mrcbT16-k |
5220 |
mrcbT16-l |
259 |
mrcbT16-s |
1.928 |
mrcbT16-4 |
Q1 |
mrcbT16-B |
76.368 |
mrcbT16-C |
91.742 |
mrcbT16-D |
Q1 |
mrcbT16-E |
Q1 |
arlyear |
2013 |
mrcbU34 |
000329081300022 WOS |
mrcbU63 |
cav_un_epca*0250426 Energy Economics 0140-9883 1873-6181 Roč. 40 č. 1 2013 233 241 Elsevier |
|