bibtype J - Journal Article
ARLID 0420811
utime 20240103203420.3
mtime 20131218235959.9
WOS 000333778400007
SCOPUS 84890847491
DOI 10.1016/j.eneco.2013.12.001
title (primary) (eng) Commodity futures and market efficiency
specification
page_count 7 s.
media_type P
serial
ARLID cav_un_epca*0250426
ISSN 0140-9883
title Energy Economics
volume_id 42
volume 1 (2014)
page_num 50-57
publisher
name Elsevier
keyword commodities
keyword efficiency
keyword entropy
keyword long-term memory
keyword fractal dimension
author (primary)
ARLID cav_un_auth*0256902
name1 Krištoufek
name2 Ladislav
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*0101230
name1 Vošvrda
name2 Miloslav
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/2013/E/kristoufek-0420811.pdf
cas_special
project
project_id GAP402/11/0948
agency GA ČR
country CZ
ARLID cav_un_auth*0284442
project
project_id GA402/09/0965
agency GA ČR
ARLID cav_un_auth*0253176
abstract (eng) We analyze the market efficiency of 25 commodity futures across various groups – metals, energies, softs, grains and other agricultural commodities. To do so, we utilize recently proposed Efficiency Index to find that the most efficient of all the analyzed commodities is heating oil, closely followed by WTI crude oil, cotton, wheat and coffee. On the other end of the ranking, we detect live cattle and feeder cattle. The efficiency is also found to be characteristic for specific groups of commodities – energy commodities being the most efficient and the other agricultural commodities (formed mainly of livestock) the least efficient groups. We also discuss contributions of the long-term memory, fractal dimension and approximate entropy to the total inefficiency. Last but not least, we come across the nonstandard relationship between the fractal dimension and Hurst exponent. For the analyzed dataset, the relationship between these two is positive meaning that local persistence (trending) is connected to global anti-persistence.
reportyear 2015
RIV AH
num_of_auth 2
mrcbC52 4 A 4a 20231122135945.1
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0227928
cooperation
ARLID cav_un_auth*0295067
institution UK
name Univerzita Karlova v Praze
country CZ
mrcbC63-f Praha 1
mrcbT16-e ECONOMICS
mrcbT16-j 1.146
mrcbT16-s 2.850
mrcbT16-4 Q1
mrcbT16-B 68.788
mrcbT16-C 92.342
mrcbT16-D Q2
mrcbT16-E Q1
arlyear 2014
mrcbTft \nSoubory v repozitáři: kristoufek-0420811.pdf
mrcbU14 84890847491 SCOPUS
mrcbU34 000333778400007 WOS
mrcbU63 cav_un_epca*0250426 Energy Economics 0140-9883 1873-6181 Roč. 42 č. 1 2014 50 57 Elsevier