bibtype J - Journal Article
ARLID 0349301
utime 20240103194105.2
mtime 20101116235959.9
title (primary) (eng) Rescaled Range Analysis and Detrended Fluctuation Analysis: Finite Sample Properties and Confidence Intervals
specification
page_count 15 s.
serial
ARLID cav_un_epca*0082431
ISSN 1802-4696
title AUCO Czech Economic Review
part_title Acta Universitatis Carolinae - OECONOMICA
volume 3 (2010)
page_num 236-250
keyword rescaled range analysis
keyword detrended fluctuation analysis
keyword Hurst exponent
keyword long-range dependence
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.
source
url http://library.utia.cas.cz/separaty/2010/E/kristoufek-rescaled range analysis and detrended fluctuation analysis finite sample properties and confidence intervals.pdf
cas_special
project
project_id 118310
agency GA UK
country CZ
ARLID cav_un_auth*0274537
project
project_id GD402/09/H045
agency GA ČR
ARLID cav_un_auth*0253998
project
project_id GA402/09/0965
agency GA ČR
ARLID cav_un_auth*0253176
research CEZ:AV0Z10750506
abstract (eng) We focus on finite sample properties of two mostly used methods of Hurst exponent H estimation—rescaled range analysis (R/S) and detrended fluctuation analysis (DFA). Even though both methods have been widely applied on different types of financial assets, only seve- ral papers have dealt with the finite sample properties which are crucial as the properties differ significantly from the asymptotic ones. Recently, R/S analysis has been shown to overestimate H when compared to DFA. However, we show that even though the estimates of R/S are truly significantly higher than an asymptotic limit of 0.5, for random time series with lengths from 29 to 217, they remain very close to the estimates proposed by Anis & Lloyd and the estimated standard deviations are lower than the ones of DFA. On the other hand, DFA estimates are very close to 0.5. The results propose that R/S still remains useful and robust method even when compared to newer method of DFA which is usually preferred in recent literature.
reportyear 2011
RIV AH
num_of_auth 1
permalink http://hdl.handle.net/11104/0189575
arlyear 2010
mrcbU63 cav_un_epca*0082431 AUCO Czech Economic Review Acta Universitatis Carolinae - OECONOMICA 1802-4696 4/2010 č. 3 2010 236 250