bibtype J - Journal Article
ARLID 0333552
utime 20240111140730.3
mtime 20100108235959.9
title (primary) (eng) Classical and modified rescaled range analysis: Sampling properties under heavy tails
specification
page_count 17 s.
media_type www
serial
title IES Wokring Papers
volume_id 2009
volume 29 (2009)
page_num 1-17
title (cze) Klasická a modifikovaná analýza přeškálovaných rozsahů: Chovaní pod težkymi chvosty
keyword rescaled range
keyword modified rescaled range
keyword Hurst exponent
keyword long-range dependence
keyword confidence intervals
author (primary)
ARLID cav_un_auth*0256902
name1 Krištoufek
name2 Ladislav
institution UTIA-B
full_dept Department of Econometrics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_type pdf
url http://library.utia.cas.cz/separaty/2010/E/kristoufek-classical and modified rescaled range analysis sampling properties under heavy tails.pdf
cas_special
project
project_id GD402/09/H045
agency GA ČR
ARLID cav_un_auth*0253998
research CEZ:AV0Z10750506
abstract (eng) Mostly used estimators of Hurst exponent for detection of long-range dependence are biased by presence of short-range dependence in the underlying time series. We present confidence intervals estimates for rescaled range and modified rescaled range. We show that the difference in expected values and confidence intervals enables us to use both methods together to clearly distinguish between the two types of processes. Moreover, both methods are robust against the presence of heavy tails in the underlying process.
reportyear 2010
RIV AH
permalink http://hdl.handle.net/11104/0178502
arlyear 2009
mrcbU56 pdf
mrcbU63 IES Wokring Papers Roč. 2009 č. 29 2009 1 17