bibtype J - Journal Article
ARLID 0342493
utime 20240103193441.2
mtime 20100513235959.9
title (primary) (eng) Monte Carlo-Based Tail Exponent Estimator
specification
page_count 26 s.
serial
title IES Working Paper
volume_id 2010
volume 6 (2010)
page_num 1-26
keyword Hill estimator
keyword α-stable distributions
keyword tail exponent estimation
author (primary)
ARLID cav_un_auth*0242028
name1 Baruník
name2 Jozef
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*0101217
name1 Vácha
name2 Lukáš
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/2010/E/barunik-0342493.pdf
cas_special
project
project_id GA402/09/0965
agency GA ČR
ARLID cav_un_auth*0253176
project
project_id GD402/09/H045
agency GA ČR
ARLID cav_un_auth*0253998
project
project_id GP402/08/P207
agency GA ČR
ARLID cav_un_auth*0241655
research CEZ:AV0Z10750506
abstract (eng) In this paper we study the finite sample behavior of the Hill estimator under α- stable distributions. Using large Monte Carlo simulations we show that the Hill estimator overestimates the true tail exponent and can hardly be used on samples with small length. Utilizing our results, we introduce a Monte Carlo-based method of estimation for the tail exponent. Our method is not sensitive to the choice of k and works well also on small samples. The new estimator gives unbiased results with symmetrical con_dence intervals. Finally, we demonstrate the power of our estimator on the main world stock market indices. On the two separate periods of 2002-2005 and 2006-2009 we estimate the tail exponent.
reportyear 2011
RIV AH
permalink http://hdl.handle.net/11104/0185214
arlyear 2010
mrcbU63 IES Working Paper Roč. 2010 č. 6 2010 1 26