bibtype J - Journal Article
ARLID 0423826
utime 20240103203743.0
mtime 20140117235959.9
title (primary) (eng) Risk Measures in Optimization Problems via Empirical Estimates
specification
page_count 16 s.
media_type P
serial
ARLID cav_un_epca*0297184
ISSN 0323-066X
title Acta Universitatis Carolinae. Oeconomica
volume_id 7
volume 3 (2013)
page_num 162-177
keyword static stochastic optimization problems
keyword risk measures
keyword empirical distribution function
author (primary)
ARLID cav_un_auth*0101122
name1 Kaňková
name2 Vlasta
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/2013/E/kankova-0423826.pdf
cas_special
project
project_id GAP402/10/0956
agency GA ČR
ARLID cav_un_auth*0263482
project
project_id GAP402/11/0150
agency GA ČR
ARLID cav_un_auth*0273629
project
project_id GAP402/10/1610
agency GA ČR
ARLID cav_un_auth*0263483
abstract (eng) Economic and financial activities are often influenced simultaneously by a decision parameter and a random factor. Since mostly it is necessary to determine the decision parameter without knowledge of the realization of the random element, deterministic optimization problems depending on a probability measure often correspond to such situations. In applications the problem has to be very often solved on the data basis. It means that usually the “underlying” probability measure is replaced by empirical one. Great effort has been made to investigate properties of the corresponding (empirical) estimates; mostly under assumptions of “thin” tails and a linear dependence on the probability measure. The aim of this paper is to focus on the cases when these assumptions are not fulfilled. This happens usually just in economic and financial applications (see, e.g., Mandelbort 2003; Pflug and Römisch 2007; Rachev and Römisch 2002; Shiryaev 1999).
reportyear 2014
RIV AH
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0229886
arlyear 2013
mrcbU63 cav_un_epca*0297184 Acta Universitatis Carolinae. Oeconomica 0323-066X Roč. 7 č. 3 2013 162 177