bibtype J - Journal Article
ARLID 0502907
utime 20240903170642.2
mtime 20190314235959.9
SCOPUS 85064204073
WOS 000457070200010
DOI 10.14736/kyb-2018-6-1231
title (primary) (eng) Stochastic optimization problems with second order stochastic dominance constraints via Wasserstein metric
specification
page_count 16 s.
media_type P
serial
ARLID cav_un_epca*0297163
ISSN 0023-5954
title Kybernetika
volume_id 54
volume 6 (2018)
page_num 1231-1246
publisher
name Ústav teorie informace a automatizace AV ČR, v. v. i.
keyword Stochastic programming problems
keyword Second order stochastic dominance constraints
keyword Wasserstein metric
keyword Stability
keyword Relaxation
keyword Scenario generation
keyword Empirical estimates
keyword Light-and heavy tailed distributions
keyword Crossing
author (primary)
ARLID cav_un_auth*0101122
full_dept Department of Econometrics
share 75
name1 Kaňková
name2 Vlasta
institution UTIA-B
full_dept (cz) Ekonometrie
full_dept (eng) Department of Econometrics
department (cz) E
department (eng) E
garant K
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0271480
name1 Omelchenko
name2 Vadym
institution UTIA-B
full_dept (cz) Ekonometrie
full_dept Department of Econometrics
department (cz) E
department E
full_dept Department of Econometrics
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2019/E/kankova-0502907.pdf
cas_special
project
ARLID cav_un_auth*0363963
project_id GA18-02739S
agency GA ČR
abstract (eng) Optimization problems with stochastic dominance constraints are helpful to many real-life applications. We can recall e.g. problems of portfolio selection or problems connected with energy production. The above mentioned constraints are very suitable because they guarantee a solution fulfilling partial order between utility functions in a given subsystem U of the utility functions. Especially, considering U = U_1 (where U_ is a system of a non decreasing concave nonnegative utility functions) we obtain second order stochastic dominance constraints. Unfortunately it is also known that these problems are rather complicated as from the theoretical and the numerical point of view. Moreover, these problems go to semi-infinite optimization problems for which Slater's condition is not necessary fulfilled. Consequently it is suitable to modify the constraints. A question arises how to do it. The aim of the paper is to suggest one of the possibilities how to modify the original problem with an „estimation“ of a gap between the original and modified problem. To this end the stability results obtained on the base of the Wasserstein metric corresponding to L_1 norm are employed. Moreover, we mention a scenario generation and an investigation of empirical estimates. At the end attention will be paid to heavy tailed distributions.
action
ARLID cav_un_auth*0373587
name 19th Joint Czech -German-Slovak Conference on Mathematical Methods in Economy and Industry (MMEI)
dates 20180604
mrcbC20-s 20180606
place Jindřichův Hradec
country CZ
result_subspec WOS
RIV BB
FORD0 10000
FORD1 10100
FORD2 10103
reportyear 2019
num_of_auth 2
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0295272
confidential S
mrcbC86 3+4 Article|Proceedings Paper Computer Science Cybernetics
mrcbT16-e COMPUTERSCIENCECYBERNETICS
mrcbT16-j 0.174
mrcbT16-s 0.268
mrcbT16-B 15.991
mrcbT16-D Q4
mrcbT16-E Q3
arlyear 2018
mrcbU14 85064204073 SCOPUS
mrcbU24 PUBMED
mrcbU34 000457070200010 WOS
mrcbU63 cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 54 č. 6 2018 1231 1246 Ústav teorie informace a automatizace AV ČR, v. v. i.