bibtype J - Journal Article
ARLID 0483752
utime 20240103215234.4
mtime 20180101235959.9
WOS 000414182000001
SCOPUS 85045838256
DOI 10.1080/1331677X.2017.1383169
title (primary) (eng) The risk-return profile of Lithuanian private pension funds
specification
page_count 20 s.
media_type P
serial
ARLID cav_un_epca*0344343
ISSN 1331-677X
title Ekonomska Istrazivanja
volume_id 30
volume 1 (2017)
page_num 1611-1630
keyword Pension system reform
keyword private pension funds
keyword performance ratios
keyword risk– return measuring
keyword clustering
author (primary)
ARLID cav_un_auth*0356100
name1 Kabašinskas
name2 A.
country LT
author
ARLID cav_un_auth*0356101
name1 Šutienė
name2 K.
country LT
author
ARLID cav_un_auth*0254103
full_dept (cz) Ekonometrie
full_dept Department of Econometrics
department (cz) E
department E
full_dept Department of Econometrics
share 25
name1 Kopa
name2 Miloš
institution UTIA-B
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0356102
name1 Valakevičius
name2 E.
country LT
source
url http://library.utia.cas.cz/separaty/2017/E/kopa-0483752.pdf
cas_special
project
ARLID cav_un_auth*0292622
project_id GA13-25911S
agency GA ČR
abstract (eng) The introduction of a private pension funds in conjunction with the public social security system is the essence of pension system reform that was implemented in Lithuania. The performance of private funds is mainly presented by fund’s net asset value and few classical risk estimates. Such evaluation shows the management company’s ability to profitably invest funds, but does not give the evidential risk-return evaluation. This paper refers to the overall statistical analysis of 26 private pension funds over a certain time period. The objective of the research is to determine the risk-return profile of pension funds and to answer the question whether the categories specified\nbased on investment strategy in equities reflect fund’s empirical behaviour. Research methodology includes the statistical analysis, risk measuring, performance ratio estimation, and K-means clustering. The conclusions obtained by the research allow determining whether the distinct pension funds have beaten a low risk reference and are adequately assigned to a certain risk category.
RIV AH
FORD0 50000
FORD1 50200
FORD2 50206
reportyear 2018
num_of_auth 4
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0279517
confidential S
mrcbC86 2 Article Economics
mrcbC86 2 Article Economics
mrcbC86 2 Article Economics
mrcbT16-e ECONOMICS
mrcbT16-j 0.097
mrcbT16-s 0.404
mrcbT16-B 5.422
mrcbT16-D Q4
mrcbT16-E Q3
arlyear 2017
mrcbU14 85045838256 SCOPUS
mrcbU24 PUBMED
mrcbU34 000414182000001 WOS
mrcbU63 cav_un_epca*0344343 Ekonomska Istrazivanja 1331-677X 1848-9664 Roč. 30 č. 1 2017 1611 1630