bibtype J - Journal Article
ARLID 0497835
utime 20240103221058.1
mtime 20181210235959.9
SCOPUS 85043999485
WOS 000432778300009
DOI 10.1016/j.chaos.2018.02.028
title (primary) (eng) Fractality in market risk structure: Dow Jones Industrial components case
specification
page_count 7 s.
media_type P
serial
ARLID cav_un_epca*0252408
ISSN 0960-0779
title Chaos Solitons & Fractals
volume_id 110
volume 1 (2018)
page_num 69-75
publisher
name Elsevier
keyword Capital asset pricing model
keyword Scaling
keyword Detrended cross-correlation analysis
keyword Detrending moving-average cross-correlation analysis
author (primary)
ARLID cav_un_auth*0256902
full_dept (cz) Ekonometrie
full_dept (eng) Department of Econometrics
department (cz) E
department (eng) E
full_dept Department of Econometrics
share 100
name1 Krištoufek
name2 Ladislav
institution UTIA-B
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2018/E/kristoufek-0497835.pdf
cas_special
project
project_id GJ17-12386Y
agency GA ČR
country CZ
ARLID cav_un_auth*0351447
abstract (eng) We examine the Dow Jones Industrial Average index components with respect to the capital asset pricing model (CAPM), specifically its scaling properties in the sense of different investment horizons. To do so, we use the novel methods of fractal regressions based on the detrended cross-correlation analysis and the detrending moving-average cross-correlation analysis. We report three standard groups of stocks - aggressive, defensive and market-following - which are rather uniformly represented. For most of the stocks, the $\beta$ parameter of the CAPM does not vary significantly across scales. There are two groups of exceptions. One of aggressive stocks which are even more aggressive for short investment horizons. These do not provide portfolio diversification benefits but allow for high profits above the market returns and even more so for the short investment horizons. And the other group of more defensive stocks which become very defensive in the long term. These stocks do not deliver short term profits but can serve as strong risk diversifiers. Apart from these direct results, our analysis opens several interesting questions and future research directions, both technical and experimental, which we discuss in more detail.
result_subspec WOS
RIV AH
FORD0 50000
FORD1 50200
FORD2 50202
reportyear 2019
num_of_auth 1
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0290651
confidential S
mrcbC86 1 Article Mathematics Interdisciplinary Applications|Physics Multidisciplinary|Physics Mathematical
mrcbT16-e MATHEMATICSINTERDISCIPLINARYAPPLICATIONS|PHYSICSMATHEMATICAL|PHYSICSMULTIDISCIPLINARY
mrcbT16-j 0.559
mrcbT16-s 0.818
mrcbT16-B 49.92
mrcbT16-D Q3
mrcbT16-E Q2
arlyear 2018
mrcbU14 85043999485 SCOPUS
mrcbU24 PUBMED
mrcbU34 000432778300009 WOS
mrcbU63 cav_un_epca*0252408 Chaos Solitons & Fractals 0960-0779 1873-2887 Roč. 110 č. 1 2018 69 75 Elsevier