bibtype J - Journal Article
ARLID 0497836
utime 20240103221058.2
mtime 20181210235959.9
SCOPUS 85045622136
WOS 000447768700002
DOI 10.1007/s10258-018-0145-5
title (primary) (eng) Capital asset pricing model in Portugal: Evidence from fractal regressions
specification
page_count 11 s.
media_type P
serial
ARLID cav_un_epca*0311755
ISSN 1617-982X
title Portuguese Economic Journal
volume_id 17
volume 3 (2018)
page_num 173-183
keyword Capital asset pricing model
keyword Detrended cross-correlation analysis
keyword Detrending moving-average cross-correlation analysis
keyword Fractal regressions
keyword Portugal
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 řé
name1 Krištoufek
name2 Ladislav
institution UTIA-B
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0351446
name1 Ferreira
name2 P.
country PT
source
url http://library.utia.cas.cz/separaty/2018/E/kristoufek-0497836.pdf
cas_special
project
project_id GJ17-12386Y
agency GA ČR
country CZ
ARLID cav_un_auth*0351447
abstract (eng) We examine risk profiles of the Portuguese stock market index component stocks using a novel approach to the classical capital asset pricing model (CAPM). Specifically, we estimate the CAPM via fractal regressions that allow studying the marginal effects at selected scales. In this way, we can reveal whether the risk is perceived differently by market participants with different investment horizons. Apart from the analysis itself, we provide new statistical insights into the issue of separating and comparing the scale-specific effects with statistical validity. We find several stocks deviating from an expected risk perception homogeneity across investment horizons. This is true for both analysed periods, i.e. before and after the global financial crisis. There are also several stocks that changed their relationship to the market portfolio in between, which has strong implications for possible portfolio construction. The pro- posed methodology is not limited to financial topics but can be used in any discipline where the scale-specific marginal effects might be of interest.
result_subspec WOS
RIV AH
FORD0 50000
FORD1 50200
FORD2 50202
reportyear 2019
num_of_auth 2
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0290650
confidential S
mrcbC86 2 Article Economics
mrcbT16-e ECONOMICS
mrcbT16-j 0.108
mrcbT16-s 0.147
mrcbT16-B 5.236
mrcbT16-D Q4
mrcbT16-E Q4
arlyear 2018
mrcbU14 85045622136 SCOPUS
mrcbU24 PUBMED
mrcbU34 000447768700002 WOS
mrcbU63 cav_un_epca*0311755 Portuguese Economic Journal 1617-982X 1617-9838 Roč. 17 č. 3 2018 173 183