bibtype |
J -
Journal Article
|
ARLID |
0561032 |
utime |
20240402213509.1 |
mtime |
20220913235959.9 |
SCOPUS |
85178358598 |
WOS |
000809393500001 |
DOI |
10.1093/jjfinec/nbac017 |
title
(primary) (eng) |
Quantile Spectral Beta: A Tale of Tail Risks, Investment Horizons, and Asset Prices |
specification |
page_count |
57 s. |
media_type |
P |
|
serial |
ARLID |
cav_un_epca*0344593 |
ISSN |
1479-8409 |
title
|
Journal of Financial Econometrics |
volume_id |
21 |
volume |
5 (2023) |
page_num |
1590-1646 |
publisher |
name |
Oxford University Press |
|
|
keyword |
cross-sectional return variation |
keyword |
downside risk |
keyword |
frequency |
keyword |
investment horizons |
keyword |
spectral risk |
keyword |
tail risk |
author
(primary) |
ARLID |
cav_un_auth*0242028 |
name1 |
Baruník |
name2 |
Jozef |
institution |
UTIA-B |
full_dept (cz) |
Ekonometrie |
full_dept (eng) |
Department of Econometrics |
department (cz) |
E |
department (eng) |
E |
full_dept |
Department of Econometrics |
country |
CZ |
share |
50 |
garant |
K |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0436158 |
name1 |
Nevrla |
name2 |
Matěj |
institution |
UTIA-B |
full_dept (cz) |
Ekonometrie |
full_dept |
Department of Econometrics |
department (cz) |
E |
department |
E |
country |
CZ |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
source |
|
source |
|
cas_special |
project |
project_id |
GX19-28231X |
agency |
GA ČR |
country |
CZ |
ARLID |
cav_un_auth*0385135 |
|
abstract
(eng) |
This article investigates how two important sources of risk-market tail risk (TR) and extreme market volatility risk-are priced into the cross-section of asset returns across various investment horizons. To identify such risks, we propose a quantile spectral (QS) beta representation of risk based on the decomposition of covariance between indicator functions that capture fluctuations over various frequencies. We study the asymptotic behavior of the proposed estimators of such risk. Empirically, we find that TR is a short-term phenomenon, whereas ex- treme volatility risk is priced by investors in the long term when pricing a cross- section of individual stocks. In addition, we study popular industry, size and value, profit, investment, or book-to-market portfolios, as well as portfolios constructed from various asset classes, portfolios sorted on cash flow duration, and other strategies. These results reveal that tail-dependent and horizon-specific risks are priced heterogeneously across datasets and are important sources of risk for investors. |
result_subspec |
WOS |
RIV |
AH |
FORD0 |
50000 |
FORD1 |
50200 |
FORD2 |
50206 |
reportyear |
2024 |
num_of_auth |
2 |
inst_support |
RVO:67985556 |
permalink |
https://hdl.handle.net/11104/0347210 |
cooperation |
ARLID |
cav_un_auth*0308308 |
name |
Institute of Economic Studies, Faculty of Social Sciences, Charles University in Prague |
institution |
IES FSV UK |
country |
CZ |
|
confidential |
S |
mrcbC91 |
C |
mrcbT16-e |
BUSINESSFINANCE|ECONOMICS |
mrcbT16-j |
1.9 |
mrcbT16-D |
Q1 |
arlyear |
2023 |
mrcbU02 |
J |
mrcbU14 |
85178358598 SCOPUS |
mrcbU24 |
PUBMED |
mrcbU34 |
000809393500001 WOS |
mrcbU63 |
cav_un_epca*0344593 Journal of Financial Econometrics 21 5 2023 1590 1646 1479-8409 1479-8417 Oxford University Press |
|