I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Quantifying Drivers of Forecasted Returns Using Approximate..:
Monica Defend
;
Aleksey Min
;
Lorenzo Portelli
...
https://www.mdpi.com/2571-9394/3/1/5. , 2021
Link:
https://doi.org/10.3390/forecast3010005
RT Journal T1
Quantifying Drivers of Forecasted Returns Using Approximate Dynamic Factor Models for Mixed-Frequency Panel Data
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:0e3539c8864a42d4a0fc40044f6e0e27&Exemplar=1&LAN=DE A1 Monica Defend A1 Aleksey Min A1 Lorenzo Portelli A1 Franz Ramsauer A1 Francesco Sandrini A1 Rudi Zagst PB MDPI AG YR 2021 K1 approximate dynamic factor model K1 expectation-maximization algorithm K1 forecasting K1 incomplete data K1 mixed-frequency information K1 prediction interval K1 Science (General) K1 Q1-390 K1 Mathematics K1 QA1-939 JF https://www.mdpi.com/2571-9394/3/1/5 LK http://dx.doi.org/https://doi.org/10.3390/forecast3010005 DO https://doi.org/10.3390/forecast3010005 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)