- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1436-6304
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Machine learning techniques for cross-sectional equity returns’ prediction ; day:28 ; month:9 ; year:2022 ; pages:1-35
OR spectrum ; (28.9.2022), 1-35
- Klassifikation
-
Wirtschaft
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s00291-022-00693-w
- URN
-
urn:nbn:de:101:1-2022121621042415218763
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:22 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Fieberg, Christian
- Metko, Daniel
- Poddig, Thorsten
- Loy, Thomas
- SpringerLink (Online service)
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