Machine Learning Goes Global : Cross-Sectional Return Predictability in International Stock Markets
Year of publication: |
[2022]
|
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Authors: | Cakici, Nusret ; Fieberg, Christian ; Metko, Daniel ; Zaremba, Adam |
Publisher: |
[S.l.] : SSRN |
Subject: | Prognoseverfahren | Forecasting model | Welt | World | Kapitaleinkommen | Capital income | Aktienmarkt | Stock market | Künstliche Intelligenz | Artificial intelligence | Börsenkurs | Share price |
Extent: | 1 Online-Ressource (98 p) |
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Type of publication: | Book / Working Paper |
Language: | English |
Notes: | Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments June 20, 2022 erstellt |
Other identifiers: | 10.2139/ssrn.4141663 [DOI] |
Classification: | C52 - Model Evaluation and Testing ; G10 - General Financial Markets. General ; G12 - Asset Pricing ; G15 - International Financial Markets |
Source: | ECONIS - Online Catalogue of the ZBW |
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