Machine Learning and Expected Returns
Year of publication: |
2023
|
---|---|
Authors: | Crego, Julio A. ; Soerlie Kvaerner, Jens ; Stam, Marc |
Publisher: |
[S.l.] : SSRN |
Subject: | Künstliche Intelligenz | Artificial intelligence | Kapitaleinkommen | Capital income | Prognoseverfahren | Forecasting model | Lernprozess | Learning process | Börsenkurs | Share price | Lernen | Learning |
Extent: | 1 Online-Ressource (59 p) |
---|---|
Type of publication: | Book / Working Paper |
Language: | English |
Notes: | Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments February 2, 2023 erstellt |
Other identifiers: | 10.2139/ssrn.4345646 [DOI] |
Classification: | G12 - Asset Pricing ; G11 - Portfolio Choice |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Byun, Suk Joon, (2022)
-
Multi-horizon equity returns predictability via machine learning
Nechvatalova, Lenka, (2021)
-
Learning from the past : the role of personal experiences in artificial stock markets
Lenhard, Gregor, (2024)
- More ...
-
The Economic Value of Eliminating Diseases
Crego, Julio A., (2022)
-
Partial Homeownership : A Quantitative Analysis
Brandsaas, Eirik E., (2023)
-
Leverage Regulation and Housing Inequality
Soerlie Kvaerner, Jens, (2023)
- More ...