Predicting Stock Splits Using Ensemble Machine Learning and SMOTE Oversampling
Year of publication: |
[2022]
|
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Authors: | Liu, Mark H. ; Sheather, Simon J. |
Publisher: |
[S.l.] : SSRN |
Subject: | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Aktiensplit | Stock split | Prognose | Forecast |
Extent: | 1 Online-Ressource (65 p) |
---|---|
Type of publication: | Book / Working Paper |
Language: | English |
Notes: | Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments February 26, 2022 erstellt |
Other identifiers: | 10.2139/ssrn.4033250 [DOI] |
Classification: | G11 - Portfolio Choice ; G14 - Information and Market Efficiency; Event Studies ; G17 - Financial Forecasting |
Source: | ECONIS - Online Catalogue of the ZBW |
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