Predicting stock splits using ensemble machine learning and SMOTE oversampling
Year of publication: |
2023
|
---|---|
Authors: | Li, Ang ; Liu, Mark H. ; Sheather, Simon J. |
Published in: |
Pacific-Basin finance journal. - Amsterdam [u.a.] : Elsevier, ISSN 0927-538X, ZDB-ID 1343420-2. - Vol. 78.2023, p. 1-24
|
Subject: | Ensemble machine learning | Gradient boosting machines | Hyperparameter tuning | Random forests | SHAP feature importance | SMOTE oversampling | Stock splits | Künstliche Intelligenz | Artificial intelligence | Aktiensplit | Stock split | Prognoseverfahren | Forecasting model |
-
Predicting Stock Splits Using Ensemble Machine Learning and SMOTE Oversampling
Liu, Mark H., (2022)
-
Suppawong Tuarob, (2021)
-
Antipov, Evgeny A., (2020)
- More ...
-
Can mergers and acquisitions internalize positive externalities in funding innovation?
Chemmanur, Thomas J., (2024)
-
Can Mergers and Acquisitions Internalize Positive Externalities in Funding Innovation?
Chemmanur, Thomas J., (2020)
-
Mutual fund preference for pure-play firms
Jordan, Bradford D., (2022)
- More ...