An adaptive and enhanced framework for daily stock market prediction using feature selection and ensemble learning algorithms
Mahmut Sami Sivri and Alp Ustundag
| Year of publication: |
2024
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|---|---|
| Authors: | Sivri, Mahmut Sami ; Ustundag, Alp |
| Published in: |
Journal of business analytics. - London : Taylor & Francis Group, ISSN 2573-2358, ZDB-ID 2907637-7. - Vol. 7.2024, 1, p. 42-62
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| Subject: | emerging markets | ensemble learning | feature selection | forecasting | machine learning | Stock market prediction | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Aktienmarkt | Stock market | Algorithmus | Algorithm | Schwellenländer | Emerging economies | Lernprozess | Learning process | Börsenkurs | Share price | Neuronale Netze | Neural networks |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/2573234X.2023.2263522 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014446579