Forecasting cryptocurrency markets using recurrence and time-frequency analysis-based machine learning algorithms
Dong Ha Kim, Frederique J. Vanheusden, Amee Kim
| Year of publication: |
2025
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|---|---|
| Authors: | Kim, Dong Ha ; Vanheusden, Frederique J. ; Kim, Amee |
| Published in: |
Finance research letters. - New York : Elsevier Science, ISSN 1544-6123, ZDB-ID 2145766-9. - Vol. 85.2025, 5, Art.-No. 108268, p. 1-7
|
| Subject: | Cryptocurrency | Forecasting | Machine learning | Market returns | Recurrence analysis | Spectral analysis | Künstliche Intelligenz | Artificial intelligence | Virtuelle Währung | Virtual currency | Prognoseverfahren | Forecasting model | Algorithmus | Algorithm |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.frl.2025.108268 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015591122