Forecasting returns volatility of cryptocurrency by applying various deep learning algorithms
Year of publication: |
2023
|
---|---|
Authors: | Khan, Farman Ullah ; Khan, Faridoon ; Shaikh, Parvez Ahmed |
Published in: |
Future Business Journal. - New York, NY : Springer Nature, ISSN 2314-7210, ZDB-ID 2837528-2. - Vol. 9.2023, Art.-No. 25, p. 1-11
|
Subject: | Cryptocurrency | Cubic smoothing spline | Machine learning | Nonlinear models | Forecasting | Virtuelle Währung | Virtual currency | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Volatilität | Volatility | Algorithmus | Algorithm | Nichtlineare Regression | Nonlinear regression | Finanzmarkt | Financial market | Lernprozess | Learning process | Kapitaleinkommen | Capital income | Neuronale Netze | Neural networks | ARCH-Modell | ARCH model |
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