Forecasting mid-price movement of bitcoin futures using machine learning
Erdinc Akyildirim, Oguzhan Cepni, Shaen Corbet, Gazi Salah Uddin
| Year of publication: |
2020
|
|---|---|
| Authors: | Akyildirim, Erdinc ; Cepni, Oguzhan ; Corbet, Shaen ; Uddin, Mohammed Gazi Salah |
| Publisher: |
Frederiksberg : Department of Economics, Copenhagen Business School |
| Subject: | Cryptocurrency | Bitcoin Futures | Machine Learning | Covid-19 | k-Nearest Neighbors | Logistic Regression | Naive Bayes | Random Forest | Support Vector Machine | Extreme Gradient Boosting | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Virtuelle Währung | Virtual currency | Mustererkennung | Pattern recognition | Coronavirus |
freely available
| Extent: | 1 Online-Ressource (circa 29 Seiten) Illustrationen |
|---|---|
| Series: | Working paper / Department of Economics, Copenhagen Business School. - Frederiksberg : [Verlag nicht ermittelbar], ISSN 0906-5830, ZDB-ID 2822611-2. - Vol. 2020, 20 |
| Type of publication: | Book / Working Paper |
| Type of publication (narrower categories): | Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper |
| Language: | English |
| Other identifiers: | hdl:10398/1f7d2c7c-110a-4972-a4c4-47da5119ebd8 [Handle] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013041345