Prediction accuracy improvement for Bitcoin market prices based on symmetric volatility information using artificial neural network approach
Anwar Hasan Abdullah Othman, Salina Kassim, Romzie Bin Rosman, Nur Harena Binti Redzuan
| Year of publication: |
2020
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|---|---|
| Authors: | Anwar Hasan Abdullah Othman ; Kassim, Salina ; Bin Rosman, Romzie ; Nur Harena Binti Redzuan |
| Published in: |
Journal of revenue and pricing management. - Basingstoke : Palgrave Macmillan, ISSN 1476-6930, ZDB-ID 2114191-5. - Vol. 19.2020, 5, p. 314-330
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| Subject: | Price predication | Bitcoin currency | Artificial neural network | Symmetric volatility information | Volatilität | Volatility | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Theorie | Theory | Virtuelle Währung | Virtual currency | Wechselkurs | Exchange rate | Börsenkurs | Share price |
| Description of contents: | Description [doi.org] |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Notes: | Corrigendum enthalten in: volume 19, issue 5, October 2020, Seite 331 |
| Other identifiers: | 10.1057/s41272-020-00229-3 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012297966