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Ιδρυματικό Αποθετήριο [SANDBOX]
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| URI | http://purl.tuc.gr/dl/dias/033BA519-0523-4807-9777-32D0750F83AE | - |
| Αναγνωριστικό | https://doi.org/10.1016/j.ejor.2019.01.040 | - |
| Αναγνωριστικό | https://www.sciencedirect.com/science/article/pii/S037722171930075X | - |
| Γλώσσα | en | - |
| Μέγεθος | 11 pages | en |
| Τίτλος | Bitcoin price forecasting with neuro-fuzzy techniques | en |
| Δημιουργός | Atsalakis Georgios | en |
| Δημιουργός | Ατσαλακης Γεωργιος | el |
| Δημιουργός | Atsalaki Ioanna | en |
| Δημιουργός | Ατσαλακη Ιωαννα | el |
| Δημιουργός | Pasiouras Fotios | en |
| Δημιουργός | Πασιουρας Φωτιος | el |
| Δημιουργός | Zopounidis Konstantinos | en |
| Δημιουργός | Ζοπουνιδης Κωνσταντινος | el |
| Εκδότης | Elsevier | en |
| Περίληψη | Cryptocurrencies, with Bitcoin being the most notable example, have attracted considerable attention in recent years, and they have experienced large fluctuations in their price. While a few studies employ conventional statistical and econometric approaches to reveal the driving factors of Bitcoin's prices, research on the development of forecasting models to be used as decision support tools in investment strategies is scarce. This study proposes a computational intelligence technique that uses a hybrid Neuro-Fuzzy controller, namely PATSOS, to forecast the direction in the change of the daily price of Bitcoin. The proposed methodology outperforms two other computational intelligence models, the first being developed with a simpler neuro-fuzzy approach, and the second being developed with artificial neural networks. Furthermore, the investment returns achieved by a trading simulation, based on the signals of the proposed model, are 71.21% higher than the ones achieved through a naive buy-and-hold strategy. The performance of the PATSOS system is robust to the use of other cryptocurrencies. | en |
| Τύπος | Peer-Reviewed Journal Publication | en |
| Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2020-05-28 | - |
| Ημερομηνία Δημοσίευσης | 2019 | - |
| Θεματική Κατηγορία | Artificial intelligence | en |
| Θεματική Κατηγορία | Bitcoin price forecasting | en |
| Θεματική Κατηγορία | Fuzzy sets | en |
| Θεματική Κατηγορία | Neuro-fuzzy forecasting | en |
| Βιβλιογραφική Αναφορά | G.S. Atsalakis, I.G. Atsalaki, F. Pasiouras and C. Zopounidis, "Bitcoin price forecasting with neuro-fuzzy techniques," Eur. J. Oper. Res., vol. 276, no. 2, pp. 770-780, Jul. 2019. doi: 10.1016/j.ejor.2019.01.040 | en |
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