Forecasting of Bitcoin Daily Returns with EEMD-ELMAN based Model

Author:

Khaldi Rohaifa1,El Afia Abdellatif1,Chiheb Raddouane1,Faizi Rdouan1

Affiliation:

1. ENSIAS, Mohammed V University, Rabat, Morocco

Publisher

ACM Press

Reference29 articles.

1. Katsiampa P. 2017. Volatility estimation for Bitcoin: A comparison of GARCH models. Economics Letters. http://dx.doi.org/10.1016/j.econlet.2017.06.023

2. Natalia V. B. and Ernest W. T. 2016. Improving management of windrow composting systems by modeling runoff water quality dynamics using recurrent neural network. Ecological Modelling 339 (68--76). https://doi.org/10.1016/j.ecolmodel.2016.08.011

3. A. João, T. Shravan, M. Andreas, and S. Vikko. 2015. Bitcoin prediction using ANN. IN4015: Neural Networks, Group 7.

4. Dyhrberg A. H. 2016. Hedging capabilities of Bitcoin. Is it the virtual gold? Fin. Res. Lett. 16, 139--144. https://doi.org.lcproxy.shu.ac.uk/10.1016/j.frl.2015.10.025.

5. Dyhrberg A. H. 2016. Bitcoin, gold and the dollar - A GARCH volatility analysis. Fin. Res. Lett. 16, 85--92. https://doi-org.lcproxy.shu.ac.uk/10.1016/j.frl.2015.10.008.

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