Correction to: Prediction accuracy improvement for Bitcoin market prices based on symmetric volatility information using
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CORRECTION
Correction to: Prediction accuracy improvement for Bitcoin market prices based on symmetric volatility information using artificial neural network approach Anwar Hasan Abdullah Othman1 · Salina Kassim1 · Romzie Bin Rosman1 · Nur Harena Binti Redzuan1
© Springer Nature Limited 2020
Correction to: Journal of Revenue and Pricing Management https://doi.org/10.1057/s41272-020-00229-3
The original version of this article unfortunately contained a mistake. Prediction accuracy percentage in Fig. 7, which
represent the key findings of this study which is (92.147%) does not appear in Fig. 7. The corrected Fig. 7 with caption is given below.
Fig. 7 Distributions of prediction trend accuracy for Bitcoin Price Index
The original article can be found online at https://doi.org/10.1057/ s41272-020-00229-3.
Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
* Anwar Hasan Abdullah Othman [email protected] Salina Kassim [email protected] Romzie Bin Rosman [email protected] Nur Harena Binti Redzuan [email protected] 1
IIUM Institute of Islamic Banking and Finance (IIiBF), International Islamic University Malaysia, P.O. Box 10, 50728 Kuala Lumpur, Malaysia Vol.:(0123456789)
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