Correction to: Prediction accuracy improvement for Bitcoin market prices based on symmetric volatility information using artificial neural network approach

Anwar Hasan Abdullah Othman (anwarhasan@iium.edu.my), Salina Kassim (ksalina@iium.edu.my), Romzie Bin Rosman (romzie@iium.edu.my) and Nur Harena Binti Redzuan (nurharena@iium.edu.my)
Additional contact information
Anwar Hasan Abdullah Othman: IIUM Institute of Islamic Banking and Finance (IIiBF), International Islamic University Malaysia
Salina Kassim: IIUM Institute of Islamic Banking and Finance (IIiBF), International Islamic University Malaysia
Romzie Bin Rosman: IIUM Institute of Islamic Banking and Finance (IIiBF), International Islamic University Malaysia
Nur Harena Binti Redzuan: IIUM Institute of Islamic Banking and Finance (IIiBF), International Islamic University Malaysia

Journal of Revenue and Pricing Management, 2020, vol. 19, issue 5, No 5, 331 pages

Abstract: The original version of this article unfortunately contained a mistake. Prediction accuracy percentage in figure 7, which represent the key findings of this study which is (92.147%) does not appear in the figure 7.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1057/s41272-020-00240-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pal:jorapm:v:19:y:2020:i:5:d:10.1057_s41272-020-00240-8

Ordering information: This journal article can be ordered from
https://www.palgrave.com/gp/journal/41272

DOI: 10.1057/s41272-020-00240-8

Access Statistics for this article

Journal of Revenue and Pricing Management is currently edited by Ian Yeoman

More articles in Journal of Revenue and Pricing Management from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla (sonal.shukla@springer.com) and Springer Nature Abstracting and Indexing (indexing@springernature.com).