Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/33118Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | González Cortés, D | - |
| dc.contributor.author | Nandy, M | - |
| dc.contributor.author | Lodh, S | - |
| dc.contributor.author | Senyo, PK | - |
| dc.contributor.author | Wu, J | - |
| dc.contributor.author | Onieva, E | - |
| dc.date.accessioned | 2026-04-09T08:42:31Z | - |
| dc.date.available | 2026-04-09T08:42:31Z | - |
| dc.date.issued | 2026 | - |
| dc.identifier | ORCiD: Monomita Nandy https://orcid.org/0000-0001-8191-2412 | - |
| dc.identifier | ORCiD: Enrique Onieva https://orcid.org/0000-0001-9581-1823 | - |
| dc.identifier.citation | González Cortés, D. et al. (2026) 'Predicting Cryptocurrency Prices during Economic Uncertainty with Explainable Artificial Intelligence', International Journal of Electronic Commerce, 0 (accepted, in press) | en_US |
| dc.identifier.issn | 1086-4415 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/33118 | - |
| dc.description | ... | en_US |
| dc.description.abstract | ... | en_US |
| dc.format.extent | 1–42 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language.iso | en | en_US |
| dc.publisher | Routledge (Taylor and Francis Group) | en_US |
| dc.title | Predicting Cryptocurrency Prices during Economic Uncertainty with Explainable Artificial Intelligence | en_US |
| dc.type | Article | en_US |
| dc.relation.isPartOf | International Journal of Electronic Commerce | - |
| pubs.issue | 0 | - |
| pubs.publication-status | Accepted | - |
| pubs.volume | 00 | - |
| dc.identifier.eissn | 1557-9301 | - |
| dc.contributor.orcid | Nandy, Monomita [0000-0001-8191-2412] | - |
| dc.contributor.orcid | Onieva, Enrique [0000-0001-9581-1823] | - |
| Appears in Collections: | Department of Economics, Finance and Accounting Embargoed Research Papers * | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed until publication | 920.73 kB | Adobe PDF | View/Open |
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