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Commodity Prices after COVID-19: Persistence and Time Trends.
| dc.contributor.author | Monge Moreno, Manuel | |
| dc.contributor.author | Lazcano de Rojas, Ana | |
| dc.date.accessioned | 2022-07-05T10:28:56Z | |
| dc.date.available | 2022-07-05T10:28:56Z | |
| dc.date.issued | 2022 | |
| dc.identifier.issn | 2227-9091 | spa |
| dc.identifier.uri | http://hdl.handle.net/10641/3028 | |
| dc.language.iso | eng | spa |
| dc.publisher | Risks | spa |
| dc.rights | Atribución-NoComercial-SinDerivadas 3.0 España | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
| dc.subject | Commodity prices | spa |
| dc.subject | COVID-19 | spa |
| dc.subject | Machine learning | spa |
| dc.title | Commodity Prices after COVID-19: Persistence and Time Trends. | spa |
| dc.type | journal article | spa |
| dc.type.hasVersion | AM | spa |
| dc.rights.accessRights | open access | spa |
| dc.description.extent | 1941 KB | spa |
| dc.identifier.doi | 10.3390/risks10060128 | spa |
| dc.relation.publisherversion | https://www.mdpi.com/2227-9091/10/6/128 | spa |
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| Ficheros | Tamaño | Formato | Ver |
|---|---|---|---|
| 1.- Commodity Prices after ... | 1.895Mb | Ver/ |
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