The impact of uncertainty shocks on energy transition metal prices
| dc.contributor.affiliation | Universidade de Santiago de Compostela. Departamento de Fundamentos da Análise Económica | es_ES |
| dc.contributor.author | Reboredo Nogueira, Juan Carlos | |
| dc.contributor.author | Ugolini, Andrea | |
| dc.date.accessioned | 2024-09-27T10:20:03Z | |
| dc.date.available | 2024-09-27T10:20:03Z | |
| dc.date.issued | 2024-06-10 | |
| dc.description.abstract | We study whether uncertainty shocks are transmitted to energy transition metal (ETM) prices. Using a quantile vector autoregression model, we assess the impact on ETM price changes of shocks arising from economic policy uncertainty, climate policy uncertainty, geopolitical risk, financial market uncertainty, and oil price uncertainty. We document that the impact of uncertainty is U-shaped across ETM price quantiles, with modest effects in the intermediate quantiles and stronger impacts in the extreme, but mainly upper, quantiles. Climate policy uncertainty and geopolitical risk are the main uncertainty drivers in the extreme quantiles, while financial- and oil-related uncertainties have more pervasive effects in the intermediate quantiles. This evidence has implications for policymakers regarding the implementation cost of transition policies that generate uncertainties, and for investors in ETM futures markets regarding diversification and tail risk management decisions | es_ES |
| dc.description.peerreviewed | SI | es_ES |
| dc.description.sponsorship | This research project was funded by the Agencia Estatal de Investigación (Ministerio de Ciencia e Innovación) under research project with reference PID2021-124336OB-I00 co-funded by the European Regional Development Fund (ERDF/FEDER). Funding is gratefully acknowledged from the Xunta de Galicia through the project “Consolidación e Estructuración 2023 GRC GI-2060 - Análise Económica dos Mercados e Institucións - AEMI (ED431C2023/05)” | es_ES |
| dc.identifier.citation | Resources Policy 95 (2024) 105161 | es_ES |
| dc.identifier.doi | 10.1016/j.resourpol.2024.105161 | |
| dc.identifier.essn | 1873-7641 | |
| dc.identifier.issn | 0301-4207 | |
| dc.identifier.uri | http://hdl.handle.net/10347/34926 | |
| dc.journal.title | Resources Policy | |
| dc.language.iso | eng | es_ES |
| dc.page.initial | 105161 | |
| dc.publisher | Elsevier | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/PID2021-124336OB-I00 | es_ES |
| dc.relation.publisherversion | https://doi.org/10.1016/j.resourpol.2024.105161 | es_ES |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | |
| dc.rights | © 2024 The Authors. Published by Elsevier Ltd. This article is available under the Creative Commons CC-BY-NC-ND license | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Uncertainty | es_ES |
| dc.subject | Energy transition metals | es_ES |
| dc.subject | Quantile vector autoregression | es_ES |
| dc.title | The impact of uncertainty shocks on energy transition metal prices | es_ES |
| dc.type | journal article | es_ES |
| dc.type.hasVersion | VoR | es_ES |
| dc.volume.number | 95 | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 7da6c08b-f487-4c2d-b7f5-ad2831085d87 | |
| relation.isAuthorOfPublication.latestForDiscovery | 7da6c08b-f487-4c2d-b7f5-ad2831085d87 |
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