Please use this identifier to cite or link to this item: https://bura.brunel.ac.uk/handle/2438/33866
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dc.contributor.authorCaporale, Guglielmo Maria-
dc.contributor.authorGil-Alana, Luis Alberiko-
dc.contributor.authorOjo, Oluwadare O-
dc.date.accessioned2026-09-12T17:41:38Z-
dc.date.available2026-09-12T17:41:38Z-
dc.date.issued2026-09-19-
dc.identifier.citationCaporale, G.M., Gil-Alana, L.A. and Ojo, O.O. (2026) 'Trump Tariffs and Persistence in Crude Oil Prices:A Long-Memory Approach', Review of Economics & Finance, 24, pp. 133–143. doi: 10.55365/1923.x2026.24.12.en_US
dc.identifier.issn1923-7529-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/33866-
dc.descriptionData Availability Statement: The data are publicly available from the website Investing.com .en_US
dc.descriptionJEL Codes: C22, F10, F13.-
dc.descriptionA preprint version of the article is available online: Caporale, Guglielmo Maria, Gil-Alana, Luis Alberiko, Ojo, Oluwadare O., 2026, "Trump Tariffs and Persistence in Crude Oil Prices: A Long-Memory Approach", CESifo Working Papers No. 12562, CESifo, Munich, https://doi.org/10.65864/9bche3qd2ien_US
dc.description.abstractThis paper examines the impact on crude oil prices of the trade tariffs announced by the Trump administration on 2 April 2025 (“Liberation Day”). More specifically, it uses fractional integration methods to analyse daily data on WTI, Brent and Murban oil prices spanning the period from 3 June 2024 to 14 January 2026 for the former two and from 8 October 2024 to 15 January 2026 for the latter. The inclusion of WTI, Brent, and Murban provides a comparative perspective across major regional crude oil benchmarks, making it possible to assess whether the observed persistence is global or benchmark-specific. Their long-memory and persistence properties are investigated initially over the full sample, and then the effects of the Trump tariff announcement are assessed by means of subsample analysis for the pre- and postannouncement period as well as recursive estimation of the fractional differencing parameter d measuring persistence. The results indicate that the unit root null cannot be rejected in any case, whether one considers the full sample or the subsamples, which implies that shocks have permanent effects. Further, the recursive estimation shows a transient loss of precision or instability around the announcement, with no detectable change in persistence as implied by the wide confidence bands.en_US
dc.description.sponsorshipProfessor Luis A. Gil-Alana gratefully acknowledges financial support from the project from ‘Ministerio de Ciencia, Innovación y Universidades`Agencia Estatal de Investigación' (AEI) Spain and `Fondo Europeo de Desarrollo Regional' (FEDER), Grant D2023-149516NB-I00 funded by MCIN/AEI/ 10.13039/501100011033. He also acknowledges support from an internal Project of the Universidad Francisco de Vitoria.en_US
dc.format.extentpp. 133–143-
dc.format.mediumPrint-Electronic-
dc.language.isoenen_US
dc.publisherREF Pressen_US
dc.relation.urihttps://www.ifo.de/en/cesifo/publications/2026/working-paper/trump-tariffs-and-persistence-crude-oil-prices-long-memory-approach-
dc.rightsRe-use licence for this version: CC BY-
dc.rightsLicence for published version: CC BY-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectcrude oil pricesen_US
dc.subjecttrade shocksen_US
dc.subjectTrump tariffsen_US
dc.subjectfractional integrationen_US
dc.subjectlong memoryen_US
dc.subjectpersistence-
dc.subject.classificationC22-
dc.subject.classificationF10-
dc.subject.classificationF13-
dc.subject.other1402 Applied Economics-
dc.subject.other1502 Banking, Finance and Investment-
dc.titleTrump Tariffs and Persistence in Crude Oil Prices:A Long-Memory Approachen_US
dc.typeArticleen_US
dc.date.dateAccepted2026-07-12-
dc.identifier.doihttps://doi.org/10.55365/1923.x2026.24.12-
dc.relation.isPartOfReview of Economics & Finance-
pubs.publication-statusPublished-
pubs.volume24-
dc.identifier.eissn1923-7529-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode.en-
dcterms.dateAccepted2026-07-12-
dcterms.issued2026-09-19-
dc.date.updated2026-09-07T15:28:02Z-
dc.rights.holderThe Author(s)-
dc.contributor.orcidCaporale, Guglielmo Maria [0000-0002-0144-4135]-
Appears in Collections:Department of Economics, Finance and Accounting Research Papers *

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