{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,23]],"date-time":"2024-09-23T20:59:41Z","timestamp":1727125181190},"reference-count":23,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2022,2,18]],"date-time":"2022-02-18T00:00:00Z","timestamp":1645142400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,7,25]]},"abstract":"Abstract<\/jats:title>\n The price of copper is unstable but it is considered an important indicator of the global economy. Changes in the price of copper point to higher global growth or an impending recession. In this work, the forecasting of the spot prices of copper from the New York Commodity Exchange is studied using a machine learning method, support vector regression coupled with different model schemas (recursive, direct and hybrid multi-step). Using these techniques, three different time series analyses are built and its performance are compared. The numerical results show that the hybrid direct-recursive obtains the best results.<\/jats:p>","DOI":"10.1093\/jigpal\/jzac039","type":"journal-article","created":{"date-parts":[[2022,1,25]],"date-time":"2022-01-25T12:19:36Z","timestamp":1643113176000},"page":"775-784","source":"Crossref","is-referenced-by-count":1,"title":["A support vector regression model for time series forecasting of the COMEX copper spot price"],"prefix":"10.1093","volume":"31","author":[{"given":"Esperanza","family":"Garc\u00eda-Gonzalo","sequence":"first","affiliation":[{"name":"University of Oviedo Faculty of Sciences, , c\/ Federico Garc\u00eda Lorca 18, 33007 Oviedo, Spain"}]},{"given":"Paulino Jos\u00e9","family":"Garc\u00eda Nieto","sequence":"additional","affiliation":[{"name":"University of Oviedo Faculty of Sciences, , c\/ Federico Garc\u00eda Lorca 18, 33007 Oviedo, Spain"}]},{"given":"Javier","family":"Gracia Rodr\u00edguez","sequence":"additional","affiliation":[{"name":"University of Oviedo School of Mining, Energy and Materials Engineering, , c\/ Independencia 13, 33004 Oviedo, Spain"}]},{"given":"Fernando","family":"S\u00e1nchez Lasheras","sequence":"additional","affiliation":[{"name":"University of Oviedo Faculty of Sciences, , c\/ Federico Garc\u00eda Lorca 18, 33007 Oviedo, Spain"}]},{"given":"Gregorio","family":"Fidalgo Valverde","sequence":"additional","affiliation":[{"name":"University of Oviedo School of Mining, Energy and Materials Engineering, , c\/ Independencia 13, 33004 Oviedo, Spain"}]}],"member":"286","published-online":{"date-parts":[[2022,2,18]]},"reference":[{"article-title":"Impact of China and India on global commodity markets: focus on metals & minerals and petroleum","year":"2006","author":"Streifel","key":"2023072813243447300_ref1"},{"key":"2023072813243447300_ref2","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1057\/imfsp.2008.19","article-title":"Super cycles in real metals prices?","volume":"55","author":"Cuddington","year":"2008","journal-title":"IMF Staff Papers"},{"volume-title":"China\u2019s Impact on World Commodity Markets","year":"2012","author":"Roache","key":"2023072813243447300_ref3"},{"key":"2023072813243447300_ref4","article-title":"Ahead of the tape","author":"Lahart","year":"2006","journal-title":"Dr. Copper"},{"key":"2023072813243447300_ref5","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.resourpol.2007.04.001","article-title":"Assessing the long-run availability of copper","volume":"32","author":"Tilton","year":"2007","journal-title":"Resources Policy"},{"key":"2023072813243447300_ref6","doi-asserted-by":"crossref","first-page":"1209","DOI":"10.1073\/pnas.0509498103","article-title":"Metal stocks and sustainability","volume":"103","author":"Gordon","year":"2006","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"2023072813243447300_ref7","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/j.resourpol.2005.08.007","article-title":"An assessment of time series methods in metal price forecasting","volume":"30","author":"Dooley","year":"2005","journal-title":"Resources Policy"},{"key":"2023072813243447300_ref8","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/j.resourpol.2010.07.004","article-title":"Can oil prices help estimate commodity futures prices? 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