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The impact of oil price on the clean energy metal prices: A multi-scale perspective
To examine the spillover effects of crude oil price and clean energy metal prices, we first explore the Granger causality between crude oil and clean energy metals prices. Then, we decompose crude oil price returns into a high frequency sequence (Oil_HF), a low frequency sequence (Oil_LF), and a tre...
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Published in: | Resources policy 2020-10, Vol.68, p.101730, Article 101730 |
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description | To examine the spillover effects of crude oil price and clean energy metal prices, we first explore the Granger causality between crude oil and clean energy metals prices. Then, we decompose crude oil price returns into a high frequency sequence (Oil_HF), a low frequency sequence (Oil_LF), and a trend residual (Oil_res) using the ensemble empirical mode decomposition model. Lastly, a VAR model is used to study the spillover effects of crude oil price on seven types of clean energy metal prices. The results show that crude oil price has non-linear Granger causality with lithium, cobalt, manganese, antimony, cadmium, molybdenum, and tellurium. And crude oil price has a significant positive spillover effect on seven types of clean energy metals at different time scales. Specifically, the crude oil original sequence, Oil_HF, Oil_LF, and Oil_res all have fluctuation effects on the cobalt and molybdenum markets. The spillover effects of the crude oil market on the lithium, manganese, antimony, and cadmium markets are caused by the low frequency sequence. The trend in crude oil price returns has a great effect on tellurium price, while the spillover effects of crude oil price, Oil_HF, and Oil_LF on tellurium are weak positive.
•The spillover effects across the crude oil and clean energy metal markets are examined.•The empirical analysis is from a multi-scale perspective.•Crude oil price returns have spillover effects on seven types of clean energy metal prices.•The spillover effects of crude oil price returns on clean energy metal prices can be distinct in different timescale. |
doi_str_mv | 10.1016/j.resourpol.2020.101730 |
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•The spillover effects across the crude oil and clean energy metal markets are examined.•The empirical analysis is from a multi-scale perspective.•Crude oil price returns have spillover effects on seven types of clean energy metal prices.•The spillover effects of crude oil price returns on clean energy metal prices can be distinct in different timescale.</description><identifier>ISSN: 0301-4207</identifier><identifier>EISSN: 1873-7641</identifier><identifier>DOI: 10.1016/j.resourpol.2020.101730</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Antimony ; Cadmium ; Causality ; Clean energy ; Clean energy metals ; Clean technology ; Cobalt ; Crude oil ; Crude oil prices ; Ensemble empirical mode decomposition ; Green energy ; Lithium ; Low frequencies ; Manganese ; Markets ; Metals ; Molybdenum ; Multi-scale analysis ; Petroleum ; Prices ; Spillover effects ; Tellurium</subject><ispartof>Resources policy, 2020-10, Vol.68, p.101730, Article 101730</ispartof><rights>2020 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Oct 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c376t-586eecc5378b73c62a2931b3612801760f4aa9a513c877d9dad2594304dd338d3</citedby><cites>FETCH-LOGICAL-c376t-586eecc5378b73c62a2931b3612801760f4aa9a513c877d9dad2594304dd338d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27843,27901,27902,33200</link.rule.ids></links><search><creatorcontrib>Shao, Liuguo</creatorcontrib><creatorcontrib>Zhang, Hua</creatorcontrib><title>The impact of oil price on the clean energy metal prices: A multi-scale perspective</title><title>Resources policy</title><description>To examine the spillover effects of crude oil price and clean energy metal prices, we first explore the Granger causality between crude oil and clean energy metals prices. Then, we decompose crude oil price returns into a high frequency sequence (Oil_HF), a low frequency sequence (Oil_LF), and a trend residual (Oil_res) using the ensemble empirical mode decomposition model. Lastly, a VAR model is used to study the spillover effects of crude oil price on seven types of clean energy metal prices. The results show that crude oil price has non-linear Granger causality with lithium, cobalt, manganese, antimony, cadmium, molybdenum, and tellurium. And crude oil price has a significant positive spillover effect on seven types of clean energy metals at different time scales. Specifically, the crude oil original sequence, Oil_HF, Oil_LF, and Oil_res all have fluctuation effects on the cobalt and molybdenum markets. The spillover effects of the crude oil market on the lithium, manganese, antimony, and cadmium markets are caused by the low frequency sequence. The trend in crude oil price returns has a great effect on tellurium price, while the spillover effects of crude oil price, Oil_HF, and Oil_LF on tellurium are weak positive.
•The spillover effects across the crude oil and clean energy metal markets are examined.•The empirical analysis is from a multi-scale perspective.•Crude oil price returns have spillover effects on seven types of clean energy metal prices.•The spillover effects of crude oil price returns on clean energy metal prices can be distinct in different timescale.</description><subject>Antimony</subject><subject>Cadmium</subject><subject>Causality</subject><subject>Clean energy</subject><subject>Clean energy metals</subject><subject>Clean technology</subject><subject>Cobalt</subject><subject>Crude oil</subject><subject>Crude oil prices</subject><subject>Ensemble empirical mode decomposition</subject><subject>Green energy</subject><subject>Lithium</subject><subject>Low frequencies</subject><subject>Manganese</subject><subject>Markets</subject><subject>Metals</subject><subject>Molybdenum</subject><subject>Multi-scale analysis</subject><subject>Petroleum</subject><subject>Prices</subject><subject>Spillover effects</subject><subject>Tellurium</subject><issn>0301-4207</issn><issn>1873-7641</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><sourceid>8BJ</sourceid><recordid>eNqFkEtPwzAQhC0EEqXwG7DEOcWPxE64VRUvqRIHytly7Q04SuJgp5X673FJxZXTSrszs5oPoVtKFpRQcd8sAkS_C4NvF4yw363k5AzNaCl5JkVOz9GMcEKznBF5ia5ibAghhSzFDL1vvgC7btBmxL7G3rV4CM4A9j0e08m0oHsMPYTPA-5g1Kd7fMBL3O3a0WXR6BbwACEOYEa3h2t0Ues2ws1pztHH0-Nm9ZKt355fV8t1ZrgUY1aUAsCYgstyK7kRTLOK0y0XlJWpgiB1rnWlC8pNKaWtrLasqHJOcms5Ly2fo7spdwj-ewdxVE3i0KeXiuVFTitBKUkqOalM8DEGqFUq0OlwUJSoI0HVqD-C6khQTQSTczk5IZXYOwgqGge9AetCaqqsd_9m_ABfWH0C</recordid><startdate>202010</startdate><enddate>202010</enddate><creator>Shao, Liuguo</creator><creator>Zhang, Hua</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TA</scope><scope>7TQ</scope><scope>8BJ</scope><scope>8FD</scope><scope>DHY</scope><scope>DON</scope><scope>FQK</scope><scope>JBE</scope><scope>JG9</scope></search><sort><creationdate>202010</creationdate><title>The impact of oil price on the clean energy metal prices: A multi-scale perspective</title><author>Shao, Liuguo ; Zhang, Hua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c376t-586eecc5378b73c62a2931b3612801760f4aa9a513c877d9dad2594304dd338d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Antimony</topic><topic>Cadmium</topic><topic>Causality</topic><topic>Clean energy</topic><topic>Clean energy metals</topic><topic>Clean technology</topic><topic>Cobalt</topic><topic>Crude oil</topic><topic>Crude oil prices</topic><topic>Ensemble empirical mode decomposition</topic><topic>Green energy</topic><topic>Lithium</topic><topic>Low frequencies</topic><topic>Manganese</topic><topic>Markets</topic><topic>Metals</topic><topic>Molybdenum</topic><topic>Multi-scale analysis</topic><topic>Petroleum</topic><topic>Prices</topic><topic>Spillover effects</topic><topic>Tellurium</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shao, Liuguo</creatorcontrib><creatorcontrib>Zhang, Hua</creatorcontrib><collection>CrossRef</collection><collection>Materials Business File</collection><collection>PAIS Index</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Technology Research Database</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>Materials Research Database</collection><jtitle>Resources policy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shao, Liuguo</au><au>Zhang, Hua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The impact of oil price on the clean energy metal prices: A multi-scale perspective</atitle><jtitle>Resources policy</jtitle><date>2020-10</date><risdate>2020</risdate><volume>68</volume><spage>101730</spage><pages>101730-</pages><artnum>101730</artnum><issn>0301-4207</issn><eissn>1873-7641</eissn><abstract>To examine the spillover effects of crude oil price and clean energy metal prices, we first explore the Granger causality between crude oil and clean energy metals prices. Then, we decompose crude oil price returns into a high frequency sequence (Oil_HF), a low frequency sequence (Oil_LF), and a trend residual (Oil_res) using the ensemble empirical mode decomposition model. Lastly, a VAR model is used to study the spillover effects of crude oil price on seven types of clean energy metal prices. The results show that crude oil price has non-linear Granger causality with lithium, cobalt, manganese, antimony, cadmium, molybdenum, and tellurium. And crude oil price has a significant positive spillover effect on seven types of clean energy metals at different time scales. Specifically, the crude oil original sequence, Oil_HF, Oil_LF, and Oil_res all have fluctuation effects on the cobalt and molybdenum markets. The spillover effects of the crude oil market on the lithium, manganese, antimony, and cadmium markets are caused by the low frequency sequence. The trend in crude oil price returns has a great effect on tellurium price, while the spillover effects of crude oil price, Oil_HF, and Oil_LF on tellurium are weak positive.
•The spillover effects across the crude oil and clean energy metal markets are examined.•The empirical analysis is from a multi-scale perspective.•Crude oil price returns have spillover effects on seven types of clean energy metal prices.•The spillover effects of crude oil price returns on clean energy metal prices can be distinct in different timescale.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.resourpol.2020.101730</doi></addata></record> |
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source | International Bibliography of the Social Sciences (IBSS); Elsevier; PAIS Index |
subjects | Antimony Cadmium Causality Clean energy Clean energy metals Clean technology Cobalt Crude oil Crude oil prices Ensemble empirical mode decomposition Green energy Lithium Low frequencies Manganese Markets Metals Molybdenum Multi-scale analysis Petroleum Prices Spillover effects Tellurium |
title | The impact of oil price on the clean energy metal prices: A multi-scale perspective |
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