Nonlinear effects of financial factors on fluctuations in nonferrous metals prices: A Markov-switching VAR analysis
Because of the irreversibility of financialization in nonferrous metals markets, the security of nonferrous metals resources has shifted from a supply security mode based on “production-supply” towards an economic security mode based on “trade-finance”. Thus, the pricing mechanism of nonferrous meta...
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Veröffentlicht in: | Resources policy 2019-06, Vol.61, p.489-500 |
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description | Because of the irreversibility of financialization in nonferrous metals markets, the security of nonferrous metals resources has shifted from a supply security mode based on “production-supply” towards an economic security mode based on “trade-finance”. Thus, the pricing mechanism of nonferrous metals has become more complex and presents features such as nonlinearity, dynamic characteristics and structure dissimilation. Based on this background, we construct a theoretical framework for analysing the effects of financial factors on fluctuations in nonferrous metals prices and employ the Markov-switching vector autoregression (MS-VAR) model to conduct a nonlinear empirical analysis based on monthly data of international copper futures prices from August 2004 to October 2016. Further, we include supply and demand factors for a comparative analysis. The results show that copper futures price fluctuations present a regime switching dynamic that can be characterized as “steep drop”, “small drop” and “steady rise” periods. During each period, financial factors can fully explain the price volatility while in different mechanism, and the “Chinese factor” has apparently been exaggerated. In addition, oil price is key to monitoring the short-term volatility risks of copper futures prices in the downward cycle. The conclusions along with the established nonlinear econometric models provide a new intellectual framework and analysis tool for explaining the financialization of commodity markets.
•A theoretical framework of financial factors influencing nonferrous metals prices is constructed.•The MS-VAR model is employed to do nonlinear empirical analysis.•Financial factors can explain copper futures prices volatility while in different mechanism.•Oil price is key to monitoring short-term volatility of copper prices in the downward cycle. |
doi_str_mv | 10.1016/j.resourpol.2018.04.015 |
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•A theoretical framework of financial factors influencing nonferrous metals prices is constructed.•The MS-VAR model is employed to do nonlinear empirical analysis.•Financial factors can explain copper futures prices volatility while in different mechanism.•Oil price is key to monitoring short-term volatility of copper prices in the downward cycle.</description><identifier>ISSN: 0301-4207</identifier><identifier>EISSN: 1873-7641</identifier><identifier>DOI: 10.1016/j.resourpol.2018.04.015</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Commodity markets ; Comparative analysis ; Coordination compounds ; Copper ; Dynamic characteristics ; Econometrics ; Economic models ; Empirical analysis ; Finance ; Financial factor ; Financial factors ; Futures ; Markets ; Markov chains ; Metals ; MS-VAR model ; Nonferrous metals ; Nonferrous metals prices ; Nonlinear analysis ; Nonlinear effect ; Nonlinearity ; Petroleum ; Prices ; Security ; Supply & demand ; Switching ; Variation ; Volatility</subject><ispartof>Resources policy, 2019-06, Vol.61, p.489-500</ispartof><rights>2018 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Jun 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c442t-fcef5300ae86825b959c6e5528ada068a84655238fee94acdccbe8e35d3430e83</citedby><cites>FETCH-LOGICAL-c442t-fcef5300ae86825b959c6e5528ada068a84655238fee94acdccbe8e35d3430e83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0301420717304956$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27843,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Chen, Jinyu</creatorcontrib><creatorcontrib>Zhu, Xuehong</creatorcontrib><creatorcontrib>Zhong, Meirui</creatorcontrib><title>Nonlinear effects of financial factors on fluctuations in nonferrous metals prices: A Markov-switching VAR analysis</title><title>Resources policy</title><description>Because of the irreversibility of financialization in nonferrous metals markets, the security of nonferrous metals resources has shifted from a supply security mode based on “production-supply” towards an economic security mode based on “trade-finance”. Thus, the pricing mechanism of nonferrous metals has become more complex and presents features such as nonlinearity, dynamic characteristics and structure dissimilation. Based on this background, we construct a theoretical framework for analysing the effects of financial factors on fluctuations in nonferrous metals prices and employ the Markov-switching vector autoregression (MS-VAR) model to conduct a nonlinear empirical analysis based on monthly data of international copper futures prices from August 2004 to October 2016. Further, we include supply and demand factors for a comparative analysis. The results show that copper futures price fluctuations present a regime switching dynamic that can be characterized as “steep drop”, “small drop” and “steady rise” periods. During each period, financial factors can fully explain the price volatility while in different mechanism, and the “Chinese factor” has apparently been exaggerated. In addition, oil price is key to monitoring the short-term volatility risks of copper futures prices in the downward cycle. The conclusions along with the established nonlinear econometric models provide a new intellectual framework and analysis tool for explaining the financialization of commodity markets.
•A theoretical framework of financial factors influencing nonferrous metals prices is constructed.•The MS-VAR model is employed to do nonlinear empirical analysis.•Financial factors can explain copper futures prices volatility while in different mechanism.•Oil price is key to monitoring short-term volatility of copper prices in the downward cycle.</description><subject>Commodity markets</subject><subject>Comparative analysis</subject><subject>Coordination compounds</subject><subject>Copper</subject><subject>Dynamic characteristics</subject><subject>Econometrics</subject><subject>Economic models</subject><subject>Empirical analysis</subject><subject>Finance</subject><subject>Financial factor</subject><subject>Financial factors</subject><subject>Futures</subject><subject>Markets</subject><subject>Markov chains</subject><subject>Metals</subject><subject>MS-VAR model</subject><subject>Nonferrous metals</subject><subject>Nonferrous metals prices</subject><subject>Nonlinear analysis</subject><subject>Nonlinear effect</subject><subject>Nonlinearity</subject><subject>Petroleum</subject><subject>Prices</subject><subject>Security</subject><subject>Supply & demand</subject><subject>Switching</subject><subject>Variation</subject><subject>Volatility</subject><issn>0301-4207</issn><issn>1873-7641</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNqFkFtLxDAQhYMouF5-gwGfWydt2mZ9W8QbeAFRX0NMJ5q1JmumVfz3RlZ89WmY4ZzDnI-xAwGlANEeLcuEFKe0ikNZgVAlyBJEs8FmQnV10bVSbLIZ1CAKWUG3zXaIlgDQdKqdMbqJYfABTeLoHNqReHTc-WCC9WbgztgxpnwM3A2THScz-hiI-8BDDA5TihPxNxzNQHyVvEU65gt-bdJr_Cjo04_2xYdn_ri44yaY4Ys87bEtl-W4_zt32cPZ6f3JRXF1e355srgqrJTVWDiLrqkBDKpWVc3TvJnbFpumUqY30CqjZJu3WjnEuTS2t_YJFdZNX8saUNW77HCdu0rxfUIa9TJzyk-QriqZwUjVdlnVrVU2RaKETucabyZ9aQH6h7Be6j_C-oewBqkz4excrJ2YS3x4TJqsx2Cx9ymT1H30_2Z8A_J1i68</recordid><startdate>201906</startdate><enddate>201906</enddate><creator>Chen, Jinyu</creator><creator>Zhu, Xuehong</creator><creator>Zhong, Meirui</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>201906</creationdate><title>Nonlinear effects of financial factors on fluctuations in nonferrous metals prices: A Markov-switching VAR analysis</title><author>Chen, Jinyu ; Zhu, Xuehong ; Zhong, Meirui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c442t-fcef5300ae86825b959c6e5528ada068a84655238fee94acdccbe8e35d3430e83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Commodity markets</topic><topic>Comparative analysis</topic><topic>Coordination compounds</topic><topic>Copper</topic><topic>Dynamic characteristics</topic><topic>Econometrics</topic><topic>Economic models</topic><topic>Empirical analysis</topic><topic>Finance</topic><topic>Financial factor</topic><topic>Financial factors</topic><topic>Futures</topic><topic>Markets</topic><topic>Markov chains</topic><topic>Metals</topic><topic>MS-VAR model</topic><topic>Nonferrous metals</topic><topic>Nonferrous metals prices</topic><topic>Nonlinear analysis</topic><topic>Nonlinear effect</topic><topic>Nonlinearity</topic><topic>Petroleum</topic><topic>Prices</topic><topic>Security</topic><topic>Supply & demand</topic><topic>Switching</topic><topic>Variation</topic><topic>Volatility</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Jinyu</creatorcontrib><creatorcontrib>Zhu, Xuehong</creatorcontrib><creatorcontrib>Zhong, Meirui</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>Chen, Jinyu</au><au>Zhu, Xuehong</au><au>Zhong, Meirui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Nonlinear effects of financial factors on fluctuations in nonferrous metals prices: A Markov-switching VAR analysis</atitle><jtitle>Resources policy</jtitle><date>2019-06</date><risdate>2019</risdate><volume>61</volume><spage>489</spage><epage>500</epage><pages>489-500</pages><issn>0301-4207</issn><eissn>1873-7641</eissn><abstract>Because of the irreversibility of financialization in nonferrous metals markets, the security of nonferrous metals resources has shifted from a supply security mode based on “production-supply” towards an economic security mode based on “trade-finance”. Thus, the pricing mechanism of nonferrous metals has become more complex and presents features such as nonlinearity, dynamic characteristics and structure dissimilation. Based on this background, we construct a theoretical framework for analysing the effects of financial factors on fluctuations in nonferrous metals prices and employ the Markov-switching vector autoregression (MS-VAR) model to conduct a nonlinear empirical analysis based on monthly data of international copper futures prices from August 2004 to October 2016. Further, we include supply and demand factors for a comparative analysis. The results show that copper futures price fluctuations present a regime switching dynamic that can be characterized as “steep drop”, “small drop” and “steady rise” periods. During each period, financial factors can fully explain the price volatility while in different mechanism, and the “Chinese factor” has apparently been exaggerated. In addition, oil price is key to monitoring the short-term volatility risks of copper futures prices in the downward cycle. The conclusions along with the established nonlinear econometric models provide a new intellectual framework and analysis tool for explaining the financialization of commodity markets.
•A theoretical framework of financial factors influencing nonferrous metals prices is constructed.•The MS-VAR model is employed to do nonlinear empirical analysis.•Financial factors can explain copper futures prices volatility while in different mechanism.•Oil price is key to monitoring short-term volatility of copper prices in the downward cycle.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.resourpol.2018.04.015</doi><tpages>12</tpages></addata></record> |
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subjects | Commodity markets Comparative analysis Coordination compounds Copper Dynamic characteristics Econometrics Economic models Empirical analysis Finance Financial factor Financial factors Futures Markets Markov chains Metals MS-VAR model Nonferrous metals Nonferrous metals prices Nonlinear analysis Nonlinear effect Nonlinearity Petroleum Prices Security Supply & demand Switching Variation Volatility |
title | Nonlinear effects of financial factors on fluctuations in nonferrous metals prices: A Markov-switching VAR analysis |
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