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
Hauptverfasser: Chen, Jinyu, Zhu, Xuehong, Zhong, Meirui
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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.
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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><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 &amp; 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. 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In addition, oil price is key to monitoring the short-term volatility risks of copper futures prices in the downward cycle. 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source PAIS Index; Elsevier ScienceDirect Journals
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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