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论文

基于MSVAR模型的有色金属价格波动影响因素的非线性效应研究

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  • 1. 中南大学商学院, 湖南 长沙 410083;
    2. 中南大学金属资源战略研究院, 湖南 长沙 410083

收稿日期: 2014-10-19

  修回日期: 2015-05-16

  网络出版日期: 2016-04-29

基金资助

国家社会科学基金重大项目(13&ZD024,13&ZD169,14&ZDB136);国家自然科学基金面上资助项目(71573282);教育部人文社会科学研究项目(13YJAZH149);湖南省自然科学基金资助项目(2015JJ2182);湖南省教育厅开放基金资助项目(15K133);中南大学研究生自主探索创新基金(2014zzts124,2015zzts005)

Nonlinear Effect Studies of Influence Factors of Nonferrous Metals Price Fluctuation Based on MSVAR Model

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  • 1. School of Business, Central South Universtiy, Changsha 410083, China;
    2. Institute of Metal Resources Strategy, Changsha 410083, China

Received date: 2014-10-19

  Revised date: 2015-05-16

  Online published: 2016-04-29

摘要

由于新兴市场需求增长和指数化投资同时出现在金属期货市场上,且供需因素与金融因素相互作用使得有色金属价格形成机制更为复杂,呈现出非线性、动态性以及结构异化等特征。基于此背景,本文提炼供需因素与金融因素影响有色金属价格波动的作用机理,选取2000年2月至2014年3月的月度数据,并构建MSVAR模型以铜为例展开实证分析。结果表明:铜价波动存在显著的区制转换特征,即膨胀期、平稳期、低迷期三种状态;三种状态下,金融因素都可以很好地解释期铜价格波动,但作用机制明显不同,而"中国因素"则被明显夸大,与原有研究结论相左;短期内各个因素在不同区制下对国际期铜价格的影响在作用方向、持续时间、作用强度上表现出显著的差异性。这些研究结论与构建的非线性计量经济模型为解释大宗商品金融化提供了新的思路与分析工具。

本文引用格式

钟美瑞, 谌杰宇, 黄健柏, 谌金宇 . 基于MSVAR模型的有色金属价格波动影响因素的非线性效应研究[J]. 中国管理科学, 2016 , 24(4) : 45 -53 . DOI: 10.16381/j.cnki.issn1003-207x.2016.04.006

Abstract

Owing to the simultaneous appearance of growth demand in emerging markets and indexing investment in metal futures market and interaction between supply and demand factors and financial factor, the pricing mechanism of nonferrous metals becomes more complex presenting characteristics such as nonlinearity, dynamics and structure dissimilation. Based on the above background, the pricing mechanism of nonferrous metals affected by supply and demand factors and financial factors is put forward. Monthly data from February 2000 to March 2014 is selected and MSVAR model is constructed to do empirical analysis as the example of copper. The results show that the price fluctuation of copper owns the feature of regime switching, namely, inflation period, depression period and steady period. During each period, financial factors could explain price violation completely while in different mechanism, and Chinese factor is apparently exaggerated, which is different from the previous studies.In the short term, each factor's impacts on international copper futures prices under different regimes have significant difference in function direction, duration and function strength. The conclusions and the nonlinear econometric models established provide new thinking and analysis tool for commodity financialization explanation.

参考文献

[1] Trostle R.Global agricultural demand and supply: Factors contributing to the recent increase in food commodity price.Working Paper, USDA Economic Research Service,2008.

[2] Kilian L.Not all oil price shocks are alike: Disentangling demand and supply shocks in the crude oil market[J]. American Economic Review, 2009,99(3):1053-1069.

[3] 黄健柏,李琼鹤.国际期铜价格中的"中国因素"研究[J].价格理论与实践,2011,(12):61-62.

[4] Dwyer A, Gardner G,Williams T.Global commodity markets-price volatility and financialisation[J].RBA Bulletin,2011,(6):49-57.

[5] Anzuini A, Lombardi M J,Pagano P. The impact of monetary policy shocks on commodity prices[J]. International Journal of Central Banking, 2013,9(3):125-150.

[6] McCalla A F.World food prices: Causes and consequences [J].Canadian Journal of Agricultural Economics, 2009,57(1):23-34.

[7] Harri A, Nalley L, Hudson D.The relationship between oil,exchange rates and commodity prices[J].Journal of Agricultural and Applied Economics, 2009, 41(2):29-64.

[8] 冯辉,张蜀林.国际黄金期货价格决定要素的实证分析[J].中国管理科学,2012,20(S1):424-428.

[9] Masters M.Testimony before the committee on homeland security and governmental affairs.Working Paper US Senate, Washington,2008.

[10] Tang Ke, Xiong Wei. Index investment and the financialization of commodities[J].Financial Analyst Journal, 2012,68(6):712-754.

[11] 谢飞,韩立岩. 投机还是实需:国际商品期货价格的影响因素分析[J].管理世界,2012,(10):71-82.

[12] Frankel J A.The effect of monetary policy on real commodity prices . Working paper,National Bureau of Economic Research,2006.

[13] Roache S,Rossi M.The effects of economic news on commodity prices[J]. Quarterly Review of Economics and Finance,2010,50(3):377-385.

[14] Akram Q F.Commodity prices,interest rates and the dollar[J].Energy Economic, 2009,31(6):838-851.

[15] Baffes J.Oil spills on other commodities [J]. Resources Policy, 2007,32(3):126-134.

[16] Hammoudeh S,Sari R, Ewing B T.Relationships among strategic commodities and with financial variables: A new look[J].Contemporary Economic Policy,2008,27(2):251-264.

[17] Soytas U,Sari R, Hammodeh S, et al.World oil prices,precious metal prices and macroeconomy in Turkey[J].Energy Policy,2009,37(12):5557-5566.

[18] Sari R,Hammoudeh S, Soytas U. Dynamics of oil price,precious metal prices,and exchange rate[J].Energy Economics,2010,32(2):351-362.

[19] Humphreys D.The great metals boom: Aretrospective[J].Resources Policy,2010, 35(1):1-13.

[20] Tilton J E.Outlook for copper prices-up or down[J].Commodities Research Unit World Copper Conference, 2006,58(8):16-20.

[21] Cooney S,Pirog R,Folger P. Mineral's price increases and volatility: Causes and consequences .Working Paper,Congressional Research Service,Washington DC,2008.

[22] Streifel S. Impact of China and India on global commodity markets focus on metals & minerals and petroleum. Working Paper Development Prospects Group, World Bank. 2006.

[23] Gilbert C L. How to understand high food prices [J].Journal of Agricultural Economics,2010,61(2):398-425.

[24] Quandt R E.The estimation of parameters of a linear regression system obeying two separate regimes[J].Journal of the Royal Statistic Association, 1958,53(284):873-880.

[25] Goldfeld S M, Quandt R E.A markov model for switching regression[J].Journal of Econometrics,1973,1(1):3-16.

[26] HamiltonJ D.Analysis of time series subject to changes in regime[J].Journal of Econometrics,1990,45(1):39-70.

[27] Sims C A, Stock J H, Watson M W. Inference in linear time series models with some unit roots[J]. Econometrica, 1990,58(1):113-144.

[28] 严太华,陈明玉.基于马尔科夫切换模型的上证指数周收益率时间序列分析[J].中国管理科学,2009,17(6):33-38.

[29] 朱孟楠,刘林,倪玉娟.人民币汇率与我国房地产价格-基于Markov区制转换VAR模型的实证研究[J].金融研究,2011,(5):58-71.

[30] 李芳,李秋娟.人民币汇率与房地产价格的互动关系—基于2005-2012年月度数据的MSVAR模型分析[J].国际金融研究,2014,(3):86-96.

[31] 孟庆斌,靳晓婷,吴蕾.我国通货膨胀影响因素的非线性影响效应分析[J].金融研究,2014,(4):30-46.

[32] 李智,林伯强.基于MSVAR的国际原油期货价格变动研究[J].金融研究,2014,(1):99-109.

[33] 韩立岩,尹力博.投机行为还是实际需求?—国际大宗商品价格影响因素的广义视角分析[J].经济研究,2012,(12):83-96.
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