With the further development of economic globalization and the increasing influence of Chinese factor, the price linkage mechanism of domestic and foreign metal futures markets as well as international pricing issues have drawn public's attention. Based on the multi-dimensional information spillovers and by taking the examples of SHFE (Shanghai Futures Exchange), LME (London Metal Exchange) and COMEX (New York Commodity Exchange), Directed Acyclic Graphs and Information Spillover Index model are used to study the dynamic linkage between domestic and foreign copper futures markets from 1994 to 2015,and the current situation and dynamic trend of international pricing power of Chinese copper futures market are also measured. The results show that the return spillovers are much stronger than volatility spillovers,and the dynamic of return and volatility spillovers show significant difference, the return spillovers display a significant increasing trend, while the volatility spillovers are more influenced by extreme events like financial crisis. Furthermore,the international pricing power of SHFE copper market shows the characteristics of stages.It presents a gradually rising trend before October 2003, then falls back, and significantly improves after 2007. But the information spillover strength from international market to SHFE copper market is higher than the foreign overflow of SHFE copper market,which demonstrats that the international pricing power of Chinese copper futures market is still relatively weak.Our findings can not only provide valuable market information for market participants and regulators, but also have important theoretical value and practical significance for correctly understanding the role of Chinese metal futures market in international commodity pricing, while also accelerats the development of Chinese metal futures market.
ZHU Xue-hong, CHEN Jin-yu, SHAO Liu-guo
. The International Pricing Power of Chinese Metal Futures Market Based on Information Spillover[J]. Chinese Journal of Management Science, 2016
, 24(9)
: 28
-35
.
DOI: 10.16381/j.cnki.issn1003-207x.2016.09.004
[1] 蒋序标,周志明.LME 与SHFE 期铜价格引导关系实证研究[J].系统工程,2004,22(9):66-68.
[2] 华仁海,卢斌,刘庆富.中国期铜市场的国际定价功能研究[J].数量经济技术经济研究,2008,(8):83-93.
[3] Isabel F F, Jesús G. Modelling and measuring price discovery in commodity markets[J]. Journal of Econometrics,2010,158(1):95-107.
[4] 杨浩,马鹤. 中国对国际大宗农产品的价格影响力研究—基于大豆期货市场的实证分析[J]. 中国管理科学,2012,22(S2):848-853.
[5] 邵燕敏,汪寿阳.基于门限向量误差修正模型的中国与国际有色金属期货价格关联性研究[J].系统工程理论与实践,2012,32(11):2387-2393.
[6] Fung H G, Leung W K, Xu X E. Information flows between the U.S.and China commodity futures trading[J].Review of Quantitave Finance and Accounting,2003,21(3):267-285.
[7] 吴文锋,刘太阳,吴冲锋.上海与伦敦期铜市场之间的波动溢出效应研究[J].管理工程学报,2007,21(3):111-115.
[8] 高金余,刘庆富.伦敦与上海期铜市场之间的信息传递关系研究[J].金融研究,2007,(2):63-73.
[9] 刘庆富,张金清,华仁海.LME与SHFE金属期货市场之间的信息传递效应研究[J].管理工程学报,2008,22(2):155-159.
[10] 方毅.国内外期铜价格之间的长期记忆成分和短期波动溢出效应[J].数理统计与管理,2008,27(2):304-312.
[11] 郭树华,王华,高祖博,等. 金属期货市场价格联动及其波动关系研究[J].国际金融研究,2010,(4):79-88.
[12] Liu Qingfu, An Yunbi.Information transmission in informationally linked market:Evidence from US and Chinese commodity futures market[J].Journal of International Money and Finance,2011,30(5):778-795.
[13] Yue Yiding, Liu Duchi, Xu Shan.Research on the price linkage between Chinese and international non-ferrous metals commodity markets based on VAR-DCC-GARCH models [J]. Transactions of Nonferrous Metals Society of China,2015,25(3):1020-1026.
[14] 韩立岩,郑葵方.铜期货市场信息的国际传递[J].管理评论,2008,20(1):9-16.
[15] 徐国祥,代吉慧.中国与国际大宗商品市场价格之间的关联性研究[J].统计研究,2015,(6):81-89.
[16] Bessler D A,Yang Jian.The structure of interdependence in international stock market[J].Journal of International Money and Finance,2003,22(2):261-287.
[17] 吴文锋,靳莹. 基于DAG方法的物价波动国际间传导研究[J]. 中国管理科学,2008,16(S1):481-485.
[18] Yang Jian, Zhou Yinggang. Credit risk spillovers among financial institutions around the global credit crisis:firm-level evidence[J].Management Science,2013,59(10):2343-2359.
[19] 李苗苗,肖洪钧,赵爽. 金融发展、技术创新与经济增长的关系研究—基于中国的省市面板数据[J]. 中国管理科学,2015,23(2):162-169.
[20] 卜林,李政,张馨月. 短期国际资本流动、人民币汇率和资产价格——基于有向无环图的分析[J]. 经济评论,2015,(1):140-151.
[21] Diebold F X, Yilmaz K. Measuring financial asset return and volatility spillovers with application to global equity market[J].Economic Journal, 2009,119(534):158-171.
[22] Diebold F X, Yilmaz K.Better to give than to receive: Predictive directional measurement of volatility spillovers[J].International Journal of Forecasting,2012,28(1):57-66.
[23] Zhou Xiangyi, Zhang Weijin, Zhang Jie.Volatility spillovers between the Chinese and world equity market[J].Pacific Basin Finance Journal,2012,20(2):247-270.
[24] Alter A, Beyer A. The dynamics of spillver effects during the European sovereign debt turmoil[J].Journal of Banking and Finance,2014,42(4):134-153.
[25] Diebold F X, Yilmaz K. On the network topology of variance decompositions:Measuring the connectedness of financial firms[J].Journal of Econometrics,2014,182(1):119-134.
[26] 尹力博,韩立岩.中国输入型通货膨胀特征研究:程度、来源及渠道[J].数量经济技术经济研究,2014,(7):52-67.
[27] 梁琪,李政,郝项超.中国股票市场国际化研究:基于信息溢出的视角[J].经济研究,2015,(4):150-164.
[28] Xu X E, Fung H G. Cross-market linkages between U.S. and Japanese precious metals futures trading[J].Journal of International Financial Markets,2005,15(2):107-124.
