Summary:
With the continuous opening up and integration of the global financial market, the Chinese gold market frequently interacts with the external market, and its internal linkage relationship also becomes extremely diverse and complex. The price linkage between gold markets reflects the transmission process of information and risk between different markets. The price of gold usually fluctuates due to the interference of external factors, but whether the linkage relationship between markets will change accordingly is not immediately obvious. The effectiveness of the market function and the stable relationship of gold markets are the prerequisites for investors to hedge and diversify their portfolios, and they are also related to the stability of the entire financial market. Gold futures and spot markets have great differences in market structure and trading mechanisms, so distinguishing the two types of markets is helpful for understanding their linkage mechanism and market characteristics. This paper focuses on the inner side of the gold market, taking the Chinese gold market as the main reference, and choosing the United States, Britain, Switzerland, Dubai, Thailand, and Japan as representatives of the international gold spot and futures market. The closing prices of the main gold contracts of the major exchanges are taken here from the financial terminal of Data Stream. Based on this data sample, the dynamic correlation and volatility spillover effects between the major gold markets in China and foreign countries from 2011 to 2018 are comprehensively analyzed. Crude oil prices, the MSCI index, and the US dollar index are introduced as external shocks to test the impact of different types of market factors on the linkage between the gold spot and futures market and to explore the stability of price linkage between the Chinese and foreign gold markets. The results show that there is a positive correlation between the Chinese gold market and the major global gold spot and futures markets as a whole, and there is a one-way or two-way volatility spillover effect between them. The significant volatility spillover effect between Chinese and foreign markets indicates that there are channels of information and risk transmission within the gold market, but the dynamic correlation between the markets does not determine the direction of risk transmission. Under general market conditions, external shocks have not significantly changed the linkage relationship between China and the major global gold markets, indicating that the price linkage within the gold market has a strong stability. However, it is worth noting that in extreme market conditions, external factors will have a significant asymmetric impact on the linkage between Chinese and foreign gold markets. These conclusions clarify the basic relationship between markets and provide useful theoretical reference for cross-market cooperation. At the same time, the different linkage mechanisms between spot and futures markets provide a clearer market model for market participants. Investors can use relevant conclusions to hedge and invest effectively. This paper makes three main contributions. First, it addresses the deficiencies of the research on the internal linkage of the gold market. Most of the literature focuses on the linkage between the gold market and other financial markets, but few studies have focused on the gold market and classified it according to futures and spot markets. This paper makes a comprehensive theoretical and empirical study of the internal correlation of the gold market. Second, this paper tests the stable price relationship between Chinese and foreign gold market from the perspective of external shocks, to explain why the market function of gold can be effectively played; this is a perspective different from that of previous studies. When external factors interfere with gold prices, such shocks do not significantly affect the correlation between gold markets, so investors can still use the global gold market for effective hedging without unduly worrying about the internal risks of the gold market. Finally, this paper chooses a sample of the futures and spot contracts of eight major global gold markets in the post-financial crisis era. The sample interval covers a variety of market conditions, and the conclusions are subjected to a series of robustness tests to make them more comprehensive and reliable.
王聪, 焦瑾璞. 国内外黄金市场价格间的联动关系稳定吗？——基于外部冲击视角的分析[J]. 金融研究, 2019, 473(11): 75-93.
WANG Cong, JIAO Jinpu. Is the Price Linkage between Chinese and Foreign Gold Markets Stable？ Analysis Based on External Shocks. Journal of Financial Research, 2019, 473(11): 75-93.
[1]安辉、秦伟广和谷宇,2016,《美国量化宽松货币政策对黄金价格的影响研究——基于政策宣告时点和政策实施区间的经验分析》,《国际金融研究》第11期,第87～96页。 [2]陈炳才,2003,《黄金是否仍然具有储备、投资价值》,《金融研究》第7期,第50～58页。 [3]郭彦峰和肖倬,2009,《中美黄金市场的价格发现和动态条件相关性研究》,《国际金融研究》第11期,第75～83页。 [4]胡聪慧和刘学良,2017,《大宗商品与股票市场联动性研究:基于融资流动性的视角》,《金融研究》第7期,第123～139页。 [5]焦瑾璞,2016,《中国黄金市场的国际化发展》,《中国金融》第9期,第36～38页。 [6]金蕾和年四伍,2011,《国际黄金价格和美元汇率走势研究》,《国际金融研究》第5期,第81～86页。 [7]李广众、杨子晖和杨铠维,2014,《汇率波动性与股市收益率联动性——来自国际样本的经验证据》,《金融研究》第7期,第16～31页。 [8]李红霞、傅强和袁晨,2012,《中国黄金期货与现货市场的相关性及其套期保值研究》,《财贸研究》第3期,第85～92页。 [9]刘炳越、姬强和范英,2018,《黄金是否为原油的“避险天堂”？——基于组合收益及其波动视角》,《中国管理科学》第11期,第1～10页。 [10]刘飞、吴卫锋和王开科,2013,《我国黄金期货市场定价效率与价格发现功能测算——基于5分钟高频数据的实证研究》,《国际金融研究》第4期,第74～82页。 [11]马丹、刘丽萍和陈坤,2016,《关联效应还是传染效应》,《统计研究》第2期,第99～106页。 [12]潘婉彬和熊欣慰,2017,《金融危机期间黄金价格与汇率的联动性》,《中国科学技术大学学报》第9期,第778～787页。 [13]王聪和刘晨,2017,《国际间黄金期货市场价格联动关系研究——基于中国和美国、日本黄金期货市场传导影响的分析》,《价格理论与实践》第11期,第134～137页。 [14]徐荟竹、曹媛媛和杜海均,2013,《货币国际化进程中黄金的作用》,《金融研究》第8期,第98～108页。 [15]杨飞,2014,《次贷危机和欧债危机对新兴市场的传染效应研究——基于DCC－MVGARCH模型的检验》,《国际金融研究》第6期,第40～49页。 [16]杨军战,2014,《我国黄金期货与现货价格互动影响实证研究》,《上海经济研究》第1期,第83～89页。 [17]尹力博和柳依依,2015,《黄金是稳定的避险资产吗？——基于宏观经济不确定性的视角》,《国际金融研究》第7期,第87～96页。 [18]杨子晖和周颖刚,2018,《全球系统性金融风险溢出与外部冲击》,《中国社会科学》第12期,第69～90页。 [19]张兵、范致镇和李心丹,2010,《中美股票市场的联动性研究》,《经济研究》第11期,第141～151页。 [20]张程和范立夫,2017,《大宗商品价格影响与货币政策权衡——基于石油的金融属性视角》,《金融研究》第3期,第72～85页。 [21]曾裕峰,温湖炜和陈学彬,2017,《股市互联、尾部风险传染与系统重要性市场——基于多元分位数回归模型的分析》,《国际金融研究》第9期,第86～96页。 [22]祝合良和许贵阳,2010,《中国黄金期货市场价格发现功能实证研究》,《首都经济贸易大学学报》第5期,第44～52页。 [23]Adler, M. and B. Dumas. 1983. “International Portfolio Choice and Corporation Finance-a Synthesis”, Journal of Finance, 38(3):925～84. [24]Baur, D. G. and T. K. McDermott. 2010. “Is Gold a Safe Haven？ International Evidence”, Journal of Banking & Finance, 34(8):1886～98. [25]Beckmann, J., R. Czudaj, and K. Pilbeam. 2015. “Causality and Volatility Patterns between Gold Prices and Exchange Rates”, North American Journal of Economics and Finance, 34:292～300. [26]Belasen, A. R. and R. Demirer. 2019. “Commodity-Currencies or Currency-Commodities: Evidence from Causality Tests”, Resources Policy, 60:162～68. [27]Canjels, E., G. Prakash-Canjels, and A. M. Taylor. 2004. “Measuring Market Integration: Foreign Exchange Arbitrage and the Gold Standard, 1879-1913”, Review of Economics and Statistics, 86(4):868～82. [28]Chang, C. L., J. C. D. Chang, and Y. W. Huang. 2013. “Dynamic Price Integration in the Global Gold Market”, North American Journal of Economics and Finance, 26:227～35. [29]Chen, K. and M. Wang. 2019. “Is Gold a Hedge and Safe Haven for Stock Market？”, Applied Economics Letters, 26(13):1080～86. [30]Chen, R. D. and J. J. Xu. 2019. “Forecasting Volatility and Correlation between Oil and Gold Prices Using a Novel Multivariate Gas Model”, Energy Economics, 78:379～91. [31]Connolly, Robert A. and F. Albert Wang. 1999. “International Equity Market Comovements: Economic Fundamentals or Contagion？”, Pacific-Basin Finance Journal, 11(1):23～43. [32]Das, D., M. Kannadhasan, K. H. Al-Yahyaee, and S. M. Yoon. 2018. “A Wavelet Analysis of Co-Movements in Asian Gold Markets”, Physica a-Statistical Mechanics and Its Applications, 492:192～206. [33]Engle, R. and R. Colacito. 2006. “Testing and Valuing Dynamic Correlations for Asset Allocation”, Journal of Business & Economic Statistics, 24(2):238～53. [34]Engle, R. F. and K. F. Kroner. 1995. “Multivariate Simultaneous Generalized Arch”, Econometric Theory, 11(1):122～50. [35]Fama, E. F. 1970. “Efficient Capital Markets-Review of Theory and Empirical Work”, Journal of Finance, 25(2):383～423. [36]Gurgun, G. and I. Unalmis. 2014. “Is Gold a Safe Haven against Equity Market Investment in Emerging and Developing Countries？”, Finance Research Letters, 11(4):341～48. [37]Iqbal, J. 2017. “Does Gold Hedge Stock Market, Inflation and Exchange Rate Risks？ An Econometric Investigation”, International Review of Economics & Finance, 48:1～17. [38]Jena, S. K., A. K. Tiwari, S. Hammoudeh, and D. Roubaud. 2019a. “Distributional Predictability between Commodity Spot and Futures: Evidence from Nonparametric Causality-in-Quantiles Tests”, Energy Economics, 78:615～28. [39]Jena, S. K., A. K. Tiwari, and D. Roubaud. 2018b. “Comovements of Gold Futures Markets and the Spot Market: A Wavelet Analysis”, Finance Research Letters, 24:19～24. [40]Kocaarslan, B., R. Sari, A. Gormus, and U. Soytas. 2017. “Dynamic Correlations between Bric and U.S. Stock Markets: The Asymmetric Impact of Volatility Expectations in Oil, Gold and Financial Markets”, Journal of Commodity Markets, 7:41～56. [41]Lau, M. C. K., S. A. Vigne, S. X. Wang, and L. Yarovaya. 2017. “Return Spillovers between White Precious Metal Etfs: The Role of Oil, Gold, and Global Equity”, International Review of Financial Analysis, 52:316～32. [42]Lin, M., G. J. Wang, C. Xie, and H. E. Stanley. 2018. “Cross-Correlations and Influence in World Gold Markets”, Physica a-Statistical Mechanics and Its Applications, 490:504～12. [43]Mo, N., H. Nie, and Y. H. Jiang. 2018. “Dynamic Linkages among the Gold Market, Us Dollar and Crude Oil Market”, Physica a-Statistical Mechanics and Its Applications, 491:984～94. [44]Oztek, M. F. and N. Ocal. 2017. “Financial Crises and the Nature of Correlation between Commodity and Stock Markets”, International Review of Economics & Finance, 48:56～68. [45]Qureshi, S., I. U. Rehman, and F. Qureshi. 2018. “Does Gold Act as a Safe Haven against Exchange Rate Fluctuations？ The Case of Pakistan Rupee”, Journal of Policy Modeling, 40(4):685～708. [46]Reboredo, J. C. 2013. “Is Gold a Safe Haven or a Hedge for the Us Dollar？ Implications for Risk Management”, Journal of Banking & Finance, 37(8):2665～76. [47]Ruan, Q. S., Y. Huang, and W. Jiang. 2016a. “The Exceedance and Cross-Correlations between the Gold Spot and Futures Markets”, Physica a-Statistical Mechanics and Its Applications, 463:139～51. [48]Schweikert, K. 2018. “Are Gold and Silver Cointegrated？ New Evidence from Quantile Cointegrating Regressions”, Journal of Banking & Finance, 88:44～51. [49]Spiller, P. T. and R. O. Wood. 1988. “Arbitrage During the Dollar-Sterling Gold Standard, 1899-1908-an Econometric-Approach”, Journal of Political Economy, 96(4):882～92. [50]Wang, X. Y., H. F. Liu, S. P. Huang, and B. Lucey. 2019. “Identifying the Multiscale Financial Contagion in Precious Metal Markets”, International Review of Financial Analysis, 63:209～19. [51]Yurdakul, F. and M. Sefa. 2015. “An Econometric Analysis of Gold Prices in Turkey”, 2nd Global Conference on Business, Economics, Management and Tourism, 23:77～85. [52]Zhou, Y. M., L. Y. Han, and L. B. Yin. 2018. “Is the Relationship between Gold and the Us Dollar Always Negative？ The Role of Macroeconomic Uncertainty”, Applied Economics, 50(4):354～70.
