基于Markov状态转换的期货铜价格预测及风险控制模型
Price Forecasting and Risk Control Model of Copper Futures Based on Markov State Transition Model
DOI: 10.12677/SA.2016.52020, PDF, HTML, XML, 下载: 1,834  浏览: 4,419 
作者: 田永忠:云南铜业股份有限公司,云南 昆明
关键词: 铜期货Markov态变换模型复合似然函数Copper Futures Markov Transformation Model Composite Likelihood Function
摘要: 铜作为一种重要的有色金属,对其他有色金属的价格具有较强的影响力,因此期货铜市场的稳定发展不仅对现货铜市场具有重要作用,同时对其他有色金属市场的稳定,促进国民经济的又好又快发展,都具有重大意义。本文运用两状态的Markov状态变换模型对期货铜的收益率和大幅波动情况进行了预测,取得了良好的效果。
Abstract: Copper as a kind of important non-ferrous metals, has a strong influence on other non-ferrous metal prices, so the stable development of the copper futures market not only has an important role in spot copper market development, but also has great significance in other non-ferrous met-als market stability and promoting sound and rapid development of the national economy. In this paper, the two-state Markov state transformation model is used to predict the yield and volatility of copper futures with good results.
文章引用:田永忠. 基于Markov状态转换的期货铜价格预测及风险控制模型[J]. 统计学与应用, 2016, 5(2): 203-213. http://dx.doi.org/10.12677/SA.2016.52020

参考文献

[1] Hamilton, J.D. (1989) A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle. Economet-rica, 57, 357-384.
http://dx.doi.org/10.2307/1912559
[2] Cai, J. (1994) A Markov Model of Switching-Regime ARCH. Jour-nal of Business and Economic Statistics, 12, 309- 316.
[3] Hamilton, J.D. (1994) Analysis of Time Series Subject to Changes in Regime. Journal of Econometrics, 45, 39-70.
http://dx.doi.org/10.1016/0304-4076(90)90093-9
[4] 孙金丽, 等. 具有结构转换的GARCH模型及其在中国股市中的应用[J]. 系统工程, 2003, 21(6): 86-91.
[5] 朱钧钧, 谢识予. 中国股市波动率的双重不对称性及其解释[J]. 金融研究, 2011(3): 134-148.
[6] Zucchini, W. and MacDonald, I.L. (2009) Hidden Markov Models for Time Series: An Introduction Using R. CRC Press, New York.
http://dx.doi.org/10.1201/9781420010893
[7] Zou, W. and Chen, J.H. (2013) A Markov Regime-Switching Model for Crude-Oil Markets: Comparison of Composite Likelihood and Full Likelihood. The Canadian Journal of Statistics, 2, 353-367.
http://dx.doi.org/10.1002/cjs.11173
[8] Chen, J. and Wang, P. (2012) Composite Likelihood Approach for the Analysis of Exchange Rates. Working Paper.