期刊文献+

沪深300期现货市场动态波动关系研究:基于VECM-GJR-DCC-MGARCH-t模型的视角 被引量:8

Dynamic Volatility Relationship between the CSI300 Futures and the Spot Market:Perspective from the VECM-GJR-DCC-MGARCH-t Model
下载PDF
导出
摘要 在VECM-DCC-MGARCH模型基础上,以GJR形式考虑变量非对称作用、用t分布来描述股市数据的非正态分布特征,构建了VECM-GJR-DCC-MGARCH-t模型,并实证分析推出沪深300股指期货至今,沪深300期现货市场的动态波动关系。结果表明:沪深300期现货市场波动之间整体有较高关联性,但相关程度变化不定,在行情上涨时期两者关系大幅减弱;同时,现货市场波动对不利冲击的反应更敏感;现货市场过去意外冲击和过去波动都会抑制期货市场波动,而期货市场过去意外冲击和过去波动则会加剧现货市场波动。 Based on the VECM-DCC-MGARCH model,considering asymmetric effect through GJR form and using t-distribution to describe abnormal distribution characteristics,we proposes an improved VECMGJR-DCC-MGARCH-t model,and empirically analyses dynamic volatility relationship between the CSI300 futures and the spot market since establishment of CSI300 index futures.The results show that there exists a high correlation between CSI300 futures and spot market volatility as a whole,but the correlation varies.In particular when the market quotation goes up,their correlation significantly reduces.Furthermen,the spot market's reactions to negative influence is more sensitive.Finally,past unexpected volatilities and past volatilities in the spot maket weaken the fluctuations of futures,though past unexpected fluctuations and past fluctuations in the futures strengthen the spot market volatilities.
出处 《系统管理学报》 CSSCI 北大核心 2015年第2期209-214,共6页 Journal of Systems & Management
基金 国家自然科学基金面上项目(71373219) 国家自然科学基金青年项目(71103150) 全国统计科学研究计划项目(2012LY045) 中央高校基本科研业务费项目(2013221012) 江苏高校优势学科建设工程资助项目(PAPD) 江苏省普通高校研究生科研创新计划项目(CXLX12_0596)
关键词 沪深300指数 沪深300期货指数 DCC-MGARCH模型 ECM-GJR-DCC-MGARCH-t模型 the CSI300index the CSI300index futures DCC-MGARCH model VECM-GJR-DCC-MGARCH-t model
  • 相关文献

参考文献17

二级参考文献93

共引文献221

同被引文献55

  • 1王群勇,张晓峒.我国在NYSE上市公司的价格发现机制——基于永久短暂模型的实证分析[J].经济问题探索,2005(6):80-84. 被引量:13
  • 2刘庆富,张金清.我国农产品期货市场的价格发现功能研究[J].产业经济研究,2006(1):11-18. 被引量:55
  • 3肖辉,鲍建平,吴冲锋.股指与股指期货价格发现过程研究[J].系统工程学报,2006,21(4):438-441. 被引量:76
  • 4Chan K,Chan K C,Karolyi A G.Intraday Volatility in the Stock Index and Stock Index Future Markets[J].Review of Financial Studies,1991,4(4):657-684.
  • 5Antonios A,Phil H.Futures Trading,Information and Spot Price Volatility:Evidence for the FTSE-100Stock Index Futures Contract Using GARCH[J].Journal of Banking and Finance,1995,19(1):117-129.
  • 6Tse Y.Price Discovery and Volatility Spillovers in the DJIA Index and the Futures Market[J].Journal of Futures Markets,1999,19(8):911-930.
  • 7Zhong M,Darrat A F,Otero R.Price Discovery and Volatility Spillovers in Index Future Market:Some Evidence from Mexico[J].Journal of Banking and Finance,2004,28(12):3037-3054.
  • 8Kavussanos M G,Visvikis I D,and Alexakis P D.The Lead-Lag Relationship Between Cash and Stock Index Futures in a New Market[J].European Financial Management,2008,14(5):1007-1025.
  • 9Huang N E,Shen Z,Long S R,et al.The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-stationary Time Series Analysis[J].Proceedings of the Royal Society A.Mathematical.Physical and Engineering Sciences,1998,454(1971):903-995.
  • 10Wu Z H,Huang N E.A Study of Characteristics of White Noise Using the Empirical Model Decomposition Method[J].Proceedings of the Royal Society of London,2004,460(2046):1597-1611.

引证文献8

二级引证文献11

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部