期刊文献+

基于EGARCH-GED模型的中英铜期货风险溢出效应 被引量:8

Effects of Copper Futures' Risk Spillover Based on EGARCH-GED between SHFE and LME
下载PDF
导出
摘要 使用GED分布的EGARCH模型对上海金属期货交易所与伦敦金属交易所铜期货多空市场的风险价值进行了测算,并据此利用Granger因果检验和脉冲响应函数检验了两市风险溢出效应。实证结果表明,在子样本1内95%和90%置信度下,两市期铜市场风险互为Granger原因;子样本1内99%置信度下、子样本2内3种置信度下以及总样本3种置信度下,伦敦金属交易所期铜市场风险是上海金属期货交易所期铜市场风险的Granger原因,但上海金属期货交易所期铜市场风险不是伦敦金属交易所期铜市场风险的Granger原因;面对一个标准新息冲击时,伦敦金属交易所对风险冲击有一个反复纠偏的过程,上海金属期货交易所则没有,从一定程度上说明了样本区间内国内经济形势好于国外。 This paper calculates the VaR of copper futures' market in SHFE and LME by using the EGARCH-GED model and then checks the spillover effects with Granger causality test and impulse re- sponse function.The empirical result shows that these two markets' risks are Granger causality for one another in sub-sample one under the confidence level of 95% and 90%,while only LME copper futures' market risk is the Granger causality of SHFE one in sub-sample one's 99 % confidence and in sub-sample two's and total samples are the all three confidence level.Meanwhile, LME has an interactive response but SHFE has not when facing a standard innovation, which indicates that domestic economic situation is better than that in foreign countries.
出处 《华中农业大学学报(社会科学版)》 CSSCI 2015年第6期92-100,共9页 Journal of Huazhong Agricultural University(Social Sciences Edition)
基金 国家社会科学基金一般项目"基于金融性资产的我国收入差距代际传递差异性研究"(11BJY033) 国家社会科学基金青年项目"金融功能视角下的转型期利益分享机制研究"(12CJY022) 浙江省高校产业发展与财政金融政策研究创新团队孵化项目(CCJFH104)
关键词 风险溢出 风险价值 铜期货 EGARCH-GED模型 脉冲响应函数 risk spillover Value at Risk(VaR) copper futures EGARCH-GED model impulse response function
  • 相关文献

参考文献20

  • 1GARBADE K D, SILBER W L.Price movements and price dis- covery in futures and cash markets [J].Review of Economics and Statistics, 1983(65) : 289-297.
  • 2徐剑刚.期货报酬时间序列统计特性[J].统计研究,1997,14(3):70-72. 被引量:22
  • 3何诚颖,张龙斌,陈薇.基于高频数据的沪深300指数期货价格发现能力研究[J].数量经济技术经济研究,2011,28(5):139-151. 被引量:77
  • 4赵进文.我国期货市场与国际期货市场关联度分析与协整检验[J].中国软科学,2004(5):34-40. 被引量:35
  • 5HONG Y M.Granger caulity in risk and detection of risk trans- mission between financial marketsER .Working paper, Department of economics and department of statistical science,CorneU Universi- ty, 2001.
  • 6HONG Y M.Detecting extreme risk spillover between financial markets[-R.Working Paper of Cornell University,2003.
  • 7KORKIE B, SIVAKUMAR R, TURTLE H J. Variance spillo- ver and skewness in financial asset returns [J]. The Financial Review, 2006,41(1) : 139-156.
  • 8HASHMI A R,TAY A S.Global regional sources of risk in eq- uity markets: evidence from factor models with time-varying conditional skewness[J].Journal of International Money and Finance,g007,26(3) :430 453.
  • 9HARMO Y, MASULIS R W, Ng V.Correlations in price chan- ges and volatility across international stock markets [J]. Re view of Financial Studies, 1990(3) : 98-1t2.
  • 10SADORSKY P.Times-varying risk premiums in petroleum fu- tures prices[-J].Energy Economics, 2002(24) : 539-556.

二级参考文献148

共引文献307

同被引文献111

二级引证文献30

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