期刊文献+

我国股票市场与债券市场的溢出风险测度——来自上海证券市场的证据 被引量:2

The Studies on Spillover Risk Measure between Stock Market and Bond Market——Evidence from Shanghai Security Market in China
下载PDF
导出
摘要 笔者基于VAR-DCC-MGARCH模型研究了沪市股票指数与国债指数的波动相关性和溢出效应,估计了两个市场的VaR,并通过失败检验法进行了验证。结果表明,股票市场与国债市场的动态条件相关系数具有很强的时变特征,股票市场对国债市场存在显著的波动溢出效应。 Based on the VAR-DCC-MGARCH models, this paper estimates the VAR of two markets by analyzing the related volatility and spillover effect between Shanghai Stock Index and Shanghai Bond Index with validation test of probability of failures. The results show that: the dynamic conditional correlation coefficient between stock market and bond market shows highly time-varying characteristics. Stock market has significant volatility spillover effect on bond market. Given some probability of expected losses, it is also found that the ratio of risk to return for VaR of stock index return is higher than of bond index return, the risk return of stock index is higher than the risk return of bond index. Considering the VaR which excluded influence from the other market's volatility, two markets bears geater risks.
出处 《经济经纬》 CSSCI 北大核心 2012年第5期161-165,共5页 Economic Survey
关键词 股票指数 国债指数 VAR DCC-MGARCH 失败检验法 Stock Index Bond Index VAR DCC-MGARCH Model Testing of Failure
  • 相关文献

参考文献4

二级参考文献49

共引文献66

同被引文献24

  • 1柳会珍,顾岚.股票收益率分布的尾部行为研究[J].系统工程,2005,23(2):74-77. 被引量:12
  • 2谷耀,陆丽娜.沪、深、港股市信息溢出效应与动态相关性——基于DCC-(BV)EGARCH-VAR的检验[J].数量经济技术经济研究,2006,23(8):142-151. 被引量:121
  • 3柏满迎,孙禄杰.三种Copula-VaR计算方法与传统VaR方法的比较[J].数量经济技术经济研究,2007,24(2):154-160. 被引量:41
  • 4李成,马文涛,王彬.《我国金融市场间溢出效应研究--基于四元VARGARCH(1,1)BEKK模型的分析》,《数量经济与技术经济研究》2010年第6期.
  • 5Laurent S. , L. Bauwens, J. Rombouts,2006," Multivariate GARCH models:a smey" , Journal of Applied Econometrics,21 (1) , 79 109.
  • 6Lee Jim ,2006, "The comovement between output and plices :Evidence flora a dynamic conditional conelation GARCH model", Economics Lettels,91(1) ,110-11 6.
  • 7Jian Yang, Yinggang Zhou, Zijun Wang. 2009, "The stock bond conelation & macloeconomic conditions: One and a half centuries of evidence", Jomnal of Banking & Finance,33 (4) ,670 680.
  • 8R. Engle, 2002, "Dynamic Conditional C onelation: A Simple Class Of Multivariate GARCH models" ,Jomnal of Business and Economic Statistics,20(3) ,339 350.
  • 9Embrechts P, Mcneil A J, Straumann D, Correlation and dependence in risk management: Properties and pitfalls [M], Dempster M, Risk Management: Value at Risk and Be- yond 1, Cambridge University Press, 1999: ! 76-223.
  • 10Jen-Jsung Huang, Kuo-Jung Lee, Hueimei Liang,Wei-Fu Lin. Estimating value at risk of portfolio by condition- al copula-GARCH method [J].Journal of Mathematics and E conomies, 2009(3):315-324.

二级引证文献9

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