摘要
利用F atta il GARCH V aR模型在不同分布的假设下建模上证综指收益时间序列,并与常用的正态分布下GARCH V aR模型进行比较,结果表明:广义误差分布及Skew ed t分布下的GARCH V aR模型适合建模上证综指收益时间序列。
In this paper, I model Shanghai composite indices by the use of GARCH_VaR model based on different distribution;furthermore,an comparative analysis is performed among different GARCH_VaR model based on 4 type distribution,the results show that the GARCH VaR model based on GED or Skewed t distributing is better for shanghai composite indices.
出处
《系统工程》
CSCD
北大核心
2005年第11期29-33,共5页
Systems Engineering
基金
高校博士点专项科研基金资助项目(20040542006)