基于跳跃和符号跳跃变差的HAR-RV预测模型及其MCS检验

被引：18

作者：

马锋

魏宇

黄登仕

张鹏云

机构：

[1] 西南交通大学经济管理学院

来源：

系统管理学报 | 2015年 / 24卷 / 05期

关键词：

跳跃检验; 跳跃符号变差; 模型信度设定(MCS)检验;

D O I：

暂无

中图分类号：

F832.51 []; F224 [经济数学方法];

学科分类号：

1201 ; 020204 ; 0701 ; 070104 ;

摘要：

以沪深300指数的高频数据为例,运用滚动时间窗的样本外预测方法以及比SPA检验更具优势的模型信度设定检验(MCS),实证分析了跳跃、符号跳跃变差及符号正负向跳跃变差对HAR-RV、HAR-RV-J、HAR-RV-CJ和HAR-RV-TCJ等4种基础波动率模型预测能力的影响。研究发现:符号跳跃变差不仅可以提高各波动率模型的拟合精度,而且还可以提高模型的预测精度;符号正向和负向跳跃变差相比符号跳跃变差对未来波动率具有更好的解释能力,且它们对未来波动率的影响是不对称的;加入符号正、负向跳跃变差的HARRV-TCJ模型的预测效果是众多模型中表现最好的,尤其是它的对数形式。

引用

页码：700 / 710

页数：11

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