【摘 要】
:
基于门槛效应视角,结合MAT-HAR模型能够捕捉门槛效应的特点与Realized GARCH模型在高频波动率预测的优势,文章建立了Realized MAT-HAR GARCH模型,旨在研究高频金融市场的门槛效应.与Realized HAR GARCH模型不同的是,该模型在波动方程中引入MAT-HAR结构,将已实现波动率序列的移动平均项作为门槛,并基于AIC信息准则选取最优的波动方程结构.数值模拟结果显示,Realized MAT-HAR GARCH模型有着较好的参数估计和波动预测效果.基于沪深300指数的
【机 构】
:
浙江工商大学统计与数学学院,杭州310018
论文部分内容阅读
基于门槛效应视角,结合MAT-HAR模型能够捕捉门槛效应的特点与Realized GARCH模型在高频波动率预测的优势,文章建立了Realized MAT-HAR GARCH模型,旨在研究高频金融市场的门槛效应.与Realized HAR GARCH模型不同的是,该模型在波动方程中引入MAT-HAR结构,将已实现波动率序列的移动平均项作为门槛,并基于AIC信息准则选取最优的波动方程结构.数值模拟结果显示,Realized MAT-HAR GARCH模型有着较好的参数估计和波动预测效果.基于沪深300指数的实证研究表明,在残差服从正态分布的假设下,沪深300指数的周和月波动信息存在显著的门槛效应,且基于AIC准则的Realized MAT-HAR GARCH模型比Realized HAR GARCH模型有着更好的样本内拟合、波动预测和VaR度量效果.最后,在不同误差分布假设下,研究该模型基于AIC信息准则选取模型结构的合理性和波动预测的稳健性.基于MCS检验的稳健性检验结果表明,在不同厚尾分布的假设下,Realized MAT-HAR GARCH模型的样本外表现效果均优于Realized HAR GARCH模型,其效果不依赖于滚动预测窗口长度的选取.
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