Non-trading day effects in asymmetric conditional and stochastic volatility models

被引:2
作者
Asai, Manabu
McAleer, Michael
机构
[1] Soka Univ, Fac Econ, Hachioji, Tokyo 1928577, Japan
[2] Univ Western Australia, Sch Econ & Commerce, Nedlands, WA 6009, Australia
关键词
symmetric and asymmetric conditional volatility; exponential conditional volatility; stochastic volatility; non-trading day; non-nested; Monte Carlo likelihood;
D O I
10.1111/j.1368-423X.2007.00201.x
中图分类号
F [经济];
学科分类号
02 ;
摘要
It is well known that non-trading days (or holidays) can have significant effects on the returns in financial series. In this paper, we analyze three models of non-trading day effects in stochastic volatility models with leverage effects, namely (i) the approach based on the dummy variable in conditional volatility models; (ii) the approach based on a discrete time approximation of a continuous time stochastic volatility model and (iii) the twin non-trading day stochastic volatility model which nests the above two models. The three models are also estimated and tested within the asymmetric and exponential conditional volatility frameworks. All the models within the stochastic, asymmetric conditional and exponential conditional volatility frameworks are estimated and compared using a selection of financial returns series.
引用
收藏
页码:113 / 123
页数:11
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