The asymmetric high-frequency volatility transmission across international stock markets

被引:21
|
作者
Luo, Jiawen [1 ]
Wang, Shengquan [2 ]
机构
[1] South China Univ Technol, Sch Business Adm, Guangzhou 510641, Guangdong, Peoples R China
[2] Sun Yat Sen Univ, Int Sch Business & Finance, Zhuhai 519082, Peoples R China
基金
中国国家自然科学基金;
关键词
Stock markets; MHAR-DCC model; Asymmetric volatility; High-frequency data; CONNECTEDNESS; US;
D O I
10.1016/j.frl.2019.04.025
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
We construct a MHAR-DCC model to investigate the high-frequency volatility transmission across international stock markets. We use the overnight volatility estimator to eliminate the effects of non-synchronous trading problem. We analyze the asymmetric volatility transmission effects across the international stock markets. The empirical results suggest that the periods when the total spillover index increases to high levels correspond to the periods when the market volatility is high. The volatility transmission effect in the US and Singapore stock markets exhibit the normal leverage effect, while the volatility transmissions of Japanese and Hong Kong stock markets exhibit the reverse leverage effect.
引用
收藏
页码:104 / 109
页数:6
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