Analysis on Asymmetrical Fluctuation of Stock Returns on Historical Information in China

Haiyan Zhang, Xiaogang Dong
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Abstract

This paper tests the existence of asymmetrical volatility clustering in Chinese emerging stock market and it is found that when innovation is negative, the fluctuation equation is significantly different from the model when innovation is positive. This paper discusses the volatility's asymmetrical reaction to autocorrelation of stock return and estimates the threshold value of ACF (autocorrelation function). Finally, it is proved by the empirical results that the difference of effect of innovation to fluctuation is significant between positive ACF that is more than some threshold value and negative ACF that is less than other threshold value.
基于历史信息的中国股票收益不对称波动分析
本文检验了中国新兴股票市场不对称波动聚类的存在性,发现当创新为负时,波动方程与创新为正时的模型显著不同。本文讨论了波动率对股票收益自相关的不对称反应,并估计了自相关函数的阈值。最后,通过实证结果证明,在大于某个阈值的正ACF和小于其他阈值的负ACF之间,创新对波动的影响差异显著。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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