基于DCC-GARCH模型的中美股市报酬实证研究
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An Empirical Study on China and US Market Returns Based on DCC-GARCH Model
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    摘要:

    运用DCC-GARCH模型探讨中美股市的波动影响效果,以美国道琼斯工业指数和中国上证综合指数为实证对象,研究期间为2009-01-01—2016-06-13,选取两国共同交易日的股价指数,共1 708笔日报酬资料。实证结果显示:中国股市受前一期股价报酬为负向统计显著效果,受美国股市前一期股价报酬为正向统计显著效果;中美股市存在长期均衡关系。

    Abstract:

    With Dow Jones industrial index in US and China Shanghai composite index in China as the empirical target, an analysis has been made of the fluctuation effects in Chinese and US stock markets by using DCC-GARCH model. With its research period ranging from January 1, 2009 to June 13, 2016, the stock price index of the two countries on the common trading day has been selected, thus obtaining a total of 1 708 daily remuneration data. The empirical results show that: China’s stock market is negatively affected by the stock price returns significantly at the previous stage, while the US stock market is positively affected by the previous stock price returns; there is a long-term equilibrium relationship between China's stock market and the US stock market.

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孙永春.基于DCC-GARCH模型的中美股市报酬实证研究[J].湖南工业大学学报,2019,33(2):67-74.

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  • 在线发布日期: 2019-05-01
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