Brexit and Its Impact on the US Stock Market

被引:0
作者
Kenan Qiao
Zhengyang Liu
Bai Huang
Yuying Sun
Shouyang Wang
机构
[1] Chinese Academy of Sciences,Academy of Mathematics and Systems Science
[2] Chinese Academy of Sciences,Center for Forecasting Science
[3] University of Chinese Academy of Sciences,School of Economics and Management
[4] Central University of Finance and Economics,School of Statistics and Mathematics
来源
Journal of Systems Science and Complexity | 2021年 / 34卷
关键词
Brexit; interval time series; intra-day volatility; S&P500 index;
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学科分类号
摘要
This paper firstly analyzes the Brexit’s impact on the US stock market using a novel interval methodology. The interval-valued dummy variables are proposed to measure the direction and magnitudes of the changes in the inter-day trend and the intra-day volatility of S&P500 returns simultaneously. It is found that both the trend and the volatility of S&P500 returns increased before the Brexit. Besides, the Brexit negatively affected S&P500 returns’ trend in the short term after the event, while its impact on market volatility was positive, which slowly decayed across time. Furthermore, a new interesting finding is that there are both short-term momentum effects (i.e., positive autocorrelation of trends) and volatility clustering in stock markets.
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页码:1044 / 1062
页数:18
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