摘要
随着计算机的不断发展、金融市场逐步对外开放、我国不断提高对科技创新的投入,人工智能和大数据分析等技术开始运用在我国股票债券市场、期货及其衍生品市场等各金融行业中。文章通过计算机编程语言对我国A股市场进行可视化呈现并对新冠疫情前后的股市偏度、峰度进行了检验,结果得出疫情后短时间内的个股及指数的偏度、峰度都发生了较大的变化,受疫情恐慌情绪影响,负偏度增加。大数据的可视化极大提高了股市分析的效率。
With the continuous development of computers,the gradual opening of the financial market,and the continuous increase in investment in scientific and technological innovation in China,artificial intelligence and big data analysis and other technologies have begun to be used in various financial industries such as China’s stock and bond market,futures and derivatives market.This paper visualizes China’s A-share market through computer programming language and tests the skewness of the stock market before and after the new crown epidemic,and the results show that the skewness of individual stocks and indices has undergone great changes in a short period of time after the epidemic,and the negative skewness has increased due to the impact of epidemic panic.The visualization of big data greatly improves the efficiency of stock market analysis.
作者
戴政炀
李程
DAI Zhengyang;LI Cheng
出处
《吉林金融研究》
2022年第10期56-61,共6页
Journal of Jilin Financial Research
关键词
大数据分析
A股市场
偏度
峰度
数据可视化
big data analysis
A-share market
skewness
kurtosis
data visualization