【24h】

Time Series Analysis in Security Analysis

机译:安全分析中的时间序列分析

获取原文

摘要

This paper introduces the definition of time series analysis and its characteristics. Have developed in recent years, time series analysis is quantitative forecasting method, which is particularly applicable to economic time series. The AKIMA model and the MATLAB software are used to research the time series of stock market in China. Time series analysis is fully demonstrated in the analysis of the performance of stock market Volatility of securities markets has been the focus of academic research. China's securities market is still relatively young, so unusual fluctuations in the stock market appeared one after another, and even the rough conditions is not surprising. It is not terrible that there are always the bull and bear markets. The spike is frightening. Volatility in the stock market not only occurs in China. However, it is certainly a unique that the volatility in the domestic stock market is very high. The Yijingsaid: The yin and yang are of that Road. If yin and yang are regarded as conflicts, Tao is to resolve the conflict. Tao is the principles and laws of the universe. Therefore, it is of great significance for government regulators, academics and investors to grasp the laws of stock market volatility.
机译:本文介绍了时间序列分析的定义及其特点。近年来发展起来的时间序列分析是一种定量的预测方法,特别适用于经济时间序列。 AKIMA模型和MATLAB软件用于研究中国股市的时间序列。时间序列分析在股票市场表现分析中得到充分证明。证券市场的波动性一直是学术研究的重点。中国的证券市场还比较年轻,因此股票市场异常的波动接连出现,甚至严峻的条件也不足为奇。总是存在牛市和熊市并不可怕。峰值令人恐惧。股票市场的波动不仅发生在中国。但是,国内股票市场的剧烈波动无疑是一个独特的现象。义经说:阴阳就是那条路。如果将阴阳视为冲突,则道就是解决冲突。道是宇宙的原理和定律。因此,掌握股票市场波动规律对政府监管者,学者和投资者具有重要意义。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号