ROLE OF MEAN IN THE MULTIFRACTAL ANALYSIS OF FINANCIAL TIME SERIES

被引:0
|
作者
Yang, Yujun [1 ,2 ,3 ]
Yang, Yimei [1 ]
Li, Jianping [2 ]
机构
[1] Huaihua Univ, Sch Comp Sci & Engn, Huaihua, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu, Sichuan, Peoples R China
[3] Hunan Prov Key Lab Ecol Agr Intelligent Control T, Huaihua, Peoples R China
来源
2017 14TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP) | 2017年
基金
中国国家自然科学基金;
关键词
Multiscale; MMA; Multifractal; Mean; Financial time series;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper introduces a multiscale multifractal method based on n-mean to analyze the multifractal and role of the nday mean of individual share exchange or stock composite index data. The method also allows us to discuss the role of the n-day mean of financial time series depending on their magnitude and the time scale using the generalized Hurst exponent and surfaces of Hurst exponent. In this paper, the proposed method focuses on the n-day mean of individual share exchange or stock composite index data, which lets us to apply the MMA method to analyze all financial time series. From the experimental results, we find that the experimental results provide important basic information for us to study financial time series. It is necessary to analyze the multifractal and role of the n-day mean of financial time series. The experimental results also provide important basic information for us to study financial time series.
引用
收藏
页码:74 / 78
页数:5
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