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基于经验模态分解的上证综合指数时间序列分析
引用本文:蔡赟姝,卢志明.基于经验模态分解的上证综合指数时间序列分析[J].上海大学学报(自然科学版),2012(4):384-389,440.
作者姓名:蔡赟姝  卢志明
作者单位:上海大学上海市应用数学和力学研究所
基金项目:上海大学创新基金资助项目(SHUCX112358)
摘    要:采用经验模态分解(empirical mode decomposition,EMD)方法对上证综合指数(Shanghai composite index,SCI)进行研究,将其分解为多个内模函数(intrinsic mode functions,IMFs)和剩余项之和.通过对各阶内模函数进行基本统计分析和分布拟合,发现其"尖峰厚尾"的特点基本服从自由度为3的t分布.通过对各阶内模函数进行周期性分析,揭示各阶模态间不同的波动信息,并得到周、月、半年等时间尺度股指的波动特点,以及典型上涨和下跌时段的波动周期和波动特点.

关 键 词:经验模态分解  内模函数  金融时间序列

Analysis of Shanghai Composite Index Time Series Based on Empirical Mode Decomposition
CAI Yun-shu,LU Zhi-ming.Analysis of Shanghai Composite Index Time Series Based on Empirical Mode Decomposition[J].Journal of Shanghai University(Natural Science),2012(4):384-389,440.
Authors:CAI Yun-shu  LU Zhi-ming
Institution:(Shanghai Institute of Applied Mathematics and Mechanics,Shanghai University,Shanghai 200072,China)
Abstract:Shanghai composite index(SCI) is decomposed into a series of intrinsic mode functions(IMFs) and a residual using the empirical mode decomposition(EMD) method.Fluctuation properties of each IMF are obtained.A basic statistic analysis and fitting on the distribution of the IMFs reveal that the "leptokurtosis,fat-tailed" characteristics of IMFs obey t-distribution with a degree of freedom 3.Fluctuation cycles and characteristics on widely concerned time scales,such as week,month,half year,etc.,are obtained.Particularly,fluctuation properties of typical rising and dropping periods are analyzed.
Keywords:empirical mode decomposition(EMD)  intrinsic mode function(IMF)  financial time series
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