Features Extraction and Reconstruction of Country Risk based on Empirical EMD

被引:1
|
作者
Yao, Xiaoyang [1 ,2 ]
Sun, Xiaolei [1 ]
Yang, Yuying [1 ,2 ]
Wu, Dengsheng [1 ]
Liang, Xun [3 ]
机构
[1] Chinese Acad Sci, Inst Policy & Management, Beijing 100190, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100039, Peoples R China
[3] Renmin Univ China, Sch Informat, Beijing 100872, Peoples R China
关键词
EEMD; reconstruction; fine-to-coarse; correlation; Hilbert-Huang tranform; Hilbert marginal spectrums; CRUDE-OIL PRICE; MODE DECOMPOSITION; SPECTRUM;
D O I
10.1016/j.procs.2014.05.268
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In the application of the Empirical Mode Decomposition (EMD), reconstruction to the intrinsic mode functions (IMFs) which are obtained by EMD is necessary in order to simplify analysis and make reconstruction results of more economic explanatory power. At present, there are two main reconstruction methods; one is based on the changing of data construction, represented by the fine-to-coarse method, the other one takes the correlation of the IMFs into consideration, for example, calculating the correlation between the marginal spectrums of different IMFs. In order to study the internal unity and differences between the two methods, country risk data of the BRICS countries are selected to make the empirical analysis. The results are as follows. Firstly, it is not reasonable that the residue obtained by the EMD is directly regarded as the trend of the original data. Secondly, by fine-to-coarse, all the IMFs can be reconstructed to three time scales, which are denoted as high-frequency mode, low-frequency mode and trend respectively, but explanation of these scales for the real situation is not satisfactory. At last, trend which is extracted based on the correlation of the IMF marginal spectrums can describe the basic behavior of the original data. Contrasted to fine-to-coarse, the results obtained by the second method are more reasonable. (C) 2014 Published by Elsevier B.V.
引用
收藏
页码:265 / 272
页数:8
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