DocumentCode
3514868
Title
The Effect Mechanism of El Niño Southern Oscillation on Wheat Futures: Based on EMD and SSVS Algorithm
Author
Yingjun, Lou ; Lijie, Zhu ; Lina, Lu
Author_Institution
Sch. of Finance, Zhejiang Gongshang Univ., Hangzhou, China
fYear
2010
fDate
28-29 Oct. 2010
Firstpage
55
Lastpage
59
Abstract
At present, most of the studies on the relationship between El Nino Southern Oscillation and agricultural futures focus on perceptual and directly data analysis. This article uses EMD algorithm on endpoints processed data to decompose wheat futures price into seven Intrinsic Mode Function and one Residue. Then do symbolic clustering combined with SSVS method and denoised ENSO index. The results not only clearly show the negative relationship between ENSO index and wheat futures price, but also identified the specific impact path of the negative correlation, that is through IMF4 and IMF5. This method to find specific impact mechanism also provides a more rigorous idea to do certain research.
Keywords
El Nino Southern Oscillation; agricultural engineering; agricultural products; data analysis; pattern clustering; statistical analysis; EMD algorithm; ENSO index; El Nino southern oscillation; IMF4; IMF5; SSVS algorithm; agricultural future; data analysis; empirical mode decomposition; intrinsic mode function; negative correlation; residue function; symbolic clustering; symbolic statistical vector space model; wheat future price; Correlation; Euclidean distance; Fitting; Indexes; Noise; Noise reduction; Time series analysis; EMD algorithm; ENSO; SSVS; Wheat futures;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligence Information Processing and Trusted Computing (IPTC), 2010 International Symposium on
Conference_Location
Huanggang
Print_ISBN
978-1-4244-8148-4
Electronic_ISBN
978-0-7695-4196-9
Type
conf
DOI
10.1109/IPTC.2010.135
Filename
5663150
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