Presentation 2012-01-26
Cluster analysis and Gaussian mixture estimation of correlated time-series by means of multi-dimensional scaling
Takero IBUKI, Sei SUZUKI, Jun-ichi INOUE,
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Abstract(in English) In this paper, we investigate cross-correlations between typical Japanese stocks collected through Yahoo!Japan website (http://finance.yahoo.co.jp/). By making use of multi-dimensional scaling (MDS) for the cross-correlation matrices, we draw two-dimensional scattered plots in which each point corresponds to each stock. To make a clustering for these data plots, we utilize the mixture of Gaussians to fit the data set to several Gaussian densities. By minimizing the so-called Akaike Information Criterion (AIC) with respect to parameters in the mixture, we attempt to specify the best possible mixture of Gaussians. It might be naturally assumed that all the two-dimensional Gaussians shrink into a single small region when some economic crisis takes place. The justification of this assumption is numerically checked for the empirical Japanese stock data, for instance, those around 11 March 2011.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Time series analysis / Cross-correlation function / Multi-dimensional scaling / Data visualization / Mixture of Gaussians / AIC / Simulated annealing / EM algorithm / Stock market analysis
Paper # NC2011-106
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Conference Information
Committee NC
Conference Date 2012/1/19(1days)
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Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Cluster analysis and Gaussian mixture estimation of correlated time-series by means of multi-dimensional scaling
Sub Title (in English)
Keyword(1) Time series analysis
Keyword(2) Cross-correlation function
Keyword(3) Multi-dimensional scaling
Keyword(4) Data visualization
Keyword(5) Mixture of Gaussians
Keyword(6) AIC
Keyword(7) Simulated annealing
Keyword(8) EM algorithm
Keyword(9) Stock market analysis
1st Author's Name Takero IBUKI
1st Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University()
2nd Author's Name Sei SUZUKI
2nd Author's Affiliation Aoyama-Gakuin University
3rd Author's Name Jun-ichi INOUE
3rd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
Date 2012-01-26
Paper # NC2011-106
Volume (vol) vol.111
Number (no) 419
Page pp.pp.-
#Pages 6
Date of Issue