NDLI: A Phylogenetic Analysis for Stock Market Indices Using Time-Series String Alignments

Content Provider	IEEE Xplore Digital Library
Author	Hyong-Jun Kim Chang-Keon Ryu Dong-Sung Ryu Hwan-Gue Cho
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Pusan Nat. Univ., Busan (Hyong-Jun Kim; Chang-Keon Ryu; Dong-Sung Ryu; Hwan-Gue Cho)
Abstract	Predicting stock is very difficult and complex since there are lots of variables we should consider. Most of stock system usually deals with the stock indices and their properties. But recent stock system can not provide clearly the classification according to similar stock properties. So we need smart clustering algorithm for stock market that can derive their hidden interactions from stock indices. In this paper, we propose phylogenetic analysis for stock market using the string alignments based on time-series to cluster stock indices. We also analyze KOSPI data from 2007/01/03 to 2008/02/28 using string alignments, our proposed algorithms can show the meaningful clusters which can not displayed by the recent other system.
Starting Page	487
Ending Page	492
File Size	306786
Page Count	6
File Format	PDF
ISBN	9780769534077
DOI	10.1109/ICCIT.2008.227
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-11
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Computer science Sequences Stock clustering Time series analysis Global Alignment Clustering algorithms DNA Phylogeny Stock markets Information technology Information analysis
Content Type	Text
Resource Type	Article

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