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基于符号时间序列分析法的A股上海板块网络结构分析 被引量:6

Network Structure Analysis of the Shanghai Sector of a-Share Market Based on Symbolic Time Series Analysis Method
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摘要 股票价格的变化不仅受自身基本面的制约,而且也受其他股票的影响。网络分析方法是一种用于分析复杂股票关系的工具。基于符号时间序列分析法,构建了我国A股市场上海板块网络的最小生成树及相对应的分层树,从上市公司之间关系的角度分析和解释了实证结果。 Stock price is not only driven by its fundanmentals, but also influenced by other relative companies. Network analysis methods are useful tools to analysis such complicated relations between stocks. Based on symbolic time series analysis method, Minimum Spanning Tree (MST) and Hierarchical Tree (HT) of the ShangHai Sector of A-share Market are constructed. And the results from a view of relations are analyses and expained between listed companies.
作者 张杰 陈晔君
出处 《科学技术与工程》 2010年第5期1184-1187,共4页 Science Technology and Engineering
基金 北京市教委优秀人才培养专项经费项目(SM200710005001)资助
关键词 符号时间序列分析法 聚类 最小生成树 分层树 symbolic time series analysis cluster analysis minimum spanning tree hierarchical tree
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参考文献6

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