Data mining investigation of co-movements on the Taiwan and China stock markets for future investment portfolio

被引:39
|
作者
Liao, Shu-Hsien [1 ]
Chou, Shan-Yuan [1 ]
机构
[1] Tamkang Univ, Dept Management Sci, New Taipei City 251, Taiwan
关键词
Cross-national stock market; Stock market investment portfolio; Co-movements; Data mining; Association rules; Cluster analysis; RETURNS; INVESTORS; INDEXES; PRICES;
D O I
10.1016/j.eswa.2012.08.075
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
On June 29, 2010, Taiwan signed an Economic Cooperation Framework Agreement (ECFA) with China as a major step to open markets between Taiwan and China. Thus, the ECFA will contribute by creating a closer relationship between China and Taiwan through economic and market interactions. Co-movements of the world's national financial market indexes are a popular research topic in the finance literature. Some studies examine the co-movements and the benefits of international financial market portfolio diversification/integration and economic performance. Thus, this study investigates the co-movement in the Taiwan and China (Hong Kong) stock markets under the ECFA using a data mining approach, including association rules and clustering analysis. Thirty categories of stock indexes are implemented as decision variables to observe the behavior of stock index associations during the periods of ECFA implementation. Patterns, rules, and clusters of data mining results are discussed for future stock market investment portfolio. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1542 / 1554
页数:13
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