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

Authors:
Shu-Hsien Liao;Shan-Yuan Chou
Affiliations:
Department of Management Sciences, Tamkang University, No. 151, Yingjuan Road, Danshuei Dist., New Taipei City, 251, Taiwan, ROC;Department of Management Sciences, Tamkang University, No. 151, Yingjuan Road, Danshuei Dist., New Taipei City, 251, Taiwan, ROC
Venue:
Expert Systems with Applications: An International Journal
Year:
2013

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Abstract

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.