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 diversiﬁ-cation/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.
Expert Systems with Applications 40(5), pp.1542–1554