Title :
Frequent Patterns of Investment Behaviors in Shanghai Stock Market
Author :
Tan, Huiyi ; Cai, H.J. ; Li, Yong
Author_Institution :
Int. Sch. of Software, Wuhan Univ., Wuhan
Abstract :
To analyze the behavior of investors in Shanghai stock market, we mine frequent itemsets and association rules from a real securities clearing dataset. The mining results indicate that, most investors do not diversify their capital to avert risks according to expected risks of a stock. Further analysis reveals that most of the frequent stocks itemsets only cover a few state-owned big-cap (SB) stocks, and the right side of the association rules, both global and constrained, are mostly SB stocks. All these phenomenamake clear a behavioral mode, investors in Shanghai market pursuit SB stocks universally. On the other hand, another group of investors who do not follow the behavior above incline to purchase extremely similar stocks to build their portfolios, whether in the same industry, like banking, energy, materials, and transportation, or in the same category, like ldquospecial treatmentrdquo stocks.
Keywords :
data mining; investment; stock markets; Shanghai stock market; association rules; frequent itemset mining; investment behavior frequent pattern; state-owned big-cap stocks; Association rules; Data analysis; Data mining; Data security; Investments; Itemsets; Pattern analysis; Portfolios; Stock markets; Transaction databases; Data Mining; Frequent Patterns; Investment Behavior;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.1311