DocumentCode
480139
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
Volume
4
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
325
Lastpage
328
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.1311
Filename
4722626
Link To Document