DocumentCode
524606
Title
SSCM-Based Simulation of Stock Market: Put Bounded Rational into Social and Stock Environment
Author
Lin, Nan ; Ding, Xiaochao ; Qin, Zheng
Author_Institution
Sch. of Int. Bus. Adm., Shanghai Univ. of Finance & Econ., Shanghai, China
Volume
1
fYear
2010
fDate
28-31 May 2010
Firstpage
90
Lastpage
94
Abstract
In this paper, we classify stock simulation environments as cognitive environment, social environment and stock environment. Stock market simulation systems are usually built based on cognitive and social environment, the simulation results are affected by the mental factors and their interaction results. Based on the past researches, this paper presents a Social Stock Competition Model (SSCM) which takes stock environment into consideration, so we can connect bounded rationality with social and stock environment. In SSCM, we simulate the organization information propaganda processes which generate stock related news. The generated news contains stock factors. Stockholder cooperate with the related stockholders in their social network, and make stock exchange decision based on these news and their relations with other stockholders. When stockholder make decision on one stock, they will compete with the other stockholders in stock market. The competition results will decide the price of the stocks.
Keywords
social aspects of automation; stock markets; SSCM-based simulation; bounded rationality; cognitive environment; mental factors; organization information propaganda process; social environment; social networking; social stock competition model; stock exchange decision; stock market; stock market simulation environment; stock related news; stockholders; Data mining; Data preprocessing; Feature extraction; Frequency; Information processing; Information technology; Natural language processing; Stock markets; Vocabulary; Web pages; SSCM; Simulation; Social network; Stock market;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Science and Optimization (CSO), 2010 Third International Joint Conference on
Conference_Location
Huangshan, Anhui
Print_ISBN
978-1-4244-6812-6
Electronic_ISBN
978-1-4244-6813-3
Type
conf
DOI
10.1109/CSO.2010.39
Filename
5532906
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