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
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;
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
DOI :
10.1109/CSO.2010.39