DocumentCode :
3181337
Title :
Study on artificial stock market model based on heterogeneous investors
Author :
Yao, Shuang ; Zhang, Zhan ; Huang, Weiqiang
Author_Institution :
Sch. of Econ. & Manage., Shenyang Univ. of Chem. Technol., Shenyang, China
fYear :
2011
fDate :
8-10 Aug. 2011
Firstpage :
2418
Lastpage :
2421
Abstract :
By depicting trade strategy imitation among investors and stock price forming mechanism, we establish an artificial stock market model based on heterogeneous investors with the method of mean field approximation. The model considers both behavioral heterogeneity of investors and structural heterogeneity of investor network. The simulation results reveal that in certain parameter interval, the stock return of artificial market has the same properties as that of real markets, such as volatility clustering, sharp peaks and thick tail distributions, nonlinear time correlation. The investors´ trade strategy imitation tendency and the network average degree have positive relations with return fluctuation level. The trade behaviors of fundamentalists can smooth stock price fluctuations. Thus, fostering institutional investors will favor the steady development of stock market.
Keywords :
investment; pricing; stock markets; artificial stock market model; heterogeneous investors; institutional investors; mean investor network; nonlinear time correlation; return fluctuation level; sharp peaks; stock price forming mechanism; thick tail distributions; trade strategy imitation; volatility clustering; Fluctuations; Indexes; Mathematical model; Noise; Stock markets; Switches; artificial stock market; behavioral heterogeneity; heterogeneous investors; structural heterogeneity; stylized facts;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
Type :
conf
DOI :
10.1109/AIMSEC.2011.6010992
Filename :
6010992
Link To Document :
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