Title :
Study of the trading behavior on agent-based system simulation
Author :
Ren, Da ; Zhang, Yue
Author_Institution :
Dept. of Manage. & Econ., Univ. of Tianjin, Tianjin, China
Abstract :
In this paper, an artificial stock market based on Agent is built combined with system simulation technology. The heterogeneous investors will evolve and adapt to the environment through social learning in the artificial stock market. Public rule set is composed of the trading rule of each investor. And the public rule set evolves by genetic algorithm. This paper analyzes and researches the impact of social learning in the different learning speeds on financial market and micro-level investor.
Keywords :
investment; multi-agent systems; stock markets; agent based system simulation; artificial stock market; financial market; heterogeneous investors; microlevel investor; public rule set; social learning; trading behavior; trading rule; Adaptation models; Computational modeling; Fluctuations; Genetic algorithms; Learning systems; Stock markets; Heterogeneous Investors; Neural Network; System Simulation; Trader Groups;
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-61284-446-6
DOI :
10.1109/ICIEEM.2011.6035508
