Can Irrational Investors Survive? A Social-Computing Perspective
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Wei Zhang, Tianjin University and Tianjin University of Finance & Economics
Extending finance theories using agent-based computational methods serves two purposes. First, it contributes to solving the intractability problem in behavioral-finance research. Second, it enlarges the agent-based method's application domain. The authors describe their research to extend behavioral finance using agent-based computing, then investigate some key issues in designing artificial stock markets. As their experiments show, agent-based modeling makes a meaningful contribution in extending financial economic theories. This article is part of a special issue on social computing.
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Index Terms:
financial computing, agent-based computing, artificial intelligence, computing methodologies, social computing, social and behavioral sciences, computer applications
Citation:
Yongjie Zhang, Wei Zhang, "Can Irrational Investors Survive? A Social-Computing Perspective," IEEE Intelligent Systems, vol. 22, no. 5, pp. 58-64, Sep./Oct. 2007, doi:10.1109/MIS.2007.82
PURCHASE ARTICLE: $19
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