Using software agents to simulate how investors' greed and fear emotions explain the behavior of a financial market

Proceedings of the 8th WSEAS International Conference on System Science and Simulation in Engineering, ICOSSSE '09

Volumn , Issue , 2009, Pages 241-245

  Neri, Filippo ^a  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

Financial markets; Simplification oriented modelling of complex systems; Simulation of complex systems; Software agents

Indexed keywords

EID: 78149346990     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Bettman, J. (1979). An information processing theory of consumer choice. Addison Wesley, Reading, MA (USA).
2. Hoffmann, A. O. I., Delre, S. A., von Eije, J. H., and Jager, W. (2006). Artificial multi-agent stock markets: Simple strategies, complex outcomes. In Advances in Artificial Economics, volume 584 of Lecture Notes in Economics and Mathematical Systems, pages 167-176. Springer-Verlag.
3. Kendall, G. and Su, Y. (2003). A multi-agent based simulated stock market - testing on different types of stocks. In Congress on Evolutionary Computation (CEC03, pages 2298-2305.
4. Neri, F. (2005). Empirical investigation of word-of-mouth phenomena in markets: a software agent approach. WSEAS Transaction on Computers, 4(8):987-994.
5. Schulenburg, S., Ross, P., and Bridge, S. (2000). An adaptive agent based economic model. In Learning Classifier Systems: From Foundations to Applications, volume 1813 of Lecture Notes in Artificial Intelligence, pages 265-284. Springer-Verlag.
6. Takahashi, H. and Takano, T. (2007). Analyzing the influence of overconfident investors on financial markets through agent-based model. In Intelligent Data Engineering and Automated Learning - IDEAL 2007, volume 4881 of Lecture Notes in Computer Science, pages 1042-1052. Springer-Verlag.