Intelligence in Markets: Asset Pricing, Mechanism Design, and Natural Computation
Abstract
Researchers are increasingly using evolution, human and animal cognition as autonomous agents in the exploration of market interaction. Agent-based Computational Economics (ACE) gives economists the ability to model large-scale agent-based environments in order to make new discoveries of the economic and financial systems. ACE approaches analyze an economy from an angle different from that of analytical models. It is called a constructive approach accounting for its focus on the fundamental elements of the system, as opposed to global dynamics. The computational intelligence techniques of ADP, which are capable of generating solutions to the dynamic programming problem in complex changing environments, might prove useful in taking the approach to a level in which it could be used by asset managers in the field. The computational intelligence engine provides an understanding of the price of the assets and then the efficient frontier is searched for the optimal portfolio based on comfortable risk levels.
Recommended Citation
J. E. Seiffertt and D. C. Wunsch, "Intelligence in Markets: Asset Pricing, Mechanism Design, and Natural Computation," IEEE Computational Intelligence Magazine, vol. 3, no. 4, pp. 27 - 30, 38, Institute of Electrical and Electronics Engineers (IEEE), Jan 2008.
The definitive version is available at https://doi.org/10.1109/MCI.2008.929846
Department(s)
Electrical and Computer Engineering
International Standard Serial Number (ISSN)
1556-603X
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2008 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jan 2008
