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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pandey, P. Hemant, S. Van Khanh, D. |
| Copyright Year | 2009 |
| Abstract | Portfolio optimization based on the behavior and risk appetite of the heterogeneous investor community in financial markets has been very difficult to model and predict accurately. In this paper, firstly we attempt to simulate a multi-agent based stock market; where different types of agents are modeled to trade stocks using various strategies. The observations from trading activity of the user are in turn used to assess the risk adversity level (RAL) by using a suitable fuzzy logic model. RAL score from the fuzzy model serves as input to perform portfolio optimization using Genetic algorithm. We further analyze and evaluate the optimum portfolio performance for different risk adversity level |
| Starting Page | 117 |
| Ending Page | 122 |
| File Size | 407277 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424453306 |
| DOI | 10.1109/SoCPaR.2009.34 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-04 |
| Publisher Place | Malaysia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fuzzy logic Computational modeling Genetic algorithm Agent based modelling Predictive models Pattern recognition Electronic mail Performance analysis Risk analysis Stock markets Portfolios Genetic algorithms |
| Content Type | Text |
| Resource Type | Article |
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