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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Zehong Ni Wei |
| Copyright Year | 2008 |
| Abstract | Markowitz proposed the theory of asset portfolio via a mean-variance model for security investment combination in 1952. The issue of security investment is still challenging till now. Intelligence algorithms were flourishing in resent years. Particle Swarm Optimization (PSO) is inspired by social behavior of bird flocking or fish schooling. It is co-operative, population-based global search swarm intelligence meta-heuristics and is applied to solve the model. Based on the theory PSO algorithm mentioned above, a multi-factor and optimal model for portfolio investment in the condition of considering friction factors in China’s security market is established. Additionally, the model is implemented on the demonstrated research of the index stock of index 30, the result could provide scientific foundation for security investment. |
| Starting Page | 606 |
| Ending Page | 609 |
| File Size | 274572 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769535432 |
| DOI | 10.1109/WKDD.2009.109 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-01-23 |
| Publisher Place | Russia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Costs Data security Birds Electronic mail Data mining Particle swarm optimization PSO Friction security investment Investments optimizing Marine animals Portfolios combination |
| Content Type | Text |
| Resource Type | Article |
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