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| Content Provider | Springer Nature Link |
|---|---|
| Author | Sato, Aki hiro |
| Copyright Year | 2008 |
| Abstract | In this article, an informational method to quantify behavioral similarities of market participants is proposed regarding a financial market as a many-body system. An agent-based model of a financial market in which N market participants deal with M financial commodities is considered. In order to measure the agents’ interactions, the spectral distance defined by the Kullback-Leibler divergence between two normalized spectra of behavioral frequencies is introduced. The validity of the method is evaluated by using the behavioral frequencies obtained from the agent-based model. It is concluded that the perception and decision parameters of agents who treat two commodities tend to be similar when the behavioral frequencies are similar. |
| Starting Page | 176 |
| Ending Page | 179 |
| Page Count | 4 |
| File Format | |
| ISSN | 14335298 |
| Journal | Artificial Life and Robotics |
| Volume Number | 12 |
| Issue Number | 1-2 |
| e-ISSN | 16147456 |
| Language | English |
| Publisher | Springer Japan |
| Publisher Date | 2008-04-01 |
| Publisher Place | Japan |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Agent-based modeling Kullback-Leibler divergence Behavioral frequencies Automation and Robotics Computation by Abstract Devices Artificial Intelligence (incl. Robotics) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Biochemistry, Genetics and Molecular Biology |
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