| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 410145 | Neurocomputing | 2013 | 10 Pages |
Abstract
In this paper, we present a cellular learning automata model for the investment behavior in the stock market. In this model, investors decide to hold, buy, or sell the stocks based on the evolution rules and learn how much they can trust on other investors based on the learning rules. We analyze the effects of imitation, reliability and macrofactors on the stock market and compare the obtained results with the previous approach that is based on cellular automata.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Milad Mozafari, Rahim Alizadeh,