| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1135359 | Computers & Industrial Engineering | 2009 | 7 Pages |
Abstract
In this paper, using a developed cellular automaton model of the stock market, variables reflecting fractal and stability properties are introduced to describe complexity in the stock market; the concept of discrete level is defined to characterize market stability. Based on the model, the dependency of market complexity on the investors’ imitation degree is investigated. The results show a clear correlation between investors’ imitation degree and complexity of the stock market.
Related Topics
Physical Sciences and Engineering
Engineering
Industrial and Manufacturing Engineering
Authors
Ying Fan, Shang-Jun Ying, Bing-Hong Wang, Yi-Ming Wei,