کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
977122 | 1480156 | 2015 | 6 صفحه PDF | دانلود رایگان |
• We model the dynamics of boolean network to apply in financial market.
• The model is applied to the financial crisis.
• The states of network are binary and represent economic variables of countries.
• It is possible to simulate how perturbations in the states of specific nodes propagate to the other nodes.
This work presents a network model for representation of the evolution of certain patterns of economic behavior. More specifically, after representing the agents as points in a space in which each dimension associated to a relevant economic variable, their relative “motions” that can be either stationary or discordant, are coded into a boolean network. Patterns with stationary averages indicate the maintenance of status quo , whereas discordant patterns represent aggregation of new agent into the cluster or departure from the former policies. The changing patterns can be embedded into a network representation, particularly using the concept of autocatalytic boolean networks. As a case study, the economic tendencies of the BRIC countries ++ Argentina were studied. Although Argentina is not included in the cluster formed by BRIC countries, it tends to follow the BRIC members because of strong commercial ties.
Journal: Physica A: Statistical Mechanics and its Applications - Volume 417, 1 January 2015, Pages 1–6