Publication Date
10-20-2025
Document Type
Article
Publication Title
IEEE Access
Volume
13
DOI
10.1109/ACCESS.2025.3623946
First Page
181336
Last Page
181348
Abstract
We cite correspondences between dynamics in competitive markets and information theory in the objective of recovering signal from noisy information sequences. In financial markets, this objective has been examined as recovering signal on phase transitions between ordered and disordered states of agents in the market. These transitions have been indicated to denote critical points in time series of market price. Although there is a noteworthy background in information theory in the study of the dynamics of the Ising model in this manuscript, we pursue a different modeling approach. Whereas phase transitions in a multicomponent model of market states have previously been studied with numerical methods, we provide an analytical demonstration that a multicomponent model as an Ising analogue can evidence phase transitions.
Funding Sponsor
Helmholtz Association
Keywords
Agent price expectations, Ising market models, multicomponent models of phase transitions, signal in financial markets
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Department
Marketing and Business Analytics
Recommended Citation
Marko Raseta, Steven D. Silver, and Alina Bazarova. "Phase Transitions in an Ising Model of Agent Expectations in Financial Markets: Analytics and Numerical Results in One and Two-Dimensional Network Topologies" IEEE Access (2025): 181336-181348. https://doi.org/10.1109/ACCESS.2025.3623946
