Properties of a renewal process approximation for a spin market model
Muffasir Badshah, Robert Boyer, Ted Theodosopoulos

TL;DR
This paper explores how phase transitions in a spin market model depend on interaction strength, revealing robust periodic behavior unaffected by temperature or market size.
Contribution
It introduces a renewal process approximation to analyze phase transitions in a stylized spin market model, highlighting the robustness of periodicity.
Findings
Periodic dynamics depend on coupling constant
Periodicity is robust to temperature changes
Market size does not affect the periodic behavior
Abstract
In this short note we investigate the natur of the phase transitions in a spin market model as a function of the interaction strength between local and global effects. We find that the stochastic dynamics of this stylized market model exhibit a periodicity whose dependence on the coupling constant in the Ising-like Hamiltonian is robust to changes in the temperature and the size of the market.
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Opinion Dynamics and Social Influence · Theoretical and Computational Physics
