Multi-agent Economics and the Emergence of Critical Markets
Michael S. Harr\'e

TL;DR
This paper reviews agent-based models of markets, emphasizing how endogenous interactions and uncertainty among agents can lead to systemic crises and market instability, connecting microeconomic theories with aggregate critical phenomena.
Contribution
It provides a unified analysis linking microeconomic models and aggregate market criticality, highlighting the role of agent interaction uncertainty in systemic risks.
Findings
Changes in agent interaction uncertainty can trigger endogenous market crises.
Agent interactions with asymmetric uncertainty contribute to market instability.
Emergent phenomena from agent interactions can explain systemic crises.
Abstract
The dual crises of the sub-prime mortgage crisis and the global financial crisis has prompted a call for explanations of non-equilibrium market dynamics. Recently a promising approach has been the use of agent based models (ABMs) to simulate aggregate market dynamics. A key aspect of these models is the endogenous emergence of critical transitions between equilibria, i.e. market collapses, caused by multiple equilibria and changing market parameters. Several research themes have developed microeconomic based models that include multiple equilibria: social decision theory (Brock and Durlauf), quantal response models (McKelvey and Palfrey), and strategic complementarities (Goldstein). A gap that needs to be filled in the literature is a unified analysis of the relationship between these models and how aggregate criticality emerges from the individual agent level. This article reviews the…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Economic theories and models · Financial Markets and Investment Strategies
