Phases of MANES: Multi-Asset Non-Equilibrium Skew Model of a Strongly Non-Linear Market with Phase Transitions
Igor Halperin

TL;DR
This paper introduces an analytically tractable multi-asset market model capturing non-linear dynamics, phase transitions, and market regimes, using a mean field approach and fitting real market data with minimal parameters.
Contribution
It develops the Multi-Asset Non-Equilibrium Skew (MANES) model, extending previous single-asset models to multi-asset markets with phase transition analysis and closed-form solutions.
Findings
Model captures phase transitions and ergodicity breaking.
Accurately fits market data with a single volatility parameter.
Provides analytical expressions for market returns.
Abstract
This paper presents an analytically tractable and practically-oriented model of non-linear dynamics of a multi-asset market in the limit of a large number of assets. The asset price dynamics are driven by money flows into the market from external investors, and their price impact. This leads to a model of a market as an ensemble of interacting non-linear oscillators with the Langevin dynamics. In a homogeneous portfolio approximation, the mean field treatment of the resulting Langevin dynamics produces the McKean-Vlasov equation as a dynamic equation for market returns. Due to the strong non-linearity of the McKean-Vlasov equation, the resulting dynamics give rise to ergodicity breaking and first- or second-order phase transitions under variations of model parameters. Using a tractable potential of the Non-Equilibrium Skew (NES) model previously suggested by the author for a…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Financial Markets and Investment Strategies · Stochastic processes and financial applications
