Noise induced Stability of a Mean-Field model of Systemic Risk with uncertain robustness

Fuente: arXiv
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Main Author: Alecio, Alexander
Format: Preprint
Published: 2025
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author Alecio, Alexander
author_facet Alecio, Alexander
contents We consider a model for systemic risk comprising of a system of diffusion processes, interacting through their empirical mean. Each process is subject to a confining double-well potential with some uncertainty in the coefficients, corresponding to fluctuations in height of the potential barrier seperating the two wells. This is equivalent to studying a single McKean-Vlasov SDE with explicit dependence on its moments and, novelly, independently varying additive and multiplicative noise. Such non-linear SDEs are known to possess two phases: stable (ordered) and unstable (disordered). When the potential is purely bistable, the phase changes from stable to unstable when noise intensity is increased past a critical threshold. With the recent advances, it will be shown that the behaviour here is far richer: indeed, depending on the interpretation of the stochastic integral, the system exhibits phase changes that cannot occur in any regime where there is no uncertainty in the potential. Strikingly, this allows for the phenomenon of noise induced stability; situations where more noise can reduce the risk of system failure.
format Preprint
id arxiv_https___arxiv_org_abs_2511_03358
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Noise induced Stability of a Mean-Field model of Systemic Risk with uncertain robustness
Alecio, Alexander
Probability
Risk Management
60H30, 60J60, 82C26, 91B26, 91B70
We consider a model for systemic risk comprising of a system of diffusion processes, interacting through their empirical mean. Each process is subject to a confining double-well potential with some uncertainty in the coefficients, corresponding to fluctuations in height of the potential barrier seperating the two wells. This is equivalent to studying a single McKean-Vlasov SDE with explicit dependence on its moments and, novelly, independently varying additive and multiplicative noise. Such non-linear SDEs are known to possess two phases: stable (ordered) and unstable (disordered). When the potential is purely bistable, the phase changes from stable to unstable when noise intensity is increased past a critical threshold. With the recent advances, it will be shown that the behaviour here is far richer: indeed, depending on the interpretation of the stochastic integral, the system exhibits phase changes that cannot occur in any regime where there is no uncertainty in the potential. Strikingly, this allows for the phenomenon of noise induced stability; situations where more noise can reduce the risk of system failure.
title Noise induced Stability of a Mean-Field model of Systemic Risk with uncertain robustness
topic Probability
Risk Management
60H30, 60J60, 82C26, 91B26, 91B70
url https://arxiv.org/abs/2511.03358