Spin Glass Model of Operational Risk
M. Bardoscia, P. Facchi, S. Pascazio, A. Trullo

TL;DR
This paper models operational risk using a spin glass framework, exploring various dynamic regimes, robustness, limit cycles, and asymptotic behaviors to understand complex risk phenomena.
Contribution
It introduces a novel spin glass model for operational risk, analyzing its dynamic regimes and stability properties.
Findings
System is robust against parameter variations
Presence of limit cycles identified
Asymptotic states characterized
Abstract
We analyze operational risk in terms of a spin glass model. Several regimes are investigated, as a functions of the parameters that characterize the dynamics. The system is found to be robust against variations of these parameters. We unveil the presence of limit cycles and scrutinize the features of the asymptotic state.
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Financial Risk and Volatility Modeling · Ecosystem dynamics and resilience
