Show HN: Art-2D – A physics-based model for financial collapse prediction (zenodo.org)

A new framework called the 2D Asymmetric Risk Theory (ART-2D) has been proposed to enhance prediction models for financial instability, utilizing Langevin dynamics to quantify systemic fragility in complex systems. Departing from traditional temporal prediction methods constrained by the Efficient Market Hypothesis, the ART-2D model focuses on identifying structural phase transitions akin to financial seismology. It introduces a Universal State Vector derived from intricate interactions between convex Principals and concave Agents, leveraging Itô calculus and Kullback-Leibler divergence to assess Structural and Informational Asymmetries. This model produces a scalar metric for the risk of bifurcation, with a critical threshold indicating the transition from stable to unstable financial environments. The significance of ART-2D lies in its empirical validation against major financial crises, including the 2008 meltdown and the recent Terra/Luna collapse, demonstrating a Conditional Risk Amplification Factor exceeding 6.0x in endogenous systems. By incorporating concepts of spectral contagion and stochastic optimal control, ART-2D positions itself as a robust, physics-based alternative to existing macroprudential indicators like those in Basel III, promising to advance the field of risk assessment and financial regulation. This innovative approach could reshape how economists and regulators monitor systemic risks, potentially leading to more proactive financial stability strategies.