A-ESG² Model Validation Dataset – Nonlinear ESG Risk Amplification Analysis

This dataset provides timestamped validation and authorship documentation for A-ESG², a proprietary Tier-2 fragility model developed under the Alaali Financial Models Framework (AFMF). Classified as A-NLE Enhanced, A-ESG² introduces a nonlinear logic layer designed to detect ESG-driven fragility, specifically when low ESG performance is compounded by external shocks or reputational events. The dataset includes: A signed model declaration with authorship by Hasan Alaali Machine learning validation results (Logistic Regression and Random Forest) Confusion matrix summary IP disclaimer and authorship protection statement A-ESG² represents a first-of-its-kind nonlinear ESG risk modeling framework. Its proprietary logic is retained under intellectual property protection and is not disclosed within this file. The model builds on the A-NLE logic engine to quantify threshold-based ESG fragility escalation, addressing critical gaps in traditional linear ESG risk assessments. This file serves as timestamped proof of originality, performance validation, and public attribution.