AFMF AI/ML Simulations: Authorship Record & Monte Carlo Scenario Results.

This record documents the authorship and technical structure of the AFMF AI/ML Simulation Suite, the first simulation framework to integrate ESG risk, sovereign risk, and AI-enhanced forecasting into financial risk modeling. Developed under the Alaali Financial Models Framework (AFMF), the system applies Monte Carlo simulations (10,000 runs), Random Forest classification, and macro-financial stress tests to assess financial distress, capital structure resilience, and liquidity volatility.

The included PDF summarizes the framework’s logic and strategic value, while the structured Excel file provides the simulation variable format. Full simulation outputs are withheld to protect intellectual property.

This dataset complements AFMF Volume 1.0 and supports academic citation, validation protocols, and future licensing of proprietary models including A-ICR (Interest Coverage Resilience), A-CFVI (Cash Flow Volatility Index), and ESG-WACC.