AFMF Legacy Series – Teaser Paper 4: AI-Enhanced, Governance, and Strategic Risk Models under Sovereign-Aware Financial Architecture
This fourth and final paper in the AFMF Legacy Series formally asserts the authorship of 17 advanced financial models designed to address emerging domains in corporate finance. These models integrate AI-driven forecasting, ESG-linked risk interpretation, governance alignment, and strategic valuation adjustments—underpinned by the author’s proprietary Sovereign Support Adjustment Factor (SSAF) framework. The models target critical areas such as crisis trigger simulation, post-M&A integration risk, AI-powered credit scoring, proxy voting impact, energy volatility, and digital asset valuation. Each is summarized conceptually with SSAF exposure noted. Computational mechanics, AI training logic, and calibration parameters remain confidential. This document is published to secure authorship and prevent derivative rebranding.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-08
- DOI
- https://doi.org/10.5281/zenodo.15178329
- Primary Topic
- Credit Risk and Financial Regulations
- Type
- article
- Field-Weighted Citation Impact
- 0.00