DFAS Doctrine: The Foundational Framework for Doctrinal Financial Science

This document presents the DFAS Doctrine: The Foundational Framework for Doctrinal Financial Science, authored by Hasan Mohamed Husain Alaali. It introduces a globally unprecedented approach to financial science by establishing the first doctrinal system that integrates financial modeling, AI-enhanced engines, validation governance, and intellectual property enforcement into a unified, institutional-grade architecture. The doctrine formally launches the field of Doctrinal Financial Science (DFAS) — a new discipline that combines traditional financial theory with dynamic, scenario-based engines, proprietary model governance, ESG-adjusted simulations, and structured authorship enforcement protocols. DFAS is structured around over 100 original financial models developed by the author under the Alaali Financial Models Framework (AFMF), including liquidity forecasting tools, volatility stress indices, and AI-powered capital structure systems. Key components include the DFAS-FEP Protocol for authorship and governance, engine-classification logic, and integrated validation tiers. The doctrine is supported by permanent archival on Overleaf, GitHub, and Zenodo to ensure timestamped traceability and version integrity. This foundational manuscript is not merely a contribution — it is the formalization of a new financial science, setting intellectual, structural, and institutional precedent. Citation: Alaali, H. M. H. (2025). DFAS Doctrine: The Foundational Framework for Doctrinal Financial Science. Zenodo. https://doi.org/10.5281/zenodo.15496179. Hasan Mohamed Husain AlaaliAIA, CPA, IPA Fellow MemberFounder and Architect of DFAS (Dynamic Financial Applied Science)Creator of AFMF & DFAS-FEP (Alaali Financial Models Framework)ORCID: 0009-0007-2489-9435Email: [email protected]: https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=7407757Zenodo Archive: https://zenodo.org/search?page=1&size=20&q=Hasan%20Mohamed%20Husain%20Alaali