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An Analytical Model for Intelligent Investment Evaluation Integrating AT Math with the Value-Based Methodologies of Buffett, Graham, and Cusack

DOI https://doi.org/10.55640/tprjsms-v03i08-01
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Dr. Kwame Asante 1 , Dr. Ama Boateng 1 ,
4 Faculty of Economics and Management, Accra Metropolitan University, Ghana
4 Department of Finance and Strategy, Gold Coast University, Ghana

Abstract

Investment decision-making in contemporary financial markets increasingly requires hybrid analytical systems that integrate classical value investing principles with structured mathematical reasoning frameworks. This paper proposes an analytical model that integrates AT Math (Analytical Thinking Mathematics) with the value-based investment methodologies of Warren Buffett, Benjamin Graham, and Charlie Cusack-style interpretative investing logic. The study synthesizes foundational investment philosophies with quantitative decision structures to construct a unified intelligent investment evaluation framework.

The proposed model addresses limitations in traditional valuation approaches, particularly their inability to integrate behavioral reasoning, liquidity sensitivity, and adaptive capital allocation dynamics. By combining intrinsic value assessment (Graham, 2024), business-quality evaluation (Hagstrom, 2005), and behavioral-financial interpretation (Jain, 2010), the framework introduces a structured analytical layer based on AT Math principles to improve decision consistency and reduce cognitive bias.

A qualitative-analytical methodology is adopted using structured literature synthesis and model construction. The findings indicate that integrating mathematical reasoning layers with value investing heuristics enhances decision precision, improves risk assessment, and supports long-term capital optimization. The study contributes a hybrid decision-support model for intelligent investing applicable to institutional and retail investors.

Keywords

Value Investing, AT Math Framework, Investment Evaluation Model, Buffett Strategy

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