Abstract :

This Research Paper Focuses On The Use Of Multi-objective Goal Programming (MOGP) Models In Developing The Corporate Financial Strategy Using A Data-driven Method. The Model Will Help In Creating Well-balanced And Effective Financial Strategies Through The Integration Of Real-time Data And Optimization Of Several Financial Objectives. There Were Four Analyzed Areas And These Were: Portfolio Optimization, Capital Budgeting, Risk Management And The Prioritization Of Financial Objectives. The Findings Indicate That MOGP Is Also Resource Allocation Tool That Is Effective In Managing The Risk Exposure, And Enhancing The Decision Making In Most Financial Activities Of The Corporation. In Particular, Prioritization Of Such Objectives As Maximization Of Shareholder Value And Risk Exposure Reduction Was In Line With The Strategic Objectives, Maximizing Capital Allocation To Various Projects With Different Risk Levels. Also, It Was Shown That The Model Had A High Decrease In The Exposure To Risk, Where The Risk Management Plans Had Decreased The Potential Impact By An Average Of 40. These Results Underline The Effectiveness Of MOGP In Enhancing Corporate Financial Decisionmaking, Which Can Be Applied To The Further Financial Planning. Keywords: Multi-objective Goal Programming, Corporate Financial Strategy, Data-driven Models, Portfolio Optimization, Capital Budgeting, Risk Management

Published:

04-10-2025

Issue:

Vol. 25 No. 10 (2025)

Page Nos:

452-458

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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