Advanced financial modeling techniques and their impact on strategic business planning and performance
1 Independent Researcher, Dallas, TX, USA.
2 Independent Researcher, NJ, United States of America.
3 Zenith General Insurance Company Limited, Nigeria.
Review
International Journal of Scholarly Research and Reviews, 2024, 05(01), 017–025.
Article DOI: 10.56781/ijsrr.2024.5.1.0037
Publication history:
Received on 17 June 2024; revised on 28 July 2024; accepted on 31 July 2024
Abstract:
This review paper explores the profound impact of advanced financial modeling techniques on strategic business planning and performance. The paper begins with an overview of the evolution of financial modeling, highlighting the importance of advanced techniques such as Monte Carlo simulations, real options analysis, and machine learning models. It delves into the role of technology, including artificial intelligence and big data analytics, in enhancing financial modeling capabilities. The discussion then shifts to how these advanced models support strategic business planning by providing deeper insights, improving risk management, and facilitating better decision-making. The paper also examines the challenges of implementing advanced financial modeling, including data quality issues and skill gaps, and offers practical business recommendations. Future trends in financial modeling, such as increased AI integration and the incorporation of ESG factors, are also explored. The review concludes by emphasizing the significant benefits of advanced financial modeling in driving strategic business decisions and improving overall business performance.
Keywords:
Advanced Financial Modeling; Strategic Business Planning; Monte Carlo Simulations; Machine Learning Models; Risk Management
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0