Advanced financial modeling techniques and their impact on strategic business planning and performance

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.

Authors

Publication Details

Journal
International Journal of Scholarly Research and Reviews
Published
2024-08-09
DOI
https://doi.org/10.56781/ijsrr.2024.5.1.0037
Primary Topic
Modeling, Simulation, and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Advanced financial modeling techniques and their impact on strategic business planning and performance

Theodore Narku Odonkor, Oghenekome Urefe, Edith Ebele Agu
International Journal of Scholarly Research and Reviews
Modeling, Simulation, and Optimization
article

Advanced financial modeling techniques and their impact on strategic business planning and performance

Theodore Narku Odonkor, Oghenekome Urefe, Edith Ebele Agu
article en

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.

International Journal of Scholarly Research and ReviewsVol. 5(1)
Openalex Percentile: Top 75%
Modeling, Simulation, and Optimization
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Advanced financial modeling techniques and their impact on strategic business planning and performance — Theodore Narku Odonkor, Oghenekome Urefe, et al. · International Journal of Scholarly Research and Reviews (2024) | TGRS Research Map | TGRS