This paper is published in Volume-10, Issue-5, 2024
Area
Economics, Technology
Author
Fenil Vijay Chamariya
Org/Univ
Prabhavati Padamshi Soni International Junior College, Mumbai, India
Keywords
Synergies, Cash Flows, Acquisition, Depreciation
Citations
IEEE
Fenil Vijay Chamariya. Expanding the Dimes Model – Methodology and Applications in Acquisition-Based Cash Flow Forecasting, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Fenil Vijay Chamariya (2024). Expanding the Dimes Model – Methodology and Applications in Acquisition-Based Cash Flow Forecasting. International Journal of Advance Research, Ideas and Innovations in Technology, 10(5) www.IJARIIT.com.
MLA
Fenil Vijay Chamariya. "Expanding the Dimes Model – Methodology and Applications in Acquisition-Based Cash Flow Forecasting." International Journal of Advance Research, Ideas and Innovations in Technology 10.5 (2024). www.IJARIIT.com.
Fenil Vijay Chamariya. Expanding the Dimes Model – Methodology and Applications in Acquisition-Based Cash Flow Forecasting, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Fenil Vijay Chamariya (2024). Expanding the Dimes Model – Methodology and Applications in Acquisition-Based Cash Flow Forecasting. International Journal of Advance Research, Ideas and Innovations in Technology, 10(5) www.IJARIIT.com.
MLA
Fenil Vijay Chamariya. "Expanding the Dimes Model – Methodology and Applications in Acquisition-Based Cash Flow Forecasting." International Journal of Advance Research, Ideas and Innovations in Technology 10.5 (2024). www.IJARIIT.com.
Abstract
The DIMES (Dynamic Integrated Model for Estimating Synergies) model is a novel framework designed to predict the future cash flows of companies based primarily on acquisition activity. Unlike traditional models that focus primarily on previous growth, DIMES emphasizes the impact of synergies created through acquisitions. This paper explores the core methodology of DIMES, its application in various industries, and highlights how the model dynamically incorporates acquisition data to estimate future performance. The inclusion of factors like depreciation on cash flow due to inflation is treated as an error, which the model can refine as more accurate data is incorporated. This paper provides a detailed explanation of the methodology and showcases the practical utility of DIMES for financial forecasting.