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Improving Efficiency of Valuation: A Comprehensive Study of Building Discounted Cash Flow Models and Financial Dashboards

Yadawad, Barath Ramesh (2024) Improving Efficiency of Valuation: A Comprehensive Study of Building Discounted Cash Flow Models and Financial Dashboards. Masters thesis, Dublin, National College of Ireland.

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Abstract

This research explores the Integration of the Discounted cash flow valuation model (DCF) into the financial dashboard to improve precision of valuation and efficiency in the decision making. Motivated by the need of more precise and prompt financial analysis, the researcher developed a Discounted Cash Flow model with customized formula followed by 5 steps in the DCF model namely Fresh cashflow, WACC, Terminal Value, Discount the Free Cash Flow and Terminal Value, Implied share price. The model was then combined with the real-time Financial Dashboard that provides with visualization of the projected value of the firm. The implementation was validated using the company predicted data and decision-making protocols. The key findings demonstrate that the integration of the DCF model into the Financial Dashboard resulted in 50% decrease in the time it to make decision, which showed that financial dashboard integrated with DCF model can be beneficial in speeding up and improving financial decision. The findings were demonstrated by OLS Regression analysis which revealed a robust connection between the use of dashboard and enhanced efficiency in decision-making.

Item Type: Thesis (Masters)
Supervisors:
Name
Email
Cosgrave, Noel
UNSPECIFIED
Uncontrolled Keywords: Financial Dashboard; DCF model; OLS; WACC
Subjects: H Social Sciences > HG Finance
H Social Sciences > HG Finance > Financial Services
H Social Sciences > HG Finance > Fintech
T Technology > T Technology (General) > Information Technology > Fintech
Divisions: School of Computing > Master of Science in FinTech
Depositing User: Ciara O'Brien
Date Deposited: 06 Aug 2025 11:42
Last Modified: 06 Aug 2025 11:42
URI: https://norma.ncirl.ie/id/eprint/8440

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