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MBA Corporate Finance Midterm Project: Company MBA-FIN602

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Added on: 2025-06-05 11:48:23
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  • Subject Code :

    MBA-FIN602

MBA Corporate Finance Midterm Project Company Valuation

Project Overview

For this midterm project, you will conduct a valuation of a publicly traded company of your choice using:

  1. Discounted Cash Flow (DCF) Valuation (50%)
  2. Relative Valuation using Comparable Companies (30%)
  3. Short Essay & Data Source Disclosure (20%)

You must use real-world financial data from reputable sources (e.g., SEC filings, company annual reports, Bloomberg, Yahoo Finance). No hypothetical data is allowed.

Project Requirements

  1. Discounted Cash Flow (DCF) Valuation (50 points)

Using real financial data, construct a complete DCF model that includes:

  • Free Cash Flow (FCF) Forecast:

  • -Project FCF for at least five years using logical and well-supported growth
    • Terminal Value Calculation:

  • -Choose between Gordon Growth Model or Exit Multiple Method, and explain your choice.
    • Discount Rate (WACC) Calculation:

  • -Use the Capital Asset Pricing Model (CAPM) to estimate WACC with real- world inputs (risk-free rate, market return, beta, capital structure).
    • Sensitivity Analysis:

  • -Perform at least one sensitivity analysis on a key assumption (e.g., discount rate, growth rate, margin).
    • Excel File Requirements:
  • -Must contain clear labels, intact formulas, and references to data

2. Relative Valuation (30 points)

Compare your chosen company to at least three real comparable firms, using:

  • Key Valuation Multiples:

  • -P/E (Price-to-Earnings)
  • -EV/EBITDA (Enterprise Value to EBITDA)
    • Comparable Firm Selection:

  • -Justify why you selected the peer firms and any necessary adjustments made to account for differences in size, industry, or risk.
    • Analysis & Comparison:

  • -Discuss whether the relative valuation aligns with your DCF result and explain any discrepancies.
    • Excel File Requirements:

  • -Well-organized spreadsheet with proper calculations.

3. Short Essay & Data Source Disclosure (20 points)

Write a 2-4 page essay discussing:

  • DCF Assumptions:
  • -Justify key inputs (revenue growth, discount rate, margin assumptions, ).
    • Selection of Comparable Firms:

  • -Explain why you chose the peer companies and any adjustments
    • Valuation Methodology & Limitations:

  • -Compare DCF Relative Valuation, and discuss strengths and weaknesses of each approach.

  • -Identify potential sources of error or uncertainty in your
    • Disclosure of References & Data Sources:
  • - Clearly cite all sources used, including financial statements, industry reports, and databases (e.g., SEC filings, Bloomberg, Yahoo Finance, FactSet, Capital IQ, Reuters, or Macrotrends).

  • -Submissions without proper citations will be
    • AI Usage Disclosure:

  • -If you use AI tools (e.g., ChatGPT, Excel AI, Bloomberg GPT), disclose how you used them in the essay.

  • -Over-reliance on AI without demonstration of financial reasoning will negatively impact your grade.

Submission Guidelines

  • ExcelFile: Clearly labeled with structured calculations and source
  • ShortEssay: Submit as a PDF or Word document with proper
  • Deadline: March 2 2025 11:59pm Late submissions will be penalized unless prior approvalis Every day delayed will result in a 10?duction to your full points.

Grading Rubric (100 Points Total)

Category

Excellent (A) (90-100%)

Good (B) (80-

89%)

Adequate (C) (70-79%)

Needs Improvement (D/F) (<70>

DCF Valuation (50 pts)

Realistic assumptions, well-supported calculations, accurate WACC &

terminal value estimation.

Minor flaws in assumptions or calculations; reasonable valuation output.

Some errors in methodology or missing justification for key inputs.

Major errors in calculations or unrealistic assumptions.

Relative Valuation (30 pts)

Well-chosen comparables, clear justification, correct multiple calculations.

Comparables mostly reasonable but some justification is weak; minor errors.

Comparables not well explained or missing key multiples.

Poor choice of comparables or major errors in calculations.

Short Essay & Data Sources (20 pts)

Well- structured, insightful discussion of assumptions, methodology, and properly cited data

sources.

Adequate discussion, but lacking depth or missing some citations.

Basic discussion with limited justification; weak citation.

Weak or incomplete explanations, missing citations.

AI Disclosure & Academic Integrity

AI used thoughtfully with proper disclosure.

AI used but lacks clear integration with original work.

AI reliance evident; weak original input.

AI-generated content with no original thought.

  • Uploaded By : Nivesh
  • Posted on : June 05th, 2025
  • Downloads : 0
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