unit code, your name, your student number, and the assignment, for example: EFB343 _Doe John _n1234567 _Assignment
Save your file using this name and then upload it to Canvas.
This project is designed to explore the dynamics of corporate valuation in the context of mergers and acquisitions (M&As). The primary goal is to enhance students’ skills in research, analysis, financial modeling, and time management while applying corporate valuation techniques.
The assessment requirements include:
Format: Completed entirely in Excel using the provided template (no handwritten or scanned submissions).
Content: Focus on calculations and short explanations (typed in text boxes within Excel).
Word Limit: Around 800 words (+/-10%), though the bulk of the work is calculations.
Marks: Total of 40 marks, awarded for both accuracy of calculations and clarity of explanations. Ambiguous or contradictory answers will lose marks.
File Naming: File must be saved and uploaded in the correct naming format — unit code_student name_student number_Assignment.
Submission: Upload the Excel file via Canvas before the due date. Late submissions without an approved extension will receive zero marks.
Referencing: Use in-text citations and a reference list if incorporating external views; own ideas and calculations do not require referencing.
The key tasks within the assignment involve:
Corporate valuation using Excel modeling.
Application of valuation methods in M&As.
Exploring information retrieval processes.
Recognizing the limitations of valuation models.
Understanding the role of uncertainty in valuations.
When guiding the student, the academic mentor followed a structured step-by-step approach:
The mentor began by carefully reviewing the instructions with the student.
Emphasis was placed on the requirement to complete the work in Excel, with typed explanations included in text boxes.
The student was reminded about formatting, clarity, and file naming conventions to avoid submission issues.
The mentor explained the significance of valuation in mergers and acquisitions, covering concepts such as:
Discounted Cash Flow (DCF)
Comparable Companies Analysis
Precedent Transactions
The limitations and assumptions behind these methods were also clarified, preparing the student to critically evaluate results.
The mentor guided the student through importing and organizing data in Excel.
The use of formulas, functions, and financial modeling techniques (e.g., NPV, IRR, sensitivity analysis) was demonstrated.
Students were encouraged to format the sheet clearly so another analyst could easily replicate the work.
Though not directly coding, the mentor helped the student understand how data querying parallels valuation assumptions (retrieving relevant info, cleaning data, etc.).
The mentor stressed that calculations alone are insufficient. Students must also:
Interpret what the results mean in an M&A context.
Discuss the impact of uncertainty on valuation outcomes.
Use references when external theories or valuation practices are discussed.
The student was guided to draft their calculations and explanations directly in Excel.
The mentor reviewed clarity, checked formulas, and ensured logical flow.
Focus was placed on avoiding contradictions or incomplete answers.
By following this structured approach, the student successfully:
Completed all calculations accurately within Excel, with clear formatting and explanations in text boxes.
Applied valuation techniques (DCF, comparables, etc.) to the M&A scenario.
Identified limitations in valuation methods and addressed the role of uncertainty.
Produced a submission that adhered to the required format and academic integrity standards.
Strengthened skills in data analysis, Excel modeling, report structuring, referencing, and time management.
Ability to apply financial valuation methods in real-world contexts.
Improved Excel modeling and calculation skills for corporate finance.
Critical understanding of information retrieval and limitations in valuation.
Awareness of uncertainty and assumptions in financial decision-making.
Enhanced research, analytical, and academic writing skills.
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