Financial Modelling and Valuation Practice Exam

Financial Modelling and Valuation Practice Exam

Finance professionals often deal with extensive numerical data, and effectively managing such data involves organizing and structuring it in a meaningful way for senior management's decision-making processes. This necessitates the creation of robust and dynamic financial models that enable accurate analysis of historical data and the projection of financial performance.

In this program, participants will acquire skills to develop efficient, robust, and adaptable financial models. They will learn to report and analyze historical data, prepare future projections, and present integrated financial statements and key ratios in a logical, concise, and impactful manner. Through specially designed examples, candidates will gain insight into different approaches for computing financial parameters.

Who should take the exam?

The exam is for:

• Finance professionals 
• Finance managers
• Corporate finance, private equity and M&A professionals
• CA, FRM, MBA finance, CFA course candidates
• Self-employed finance professionals
• Graduates

 Skills Required 

• Accounting & Financial Statement Literacy
• Excel Proficiency
• Financial Modeling Techniques
• Valuation Methods
• Business Acumen & Industry Insight
• Presentation & Reporting Skills

Course Outline: Financial Modeling and Valuation Practice Exam
 

Module 1: Introduction to Financial Modeling

• What is financial modeling? Why is it used?
• Types of models (3-statement, DCF, LBO, M&A, Budgeting)
• Overview of Excel tools for modeling
• Setting up your model: structure and formatting conventions

Module 2: Financial Statement Review & Analysis

• Understanding income statements, balance sheets, and cash flow statements
• Ratio analysis (liquidity, profitability, efficiency, leverage)
• Normalizing financials and adjusting non-recurring items
• Identifying trends and red flags

Module 3: Revenue & Expense Forecasting

• Top-down vs bottom-up forecasting methods
• Projecting revenues based on drivers (volume, price, market share)
• Forecasting costs: COGS, SG&A, R&D, depreciation
• Building assumptions with industry data and KPIs

Module 4: Building a 3-Statement Model

• Linking income statement, balance sheet, and cash flows
• Working capital schedules
• Capital expenditure and depreciation schedules
• Debt and interest modeling
• Model balancing and error checks

Module 5: Valuation Fundamentals

• Introduction to valuation approaches: DCF, Comps, Precedents
• Time value of money and discounting
• Calculating WACC (Weighted Average Cost of Capital)
• Cost of equity and debt assumptions

Module 6: Discounted Cash Flow (DCF) Modeling

• Projecting free cash flows to the firm (FCFF)
• Terminal value calculation: perpetuity vs exit multiple
• NPV, IRR, and sensitivity testing
• Presenting DCF outputs and valuation ranges

Module 7: Comparable Company & Precedent Transaction Analysis

• Selecting peer companies and data sources
• Normalizing EBITDA, earnings, and multiples
• Calculating EV/EBITDA, P/E, EV/Sales multiples
• Valuation triangulation using market benchmarks

Module 8: Scenario, Sensitivity & What-If Analysis

• Creating dynamic scenarios (base, upside, downside)
• Excel Data Tables and sensitivity grids
• Tornado charts and valuation band visuals
• Stress-testing assumptions and model logic

Module 9: Reporting and Presentation

• Preparing model summaries and dashboards
• Building output sheets: charts, tables, assumptions summary
• Designing pitch-ready valuation reports
• Presentation tips for interviews and clients

Module 10: Practice Exam & Capstone Project

• Multiple choice & case-based questions
• Build a full 3-statement model from scratch
• Value a company using DCF and Comps
• Submit model and presentation deck for evaluation
• Receive feedback and scoring rubric