Financial Modelling for Investment Analysis Training Course

This course equips participants with the skills to design, build, and apply financial models for evaluating investments. It covers practical modeling techniques, investment valuation methods, and scenario analysis to support strategic decision-making. Participants will learn to structure models in Excel, apply key financial metrics, and interpret results for equity, debt, and project investments. The training emphasizes best practices and real-world case studies to ensure accuracy, flexibility, and transparency in financial models.

Target Groups

• Investment analysts and portfolio managers
• Corporate finance professionals
• Equity research analysts
• Risk management and strategy teams
• Private equity and venture capital professionals
• Accountants and auditors specializing in finance
• Students pursuing careers in investment banking and financial modeling

Course Objectives

By the end of this course, participants will be able to:

1. Understand the role and importance of financial modeling in investment analysis.
2. Build robust financial models using Excel.
3. Apply key valuation techniques (DCF, multiples, comparables).
4. Incorporate sensitivity and scenario analysis in decision-making.
5. Forecast revenues, costs, and cash flows accurately.
6. Evaluate investment opportunities using IRR, NPV, and Payback Period.
7. Structure models for equity, debt, and project finance analysis.
8. Apply best practices in model design, structure, and documentation.
9. Test assumptions and perform stress testing.
10. Present and interpret investment analysis results effectively.

Course Modules

Module 1: Introduction to Financial Modelling

• Purpose and applications of financial models
• Key principles of good modeling practice

Module 2: Excel Tools for Financial Modelling

• Advanced Excel functions for modeling
• Data validation, lookups, and dynamic ranges

Module 3: Structuring Financial Models

• Model architecture and design logic
• Linking assumptions, calculations, and outputs

Module 4: Forecasting Techniques

• Revenue and cost forecasting
• Working capital modeling
• Capital expenditure and depreciation schedules

Module 5: Valuation Techniques

• Discounted Cash Flow (DCF) method
• Multiples-based valuation
• Comparable company analysis

Module 6: Investment Appraisal Metrics

• NPV, IRR, and Payback Period
• Profitability Index and sensitivity analysis

Module 7: Scenario & Sensitivity Analysis

• What-if analysis
• Data tables and goal seek
• Stress testing key assumptions

Module 8: Equity & Debt Financing Models

• Leveraged buyout (LBO) models
• Debt service schedules
• Capital structure modeling

Module 9: Project Finance Modelling

• Cash flow waterfall modeling
• DSCR and LLCR calculations
• Risk-adjusted returns

Module 10: Presenting and Interpreting Results

• Building dashboards and summaries
• Communicating findings to stakeholders
• Best practices in reporting and model audit