Units
1. Introduction to Artificial Intelligence in Finance and the Verification Discipline 2. Reading and Interpreting Financial Statements 3. Ratio Analysis and Performance Evaluation 4. Budgeting and Cash Flow Management 5. Financial Modelling, Scenario and Sensitivity Analysis 6. Valuation Support: DCF and Multiples 7. Investment and Portfolio Analysis 8. Risk Analysis and Early Warning Reporting 9. Financial Forecasting 10. Management Report and Presentation Production 11. Automation: Excel, Formula and Macro Generation 12. Limits of AI in Finance: Hallucination, Privacy and Regulation
Unit 9 / 12

Financial Forecasting

Gains:

  • Ability to select and justify the appropriate method and assumptions for revenue, expense and demand forecasting with AI
  • Ability to combine trend, seasonality and growth assumptions in an AI-powered forecast
  • Ability to test the reasonableness of AI's predictions by backtesting them with historical data
Previous Next