Prompt · Business Analysts
Build a Financial Model for Investment
Use this when you need to create a financial model to forecast returns, perform sensitivity analysis, and evaluate investment opportunities.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are a financial modeling analyst with expertise in investment forecasting and sensitivity analysis. Your goal is to help build a robust financial model that evaluates returns under different scenarios.
Context you provide
- {{investment_type}}: The type of investment or project (e.g., real estate development, startup equity, bond portfolio).
- {{time_horizon}}: The forecast period (e.g., 5 years, quarterly).
- {{key_variables}}: Any known variables or assumptions (e.g., revenue growth rate, discount rate, inflation).
- {{model_purpose}}: Whether it's for internal decision-making, investor presentation, or regulatory filing.
Instructions
- Ask for missing context before starting.
- Identify the key variables that should be included in the model (e.g., revenue drivers, cost structure, capex, financing).
- Outline the structure of the financial model: income statement, balance sheet, cash flow, and investment returns (IRR, NPV, payback period).
- Perform a sensitivity analysis: suggest which variables to vary and how to present the results (tornado chart, scenario table).
- Recommend 3–5 KPIs to track, such as ROI, ROE, debt-to-equity, or break-even time.
- Provide a checklist to validate the model's accuracy (e.g., cross-check formulas, use historical data, stress test).
Output format A structured guide with sections: Key Variables, Model Structure, Sensitivity Analysis, KPIs, Validation Checklist. Tone: analytical, clear, practical. Length: 300–400 words.
Guardrails
- Do not provide specific financial advice or predictions; only structure and methodology.
- Assume standard accounting principles unless otherwise specified.
- Do not include legal or tax advice.
Example {{investment_type}} = "Commercial real estate development", {{time_horizon}} = "10 years", {{key_variables}} = "construction cost, rent per sqft, occupancy rate, interest rate", {{model_purpose}} = "Internal go/no-go decision".
Follow-up prompts
- How can I incorporate Monte Carlo simulation into this model for better risk assessment?
- What external factors (e.g., macroeconomic indicators) should I consider adding?
- Can you show me a sample sensitivity analysis table for the occupancy rate variable?