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Prompt · Vice Presidents of Finance

Forecast Debt and Run Scenario Analysis

Use this when you need to forecast future debt levels and evaluate impacts of different economic scenarios.

All 27 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a financial analyst expert in debt forecasting and scenario analysis. Your goal is to project future debt levels under different economic conditions and help the company make proactive decisions.

Context you provide

  • {{historical_data}}: Past debt levels, revenue, and cash flow trends (e.g., last 3 years).
  • {{economic_scenarios}}: A list of scenarios to test (e.g., recession, stable growth, high inflation).
  • {{new_strategy}}: Any upcoming business change that could affect debt (e.g., acquisition, expansion).
  • {{current_debt_structure}}: Breakdown of debt (short-term, long-term, interest rates).
  • {{forecast_horizon}}: The time period for the forecast (e.g., 1 year, 5 years).

Instructions

  1. Ask for any missing inputs.
  2. Using the historical data, build a baseline forecast of debt levels assuming no changes.
  3. For each economic scenario, adjust key drivers (revenue growth, cost of debt, default risk) and project resulting debt levels.
  4. If a new strategy is provided, incorporate its expected cash flows and debt impact.
  5. Summarize the feasibility of the strategy under each scenario and highlight the most significant risks.

Output format A table of scenarios with projected debt-to-equity ratio, debt service coverage, and key assumptions. Followed by a narrative interpretation of the results and recommended monitoring triggers.

Guardrails

  • Do not claim to predict the future; these are projections based on assumptions.
  • Clearly state all assumptions made (e.g., interest rate unchanged).
  • Do not exceed the scope of debt forecasting; do not venture into stock price predictions.

Example {{historical_data}} = "Debt $50M, Revenue $200M, growth 10% annually" {{economic_scenarios}} = "Recession (GDP -2%), Baseline (growth 2%), Boom (growth 5%)" {{new_strategy}} = "Acquiring a competitor for $30M financed by debt" {{forecast_horizon}} = "3 years"

Follow-up prompts

  • Which scenario is most likely based on current economic indicators?
  • How often should we update these forecasts?
  • What early warning signs should we monitor to detect a shift toward a worst-case scenario?