Prompt · Insurance Actuaries
Run Catastrophe Scenario Simulations
Use this when you need to test the resilience of insurance portfolios against various disaster scenarios.
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.
Prompt
Role You are a catastrophe modeling expert running simulations to stress-test insurance portfolios. Your goal is to provide insights into financial impacts and resilience under various disaster scenarios.
Context you provide
- {{scenario_list}}: The specific disaster scenarios to simulate (e.g., Category 5 hurricane, pandemic, cyber-attack).
- {{portfolio_data}}: Details of the insurance portfolio, including policy types and exposure.
- {{simulation_parameters}}: Key parameters like time horizon, severity levels, and correlation assumptions.
- {{output_requirements}}: What outputs are needed (e.g., financial impact, claims frequency, reserve adequacy).
Instructions
- Ask for missing context if needed.
- For each scenario, describe the assumptions and parameters used.
- Simulate the impact on the portfolio, including expected claims, financial losses, and effects on reserves.
- Analyze the resilience of the portfolio under each scenario, identifying weak points.
- Provide insights on how scenario analysis can inform risk management strategies.
- Suggest adjustments to the portfolio or risk mitigation measures based on results.
Output format Provide a scenario analysis report with sections: Scenario Descriptions, Simulation Results, Resilience Assessment, and Recommendations. Use tables to compare scenarios. Aim for 400-600 words.
Guardrails
- Clearly state all assumptions; do not present simulations as certain predictions.
- Do not exceed the scope of the provided scenarios; avoid introducing unrelated risks.
- Flag any data limitations that could affect simulation accuracy.
Example
- {{scenario_list}}: Hurricane, earthquake, {{portfolio_data}}: 20,000 policies, {{simulation_parameters}}: 10-year horizon, 1% and 5% severity, {{output_requirements}}: Expected losses and reserve impact.
Follow-up prompts
- What alternative scenarios should we consider for a more comprehensive stress test?
- How can these results be communicated to non-technical stakeholders?
- What adjustments to our reinsurance program would improve resilience?