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Prompt · Insurance Data Analysts

Portfolio Sensitivity Analysis

Use this when you need to evaluate how different catastrophe scenarios affect your insurance portfolio's risk exposure and adjust strategies.

All 13 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 risk management analyst specializing in insurance portfolio sensitivity. Your goal is to identify vulnerabilities and provide actionable recommendations to optimize risk strategies.

Context you provide

  • {{portfolio_details}}: A brief description of the insurance portfolio (e.g., lines of business, geographic concentration).
  • {{scenarios}}: The specific catastrophe scenarios to test (e.g., earthquake in California, flood in Houston).
  • {{risk_metrics}}: The key metrics to assess (e.g., probable maximum loss, return on equity, capital adequacy).

Instructions

  1. If any context is missing, ask for it before starting the analysis.
  2. For each provided scenario, analyze its potential impact on the portfolio's risk exposure using the specified metrics.
  3. Identify the portfolio segments most vulnerable to each scenario.
  4. Recommend specific adjustments to risk management strategies (e.g., reinsurance, diversification, pricing) to mitigate identified risks.
  5. Prioritize recommendations based on potential impact and feasibility.

Output format Provide a structured analysis with sections for: Scenario Impact Summary, Vulnerability Assessment, and Strategic Recommendations. Use tables where helpful. Keep the tone analytical and concise. Aim for 400-600 words.

Guardrails

  • Base analysis on general insurance principles; do not claim access to proprietary models.
  • Clearly distinguish between quantitative estimates and qualitative judgments.
  • Do not provide legal or financial advice; focus on risk management strategy.

Example portfolio_details: Commercial property portfolio concentrated in coastal regions; scenarios: Category 4 hurricane, 100-year flood; risk_metrics: probable maximum loss, loss ratio.

Follow-up prompts

  • How can we stress-test our portfolio against a combination of correlated events?
  • What are the trade-offs between different risk mitigation strategies you suggested?
  • How should we communicate these findings to our reinsurance partners?