Portfolio Catastrophe Risk Analyzer
Quantify portfolio catastrophe risk with scenario analysis and concentration metrics
What You Can Do
This skill systematically evaluates your portfolio's exposure to catastrophic events through concentrated risk analysis, multi-scenario stress testing, and data-driven positioning metrics. It produces executive summaries that quantify tail-risk exposure and recommend portfolio rebalancing actions based on statistical rigor. You can identify hidden correlations, model extreme market events, and communicate catastrophe risk exposure to stakeholders with clarity and precision.
Features
Identify hidden concentration points across sectors, geographies, asset classes, and correlated positions that amplify tail risk
Model portfolio performance under extreme market events (financial crisis, geopolitical shock, pandemic, market crash) with customizable parameters
Calculate Value-at-Risk (VaR), Expected Shortfall (ES), and maximum drawdown across confidence levels to quantify catastrophe exposure
Visualize exposure intensity across dimensions to spot concentration clusters and correlation breakdowns under stress
Access calibrated catastrophe scenarios (2008 crisis, COVID, 1987 crash, geopolitical conflict) with documented assumptions and correlations
Assess diversification effectiveness and model how correlations spike toward 1.0 during market dislocations and tail events
Generate one-page dashboards with key metrics, risk rankings, and actionable insights for board and stakeholder communication
Receive specific position-level recommendations to reduce catastrophe exposure while maintaining target allocation and constraints
Example Output
Example 1: Concentration Heatmap
Sector Concentration Risk
Technology: 28% (HIGH) — correlated with Fed rate moves
Financials: 22% (HIGH) — credit spread sensitivity
Healthcare: 12% (MODERATE)
Energy: 8% (LOW)
Other: 30% (DIVERSIFIED)
Top Correlation Clusters
Cluster A (Tech + Financial): 0.78 correlation → breaks down in risk-off
Cluster B (Energy + Defensive): 0.32 correlation → mild diversification
Example 2: Stress Test Results
Scenario: 2008 Financial Crisis (-50% market)
Current Portfolio Impact: -42.3% (vs -50% benchmark)
Drawdown Duration: 18 months to recovery
Worst Single Position: Tech holdings -65%
Best Hedge: Defensive/bonds +3%
Example 3: Executive Summary
Portfolio Risk Score: 7.2/10 (ELEVATED)
95% VaR (1-day): -$285K
99% VaR (1-day): -$450K
Max Historical Drawdown: -38%
Top 3 Risks
1. Tech concentration (28%) — single sector > 25% threshold
2. Low geographic diversification — 85% domestic exposure
3. Correlation spike risk — non-correlated assets become correlated in crises
Recommendation: Rebalance $300K from Tech into uncorrelated international diversifiers.
What's Included
- Concentration Analysis Module: Automated detection of hidden concentrations across sector, geography, asset class, and correlation dimensions
- Scenario Stress-Testing Engine: Multi-scenario framework with pre-built catastrophe models and ability to customize shock parameters and correlations
- Risk Metric Calculations: Value-at-Risk (VaR), Expected Shortfall (ES), Sharpe ratio, Sortino ratio, and maximum drawdown under stress scenarios
- Executive Summary Template: One-page risk dashboard with key metrics, concentration rankings, scenario impacts, and rebalancing recommendations
- Scenario Library: Pre-calibrated extreme event scenarios (2008 crisis, COVID, geopolitical conflict, market crash) with historical correlations
- Rebalancing Logic: Position-level recommendations to reduce catastrophe exposure while respecting portfolio constraints and allocations
Who It's For
- Portfolio Managers
- Chief Risk Officers
- Wealth and Investment Advisors
- Institutional Investors & Endowments
- Insurance Portfolio Managers
Best For
- Tail risk assessment and quantification
- Pre-trade concentration and stress analysis
- Regulatory stress testing and compliance reporting
- Portfolio rebalancing decisions
- Client risk communication and education
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