risk-metrics-calculation
Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or building risk monitoring systems.
How do I install this agent skill?
npx skills add https://github.com/wshobson/agents --skill risk-metrics-calculationIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The skill is safe to use. It contains standard mathematical and statistical functions for calculating portfolio risk metrics using common Python libraries such as numpy, pandas, and scipy, with no indications of malicious behavior, data exfiltration, or prompt injection.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
- Runlayerpass
1 file scanned · No issues
- ZeroLeakspass
Score: 93/100 · 2 sections analyzed
What does this agent skill do?
Risk Metrics Calculation
Comprehensive risk measurement toolkit for portfolio management, including Value at Risk, Expected Shortfall, and drawdown analysis.
When to Use This Skill
- Measuring portfolio risk
- Implementing risk limits
- Building risk dashboards
- Calculating risk-adjusted returns
- Setting position sizes
- Regulatory reporting
Core Concepts
1. Risk Metric Categories
| Category | Metrics | Use Case |
|---|---|---|
| Volatility | Std Dev, Beta | General risk |
| Tail Risk | VaR, CVaR | Extreme losses |
| Drawdown | Max DD, Calmar | Capital preservation |
| Risk-Adjusted | Sharpe, Sortino | Performance |
2. Time Horizons
Intraday: Minute/hourly VaR for day traders
Daily: Standard risk reporting
Weekly: Rebalancing decisions
Monthly: Performance attribution
Annual: Strategic allocation
Detailed patterns and worked examples
Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.
Best Practices
Do's
- Use multiple metrics - No single metric captures all risk
- Consider tail risk - VaR isn't enough, use CVaR
- Rolling analysis - Risk changes over time
- Stress test - Historical and hypothetical
- Document assumptions - Distribution, lookback, etc.
Don'ts
- Don't rely on VaR alone - Underestimates tail risk
- Don't assume normality - Returns are fat-tailed
- Don't ignore correlation - Increases in stress
- Don't use short lookbacks - Miss regime changes
- Don't forget transaction costs - Affects realized risk
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/wshobson/agents/risk-metrics-calculation">View risk-metrics-calculation on skillZs</a>