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Wshobson risk metrics calculation

Skill ItamarZand88/awesome-agent-conventions/conventions/skill-md/examples/domain-specific-niche/wshobson-risk-metrics-calculation

A curated guide to convention files AI agents read, write, and act on: AGENTS.md, CLAUDE.md, SKILL.md, llms.txt, MCP configs, rules, and examples.From the repository description

Install
npx -y skills add ItamarZand88/awesome-agent-conventions --skill wshobson-risk-metrics-calculation

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

2.1 KB, 504 tokens by cl100k_base, as published. Nobody here has run it

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name: risk-metrics-calculation description: 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.

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

CategoryMetricsUse Case
VolatilityStd Dev, BetaGeneral risk
Tail RiskVaR, CVaRExtreme losses
DrawdownMax DD, CalmarCapital preservation
Risk-AdjustedSharpe, SortinoPerformance

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

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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