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wshobson on GitHub

Risk Metrics Calculation

Free

Measure and analyze portfolio risk effectively.

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Free · Opens the source repo

What Risk Metrics Calculation does

The Risk Metrics Calculation skill provides a comprehensive toolkit for measuring various risk metrics essential for effective portfolio management. It includes calculations for Value at Risk (VaR), Conditional Value at Risk (CVaR), Sharpe Ratio, Sortino Ratio, and drawdown analysis. This skill is particularly useful for financial analysts, portfolio managers, and risk management professionals who need to assess and monitor the risk associated with investment portfolios. By employing multiple metrics, users can gain a more nuanced understanding of their portfolio's risk profile.

The skill categorizes risk metrics into four main areas: volatility, tail risk, drawdown, and risk-adjusted returns. Each category serves a specific purpose, such as assessing general risk, extreme loss potential, capital preservation, and performance evaluation. Users can apply these metrics across different time horizons, from intraday assessments for day traders to annual evaluations for strategic allocation decisions. This flexibility allows for tailored risk analysis that aligns with specific investment strategies and objectives.

To maximize the effectiveness of this skill, best practices are encouraged, such as using a combination of metrics to capture a broader risk landscape and conducting rolling analyses to adapt to changing market conditions. Additionally, stress testing and documenting assumptions are vital for ensuring that risk assessments are robust and reliable. By following these guidelines, users can implement effective risk limits and build comprehensive risk monitoring systems that enhance decision-making in portfolio management.

When to use it

Use this skill when you need to measure portfolio risk, implement risk limits, or build risk monitoring systems.

When not to use it

This skill may not be suitable for users seeking real-time trading signals or those who require advanced predictive modeling capabilities.

What you can build with it

Portfolio Risk Assessment

Evaluate the risk of your investment portfolio using multiple metrics to make informed decisions.

Regulatory Compliance

Calculate required risk metrics for compliance with financial regulations and reporting standards.

Performance Evaluation

Analyze risk-adjusted returns to assess the effectiveness of your investment strategies.

How to install Risk Metrics Calculation

View source

1. Install with the skills CLI

npx skills add wshobson/agents/risk-metrics-calculation --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by wshobson

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

Frequently asked questions about Risk Metrics Calculation

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