risk-management

Purpose

This skill enables quantitative analysis, modeling, and mitigation of financial risks. It processes data to calculate metrics like Value at Risk (VaR), stress testing, and suggests strategies to reduce exposure, such as hedging or diversification.

When to Use

Use this skill for scenarios involving financial uncertainty, like portfolio risk assessment, credit risk evaluation, or market volatility analysis. Apply it when you need data-driven insights to comply with regulations (e.g., Basel III) or optimize investment decisions.

Key Capabilities

• Perform VaR calculations using historical or Monte Carlo simulations.
• Build risk models for market, credit, or operational risks with inputs like asset prices or default probabilities.
• Generate mitigation strategies, such as recommending stop-loss levels or portfolio rebalancing based on risk thresholds.
• Integrate with data sources for real-time analysis, supporting formats like CSV, JSON, or API feeds.
• Output results in structured formats, including reports or JSON for further processing.

Usage Patterns

Always initialize with authentication via $OPENCLAW_API_KEY. For CLI, pipe data inputs directly; for API, use asynchronous calls for large datasets. Start by loading configuration files (e.g., YAML for model parameters). Common pattern: Analyze risk -> Review outputs -> Apply mitigation. For code integration, import the SDK and wrap calls in try-except blocks. Example 1: Analyze a stock portfolio's market risk by providing historical prices. Example 2: Evaluate credit risk for a loan portfolio and generate mitigation recommendations.