managing-derivatives-portfolio-risk

Structures derivatives portfolio risk with Greek sensitivities, scenario analysis, and hedging strategies. Use when managing derivatives risk, analyzing Greek exposures, or designing hedge strategies.

11 stars

Best use case

managing-derivatives-portfolio-risk is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Structures derivatives portfolio risk with Greek sensitivities, scenario analysis, and hedging strategies. Use when managing derivatives risk, analyzing Greek exposures, or designing hedge strategies.

Teams using managing-derivatives-portfolio-risk should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/managing-derivatives-portfolio-risk/SKILL.md --create-dirs "https://raw.githubusercontent.com/CaseMark/skills/main/skills/finance/managing-derivatives-portfolio-risk/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/managing-derivatives-portfolio-risk/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How managing-derivatives-portfolio-risk Compares

Feature / Agentmanaging-derivatives-portfolio-riskStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Structures derivatives portfolio risk with Greek sensitivities, scenario analysis, and hedging strategies. Use when managing derivatives risk, analyzing Greek exposures, or designing hedge strategies.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Managing Derivatives Portfolio Risk

Structures derivatives portfolio risk reporting around Greek sensitivities, scenario analysis, and hedging strategies for options, swaps, and structured products portfolios.

## When To Use

- Producing a periodic (daily/weekly) derivatives risk report for portfolio managers or risk committees
- Analyzing aggregate Greek exposures (delta, gamma, vega, theta, rho) across a multi-asset derivatives book
- Designing or evaluating hedge overlays to neutralize specific risk dimensions
- Running stress/scenario analysis on a derivatives portfolio ahead of major events (earnings, FOMC, expiry clusters)
- Assessing P&L attribution driven by Greeks versus residual/unexplained moves

## Inputs To Gather

- **Position data**: Instrument type (vanilla options, exotics, swaps, swaptions, structured notes), underlier, notional, strike/barrier levels, expiry dates, and direction (long/short)
- **Market data snapshot**: Spot/forward prices, implied volatility surfaces, yield curves, dividend schedules, correlation matrices
- **Greek sensitivities**: Position-level and portfolio-level delta, gamma, vega, theta, rho; cross-Greeks (vanna, volga/vomma, charm) where material
- **Risk limits**: Approved thresholds for each Greek at desk, strategy, and portfolio level
- **Scenario definitions**: Standard shocks (e.g., underlier +/- 5%, 10%; vol +/- 5 vols; rate +/- 25 bps, 50 bps) and event-specific scenarios
- **Hedge instruments available**: Liquid hedging vehicles, cost constraints, execution limits
- **Pricing model details**: Model type (Black-Scholes, local vol, stochastic vol, SABR) and key calibration parameters [VERIFY model governance and approved model list per desk policy]

## Workflow

1. **Aggregate Greek exposures**
   - Roll up position-level Greeks to strategy, asset class, and portfolio level
   - Distinguish linear Greeks (delta, rho) from convexity Greeks (gamma, vanna) and volatility Greeks (vega, volga)
   - Identify concentrations: large single-name exposures, expiry clusters, strike pinning risk

2. **Assess limit utilization**
   - Compare each Greek against approved risk limits at every aggregation level
   - Flag breaches and near-breaches (e.g., >80% utilization) with breach magnitude and duration
   - Note any temporary limit extensions or waivers in effect [VERIFY current limit framework with risk management]

3. **Run scenario and stress analysis**
   - Apply standard shock grids: underlier moves vs. vol moves (delta-vega matrix), rate curve shifts
   - Run named scenarios: flash crash, vol spike, curve inversion, liquidity freeze
   - Compute portfolio P&L impact under each scenario, decomposed by Greek contribution
   - Highlight non-linear payoff cliffs — areas where small additional moves cause disproportionate losses (negative gamma pockets, barrier proximity)

4. **Design or evaluate hedging strategy**
   - Identify the dominant risk dimension to hedge first (typically the largest limit breach or highest scenario loss driver)
   - Propose hedge trades with instrument, size, and expected Greek offset
   - Estimate hedge cost: premium outlay, carry (theta drag), bid-ask slippage, margin impact
   - Assess residual risk post-hedge — confirm no new secondary exposures introduced (e.g., hedging vega with options adds gamma)
   - For cross-asset books, evaluate correlation-based hedges and note basis risk [VERIFY correlation assumptions against recent realized data]

5. **Compile risk report**
   - Present a Greek summary table (portfolio-level and by strategy/asset class)
   - Include scenario P&L heatmap (underlier shock x vol shock matrix)
   - Show limit utilization dashboard with traffic-light indicators
   - Summarize recommended hedging actions with cost/benefit analysis
   - Note key risk themes: upcoming expiries, illiquid positions, model risk concerns

## Output

A derivatives portfolio risk report containing:

- **Greek exposure summary**: Table showing delta, gamma, vega, theta, rho (and material cross-Greeks) at portfolio and sub-portfolio level, with units clearly stated (e.g., delta in equivalent shares or notional, gamma in dollar-gamma per 1% move, vega in P&L per 1 vol point)
- **Limit utilization dashboard**: Current exposure vs. limit for each Greek, with breach flags
- **Scenario analysis grid**: P&L estimates under defined stress scenarios with Greek-level decomposition
- **Hedging recommendations**: Specific trades, expected cost, and projected post-hedge risk profile
- **Risk commentary**: Narrative highlighting top 3-5 risk themes, action items, and escalation points

## Quality Checks

- Greeks are internally consistent: delta-hedged portfolio should show near-zero delta; gamma sign should align with option position direction (long options = long gamma)
- Scenario P&L results cross-check against Greek approximations (first-order delta*dS + second-order 0.5*gamma*dS^2 should approximate scenario results for moderate moves)
- Hedge notionals are realistic relative to market liquidity — flag any hedge that exceeds 10% of average daily volume in the instrument [VERIFY liquidity thresholds per asset class]
- No stale market data: confirm all vol surfaces and curves are from the same valuation timestamp
- Verify that exotic positions use the correct pricing model and that Greeks are bumped numerically (not analytically) where closed-form Greeks are unreliable [VERIFY model validation status]
- Report units and sign conventions are consistent throughout (e.g., long vega is positive, theta decay is negative for long options)
- All limit breaches have corresponding action items or documented risk acceptance

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