managing-concentration-risk

Identifies and monitors portfolio concentration across counterparties, sectors, geographies, and instruments. Use when analyzing concentration risk, setting exposure limits, or monitoring concentration breaches.

11 stars

Best use case

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

Identifies and monitors portfolio concentration across counterparties, sectors, geographies, and instruments. Use when analyzing concentration risk, setting exposure limits, or monitoring concentration breaches.

Teams using managing-concentration-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-concentration-risk/SKILL.md --create-dirs "https://raw.githubusercontent.com/CaseMark/skills/main/skills/finance/managing-concentration-risk/SKILL.md"

Manual Installation

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

How managing-concentration-risk Compares

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

Frequently Asked Questions

What does this skill do?

Identifies and monitors portfolio concentration across counterparties, sectors, geographies, and instruments. Use when analyzing concentration risk, setting exposure limits, or monitoring concentration breaches.

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 Concentration Risk

## When To Use

- Evaluating single-name, sector, geographic, or instrument-type exposures against internal limits or regulatory thresholds
- Setting or recalibrating concentration limits for a new portfolio, fund, or business line
- Responding to a limit breach or near-breach event requiring root-cause analysis and remediation
- Preparing board or risk-committee reporting on portfolio diversification posture
- Stress-testing concentration scenarios (e.g., top-5 counterparty default, sector downturn, sovereign event)

## Inputs To Gather

- **Position data**: Current holdings by counterparty, issuer, sector (GICS/ICB), country/region, asset class, and instrument type
- **Exposure metrics**: Gross and net exposures, notional values, mark-to-market, potential future exposure (PFE) where applicable
- **Limit framework**: Existing concentration limits (absolute dollar, percentage of NAV/capital, risk-contribution-based) and any regulatory caps [VERIFY — limits vary by entity type: bank, broker-dealer, insurance company, fund]
- **Correlation and netting data**: Legal netting agreements, collateral held, hedging positions that offset concentration
- **Benchmark or peer data**: Target allocation weights, index composition, or peer-group concentration statistics for comparison
- **Historical breach log**: Prior limit exceedances, waivers granted, and remediation timelines

## Workflow

1. **Map the concentration dimensions**
   - Segment the portfolio across key axes: single-name/counterparty, sector, geography, currency, maturity bucket, instrument type, and rating band
   - Identify connected exposures — aggregate entities under common parent (ultimate-beneficial-owner roll-up) and linked sectors

2. **Compute concentration metrics**
   - Calculate Herfindahl-Hirschman Index (HHI) or equivalent diversification score per dimension
   - Derive top-N exposure shares (e.g., top-1, top-5, top-10 as % of total portfolio or capital)
   - Compute risk-contribution-based concentration using VaR, CVaR, or stress-loss attribution where data supports it
   - Flag any single-name exposure exceeding the large-exposure threshold [VERIFY — e.g., 10% of Tier 1 capital for banks under Basel framework; different for insurance or fund vehicles]

3. **Compare against limits and benchmarks**
   - Map each metric to the applicable internal limit, regulatory cap, or investment-policy guideline
   - Classify status: green (within limit), amber (within warning band, typically 80-90% of limit), red (at or above limit)
   - Where no formal limit exists, benchmark against peer medians or index weights and note the gap

4. **Analyze breaches and near-breaches**
   - For any red or amber status: identify driver (new position, market-move-driven, counterparty upgrade/downgrade, M&A-driven sector reclassification)
   - Determine whether breach is passive (market-driven) or active (trade-driven) — remediation urgency differs
   - Document any existing waivers, temporary limit increases, or approved exception windows

5. **Formulate remediation and monitoring plan**
   - Propose specific actions: position reduction schedule, hedge overlay, limit recalibration, or formal waiver request
   - Set monitoring frequency — daily for active breaches, weekly for amber items, monthly/quarterly for routine review
   - Define escalation path: portfolio manager → CRO → risk committee → board, depending on severity

6. **Produce the concentration risk report**
   - Compile dashboard with heat maps or tables per dimension, trend lines (current vs. prior periods), and limit-utilization gauges
   - Summarize key findings, material breaches, and recommended actions in an executive narrative

## Output

- **Concentration risk dashboard**: Table or heat map showing exposure by dimension, limit, current utilization %, and RAG status
- **Top-N exposure schedule**: Ranked list of largest exposures with counterparty/sector/country, notional, % of portfolio, and limit headroom
- **HHI / diversification scores**: Per-dimension index values with trend vs. prior period
- **Breach register**: Each breach with driver classification, date identified, remediation action, target cure date, and responsible owner
- **Executive summary**: 1-page narrative for risk committee covering material concentrations, limit changes proposed, and forward-looking stress scenarios

## Quality Checks

- Confirm position data is as-of a consistent date and reconciles to official books and records
- Verify ultimate-parent roll-ups are current — stale corporate-hierarchy data inflates or masks concentration
- Cross-check that limit definitions match the approved risk-appetite statement or investment-policy document [VERIFY]
- Ensure gross vs. net exposure treatment is consistent and any netting applied is backed by enforceable legal agreements
- Validate that regulatory concentration thresholds referenced match the applicable jurisdiction and entity charter [VERIFY — Basel large-exposure framework, SEC diversification rules for RICs, Solvency II for insurers]
- Confirm stress scenarios reflect plausible tail events, not just historical replays
- Flag any dimension where data coverage is incomplete (e.g., look-through into fund-of-fund holdings not available) with [VERIFY]

Related Skills

We are still matching the closest adjacent skills for this page. In the meantime, continue through the full directory.