analyzing-tranche-relative-value

Evaluates structured product tranche pricing with spread analysis, yield attribution, and comparable structure benchmarking. Use when assessing tranche value, comparing structured product pricing, or analyzing spread components.

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Best use case

analyzing-tranche-relative-value is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Evaluates structured product tranche pricing with spread analysis, yield attribution, and comparable structure benchmarking. Use when assessing tranche value, comparing structured product pricing, or analyzing spread components.

Teams using analyzing-tranche-relative-value 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/analyzing-tranche-relative-value/SKILL.md --create-dirs "https://raw.githubusercontent.com/CaseMark/skills/main/skills/capital/analyzing-tranche-relative-value/SKILL.md"

Manual Installation

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

How analyzing-tranche-relative-value Compares

Feature / Agentanalyzing-tranche-relative-valueStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Evaluates structured product tranche pricing with spread analysis, yield attribution, and comparable structure benchmarking. Use when assessing tranche value, comparing structured product pricing, or analyzing spread components.

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

# Analyzing Tranche Relative Value

## When To Use

- Evaluating new-issue tranche pricing against secondary market comparables
- Comparing spread levels across tranches within a single deal capital structure
- Assessing whether a tranche offers adequate compensation for its risk position (credit enhancement, WAL, subordination)
- Benchmarking CLO, ABS, RMBS, or CMBS tranches against peer deals, index levels, or corporate credit alternatives
- Supporting buy/sell/hold decisions on structured product positions

## Inputs To Gather

- **Deal documents**: Offering circular/supplement, waterfall description, collateral summary
- **Tranche specifics**: Rating, coupon type (fixed/floating), spread at issuance, credit enhancement level, expected WAL, payment window
- **Collateral profile**: Asset class, weighted-average coupon, WALA/WARM, delinquency and loss assumptions, concentration limits
- **Comparable pricing**: Recent new-issue spreads for same asset class, rating, and tenor; secondary bid/offer levels; dealer color sheets
- **Benchmark references**: SOFR swap curve, interpolated Treasury yields, relevant index levels (e.g., Palmer Square CLO index, ABX, CMBX) [VERIFY: confirm current benchmark conventions for the specific asset class]
- **Structural features**: Step-down triggers, turbo amortization provisions, optional redemption/call features, reinvestment period terms

## Workflow

1. **Map the capital structure** — Lay out all tranches from senior to equity: rating, size, spread/coupon, credit enhancement, and expected WAL. Calculate the cost-of-funds stack and excess spread available to subordinate tranches.

2. **Decompose the spread** — Break each tranche's nominal spread into component drivers:
   - **Expected loss compensation**: Modeled credit losses allocated to the tranche under base, stress, and rating-agency scenarios
   - **Liquidity premium**: Bid/ask width, dealer inventory depth, repo-ability, index eligibility
   - **Structural complexity premium**: Waterfall optionality, extension risk, prepayment variability, trigger proximity
   - **Residual/pure spread**: Compensation beyond quantifiable risk factors

3. **Run comparable analysis** — Identify 3-5 recent deals with similar collateral, vintage, and structural features. Normalize for differences in:
   - Credit enhancement levels (higher CE should trade tighter, all else equal)
   - WAL and duration profile
   - Sponsor/servicer quality and track record
   - Collateral composition (e.g., prime vs. non-prime, static vs. revolving)

4. **Assess cross-market value** — Compare the tranche spread to:
   - Same-rated corporate bonds at comparable duration
   - Other structured product sectors at the same rating tier
   - Historical spread range for this tranche type (percentile ranking over 1yr/3yr/5yr windows)

5. **Evaluate structural protections** — Determine whether the tranche's position in the waterfall justifies the spread:
   - Distance to trigger breach under stress scenarios
   - Sensitivity of WAL to prepayment speed changes (PSA multiples or CPR scenarios for MBS; CDR/CPR for CLOs)
   - Overcollateralization and interest coverage cushion trajectories over time
   - Call risk and reinvestment period impact on effective yield [VERIFY: confirm call provisions and exercise incentives for the specific deal type]

6. **Synthesize relative value conclusion** — Assign a relative value assessment (rich / fair / cheap) supported by quantified spread differential versus comparables and historical context.

## Output

Structure the analysis report with:

- **Executive Summary**: Asset class, tranche identifier, rating, spread, and relative value conclusion in 2-3 sentences
- **Capital Structure Overview**: Table of all tranches with key metrics (rating, size, spread, CE, WAL)
- **Spread Decomposition**: Breakdown of nominal spread into component drivers with estimated basis-point attribution
- **Comparable Deal Matrix**: Table of 3-5 peer tranches with normalized spread comparison and key differentiating factors
- **Cross-Market Context**: Chart or table showing the tranche versus same-rated corporate and other structured product alternatives
- **Structural Risk Assessment**: Summary of waterfall stress results, trigger cushions, and extension/call scenarios
- **Recommendation**: Rich/fair/cheap determination with supporting spread basis and identified catalysts or risks to the view

## Quality Checks

- Confirm all spread quotes are as-of the same date and use the same benchmark convention (DM to SOFR, Z-spread, I-spread) [VERIFY: benchmark convention varies by asset class and market]
- Verify credit enhancement percentages are calculated consistently (as % of current balance vs. original balance)
- Ensure comparable deals are genuinely comparable — same asset class, similar vintage, and structural form
- Check that WAL assumptions align with the prepayment/default scenarios used for the comparables
- Validate that any rating-agency model outputs cited match the current methodology version [VERIFY: rating agency criteria updates may affect tranche-level analysis]
- Flag any tranche where the spread decomposition leaves a residual exceeding 30% of nominal spread — this suggests missing risk factors or mispricing worth investigating
- Confirm liquidity assessment reflects actual market conditions (dealer axes, recent BWIC/OWIC results) rather than theoretical assumptions

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