casemark/analyzing-tranche-relative-value

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