Structures high-yield credit analysis with recovery rate estimation and distressed debt evaluation. Use when analyzing high-yield bonds, estimating recovery rates, or evaluating distressed credits.
Scanned 9/12/2026
Install to Claude Code
npx -y skills add CaseMark/skills --skill analyzing-high-yield-credit --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Analyzing High Yield Credit?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/casemark-analyzing-high-yield-credit)More formats (shields.io, HTML) on the badges page.
---
name: analyzing-high-yield-credit
language: en
description: Structures high-yield credit analysis with recovery rate estimation and distressed debt evaluation. Use when analyzing high-yield bonds, estimating recovery rates, or evaluating distressed credits.
tags:
- analysis
- fixed-income
- credit
- valuation
metadata:
author: casemark
practice_areas:
- Fixed Income
- Credit Research
- Bond Trading
document_types:
- Analysis Report
skill_modes:
- Analysis
---
# Analyzing High Yield Credit
## When To Use
- Evaluating a new-issue high-yield bond for purchase or pass
- Reassessing an existing holding after a credit event, earnings miss, or covenant breach
- Estimating recovery rates for distressed or defaulted debt
- Comparing relative value across high-yield issuers within the same sector
- Building a credit opinion to support a trade recommendation (long, short, or hedged)
## Inputs To Gather
- **Issuer financials**: Last 3 years of income statements, balance sheets, and cash flow statements; most recent interim period
- **Capital structure**: Full debt stack with seniority, maturity dates, coupon rates, call schedules, and outstanding amounts
- **Bond terms**: Indenture highlights — covenants (incurrence vs. maintenance), restricted payments baskets, change-of-control provisions, permitted liens
- **Industry context**: Sector fundamentals, competitive positioning, cyclicality, and comparable issuer spreads
- **Market data**: Current bid/ask, OAS, yield-to-worst, CDS spreads (if available), and recent trading volume
- **Rating agency reports**: Current ratings and outlooks from Moody's/S&P/Fitch; any recent rating actions [VERIFY availability per issuer]
- **Event catalysts**: Pending M&A, litigation, regulatory changes, refinancing windows, or maturity walls
## Workflow
1. **Map the capital structure**
- Rank all debt obligations by seniority: secured → senior unsecured → subordinated → mezzanine → preferred equity
- Note any structural subordination from operating-company vs. holding-company debt
- Calculate total leverage, secured leverage, and net leverage ratios
- Identify nearest maturity and any springing maturities or cross-default triggers
2. **Assess credit fundamentals**
- Compute key ratios: Debt/EBITDA, Interest Coverage (EBITDA/Interest), FCF/Debt, Fixed Charge Coverage
- Normalize EBITDA for one-time items; flag add-backs exceeding 15% of reported EBITDA as aggressive [VERIFY add-back legitimacy]
- Evaluate revenue concentration (customer, geography, product) and margin trajectory
- Stress-test cash flows under a downside scenario (e.g., 20% EBITDA decline) and check covenant headroom
3. **Analyze covenants and structural protections**
- Classify covenant package strength: tight (maintenance-based with restricted baskets) vs. covenant-lite (incurrence-only)
- Identify leakage risk: permitted investment baskets, unrestricted subsidiary designations, collateral release provisions
- Flag any J. Crew / Chewy-style trapdoor provisions that allow asset stripping [VERIFY against actual indenture language]
4. **Estimate recovery in a default scenario**
- Select recovery methodology: enterprise-value waterfall approach for going-concern or liquidation analysis for asset-heavy issuers
- For enterprise-value waterfall: apply a distressed EBITDA multiple (typically 4x-6x for HY, sector-dependent) to estimate firm value, then distribute per the priority-of-claims stack [VERIFY appropriate multiples for the sector]
- For liquidation: haircut assets by category — cash (100%), receivables (70-85%), inventory (50-70%), PP&E (30-60%), intangibles (0-20%) [VERIFY against industry-specific benchmarks]
- Compute recovery rate per tranche and implied loss-given-default (LGD)
5. **Perform relative value assessment**
- Compare OAS and yield-to-worst against same-rating/same-sector peers
- Assess spread compensation relative to estimated default probability and recovery rate
- Calculate breakeven spread widening: how much can spreads widen before total return turns negative over the holding period?
- Consider optionality: if bond is callable, compute yield-to-call vs. yield-to-worst and assess likelihood of early redemption
6. **Form credit opinion and recommendation**
- Summarize the bull case, bear case, and base case with probability weightings
- State a clear directional view: overweight / market-weight / underweight, or buy / hold / sell
- Identify key monitoring triggers that would change the recommendation (e.g., leverage above Xх, loss of a key customer, downgrade watch)
## Output
The analysis report should include:
- **Executive summary**: One-paragraph credit opinion with recommendation and target spread/price
- **Capital structure table**: All tranches with seniority, size, coupon, maturity, current price, YTW, and OAS
- **Credit metrics dashboard**: Leverage, coverage, and liquidity ratios with trend (improving/stable/deteriorating)
- **Recovery analysis**: Waterfall table showing estimated recovery per tranche under base and stress scenarios
- **Relative value snapshot**: Spread comparison vs. 3-5 closest comps with brief rationale for any premium or discount
- **Risk factors**: Ranked list of material risks with estimated probability and impact
- **Monitoring triggers**: Specific thresholds or events that warrant immediate re-evaluation
## Quality Checks
- All leverage and coverage ratios tie back to sourced financials — no orphan numbers
- Recovery waterfall sums correctly and respects strict priority (no value leakage past senior claims unless surplus exists)
- Covenant analysis references actual indenture terms, not generic descriptions
- Spread and yield data are date-stamped; stale pricing (>2 business days) is flagged
- Downside stress scenario is plausible and internally consistent (e.g., EBITDA decline flows through to FCF and coverage ratios)
- Any assumed EBITDA multiples, haircut rates, or default probabilities are labeled with source or marked [VERIFY]
- Recommendation is consistent with the analysis — no disconnect between bearish fundamentals and a buy recommendation without explicit justification
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!