analyzing-credit-derivative-structures

Evaluates CDS, CDX, and bespoke credit derivative structures with spread analysis and credit event mechanics. Use when analyzing credit derivatives, pricing CDS, or evaluating index tranche products.

11 stars

Best use case

analyzing-credit-derivative-structures is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Evaluates CDS, CDX, and bespoke credit derivative structures with spread analysis and credit event mechanics. Use when analyzing credit derivatives, pricing CDS, or evaluating index tranche products.

Teams using analyzing-credit-derivative-structures 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-credit-derivative-structures/SKILL.md --create-dirs "https://raw.githubusercontent.com/CaseMark/skills/main/skills/capital/analyzing-credit-derivative-structures/SKILL.md"

Manual Installation

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

How analyzing-credit-derivative-structures Compares

Feature / Agentanalyzing-credit-derivative-structuresStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Evaluates CDS, CDX, and bespoke credit derivative structures with spread analysis and credit event mechanics. Use when analyzing credit derivatives, pricing CDS, or evaluating index tranche products.

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 Credit Derivative Structures

Evaluates CDS, CDX, and bespoke credit derivative structures with spread analysis and credit event mechanics.

## When To Use

- Pricing or re-marking single-name CDS contracts on corporate or sovereign reference entities
- Analyzing CDX or iTraxx index positions, including on-the-run vs. off-the-run roll dynamics
- Evaluating bespoke tranche opportunities (equity, mezzanine, senior) on synthetic CDO portfolios
- Assessing basis trades (CDS vs. cash bond spread) for relative-value positioning
- Reviewing credit event determination mechanics (failure to pay, restructuring, bankruptcy) and settlement protocols
- Hedging concentrated credit exposures with single-name or index overlays

## Inputs To Gather

- **Reference entity / obligation details**: entity name, ticker, RED code, reference obligation (bond CUSIP/ISIN), seniority (senior unsecured, subordinated), currency
- **Contract terms**: trade date, effective date, scheduled termination, notional amount, fixed coupon (100 bps or 500 bps standard), payment frequency, day-count convention (ACT/360)
- **Market data**: current CDS spread (mid), bid/ask, recovery rate assumption, credit curve term structure (1Y–10Y), ISDA benchmark quotes
- **Index details (if applicable)**: index series and version, on-the-run status, constituent list, factor (for partially defaulted indices), attachment/detachment points for tranches
- **Counterparty / CSA terms**: collateral thresholds, eligible collateral, minimum transfer amount, independent amounts
- **Credit event history**: any prior succession events, restructuring triggers, or ISDA DC determinations on the reference entity

## Workflow

1. **Identify product type and contract terms**
   - Classify as single-name CDS, index (CDX IG, CDX HY, iTraxx Europe, iTraxx Crossover), or bespoke tranche
   - Confirm ISDA documentation version (2003 vs. 2014 definitions) and applicable credit event types [VERIFY]
   - Note whether the contract uses Standard North American (SNA) or Standard European (SE) conventions

2. **Build or validate the credit curve**
   - Source CDS spreads across the term structure from dealer runs or market data vendors
   - Bootstrap hazard rates (default intensity) from quoted spreads using the ISDA Standard Model
   - Confirm recovery rate assumption — 40% for senior unsecured corporate, 25% for subordinated, 25% for sovereign (standard assumptions; adjust if market-implied recovery differs) [VERIFY]

3. **Price the contract / calculate mark-to-market**
   - Compute the risky PV of the premium leg (fixed coupon stream) and the contingent leg (protection payment upon credit event)
   - MTM = PV(contingent leg) − PV(premium leg) for the protection buyer; sign-flip for seller
   - For upfront-trading names (HY or distressed), convert running spread to upfront points using the ISDA Standard Model with the 500 bps fixed coupon
   - For index tranches, use a correlation model (Gaussian copula base correlation framework) to price attachment/detachment points

4. **Analyze spread dynamics and sensitivities**
   - CS01 (credit spread sensitivity): PV change per 1 bp parallel shift in the credit curve
   - CR01 (recovery rate sensitivity): PV change per 1% change in assumed recovery
   - Jump-to-default (JTD) exposure: loss upon immediate credit event net of recovery
   - Carry and roll-down: accrued premium income vs. expected curve roll over holding period
   - For index positions, decompose risk into systematic (index-level) and idiosyncratic (single-name) components

5. **Evaluate credit event mechanics**
   - Map applicable credit events under the contract's ISDA definitions: bankruptcy, failure to pay (with grace period and payment threshold), restructuring type (CR, MR, MMR, NR) [VERIFY]
   - Review ISDA Determinations Committee (DC) process for triggering credit events and auction settlement
   - For restructuring credit events, check maturity limitation dates and deliverable obligation characteristics
   - Assess physical vs. cash settlement protocols and deliverable obligation criteria (not bearer, not contingent, specified currencies)

6. **Assess basis and relative value (if applicable)**
   - Calculate CDS-bond basis: CDS spread minus asset-swap spread (or Z-spread) on the reference obligation
   - Identify drivers of basis (funding costs, repo availability, delivery option, counterparty risk, regulatory capital)
   - For negative basis trades, evaluate carry profile, financing cost, and unwind scenarios
   - For index vs. intrinsics, compare index spread to the notional-weighted average of constituent single-name spreads (skew)

7. **Review counterparty and operational risk**
   - Evaluate CSA terms: collateral posting frequency, dispute resolution, rehypothecation rights
   - Check for wrong-way risk (correlation between counterparty default and reference entity credit deterioration)
   - Confirm trade is cleared through a CCP (ICE Clear Credit, LCH) or bilateral, and note initial margin requirements [VERIFY]

## Output

- **Structure summary**: product type, reference entity, notional, tenor, coupon, documentation version
- **Valuation table**: current spread, upfront amount, MTM, accrued premium
- **Risk metrics**: CS01, CR01, JTD, DV01, carry/roll-down over 1M/3M/6M horizons
- **Credit event analysis**: applicable events, settlement type, key contractual triggers and thresholds
- **Basis / relative value assessment** (if applicable): current basis level, historical percentile, trade P&L scenarios
- **Key risks and caveats**: model assumptions, liquidity considerations, counterparty exposure, regulatory capital impact

## Quality Checks

- Verify that the ISDA definitions version and credit event types match the actual confirmation or master agreement [VERIFY]
- Confirm hazard rate bootstrapping reproduces quoted market spreads within 0.25 bps tolerance
- Cross-check upfront pricing against at least one independent source (dealer quote, Markit, Bloomberg CDSW)
- Ensure recovery rate assumption is consistent across pricing, JTD calculation, and scenario analysis
- Validate that index factor and constituent weights are current (post any credit events or succession events)
- For tranche products, confirm that base correlation inputs are sourced from liquid tranche quotes and that interpolation methodology is documented
- Flag any reference entities on ISDA DC watch list or with near-term maturity of the cheapest-to-deliver obligation

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