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Analyzing Credit Default Swaps

ASecurity

Interprets CDS markets with basis analysis, curve dynamics, and credit event monitoring. Use when analyzing CDS spreads, monitoring credit events, or evaluating CDS basis.

22 stars
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Added 9/20/2026
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Security Analysis

A100/100

Scanned 9/20/2026

Install to Claude Code

$npx -y skills add lev-os/agents --skill analyzing-credit-default-swaps --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: analyzing-credit-default-swaps
description: Interprets CDS markets with basis analysis, curve dynamics, and credit event monitoring. Use when analyzing CDS spreads, monitoring credit events, or evaluating CDS basis.
tags:
  - analysis
  - fixed-income
  - credit
metadata:
  author: casemark
  practice_areas:
    - Fixed Income
    - Credit Research
    - Bond Trading
  document_types:
    - Analysis Report
  skill_modes:
    - Analysis
---
# Analyzing Credit Default Swaps

Interprets CDS markets with basis analysis, curve dynamics, and credit event monitoring.

## When To Use

- Evaluating single-name or index CDS spreads for relative value or directional views
- Monitoring credit events (failure to pay, restructuring, bankruptcy) and their settlement implications
- Analyzing CDS-bond basis to identify mispricing between cash and synthetic credit exposure
- Assessing CDS curve shape (term structure) for credit deterioration or recovery signals
- Building or unwinding CDS positions as part of hedging or speculative strategies

## Inputs To Gather

- **Reference entity and tier**: Identify the reference entity, seniority (senior unsecured, subordinated), and applicable restructuring clause (CR, MR, MM, XR) [VERIFY clause convention by region — CR for North America, MM/MR common in Europe]
- **CDS spread data**: Current and historical par spreads across standard tenors (1Y, 3Y, 5Y, 7Y, 10Y); source (e.g., Markit, Bloomberg CDSW)
- **Cash bond comparables**: Comparable bond yields, asset-swap spreads, or Z-spreads for basis analysis
- **Recovery rate assumptions**: Market-implied recovery vs. historical sector recovery rates
- **Credit event triggers**: Any pending or recent ISDA Determinations Committee rulings, succession events, or restructuring notices
- **Index context**: Relevant CDS index series (CDX.NA.IG, CDX.NA.HY, iTraxx Europe) and the entity's index membership/weight

## Workflow

1. **Establish the reference entity profile**
   - Confirm ISDA documentation terms: 2003 or 2014 definitions, applicable restructuring type
   - Note the deliverable obligation characteristics and any cheapest-to-deliver (CTD) considerations
   - Identify sector, rating, and recent rating agency actions

2. **Analyze spread levels and curve dynamics**
   - Plot the CDS term structure; assess steepness or inversion
   - A steep curve suggests near-term stability with longer-term concern; an inverted curve signals acute near-term stress
   - Compare current spread to 6-month, 1-year, and 3-year percentile ranks
   - Decompose spread moves into systematic (index/sector beta) vs. idiosyncratic components

3. **Compute and interpret the CDS-bond basis**
   - Basis = CDS spread − asset-swap spread (or Z-spread) of comparable cash bond
   - Negative basis (CDS tighter than cash): may indicate a negative basis trade opportunity (buy bond + buy protection)
   - Positive basis (CDS wider than cash): often driven by funding costs, repo availability, or counterparty risk
   - Evaluate basis stability — transient dislocations vs. structural factors (e.g., illiquid bond, CTD optionality)

4. **Monitor credit event risk**
   - Track ISDA DC filings and credit event notices at www.cdsdeterminationscommittees.org [VERIFY current URL]
   - For restructuring events, assess whether the event qualifies under the applicable restructuring clause
   - Model auction settlement mechanics: recovery rate scenarios, deliverable basket composition, and potential CTD dynamics
   - Flag succession events that may split or reassign CDS contracts

5. **Assess relative value and positioning**
   - Compare single-name spread vs. index-implied spread (intrinsic spread) for rich/cheap signals
   - Evaluate curve trades: flatteners (sell long-dated / buy short-dated protection) vs. steepeners
   - For index positions, calculate jump-to-default (JTD) exposure and skew between index and constituent spreads
   - Size positions using DV01 (spread duration × notional) and consider roll-down P&L over the holding period

6. **Evaluate counterparty and collateral factors**
   - Note CSA terms, margin thresholds, and potential collateral calls under stress scenarios
   - For large notional positions, consider market impact and liquidity (bid-ask spreads widen significantly beyond ~$10M notional in off-the-run names) [VERIFY liquidity thresholds for specific names]

## Output

- **Spread summary table**: Current spreads by tenor, change over 1D/1W/1M/3M, percentile rank
- **Basis analysis**: Computed basis with explanation of drivers; flag actionable dislocations
- **Curve assessment**: Shape characterization (steep, flat, inverted) with historical context
- **Credit event status**: Active or pending ISDA DC determinations; settlement timeline if applicable
- **Trade recommendation or risk flag**: Directional view, relative value trade, or risk warning with defined entry/exit levels and stop-loss thresholds
- **Key risks and limitations**: Model assumptions, data staleness, liquidity caveats

## Quality Checks

- Confirm restructuring clause matches regional convention and ISDA documentation version
- Verify that spread data source and snapshot time are consistent across tenors
- Cross-check basis calculation inputs — ensure bond and CDS reference the same seniority and maturity bucket
- Validate recovery rate assumptions against both market-implied and historical benchmarks
- Ensure any credit event analysis references the correct ISDA Definitions (2003 vs. 2014) and applicable supplement [VERIFY which supplement applies to the specific event type]
- Flag any data points older than 24 hours as potentially stale in fast-moving credit situations
- Confirm index series is on-the-run and that roll effects are accounted for when comparing to off-the-run data

Attribution

lev-oslev-os
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