How are recovery rates estimated and why do they vary so much across different types of debt?
I'm studying CFA Level I credit analysis and the concept of recovery rate keeps coming up in expected loss calculations. I know Recovery Rate = 1 - Loss Given Default, but I'm confused about why senior secured bonds recover so much more than subordinated debt. What determines the recovery rate in practice?
Recovery rate is the percentage of face value that bondholders actually receive when an issuer defaults. It's central to credit analysis because Expected Loss = Probability of Default x Loss Given Default, where LGD = 1 - Recovery Rate.
The Priority Waterfall: Why Seniority Matters
When a company defaults, its remaining assets are distributed according to the absolute priority rule — a strict hierarchy:
Typical Recovery Rates by Seniority (Historical Averages):
| Debt Type | Average Recovery Rate | Range |
|---|---|---|
| Senior Secured (1st Lien) | ~62% | 40-80% |
| Senior Unsecured | ~40% | 20-60% |
| Senior Subordinated | ~28% | 10-45% |
| Junior Subordinated | ~17% | 0-30% |
Factors That Drive Recovery Rate Variation:
- Collateral quality — A loan secured by prime commercial real estate recovers more than one secured by specialized manufacturing equipment with limited resale value.
- Industry — Utilities and regulated industries tend to have higher recoveries (tangible assets, regulated cash flows). Technology and service firms often have lower recoveries (intangible assets like IP and brand value are harder to liquidate).
- Economic conditions at default — During recessions, asset values are depressed and more firms default simultaneously, flooding the distressed market. Recovery rates drop across the board.
- Capital structure complexity — Firms with many layers of debt (secured, unsecured, mezzanine, convertibles) tend to have lower recoveries for junior tranches because more claimants compete for limited assets.
- Jurisdiction — US bankruptcy law (Chapter 11) generally allows for reorganization, which can preserve going-concern value. In some jurisdictions, liquidation is the default outcome.
Practical Example — Kendrick Automotive
Kendrick defaults with $500M in remaining enterprise value:
- $200M Senior Secured: Recovers 100% ($200M)
- $300M Senior Unsecured: Recovers 100% ($300M from remaining value)
- $150M Subordinated: Recovers 0% (nothing left)
Recovery rates: Secured = 100%, Unsecured = 100%, Subordinated = 0%.
Now change the enterprise value to $350M:
- Secured: Recovers 100% ($200M)
- Unsecured: Recovers 50% ($150M of $300M)
- Subordinated: Recovers 0%
Exam Tip: For CFA Level I, know that Expected Loss = PD x LGD, and that LGD varies primarily with seniority and collateral quality. Questions often ask you to rank recovery expectations across debt tranches.
Explore credit analysis frameworks in our CFA Level I study materials.
Master Level I with our CFA Course
107 lessons · 200+ hours· Expert instruction
Related Questions
What exactly is the Capital Market Expectations (CME) framework and why does it matter for asset allocation?
How do business cycle phases affect asset class return expectations?
Can someone explain the Grinold–Kroner model step by step with numbers?
How do you forecast fixed-income returns using the building-blocks approach?
PPP vs Interest Rate Parity for forecasting exchange rates — when do I use which?
Join the Discussion
Ask questions and get expert answers.