Credit Risk Analysis — The Financial Thriller You Didn’t Know You Were Reading

"Credit risk is like dating: you want to know if the other party will ghost you on payments or just flake with a sad text." — Your slightly dramatic CFA TA

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Hook: Why this matters (and yes, it connects to yield and valuation)

You already learned how to value bonds and measure yields. Good. Now ask: why does a corporate bond yield more than a government bond? Why does a BBB issue trade at a wider spread than an AA issue? The answer lies in credit risk analysis — the art (and science) of estimating the chance a borrower will not make you whole.

In practice, credit risk is what turns a clean bond valuation (discount cash flows by a risk-free curve) into a horror movie where spreadsheets cry. Let’s make sense of the horror with structure, memes, and math.

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What is credit risk? Fast definition

• Credit risk = the possibility that a borrower will fail to meet contractual obligations (default) or suffer a downgrade that materially affects value.
• Default risk is a subset (actual nonpayment). Credit risk also includes migration risk (ratings changes), recovery uncertainty, and structural nuances.

Why not just use yield-to-maturity? Because yield embeds compensation for credit risk (plus liquidity and other premiums). When pricing credit-sensitive bonds you must separate the default probability from the expected loss if default occurs.

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The building blocks: PD, LGD, EAD (and a neat formula)

Think of credit loss like a three-course meal:

1. Probability of Default (PD) — How likely the borrower is to default in a period.
2. Loss Given Default (LGD) — Given default, what fraction of exposure is lost? (1 - recovery rate).
3. Exposure at Default (EAD) — The amount outstanding when default happens.

Expected Loss (per period) = PD × LGD × EAD

Example: PD = 2%, LGD = 60%, EAD = 100
Expected loss = 0.02 * 0.60 * 100 = 1.2
So expect $1.20 loss per $100 per year (on average).

This is the quantitative spine of credit risk. CFA Level 1 expects you to know these definitions and the formula.

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How this ties back to valuation & yields

You previously discounted bond cash flows at a required yield that reflected risk. For credit-risky bonds you can:

• Increase the discount rate (yield = risk-free + credit spread). The credit spread compensates investors for expected and unexpected losses.
• Or explicitly adjust cash flows for default probabilities (reduced-form approach), then discount at risk-free.

Common spreads you’ll encounter:

• Z-spread — constant spread added to every point of the treasury spot curve so PV of cash flows equals the price.
• Option-adjusted spread (OAS) — adjusts Z-spread for embedded options (callable/putable bonds).

Quick mental model: wider spread = more perceived credit risk (or less liquidity, or both). Spread decomposition: credit risk premium + liquidity premium + tax differences + technicals.

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Credit ratings, transition matrices, and migration

Rating agencies (S&P, Moody’s, Fitch) give opinionated shortcuts: AAA → junk. But ratings are not gospel; they lag and are sometimes wrong (hello 2008).

• Ratings map to historical PDs (useful but backward-looking).
• Transition matrices show probabilities of migrating between ratings (including to default) over a horizon.

Why migration matters: a downgrade increases yield required, which reduces bond price even without default. So credit risk hurts you before a default occurs.

Table: Simple rating → 1-year PD (illustrative)

Rating	1-year PD (example)
AAA	0.01%
AA	0.03%
A	0.10%
BBB	0.50%
BB	2.00%
B	6.00%
CCC	20.00%

(Use CFA tables for exact numbers in exam prep.)

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Seniority, covenants, and recovery — the courtroom seating chart

When a company collapses, who gets paid first matters:

• Senior secured debt has collateral — higher recovery, lower LGD.
• Senior unsecured sits after secured debt.
• Subordinated / junior = last in line — highest LGD.

Covenants (restrictive promises) protect bondholders. Weak covenants = more credit risk.

Ask: would you rather be a senior lender with strong covenants or an equity holder? (Hint: creditors usually win in the short term.)

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Credit derivatives: CDS in one breath

A Credit Default Swap (CDS) is insurance on default. Buyer pays a premium; seller compensates if default occurs.

CDS spread ≈ market-implied credit risk, so comparing CDS spreads and bond spreads can reveal liquidity differences or market stress.

Why CFA cares: CDS pricing links to PD and LGD via reduced-form models; on the exam, you might be asked to link spreads to default probabilities.

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Practical steps for credit analysis (CFA-style checklist)

1. Begin with valuation: compare bond yield vs risk-free (spread analysis).
2. Check rating and implied PD, then sanity-check with fundamentals (coverage ratios, leverage).
3. Evaluate covenants, collateral, and seniority — adjust LGD assumptions.
4. Use transition matrices for multi-period analysis.
5. Consider macro and sector risks (cyclical exposure = higher PD in downturns).
6. For advanced cases, compare CDS and bond spreads — watch for basis trades.

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A few exam-friendly reminders

• Memorize PD × LGD × EAD = Expected Loss.
• Know difference: credit risk vs default risk vs downgrade (migration) risk.
• Understand spread concepts (Z-spread, OAS) and why they matter for pricing.
• Seniority and covenants change recovery rates — therefore change LGD.

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Closing: The big insight (and a motivational rant)

Credit risk analysis is both arithmetic and storytelling. The math (PD, LGD, EAD) gives you expected losses; the story (business model, covenants, macro) tells you whether those numbers will jump in a crisis.

Investors don’t just buy yields; they buy promises. Your job as a fixed-income analyst is to evaluate how believable those promises are, price the uncertainty, and—when appropriate—demand extra spread or walk away.

Key takeaways:

• Separate probability and severity (PD vs LGD).
• Spread ≠ only default risk — liquidity and other premiums matter.
• Seniority and covenants materially affect recovery and pricing.
• Ratings help, but do your own credit homework.

Final question for you (do not scroll past without answering): if two bonds have equal YTMs but one is secured and one is unsecured, which one would you want on your balance sheet if a recession hits? Why?

Go answer that aloud (or in your notes). Then practice a few credit spread decompositions and PD × LGD calculations. Eat a snack. Repeat.

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