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CFA Level 2 · Study notes

CFA Level 2 credit analysis within fixed-income item sets

Credit analysis connects an issuer’s ability to service debt with the recovery rights of a specific claim. In an item set, identify the obligor, cash-flow capacity, debt terms and recovery assumptions before interpreting a credit spread or expected loss.

Level 2 · Visual study guideStudy illustration of an analyzed worksheet, calculator and checked answer.

Issuer capacity

Read the visual, then follow the worked example below. Use the stated case assumptions.

Illustrative worked case

Separate loss severity from default probability

amount if default occurs

Recovery
400,000 (40%)
Loss given default
600,000 (60%)

Exposure is 1,000,000 and recovery is 40%. At the separate 2% one-period default probability, expected loss is 12,000 before discounting.

  • 01Issuer capacity

    Examine sustainable cash generation, leverage, coverage and refinancing needs.

    Watch for: One strong earnings period does not remove a near-term funding gap.

  • 02Claim structure

    Read seniority, collateral, guarantees and covenant terms.

    Watch for: Two bonds from the same issuer can have different recovery prospects.

  • 03Expected loss

    Under a simple one-period model, expected loss = PD × LGD × exposure.

    Watch for: Recovery affects loss given default, not the probability of default by definition.

  • 04Spread interpretation

    Separate benchmark-rate changes from changes in spread compensation.

    Watch for: A market spread can include liquidity and risk premiums as well as expected default loss.

Selected 2026 study concepts. Match your preparation to your registered exam-year curriculum. These notes are not complete curriculum coverage.

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Put the method to work

One worked example, from facts to answer

  1. Given

    One-period default probability is 2%, recovery is 40%, and exposure is 1,000,000. Ignore discounting and exposure changes.

  2. Method

    LGD = 1 - 0.40 = 0.60. Expected loss = 0.02 × 0.60 × 1,000,000.

  3. Answer and interpretation

    Expected loss is 12,000. This simplified expected loss is not the bond’s market spread or a forecast of its realized loss.

Original independent teaching example. Assumptions are stated above; this is not an official exam question or scoring key.

Apply the framework, step by step

Extract default, recovery and claim-specific evidence from a case and calculate a clearly defined loss measure. Read Fixed Income for the wider curves and bond-valuation framework.

Before you start: Discounting, credit spreads, probability of default, loss given default and exposure at default.

METHOD 01

Issuer capacity

Examine sustainable cash generation, leverage, coverage and refinancing needs.

Identify who owes the payment and which cash flows service that obligation. Operating earnings, cash generation, leverage, coverage and refinancing needs give different views of credit capacity. A company may report a profit while lacking cash for a near-term maturity. Distinguish a temporary liquidity problem from a weak long-term business and use the case’s forward assumptions rather than a ratio in isolation.

Avoid this mistake: One strong earnings period does not remove a near-term funding gap.

METHOD 02

Claim structure

Read seniority, collateral, guarantees and covenant terms.

The issuer and the security are separate parts of the analysis. A claim’s seniority, collateral, guarantees and covenants can affect recovery even when the same issuer owes several debts. Read structural subordination and the location of assets or guarantees where the case supplies them. A secured bond can still default; collateral mainly changes recovery prospects and may lose value when the issuer is distressed.

Avoid this mistake: Two bonds from the same issuer can have different recovery prospects.

METHOD 03

Expected loss

Under a simple one-period model, expected loss = PD × LGD × exposure.

For the simple one-period calculation, expected loss equals default probability × loss given default × exposure at default. Recovery and LGD are complementary when measured against the same exposure. For multiple periods, distinguish a conditional annual probability from an unconditional or cumulative default probability; avoid adding probabilities or counting a default more than once. Discount expected losses when the requested measure is a present value.

Avoid this mistake: Recovery affects loss given default, not the probability of default by definition.

METHOD 04

Spread interpretation

Separate benchmark-rate changes from changes in spread compensation.

A credit valuation adjustment reduces a hypothetical default-free value by the present value of relevant expected credit losses under the model. A market spread can also compensate for liquidity, uncertainty and risk premiums. Do not equate a simple physical expected-loss percentage with an observed market spread without the required assumptions. State the measure, horizon and inputs before drawing the investment conclusion.

Avoid this mistake: A market spread can include liquidity and risk premiums as well as expected default loss.

Apply it to a different case

New facts
A one-year exposure is 750,000. Default probability is 3% and recovery is 65%. Ignore discounting and exposure changes.
Working
LGD = 1 - 0.65 = 0.35. Expected loss = 750,000 × 0.03 × 0.35 = 7,875.
Conclusion
The modeled expected loss is 7,875, or 1.05% of exposure. This is an expectation across outcomes, not a certain loss or the market credit spread.

Original teaching case under the stated assumptions, rather than an official exam question.

Questions about this method

Are recovery rate and default probability interchangeable?
No. Default probability describes the likelihood of default over a specified horizon. Recovery describes the amount recovered conditional on default under the model. Their roles in expected loss are different.
Can I use the same annual probability for every year?
Only under the model’s assumptions, and you must still handle survival and timing correctly. Conditional annual default probabilities cannot simply be added to obtain an unconditional multi-year probability.
Is expected loss equal to the credit spread?
Not generally. Market spreads may include liquidity effects and compensation for uncertainty and risk, and pricing models can use probabilities different from physical forecasts. A simple expected-loss calculation alone does not explain the entire spread.

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Official outlines establish curriculum scope. The explanations and worked examples are independent teaching material; the sources do not verify or endorse them.

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