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๐Ÿ’ณ Credit Risk Measurement and Managementโ€ข 22 min readโ€ขWeight 20%

Credit Risk: Default Probability, LGD, and Credit Models

Probability of default, loss given default, exposure at default, credit ratings, structural models (Merton), and reduced-form models.

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Expected Loss Building Blocks

Credit risk usually decomposes into probability of default, loss given default, and exposure at default.

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Why it matters

When the exam changes one component, trace the directional effect on expected and unexpected loss separately.

Credit Risk ComponentsProbability of DefaultMerton ModelReduced-Form ModelsCredit RatingsCredit VaR

Credit Risk: Default Probability, LGD, and Credit Models

Credit Risk Components

Credit risk loss depends on three variables:

Expected Loss = PD ร— LGD ร— EAD

Where:

  • PD (Probability of Default) โ€” the likelihood a borrower defaults within a given time horizon
  • LGD (Loss Given Default) โ€” the percentage of exposure lost if default occurs (1 โˆ’ Recovery Rate)
  • EAD (Exposure at Default) โ€” the total amount exposed when default occurs

Expected vs. Unexpected Loss

  • Expected Loss is priced into spreads and provisioned for โ€” it is a cost of doing business
  • Unexpected Loss is the volatility around expected loss โ€” this is what requires capital

Capital = f(Unexpected Loss) = f(ฯƒ of portfolio credit losses)


Probability of Default

From Market Data โ€” Credit Spreads

Credit spread = yield on risky bond โˆ’ risk-free yield

Approximate PD (annual): PD โ‰ˆ Spread / (1 โˆ’ Recovery Rate)

Example: If a bond has a 200 bp spread and expected recovery is 40%: PD โ‰ˆ 0.02 / 0.60 = 3.33%

This is the risk-neutral PD, which includes a risk premium. The physical (actual) PD is typically lower.

From Historical Data โ€” Rating Agencies

Rating agenc

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