First, the key terms.

Exposure
The amount at risk under the specified credit scenario.
Loss given default
The fraction lost if default occurs, after recovery assumptions.

The idea, explained

A simplified expected credit loss combines probability of default, exposure and loss given default. These inputs are uncertain and can change together during a downturn. A credit spread may also compensate for liquidity and other risks, so it is not a pure default-probability estimate. Collateral and seniority affect recovery, but neither guarantees that a lender receives the full amount on time.

STEP 1

Calculate the components

A simplified expected loss multiplies exposure, default probability and loss given default. Confirm that all inputs use compatible horizons and definitions. This average does not describe every possible outcome.

STEP 2

Inspect joint stress

Recovery can deteriorate when defaults rise, particularly if collateral values fall at the same time. Treating all inputs as fixed and independent can hide concentration and downturn losses.

Follow a worked example.

In a simplified one-year example, a $1,000 exposure has a 2 percent default probability and a 40 percent loss if default occurs. Expected loss is $1,000 × 0.02 × 0.40 = $8, before discounting and other complications.

Walk it through, one step at a time

  1. Loan A has $1,000 exposure, 2 percent default probability and 50 percent loss given default: expected loss is $10.
  2. Loan B has the same exposure and probability but 20 percent loss given default: expected loss is $4.
  3. Identical default probability therefore does not imply identical monetary risk or tail outcomes.

Where people get stuck

A low expected loss can coexist with rare but severe outcomes and correlated defaults.

Now try it yourself.

Pause before opening each answer. Explain your reasoning in your own words.

1. Check the core idea

Would identical default probabilities imply identical expected losses?

Reveal the answer & reasoning

No. Exposure and recovery can differ. The same default probability can produce very different monetary losses.

2. Apply what you learned

Does expected loss of $10 mean the lender will lose exactly $10?

Reveal the answer & reasoning

No. It is an average under assumptions. A single realized outcome may be no loss or a much larger loss, among other possible contractual outcomes.