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Use an original constant loss
If mean loss is 7 and dispersion is zero, the model loss is always 7. Every supported confidence gives VaR 7 and selected-tail average 7. The loss can also be a negative constant under a gain convention.
Avoid dividing by zero
The positive-dispersion normal density divides by σL, and standardized loss uses (L−μL)/σL. Neither expression is defined at σL=0. Treat the input as a constant-loss limit instead of attempting to draw a normal density.
Read the boundary behavior
| Quantity | Behavior |
|---|---|
| VaR | Equals the mean loss |
| Expected shortfall | Equals the mean loss |
| Density/standardization | Not defined by the positive-scale formula |
| Calculator figure | Omitted |
Keep a stated model separate from certainty
Entering zero dispersion stipulates a constant law; it does not establish that a real exposure has no uncertainty. An estimated zero from a short or incomplete record needs its own data review.