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Begin with a compatible loss identity
Read the declared-model lesson and the return-to-loss moment transformation. Retain the common horizon, loss unit, sign and distribution assumption in the input worksheet. Distinguish a declared law from empirical calibration.
Add the quantile and selected-tail mean
Calculate the original zero-mean ten-unit case. Explain why the quantile and ES multipliers differ, and follow the first-moment integral before calling a density height a probability.
Use evidence of understanding
| Task | Review evidence |
|---|---|
| Parameter basis | Mean/dispersion transformed consistently |
| Tail equations | Correct coefficient and denominator |
| Unit change | Loss amounts scale while probability stays fixed |
| Period sum | Dependence and mean scaling stated |
| Joint counterexample | Marginals distinguished from joint normality |
Review the cause of an error
Use the three original practice sets and return to the linked explanation for each error. This sequence is a learning route, not a complete official syllabus or a predicted pass outcome. Choose the next task based on the missing condition or wrong calculation layer.