IMLInvestment
Model Library

Reference desk / edition 2026.10

Validation examples

Separate arithmetic checks from empirical validation, and preserve windows, baselines and uncertainty.

Calculation references

11

Sample tracking error

Measure dispersion of aligned arithmetic portfolio-minus-benchmark returns with explicit annualization.

Validation examplesv1.0.0
12

Arithmetic information ratio

Relate mean active return to sample active-return dispersion under one declared scaling convention.

Validation examplesv1.0.0
13

Geometric return chain

Reconcile sequential decimal returns to terminal wealth and an explicitly annualized equivalent.

Validation examplesv1.0.0

Detailed guides

Validation examples

The denominator defines the information ratio

Keep active-return means and tracking error on compatible scales, and separate a large historical ratio from evidence about repeatable performance.

Validation examples

Compound returns and external cash flows

Distinguish chained investment returns, account balance growth and money-weighted experience using a fully specified hypothetical cash-flow timeline.

Validation examples

Arithmetic tests are not empirical validation

Identify what deterministic fixtures can verify, what they leave untested and why correctly implemented statistics do not establish investment usefulness.

Validation examples

Out-of-sample evidence and multiple testing

Separate chronological evaluation from repeated model selection, and quantify how a hypothetical search across many null tests changes the chance of a false discovery.

Validation examples

Choosing a reference model: match the calculation to the question

Select an inspectable mathematical baseline by output, assumptions and input burden, not by treating a synthetic example as a performance ranking.