CAIA® manager track records: what counts as skill evidence?

A manager’s track record is evidence of skill only after you ask what benchmark it beat, how variable the active returns were, and which exposures produced them. A positive average return can arise from a favourable style bet or a short run of luck. Attribution and a credible investment process help separate those explanations.

Evaluate the comparison before the result

CAIA Association places selection of a fund manager within its due diligence curriculum. A useful record must compare like with like: the benchmark should reflect the mandate, asset mix, geography and liquidity constraints over the same periods. CAIA Association also stresses that peer selection and the division of responsibility for portfolio decisions matter to performance evaluation. A result against an easy benchmark tells you little about manager selection.

Calculate active return for each period as the portfolio return less the benchmark return. Its mean describes average value added relative to that benchmark. Tracking error is the sample standard deviation of those active returns. The information ratio scales the average by the variability taken to earn it; it does not establish who caused the result.

A short illustrative record

Suppose an invented manager has five annual active returns of plus 4, minus 2, plus 6, zero and plus 2 percentage points against a suitable benchmark. The average is plus 2 percentage points. The squared deviations from that average sum to 40; dividing by four for the sample variance gives 10 squared percentage points, so tracking error is about 3.16 percentage points.

The resulting illustrative information ratio is about 0.63. If the annual observations were independent and comparable, the usual simple t-statistic for a zero mean active return would be about 1.41. With such a short record, that calculation is a prompt for caution, not a proof of skill or its absence. Real alternative-asset returns can be smoothed, serially related or based on valuations that make this simple test less reliable.

Trace the source of the active return

Next ask whether the portfolio’s return can be explained by systematic exposures. Compare its observed holdings and return pattern with appropriate style or factor benchmarks. If a credit tilt accounts for much of the excess return, call that an exposure before calling the remainder selection skill. Returns-based attribution is only an estimate: changing exposures, stale private valuations and an incomplete set of factors can distort the residual.

• Wrong denominator. Total portfolio volatility is not tracking error; the latter measures return relative to the benchmark.
• Easy comparator. A benchmark that omits the strategy’s main exposures can manufacture apparent alpha.
• Ratio as verdict. Even an attractive information ratio says nothing by itself about statistical reliability or whether a process can be repeated.
• Residual as proof. Unexplained return may reflect missing factors, valuation methods or data limits, not necessarily manager decisions.

For revision, place this within the CAIA programme and use the study methodology to organise a comparison checklist: benchmark, active-return distribution, attribution and process evidence.

Sources

1. Explore the Curriculum - Chartered Alternative Investment Analyst Association · caia.org · Retrieved 12 Oct 2026
2. Performance Evaluation: More Questions than Answers - Chartered Alternative Investment Analyst Association · caia.org · Retrieved 12 Oct 2026