Metrics Explainer

Understand how each metric measures performance, risk, and consistency.

What Expectancy measures

Expectancy is one of the metrics we use to evaluate aPMS scheme. It helps quantify a specific dimension of performance, risk, consistency, or implementation quality.

**Best for:**Understanding one important dimension of scheme behavior when used alongside other metrics.


Why it matters for PMS scheme evaluation

  • Adds context beyond headline returns by highlighting one key dimension of scheme behavior.
  • Improves comparability across schemes when used within the same strategy and benchmark context.
  • Becomes most useful when combined with other metrics (especially drawdowns and risk-adjusted measures).

How to interpret Expectancy

Explore all tools and calculators

Compare PMS schemes using this and other metrics

  • **Compare like-for-like:**use peer schemes with similar strategy and benchmark.
  • **Check multiple horizons:**avoid a single time window (for example 1Y vs 3Y vs 5Y).
  • **Use a cluster:**pair withMax DrawdownandVolatilityto understand trade-offs.

Common pitfalls

Read our methodologyfor calculation assumptions and limitations.

  • This metric can be misread if compared across different strategies, horizons, or calculation assumptions.
  • Short track records can make this metric unstable; prefer longer histories where possible.
  • Calculation choices can shift values—compare schemes using consistent assumptions.

Related metrics


FAQs

Expectancy is a metric used to evaluate PMS scheme behavior. In simple terms, it helps quantify: expected return per period using win rate and average win/loss; payoff-aware.

Not always. Higher values can come with trade-offs. Interpret Expectancy alongside drawdowns, volatility, and strategy context.

Compare within similar peer groups and across multiple horizons. Use Expectancy as part of a metric cluster, not a single-number decision.

What is Expectancy in a PMS scheme?

Expectancy is a metric used to evaluate PMS scheme behavior. In simple terms, it helps quantify: expected return per period using win rate and average win/loss; payoff-aware.

Is a higher Expectancy always better?

Not always. Higher values can come with trade-offs. Interpret Expectancy alongside drawdowns, volatility, and strategy context.

How should I use Expectancy to compare schemes?

Compare within similar peer groups and across multiple horizons. Use Expectancy as part of a metric cluster, not a single-number decision.


Next:How to compare PMS schemes·How to evaluate a PMS scheme·All metrics