Metrics Explainer

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

What Downside Deviation measures

Downside Deviation 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 Downside Deviation

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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

Downside Deviation is a metric used to evaluate PMS scheme behavior. In simple terms, it helps quantify: volatility of negative or under-target returns only; focuses on harmful variability.

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

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

What is Downside Deviation in a PMS scheme?

Downside Deviation is a metric used to evaluate PMS scheme behavior. In simple terms, it helps quantify: volatility of negative or under-target returns only; focuses on harmful variability.

Is a higher Downside Deviation always better?

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

How should I use Downside Deviation to compare schemes?

Compare within similar peer groups and across multiple horizons. Use Downside Deviation 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