What Does ‘Good’ Investment Performance Actually Mean?
Most conversations about investment performance start with a number.
A return of 6%.
A benchmark of 5%.
A peer average of 7%.
From there, conclusions tend to follow quite quickly. Outperformance. Underperformance. A manager doing well, or not. The problem is that the number itself doesn’t tell you very much.
Performance only becomes meaningful once it is placed in context. A return is shaped by the mandate, the level of risk taken, the market conditions and the timeframe being considered. Change any one of those variables, and the same result can look entirely different.
A portfolio that returns 6% might be performing exactly as expected. It might be taking less risk than its peers. It might be outperforming similar portfolios. Or it might not be. Without a consistent point of comparison, it is difficult to say with any certainty. That is where most assessment of performance starts to become subjective.
In practice, performance is often evaluated using a mix of internal benchmarks, selectively chosen peer groups and manager-provided data. None of this is inherently wrong. But it does introduce variation. Different advisers can present different comparisons. Different managers can frame their performance in different ways. All of those views can be reasonable. But they are not necessarily consistent. That makes it harder to answer a simple question: what does ‘good’ actually look like?
The idea of benchmarking is intended to solve that. A benchmark provides a reference point against which performance can be measured. But not all benchmarks are equally useful. An internally constructed benchmark may reflect a firm’s own assumptions. A manager-specific benchmark may align closely with their strategy. A market index may not reflect the structure of a discretionary portfolio at all. What matters is not just having a benchmark, but having one that is relevant, comparable and independently derived.
Peer group benchmarking is one of the few approaches that addresses this directly. By comparing portfolios with similar mandates, risk profiles and structures, it becomes possible to see performance in context rather than in isolation. That does not remove judgment. It gives it a foundation.
A return can be assessed not just as a number, but as a position relative to others operating under similar conditions. Patterns become clearer. Outliers become easier to identify. Conversations become more focused. This has practical implications for governance.
If performance is assessed inconsistently, decisions about retaining or replacing a manager become harder to justify. If comparisons vary depending on who is presenting them, it becomes difficult to demonstrate that oversight has been applied in a structured way. Consistency matters here. Not for the sake of simplicity, but for the ability to evidence decisions properly.
There is also a question of independence.
If the data used to assess performance is not independent, it carries an element of bias. Again, this may be subtle. But over time, it affects how performance is interpreted and how decisions are made.
An independent benchmark provides a shared reference point. It removes the need to reconcile multiple versions of performance. It allows trustees, advisers and managers to work from the same underlying data, even if they draw different conclusions from it.
So what does ‘good’ investment performance actually look like?
It is not a single number. It is not outperformance in isolation. It is performance that can be assessed clearly, consistently and in context, using a benchmark that is relevant and independent. That makes it easier to understand. It also makes it easier to defend.
If you would like to see how TIGA applies independent benchmark data to support performance assessment and investment governance in practice, you can request a walkthrough here.
