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In the world of wealth creation, returns are visible, but risk is what an investor truly experiences. While most individuals chase high returns, seasoned investors understand that consistent wealth is built not by maximising upside, but by managing downside. Especially for high-net-worth individuals (HNIs) and ultra-HNIs, understanding risk is not optional; it is the foundation of long-term portfolio resilience.
To build a truly uncomplicated wealth strategy, one must shift from intuition to insight. The key lies in using data to evaluate not just how much you earn, but how efficiently you earn it. This article outlines five essential metrics that offer a clear framework for analysing portfolio risk across three categories: performance resilience, volatility sensitivity, and structural efficiency.
Unlike standard point-to-point returns, rolling returns eliminate start-date bias. They measure returns across multiple overlapping periods (e.g. 3-year or 5-year windows) to assess how an investment performs through various market cycles.
HNIs want strategies that work not just in bull markets, but across all phases. Rolling return analysis offers this reliability by showing how often the strategy delivers positive returns.
A partner who leads with strategy over product orientation demonstrates disciplined thinking. This approach enhances confidence and makes the planning process less complicated.
Drawdowns refer to the decline from a portfolio's peak to its lowest point. The deeper the drawdown, the harder the recovery.
HNIs prefer smoother journeys. Shallow drawdowns protect compounding and confidence, especially in uncertain cycles.
A 65:35 equity-debt allocation keeps drawdowns in check, creating smoother portfolio performance during volatility.
Standard deviation shows how much returns deviate from their average. A lower value signals predictability and calm investing.
Two portfolios both return 12%. One has a standard deviation of 8%, another 18%. The former delivers the same result, but with less stress and risk.
Lower volatility leads to lower behavioural errors and better investor outcomes over time.
Beta measures a portfolio’s reaction to market movement.
Aim for a beta between 0.7–0.8 to capture most of the upside while avoiding the full brunt of market corrections.
Owning multiple funds doesn’t mean you're diversified if they all behave the same. Correlation quantifies this relationship.
A low-correlation component (like high-quality debt) provides liquidity and acts as a shock absorber, allowing rebalancing during equity corrections.
Use this scorecard to evaluate your current portfolio:
| Metric | Efficient (Low Risk) | Moderate Risk | Inefficient (High Risk) |
|---|---|---|---|
| Beta | Below 0.7 | 0.7 to 1.0 | Above 1.0 |
| Max Drawdown | Below 10% | 10% to 20% | Above 25% |
| Rolling Returns | 90%+ Positive | 70–80% Positive | Below 60% Positive |
| Standard Deviation | Lower than benchmark | Equal to benchmark | Higher than benchmark |
| Correlation | Below 0.3 | 0.3 to 0.7 | Above 0.8 |
While return grabs attention, risk determines sustainability. For informed HNIs and family offices, these five metrics provide a compass to navigate volatile markets and build stronger, more stable portfolios.
The real advantage lies not in avoiding risk but in understanding and managing it effectively.