Portfolio Performance
A 15% return sounds better than a 12% return — until you find out the 15% came with wild swings that would have kept you up at night, and the 12% came from a portfolio that barely moved; knowing how to actually judge performance is what separates investors who improve over time from investors who just get lucky or unlucky.
Absolute return vs relative return
Absolute return is simply the percentage gain or loss on your money over a period, with no reference point — "my portfolio was up 12% this year." It answers "did I make money?" but not "did I do well, given what was possible?"
Relative return answers that second question, by comparing your return to some reference point, usually a market index. If your portfolio returned 12% in a year when the overall stock market returned 20%, your absolute return was positive, but your relative return was negative — you underperformed by 8 percentage points. Conversely, a portfolio that returns -5% in a year when the market fell 15% has a negative absolute return but a strongly positive relative return, because it lost far less than the market did. Professional fund managers are judged almost entirely on relative return, because absolute returns are heavily driven by whether markets went up or down that year — something no manager controls. What they can control is whether their choices did better or worse than simply matching the market.
Benchmarking: comparing to the right index
The reference point used for relative return is called a benchmark — a index or standard chosen to represent what a "typical" or "passive" investment in that category would have returned, so you have a fair comparison. Choosing the right benchmark matters enormously:
- A Singapore equities fund should be benchmarked against the Straits Times Index (STI), not the S&P 500 — comparing it to US stocks tells you nothing useful, since the two markets are driven by different economies and sectors.
- A global technology fund should be benchmarked against a technology-sector index, not a broad market index — otherwise a fund manager who simply picked "any tech stock" during a tech boom might look brilliant purely because tech as a sector did well, not because their specific picks were good.
- A bond fund should be benchmarked against a bond index, not a stock index — comparing very different asset classes with very different risk levels is meaningless.
A common trick to watch for: a fund manager who quietly benchmarks against a weaker or less relevant index to make their own performance look better by comparison. Always check what a fund is actually being compared to before trusting a "we beat the benchmark" claim.
The Sharpe ratio: return per unit of risk
Return alone is an incomplete picture, because it says nothing about how much risk was taken to achieve it. Two portfolios might both return 12%, but one might have gotten there through a smooth, steady climb while the other lurched up and down wildly along the way — the first is arguably the better outcome, even at an identical return. The Sharpe ratio is a measure that captures this by dividing a portfolio's excess return (return above the "risk-free rate," such as Singapore T-bills) by its volatility, giving you return earned per unit of risk taken.
In this example, the second portfolio has a higher raw return (15% vs 12%) but a lower Sharpe ratio (0.6 vs 0.9) — it took on far more volatility to get that extra return, and on a risk-adjusted basis, the first portfolio actually performed better. A higher Sharpe ratio means more return generated for each unit of risk taken — generally the more meaningful number for comparing two different investment strategies, rather than raw return alone.
Drawdown: understanding how much your portfolio can fall
Drawdown measures the decline from a portfolio's highest point (peak) to its lowest point afterward (trough), before it recovers back to a new high — in other words, the worst peak-to-trough loss you would have actually experienced if you'd been invested throughout. It's usually expressed as "maximum drawdown," the single largest such decline over a given period.
Average annual returns can hide how painful the ride actually was. A portfolio that averaged 8% a year over ten years sounds pleasant, but if it did so by falling 45% in one bad year before recovering over the following years, an investor who couldn't stomach that drop and sold near the bottom would have locked in a permanent loss, never experiencing the eventual recovery. This is why understanding maximum drawdown matters as much as understanding average returns — it tells you what you would actually need to emotionally and financially withstand to earn that average return, and it's a major reason why matching your asset allocation (Lesson 7.2) to your actual risk tolerance and time horizon matters more than chasing the highest historical average return.
Portfolio A returns 15% with high volatility. Portfolio B returns 12% with low volatility. Which is "better"?
Reveal Answer
It depends on what you're optimizing for, but on a risk-adjusted basis, Portfolio B is often the more attractive choice, and there is no single objectively "correct" answer without more information. If you only look at absolute return, Portfolio A wins (15% > 12%). But using a measure like the Sharpe ratio, which divides return by volatility, Portfolio B may well come out ahead, because it achieved a strong return while taking on much less risk — meaning smaller, more survivable swings along the way. For a long-term investor who can tolerate large swings and won't panic-sell during a downturn, Portfolio A's higher absolute return might be worth the extra volatility. For an investor closer to needing the money, or one who is likely to sell in a panic during a sharp drawdown (thereby locking in losses), Portfolio B's steadier path may deliver a better real-world outcome, even at a lower headline return. The honest answer is: "better" depends on the investor's risk tolerance and time horizon, not on the return number alone.