Calculator
Tracking Error Calculator
Tracking Error Calculator
Tracking Error
3.39%
Information Ratio
0.29
Best / Worst Active
+4.6 / -4.4 pp
Active Risk Analysis
A tracking error of 3.39% is a moderate active band for an ASX-managed fund: enough deviation from the benchmark to produce meaningful out- or underperformance, but not so much that results become disconnected from it. The average active return is +0.98 pp, and the best/worst swings of 4.6 / -4.4 pp show the range an investor should genuinely expect.
Tracking error is a backward-looking statistic computed from the return history you enter. A short sample can overstate or understate a strategy's true active risk, and past tracking behaviour does not guarantee future results.
Tracking Error: How Far a Fund Wanders From Its Benchmark
When an investment claims to beat a benchmark, or claims to mirror it, investors need a number that says how much it actually deviates. Tracking error is that number: the standard deviation of the difference between the portfolio's returns and the benchmark's returns. It measures active risk - the size of the swings around the benchmark an investor must be willing to endure. A fund can outperform by a couple of points and still have low tracking error if its results hug the index, or wildly alternate between crushing the index and badly trailing it, which shows up as high tracking error. For Australian investors this metric is practical, not academic. It tells you whether that 'active' managed fund is really just an expensive closet indexer hugging the S&P/ASX 200, or whether your ASX-listed ETF actually tracks its index as advertised. More importantly, it sets expectations: if a fund runs a 6% tracking error, you should expect it to finish a year meaningfully ahead or behind its benchmark without panicking when it does. Tracking error is also the denominator of the information ratio, the professional's measure of whether active risk was rewarded. Together the two numbers tell you how far a manager wandered from the benchmark and whether the wandering paid.
Behind the Formula: Volatility of the Active Return
Tracking error starts by computing the active return for each period: the portfolio return minus the benchmark return. These differences are then treated as a data series whose standard deviation is computed using the sample (n-1) formula - the same way volatility is measured anywhere in finance. Because inputs are entered as annual figures, the result is already an annual tracking error. A low number means the active returns cluster tightly around their own average, so the portfolio's divergence from the benchmark is steady and predictable; a high number means they swing widely, making relative performance volatile. The calculator also computes the information ratio by dividing the average active return by the tracking error. That ratio answers what tracking error alone cannot: was the wandering rewarded? An information ratio above 0.5 is generally considered good for an active manager; above 0.2 is typical of solid active management; below zero means the average divergence was negative. Crucially, high tracking error is only a problem if it goes unpaid for - the tracking figure describes the risk tolerance required, while the information ratio describes whether that risk earned anything.
Expert Insights
Tracking Error Exposes Closet Indexers
Australian active funds charge some of the developed world's highest fees, so closet indexing matters here more than most markets. The tell is a tracking error below about 1% against the S&P/ASX 200 combined with an information ratio near zero - the fund is not deviating enough to have a genuine shot at beating its benchmark yet charges as if it were. Spot that pattern and you are paying active-fund fees for beta exposure a $50,000-a-year-cheaper index ETF would deliver.
Set Your Comfort Band Before Buying an Active Fund
Active funds are hired to differ, and tracking error quantifies the difference. A 5% tracking error means the fund can realistically finish a year five or more points away from its index in either direction. Before investing, decide what deviation you can stomach without panic-selling and match the fund's tracking error to that tolerance. Buying a high-tracking-error fund with a low-tracking-error temperament is how investors abandon sound strategies at the worst possible moment.
Use Tracking Error to Verify an ETF's Tracking
ASX-listed index funds are paid to replicate, not surprise. An ETF tracking the S&P/ASX 200 should show very low tracking error, and the residual should largely be explained by its management fee and transaction costs. If a supposedly passive fund shows persistently high tracking error or a stubbornly negative information ratio, its replication method may be flawed - a quick health check every Australian index investor can run from published returns before committing serious money.
Actionable Tips
- 1
Compute It Before Every Managed Fund Purchase
Pull three to five years of annual returns for the fund and its stated benchmark - product disclosure statements, fact sheets and market data sites publish both - run them through this calculator, and note the tracking error and information ratio alongside the fee. A fund with a healthy information ratio and a tracking error you can tolerate is a deliberate active bet; everything else belongs in an index fund inside your super or brokerage account.
- 2
Re-Check After Regime Changes
Tracking error is regime-dependent: a rotation out of banks and into miners, or a rate cycle turning, can push a formerly tight-tracking fund far off its benchmark. Recalculate after major regime shifts to confirm the active risk profile of your holdings is still what it was when you bought. Drift in the tracking number is an early signal the manager has changed how the portfolio is being run.
- 3
Add Tracking Error to Your Rebalancing Rules
For any sleeve meant to stay close to a benchmark - a core ASX 200 index holding inside super, or a satellite fund held as a proxy - define a maximum tolerable tracking error and treat a breach as a rebalancing trigger. That gives you a numbers-based rule for when to act instead of reacting to raw returns that may be perfectly normal for the position.
Real-World Examples
Marcus Discovers His 'Active' Fund Is a Closet Indexer
Marcus had paid a 0.95% management fee for an Australian large-cap fund he assumed would aggressively beat the index. The calculator showed tracking error under 1% and an information ratio near zero - the fund barely deviated from the S&P/ASX 200 at all. He replaced it with a 0.04% index ETF on the same exchange, kept essentially identical market exposure, and pocketed the fee difference every year.
Elena Accepts the Bounce of a High-Tracking Fund
Elena held a small industrials fund that had sharply alternated between beating and trailing the ASX 300, leaving her unsure whether to keep it. The tool showed the swings produced a high but consistent tracking error near 6% alongside a solidly positive information ratio. The volatility was a feature of the strategy, not a malfunction. Knowing the deviation was deliberate and rewarded, she stopped second-guessing and held.
The Tran Family Verifies Their ETFs
Before committing most of their self-managed super fund to low-cost index ETFs, the Trans ran each ETF's returns against its stated index. All showed tiny tracking errors consistent with their fees, except one global fund that tracked noticeably loose. They swapped in a tighter alternative for that sleeve and proceeded with their long-term buy-and-hold plan confident their core index tracking was working as advertised.
Glossary of Terms
- Tracking Error
- The standard deviation of the difference between a portfolio's and a benchmark's returns. It measures how much active risk the portfolio takes.
- Information Ratio
- Average active return divided by tracking error. It measures whether the deviation from the benchmark was rewarded.
- Closet Indexer
- An actively managed fund that closely mirrors its benchmark while charging active-management fees, offering little chance of meaningful outperformance.
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Ivy Sinclair-Wren
Financial Chaos Analyst
Ivy Sinclair-Wren is a Financial Chaos Analyst covering investing, AI, wealth psychology, and the emotional consequences of opening finance apps during market crashes. Based in Melbourne, she specializes in demystifying the Australian tax code and helping users navigate the intersection of spreadsheet logic and human irrationality.