Concepts

Tracking Error vs Tracking Difference for ETFs

When two ETFs track the same index, they should, in theory, produce the same returns. In practice, they do not. The gap between an ETF's actual performance and its index performance is measured in two distinct ways: tracking difference and tracking error.

7 min readUpdated

This is general educational information, not personal financial advice.

These terms are often used interchangeably, including in financial media and some product marketing. They measure different things. Understanding the distinction is useful for evaluating which ETF is likely to come closest to delivering its benchmark over time.

Key takeaway

Tracking difference measures the average gap between ETF returns and index returns over a period. Tracking error measures how consistently that gap occurs. Both matter when assessing ETF quality.

This is general educational content, not personal financial advice. Past performance is not a reliable guide to future returns.


The Gap Between ETF and Index#

An index like the S&P/ASX 200 is a theoretical construct. It tracks a group of securities by rules, but it does not pay brokerage, hold cash between trades, or charge management fees.

An ETF tracking the same index operates in the real world. It must:

  • Pay a management fee (the MER) to the provider
  • Incur brokerage costs when buying and selling securities to track index changes
  • Hold some cash to manage inflows and redemptions
  • Potentially receive dividends with slight timing differences
  • In some cases, earn income from securities lending

The result is that no ETF ever perfectly matches its index return. The gap can be positive (ETF outperforms the index after fees) or negative (ETF underperforms), and it varies over time.


Tracking Difference: The Size of the Gap#

Tracking difference is the cumulative difference between an ETF's return and its benchmark index return over a specific period.

Tracking difference = ETF return − Index return (over the same period)

Example: If the S&P/ASX 200 returned 10.0% in a financial year and an ETF tracking it returned 9.85%, the tracking difference for that year is -0.15%.

A negative tracking difference means the ETF underperformed its index. A positive tracking difference means it outperformed. For index-tracking ETFs, underperformance by roughly the amount of the MER is typical, as fees are the primary drag. If the tracking difference is significantly worse than the MER, other costs or operational inefficiencies may be at work.

Tracking difference is a summary number. It tells you the size of the gap over a chosen period, but not whether that gap was stable or erratic.


Tracking Error: The Consistency of the Gap#

Tracking error (also called "active risk" in some contexts) measures how consistent the gap between the ETF and its index is over time. It is typically calculated as the standard deviation of the daily or periodic differences between ETF returns and index returns.¹

A low tracking error means the ETF consistently performs close to the index, even if there is a small, persistent gap. A high tracking error means the gap fluctuates significantly, sometimes the ETF outperforms, sometimes it underperforms, with less predictability.

Why consistency matters: Two ETFs might both have a -0.15% annual tracking difference on average, but one might consistently deliver exactly -0.15% while another swings between -0.05% and -0.40%. For investors who want predictable replication of an index, the more consistent ETF (lower tracking error) is generally preferable.

A Simplified Illustration#

ETFAnnual Tracking DifferenceMonthly GapsTracking Error
ETF A-0.12%Consistently -0.01% per monthLow
ETF B-0.12%Ranges from +0.05% to -0.20% per monthHigher

Both ETFs have the same annual tracking difference, but ETF A is more predictable in its replication.


What Causes Tracking Error#

Several factors create variability in the ETF-to-index gap:

Cash drag. ETFs receive inflows and dividends in cash that must be reinvested. The time between receiving and deploying cash means the ETF is not fully invested at all times. If markets move sharply during this period, the gap widens.

Sampling vs full replication. Some ETFs (particularly those tracking large indices with many illiquid securities) use sampling: they hold a representative subset of the index rather than every constituent. Sampling can reduce costs but introduces basis risk.

Reconstitution costs. When an index changes its constituents (stocks are added or removed), the ETF must trade to match. If prices move in anticipation of these changes, the ETF may buy at higher prices than the index assumed.

Securities lending income. Some ETFs lend their underlying securities to earn additional income. This can reduce the tracking difference (improving returns) but introduces a small amount of counterparty risk.

Dividend timing. The index assumes dividends are reinvested immediately. ETFs receive dividends and must distribute or reinvest them, sometimes with a slight delay.


Which Metric to Focus On#

For a buy-and-hold investor, tracking difference is generally the more actionable metric. It tells you whether the ETF has, on average, cost you more or less than the stated MER implies.

Tracking error is more important in situations where:

  • The ETF is used as a precise building block in a portfolio that is rebalanced regularly (small fluctuations in replication quality affect portfolio targets)
  • The ETF tracks a narrow or illiquid index where replication is inherently harder
  • You are comparing two ETFs with similar tracking differences and want to assess which is more reliable

For most Australian retail investors holding broad-market ETFs over long periods, tracking difference is the primary signal and tracking error is a secondary check.


How to Find This Data#

In Australia, ETF providers publish annual or semi-annual reports containing return data. To calculate tracking difference yourself:

  1. Find the ETF's published return for a full year (available in the annual report or on the provider's website).
  2. Find the benchmark index return for the same period (available from the index provider or financial data services).
  3. Subtract: ETF return − Index return = Tracking difference.

For tracking error, the calculation requires periodic (ideally daily) return data for both the ETF and the index, which is less commonly available to retail investors directly. Some third-party services aggregate this data.

When reviewing product disclosure statements (PDS) for Australian ETFs, the management cost and benchmark comparison sections often contain enough information to estimate tracking difference.


A Template for Comparing ETFs on an Index#

When two ETFs track the same index, the following comparison checklist surfaces the most relevant cost and quality factors:

FactorWhat to Check
MERLower is generally better, all else equal
Historical tracking difference (1, 3, 5 year)Closer to zero is better; positive is favourable
Tracking errorLower is better for predictable replication
Fund size (AUM)Larger funds often have narrower spreads and more consistent operations
Securities lendingDisclosed in PDS; understand the practice and its income contribution
Bid-ask spreadCheck during mid-session trading, not market open
Distribution frequencyRelevant for tax timing preferences

No single ETF wins on every factor. The comparison should be weighted by your own holding period, tax situation, and rebalancing frequency.


Summary#

Tracking difference is the cumulative gap between an ETF's actual return and its benchmark index return over a chosen period. Tracking error measures how consistently that gap occurs over time. For long-term investors, tracking difference is the primary measure of ETF efficiency: it tells you how much the ETF has diverged from its index, net of fees and other operational factors. Tracking error is a secondary measure of reliability. Both can be estimated from publicly available data, though tracking error requires periodic return data that is harder to access directly. When comparing ETFs on the same index, reviewing both measures alongside MER and bid-ask spread gives a more complete picture of total cost and replication quality.


Sources#

  1. Morningstar. (2023). Measures of ETF tracking quality. Morningstar Research. https://www.morningstar.com/etfs
  1. ETF Securities (now Global X). (2023). ETF performance comparison. https://www.globalxetfs.com.au/
  1. Vanguard Australia. (2024). How Vanguard ETFs are managed. https://www.vanguard.com.au/personal/learn-and-plan/etfs/about-vanguard-etfs

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