Tracking Error

Investment Vehicles High Relevance

The standard deviation of the difference between a portfolio's returns and its benchmark's returns, measuring how consistently a fund follows (or deviates from) its benchmark. Low tracking error (1-2%) indicates passive management closely following the benchmark, while high tracking error (4-7%) indicates active management with significant deviations. Expressed as an annualized percentage.

Example

An S&P 500 index fund with 0.5% tracking error closely mimics the index, with return differences staying within 0.5% in most periods. An actively managed large-cap fund with 8% tracking error makes significantly different holdings and timing decisions than its S&P 500 benchmark.

Common Confusion

Students often confuse tracking error with alpha. Tracking error measures the consistency of return differences (volatility of excess returns), while alpha measures the average excess return itself. Also, lower tracking error is not always better: active managers intentionally seek higher tracking error to generate alpha.

How This Is Tested

  • Distinguishing between appropriate tracking error levels for passive vs. active strategies
  • Interpreting what low tracking error indicates about portfolio management style
  • Understanding that tracking error measures consistency of excess returns, not the excess return itself
  • Recognizing how index funds minimize tracking error through full replication or sampling
  • Comparing tracking error to alpha and R-squared in performance evaluation

Calculation Example

Scenario: Portfolio monthly excess returns vs. benchmark over 12 months: +0.3%, -0.2%, +0.4%, -0.1%, +0.2%, -0.3%, +0.1%, -0.2%, +0.5%, -0.1%, +0.2%, -0.3%
Formula: Tracking Error = Standard Deviation of (Portfolio Return - Benchmark Return) × √12
Steps:
  1. Calculate excess returns for each period (already given)
  2. Calculate mean excess return: (0.3 - 0.2 + 0.4 - 0.1 + 0.2 - 0.3 + 0.1 - 0.2 + 0.5 - 0.1 + 0.2 - 0.3) / 12 = 0.042%
  3. Calculate variance of excess returns around the mean
  4. Take square root to get monthly standard deviation: ~0.25%
  5. Annualize by multiplying by √12: 0.25% × 3.46 = 0.87%
Result: Tracking error = 0.87%, indicating tight benchmark tracking typical of a well-managed index fund

Example Exam Questions

Test your understanding with these practice questions. Select an answer to see the explanation.

Question 1

Marcus, a portfolio manager for a pension fund, oversees an S&P 500 index fund designed to replicate market performance with minimal costs. Over the past year, the fund has a tracking error of 0.40%, an expense ratio of 0.05%, and has closely matched the S&P 500 returns. The pension board is evaluating whether Marcus is meeting the fund's objective. Which assessment is most accurate?

Question 2

What does tracking error measure in portfolio performance analysis?

🔥

Master Investment Vehicles Concepts

CertFuel's spaced repetition system helps you retain key terms like Tracking Error and 500+ other exam concepts. Start practicing for free.

Access Free Beta
Question 3

An equity mutual fund benchmarked against the Russell 2000 Small-Cap Index has a tracking error of 12%. What does this tracking error level most likely indicate about the fund's management approach?

Question 4

All of the following statements about tracking error are accurate EXCEPT

Question 5

Fund A is marketed as a passively managed S&P 500 index fund with a 0.65% tracking error and 0.09% expense ratio. Fund B is an actively managed large-cap fund with a 7.5% tracking error and 1.15% expense ratio. Both are benchmarked to the S&P 500. Which of the following statements are accurate?

1. Fund A's tracking error indicates it closely follows the S&P 500
2. Fund B's higher tracking error suggests it makes significantly different investment decisions than the benchmark
3. Fund A should have higher tracking error than Fund B to justify its passive strategy
4. Fund B's tracking error level is appropriate for an active management approach

💡 Memory Aid

Think of tracking error as measuring how tightly a dog follows its owner on a leash. Low tracking error (0.5-2%) = short leash (passive index fund stays close to benchmark). High tracking error (5%+) = long leash (active manager wanders far from benchmark). Key: Tracking error measures the consistency of wandering (standard deviation), not the average distance. Alpha measures the average distance.

Related Concepts

This term is part of this cluster: