What is Tracking Error?
Every fund is measured against a benchmark, and the gap between the two changes from month to month. Tracking Error is the standard deviation of that gap: how much the fund’s return minus the benchmark’s return bounces around. It does not say whether the fund is ahead or behind, only how far it strays from the benchmark’s path.
For an index fund the goal is a tracking error close to zero, since the fund is meant to replicate the index. For an active fund it is the price of being different: a manager who owns a portfolio unlike the benchmark will necessarily have a higher tracking error, and that is where both the potential outperformance and the potential underperformance come from.
Tracking Error = σ(Rp − Rb)
Lower means the fund tracks its benchmark closely. Higher means it deviates more, in either direction.
Real comparison across 6 funds
CHART
3Y Tracking Error (%) - 6 real funds
Each fund is measured against its own benchmark over the same 3-year window used for the other risk metrics.
Funds compared: Parag Parikh Flexi Cap · DSP Value · ICICI Prudential Value · SBI Focused · Parag Parikh ELSS Tax Saver · SBI Multicap
As a worked example, Parag Parikh Flexi Cap has a 3-year tracking error of 7.28% against Nifty 500 TRI. That is how much its return gap to the benchmark varied, on an annualized basis - it says nothing about whether the gap was positive.
Tracking Error versus tracking difference
The two are easy to confuse. Tracking difference is the plain gap between the fund’s return and its benchmark’s return over a period - it can be positive or negative, and it is what you actually earn or lose relative to the benchmark. Tracking Error is the volatility of that gap. A fund can have a small average tracking difference but a large tracking error if it swings between beating and lagging the benchmark, and a fund can have a tiny tracking error while steadily lagging by its expense ratio every year.
How to read the numbers above
Across these 6 funds, 3-year tracking error runs from 5.63% (ICICI Prudential Value) to 8.07% (DSP Value). The spread comes from how differently each portfolio is built relative to its benchmark: a fund that owns a similar mix of stocks and weights moves with the benchmark and shows a low number, while a concentrated or style-tilted fund diverges and shows a high one.
Parag Parikh Flexi Cap sits at 7.28% with an R-squared of 0.72 and a beta of 0.62, so its benchmark explains only part of its movement. Its alpha over the same window is 3.47% and its Information Ratio is 0.23. Tracking Error is the denominator of that ratio, which is why the same alpha earned with a higher tracking error produces a lower Information Ratio.
Where Tracking Error fits in fund selection
For a passive fund, lower is better and the number is a quality check on how faithfully the fund replicates its index. For an active fund the question is different: is the deviation being paid for? Compare Tracking Error with Alpha, the Information Ratio and R-Squared before drawing a conclusion. Always compare funds of the same category against the same benchmark and the same window, since a mid cap fund and a large cap fund measured against different indices are not comparable on this number.
WHAT THIS MEANS FOR YOU A very low tracking error in an actively managed fund can signal “closet indexing”: you pay active-fund fees for a portfolio that behaves like the index. A high tracking error is not bad in itself, but it means the fund can lag its benchmark by a wide margin in some years, so it only makes sense if you can stay invested through those stretches. Read it together with Alpha and the Information Ratio, which tell you whether the deviation has paid off.
METHODOLOGY Computed over a trailing 3-year window as of 2026-08-31, using each fund’s own benchmark. Data: Punji risk analytics. Not investment advice.