A quartile rank is read as a statement about a fund. It is a statement about a fund’s position in a distribution, and the smaller that distribution, the less the position means.
The method is identical whether a category holds 8 funds or 80: split by return, top 25% is Q1, bottom 25% is Q4. What follows concerns why the identical method produces a far noisier signal in the smaller case.
Eight Funds, Two per Quartile
Take a small category of eight illustrative funds with one-year returns clustered tightly together, as similar funds in the same category often are:
Eight illustrative funds in one category, returns 0.1 percentage points apart, split into quartiles of two funds each. Numbers are constructed to show the mechanism, not drawn from real schemes.
Each quartile holds exactly two funds. The fund returning 12.1% sits in the third quartile; the fund returning 12.2% sits in the second. A tenth of a percentage point - well inside a single year’s ordinary variation between two similar funds, and smaller than the expense-ratio difference between many of them - is the entire distance between two ranks that look categorically different on a factsheet.
Boundary Density Is the Mechanism
The same 0.1-point gap in a category of eighty funds spread from 8% to 18% would typically sit two or three funds away from a boundary rather than exactly on one.
That is the whole effect. Quartile edges in a small category fall inside the same crowded, tightly bunched range where most of the funds actually sit, so a larger share of the category is close enough to an edge for next year’s ordinary variation to flip its rank. In a wide category the edges fall in sparser regions of the distribution and the same noise moves fewer funds across them.
The consequence is that rank volatility is a property of category size, not of manager consistency - and the two are routinely confused when a fund is described as having “slipped a quartile.”
What the Rank Still Tells You
None of this makes quartile ranking meaningless. A fund parked in Q4 for several consecutive years, in any category size, is a real signal - persistence across independent periods is not something noise produces easily.
The distinction is between level and persistence. A single rank in a narrow category can describe a rounding difference. A sustained rank across several years describes the fund.
What This Means for Allocators
Check the category population before reading the rank. It is disclosed, it takes seconds, and it determines how much the rank can carry.
Weight consecutive quartiles over any single one. One year of Q2 versus Q3 in an eight-fund category is close to uninformative; four consecutive years is not.
And treat a one-quartile move in a narrow category as noise until something else corroborates it. The number of funds sharing the category is part of reading the ranking, not a footnote to it.
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