Composite Score
(0 → 1 positioning score)A single, decomposable score designed to forecast and evaluate distribution success — not investment performance. Decomposes into per-metric contributions across Performance, Expense, and Portfolio.
Scoring · Methodology v1.0
Performance and distribution success are not the same
A fund can beat its peers and still watch flows go elsewhere — or lag on paper and gather assets anyway. Opportunity Finder explains that gap: how a fund is positioned to grow versus how it has actually grown.
For every U.S. mutual fund and ETF, we distill the characteristics that drive flows into a single Composite Score — a forward signal of how a fund is positioned to grow over the next twelve months.
The same score grades the past. A fund’s score twelve months ago implied the growth it should have captured; its gap from what it actually captured is Distribution Alpha. Finally, we turn that gap into dollars — revenue gained, or revenue still on the table — so you can focus on the areas with the largest business impact.
Three scoring pillars · ~90 observable characteristics
Performance
Returns, risk-adjusted measures, and capture ratios versus the category benchmark.
Expense
Expense ratios, management fees, distribution fees, and waivers.
Portfolio
Holdings-based characteristics: style, sector, credit, duration, region, and scale.
Scoring universe
U.S. Funds + ETFs Universe
Funds with sufficient operating history and comparable peer definitions. Track records under 12 months are excluded.
~2,000 Peer groups
Morningstar Category × Share Class Type groups (Broker, Advisor, Institutional, Retirement, Investor, ETF).
2015 Backtested from
Historical calibration built on data dating back to 2008.
The composite is the foundation. Three further layers turn it into an expectation, a gap, and a dollar figure — so funds can be ranked by business impact.
Predicted Growth
(% organic growth, next 12 months)The composite translated into an expectation. A peer-group regression of realized organic growth on lagged composite score yields the growth a fund’s positioning should earn — published with slope, intercept, and R².
Distribution Alpha
(actual − predicted growth, %)Surfaces under- and over-distributed funds. Negative alpha implies strength isn’t converting into flows; positive implies distribution is winning beyond fundamentals. Also published as percentile and quintile.
Revenue Uplift
($ annual management fee)Distribution Alpha priced in fee dollars — uplift captured and opportunity still on the table — so funds can be ranked by business impact, not just signal strength.
Composite0.74 Predicted+8.2% − Actual+1.4% = Distribution Alpha−6.8%
Why forward organic growth, not AUM?
AUM is a stock, not a flow. A large fund is large because of decisions made years ago — today’s distribution dynamics live in this period’s net flows. Forward organic growth normalizes for fund size and isolates what’s actually happening with new money.
Why peer-relative? Why not absolute?
A fund growing 8% sounds good — until you learn its category averaged 14%. Investors and intermediaries make selection decisions inside categories, not across them. Peer-relative scoring matches the decision context. Absolute growth is still preserved in the dependent variable, because absolute flows are what hit the revenue line.
How do you handle young funds with limited history?
A fund without 5 years of returns is scored on the metrics it does have. Weights are redistributed mechanically across available metrics so the composite still sums correctly and remains comparable to peers. Younger funds get scored on a narrower factor set, which can make their scores more volatile — a known tradeoff.
What about survivorship bias?
Liquidated and merged funds remain in the historical record for all periods during which they were active. Their flow and metric data still inform IC calculations and clustering training windows. Excluding closed funds would systematically inflate the apparent predictive power of certain metrics.
How often does the data refresh?
The full pipeline runs monthly. Composite scores, weights, Distribution Alpha, mean reversion, and revenue estimates all update on a month-end cadence.
What if our category is small or unusual?
Minimum peer-group sizes are enforced: 10 funds for composite publication, 7 for portfolio clustering, 15 observations for weight optimization. Below threshold = no scored output. We’d rather be silent than wrong.
Can the score be gamed?
Most inputs (expense ratios, returns, portfolio characteristics) are publicly reported or determined by genuine investment decisions. A fund "improving" its score by lowering fees, improving performance, or changing exposures has done real, substantive work that should be reflected in flows. That’s the model working correctly.
Why not just publish absolute return forecasts?
Opportunity Finder is a distribution analytics framework, not a performance forecaster. We’re modeling flow behavior — which fund characteristics attract investor dollars — not return generation. The composite predicts organic growth, not alpha versus a benchmark.
Scoring
Go deeper with our team
Request a walkthrough of the scoring approach and see how Distribution Alpha translates into decisions for your firm.