Portfolio Lab
Style analysis Preview

Which style is inside your fund?

Style analysis looks for the fixed mix of style indices that best replicates a fund's returns. This mix is the style benchmark; what the fund does better or worse is the manager's selection return.

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How it works

The method goes back to William Sharpe (1992): instead of looking at a fund's holdings, it compares only its monthly returns with those of simple building blocks such as global equities, emerging markets, bonds, gold and money market. It looks for weights of at least 0% that add up to 100% and keep the tracking error (the fluctuation of the difference) as small as possible.

Read the result in three steps: the style weights show how the fund actually behaved, e.g. like a mix with a little more than half in stocks. The R² says how much of the fluctuation the styles explain. Selection is the fund's return minus that of the style benchmark; if it is negative, the passive mix would have earned more.

Estimated on a rolling window of e.g. 36 months, it shows whether the manager shifts style (style drift). Weights from the preceding months only give a style benchmark without hindsight (out of sample); this is how Sharpe recommends measuring selection.

What a result looks like

Sample data

Made-up sample data, no real prices and no recommendation. Calculated with the same methods as the tool itself.

Inputs in this example

Locked: you can't change the inputs in the preview.

Fund or portfolio
Balanced Fund B
Style indices
Global equities, Equities emerging markets, Bonds, Gold, Money market euro
Method
Sharpe: weights ≥ 0, sum 100%
Currency
EUR
Window for the rolling analysis
36 months
Period
01/2006 to 12/2025

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Selection p.a.-0.43%
Style benchmark p.a.5.78%
R²0.958
Selection out of sample-0.76%

Fund 5.35% p.a. · tracking error 1.6% · information ratio -0.25 · t-stat -1.1. Selection = fund return p.a. minus style benchmark return p.a.; |t| > 2 counts as roughly significant.

Style weights 01/2006 to 12/2025

Weight with standard error and range; contribution = weight × avg. return of the style.

StyleWeightStandard errorRange (±2 SE)Avg. return p.a.Contribution p.a.Given in the example (avg.)
Global equities44.6%1.2%42% to 47%7.9%3.50%45.0%
Bonds35.7%2.2%31% to 40%3.5%1.25%37.5%
Money market euro9.8%37.6%0% to 85%4.7%0.46%7.5%
Equities emerging markets6.9%0.7%5% to 8%7.7%0.53%7.5%
Gold3.1%0.8%2% to 5%5.6%0.17%2.5%

The analysis only knows the monthly returns and recovers the given mix on average. The money market barely fluctuates, so its weight is uncertain (large standard error).

Rolling style weights (36 months)

For each window end, the weights of the preceding months.

Global equitiesEquities emerging marketsBondsGoldMoney market euro

The given mix moves evenly from 35% Global equities, 5% Equities emerging markets, 50% Bonds, 10% Money market euro to 55% Global equities, 10% Equities emerging markets, 25% Bonds, 5% Gold, 5% Money market euro. Style shift 15.1% per year on average.

Where does the return come from?

Arithmetic averages: avg. fund return = Σ weight × avg. style return + avg. selection.

Source of returnWeightAvg. return p.a.Contribution p.a.
Global equities44.6%7.9%3.50%
Equities emerging markets6.9%7.7%0.53%
Bonds35.7%3.5%1.25%
Gold3.1%5.6%0.17%
Money market euro9.8%4.7%0.46%
Style benchmark100.0%–5.93%
Selection––-0.40%
Fund–5.5%5.53%

Cumulative excess return of the fund

When the line rises, the fund beats the passive mix of the same styles.

Vs. style benchmarkVs. style benchmark (out of sample)

Assumptions: Fund entirely made up: each month the given mix of the five styles, -0.9% p.a. for costs and selection and a random residual of 1.2% p.a. The styles are the made-up building blocks and a made-up money market.

Frequently asked questions

What is a returns-based style analysis?

A regression with constraints: a fund's monthly returns are explained by a mix of style indices. All you need are the fund's prices, no holdings lists.

What is the selection return?

The difference between the fund's return and the return of the style benchmark. If it is negative after costs, a passive mix of the same styles would have earned more.

What is style drift?

When the estimated style weights shift clearly over time, e.g. from defensive to aggressive. That can be a deliberate decision by the manager, but part of it is always estimation noise.

Which style indices should I choose?

A few that differ clearly and cover the fund's investment universe: asset classes for multi-asset funds, regions for global equity funds, maturities for bond funds. Indices that move alike make the weights uncertain.

How does this differ from factor analysis?

Factor analysis explains excess returns with factors such as value or momentum, and the weights are free. Style analysis looks for an investable mix of indices with weights of at least 0% that add up to 100%.

Learn more in the knowledge base

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Price
Free during the beta
Data
Prices, interest rates, inflation and factors from public sources
Privacy
Servers in the EU, no ads, statistics without cookies
Devices
Computer and phone, everything saved in your account

All numbers and charts on this page are based on made-up sample data, not on real prices. Not investment advice: results in Portfolio Lab are model calculations based on historical data and your inputs. Past performance is not a reliable indicator of future results.