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UD04
+3.06 · +15.39%
£22.94 · LSE
UBS(Lux)Fund Solutions – Factor MSCI EMU Quality UCITS ETF(EUR)A-dis | Eurozone Large-Cap Equity
UBS Asset Management (Europe) S.A. · Luxembourg
AUM:£66.4M
#– of – in Eurozone Large-Cap Equity ETFs
ℹ️
Reward Rating
57
Good
-6.10% 1Y return
ℹ️
Risk Rating
48
Moderate
Risk Assessment
ℹ️

Educational tool only – Scores are based on historical data, holdings and expense metrics for informational purposes. This is not financial advice or a recommendation to buy or sell any security. Always conduct your own research or consult a qualified financial adviser.

Market Performance

📉 Down 6.1% over the past year, indicating modest price weakness.

Cost Efficiency

💰 Ongoing charge of 0.30% — competitive for the exposure provided.

What is UD04?

UBS(Lux)Fund Solutions – Factor MSCI EMU Quality UCITS ETF(EUR)A-dis tracks Morningstar Dev Ezn TME NR EUR, providing diversified exposure across 49 holdings. Its ongoing charge is 0.30%.

Performance Highlights

Investment Breakdown

Negative 12-Month Return
UD04 returned -6.1% over the past year, reflecting recent market conditions.
Competitive Ongoing Charge
Ongoing charge of 0.30% — reasonable for the index exposure provided.
Moderate Concentration
Top 10 holdings make up 41.7% of the ETF — a moderate level of name concentration.

Openbook Analysis

Performance: Good (57)

The scoring profile reflects moderate historical performance, with a -6.1% 1-year return (historical). The ongoing charge of 0.30% is reasonable for this exposure. Risk indicators are moderate, in line with typical market exposure (historical).

For informational and educational purposes only. Not financial advice. Past performance is not indicative of future results.

ETF Information
AUM£66.4M
Ongoing Charge0.30%
Dividend Yield2.48%
Holdings49
Inception DateAug 2015
DomicileLuxembourg
DistributionHalf-yearly
IndexMorningstar Dev Ezn TME NR EUR
ProviderUBS Asset Management (Europe) S.A.
Beta–
CategoryEurozone Large-Cap Equity
CurrencyGBX
Portfolio Impact

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6168
+7 points · better diversified
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Uses ISF.L (iShares FTSE 100 ETF)
Indicators

Performance Metrics

Historical returns

6M
+2.2%
1Y
+0.7%
3Y
+13.0%
5Y
+15.4%
OpenBook InsightIf you had invested £10,000 in UD04 5 years ago, it would have grown to £11,535 — a gain of £1,535.

Annual Returns

Calendar year performance

UD04 delivered positive returns in 4 of the last 5 calendar years.
YearUD04
2026 YTD+1.6%
2025+6.6%
2024+2.3%
2023+13.9%
2022-14.7%
CAGR 4yr+1.4%
4/5 positive yearsAvg return: +1.9%Worst year: -14.7% (2022)

Technical Analysis Summary

Automated insights from historical price action and indicators

Technical Regime: POSITIVE
Trend Strength
100%
Positive
Volatility
15.0%
Low
Momentum
+1.6%
30-day change
Support Level
22.21
Key floor
Key Insights
  • Price is currently trading above all key moving averages.
  • Price is consolidating, with low momentum over the recent period.
  • Low volatility environment with a narrower recent trading range.

Reward Rating Breakdown

Our reward rating analyses UD04's attractiveness using 4 weighted factors. Each factor is scored 0-100, then combined using the weights shown below. Past performance does not guarantee future results.

Overall Reward Rating
57
Good REWARD
Data Coverage: %
Factor Framework
Performance
Has the ETF delivered strong historical returns versus similar ETFs?
Cost Efficiency
Is the ETF cheap to own over long periods?
Income
Does it provide attractive and consistent distributions?
Diversification Quality
Does it spread exposure across holdings, sectors, and regions?

📈 Performance

Weight: 30%
45/100

Has the ETF delivered strong historical returns versus similar ETFs? Combines 1/3/5/10-year returns with the Sharpe ratio (risk-adjusted return).

1Y Return
-6.10%
Very Weak
3Y Return
3.50%
Weak
5Y Return
4.74%
Neutral
10Y Return
7.41%
Good
Sharpe Ratio
—
No Data

Moderate performance profile: 1-year return of -6.10%, 3-year annualised 3.50%, 5-year annualised 4.74%. Past performance is not indicative of future results.

💰 Cost Efficiency

Weight: 30%
80/100

Is the ETF cheap to own over long periods? Low ongoing charges compound into meaningful additional returns over a 10-year horizon.

Ongoing Charge
0.30%
Neutral
Net Expense Ratio
0.00%
Very Good
Annual Turnover
0.68%
Very Good
Tracking Difference
—
No Data

Low-cost and efficient structure: ongoing charge of 0.30%, net expense ratio of 0.00%, annual turnover of 0.7%.

💵 Income

Weight: 15%
65/100

Does the ETF provide attractive and consistent distributions? Combines the current yield with distribution frequency.

Distribution Yield
2.48%
Weak
Distribution Frequency
Half-yearly
No Data

Reasonable income characteristics: distribution yield of 2.48%, half-yearly distributions.

🌐 Diversification Quality

Weight: 25%
40/100

Does the ETF spread exposure across many holdings, sectors, and regions? Concentrated funds can be doing exactly what they're meant to do — treat the score as context, not a verdict.

Holdings
49
Very Weak
Top 10 Concentration
41.72%
Weak
Top Sector
Technology20.7%
Good
Top Region
Europe Developed95.4%
Very Weak

Concentrated but typical for its category: 49 holdings, top 10 at 41.7%, Technology sector at 20.7%, Europe Developed at 95.4%.

Scores are derived from fund-provider disclosures and historical data. For informational and educational purposes only — not investment advice. Past performance is not indicative of future results.

Risk Rating Breakdown

Our risk rating analyses UD04 using 4 weighted factors. A higher score indicates higher risk. This is a framework for understanding exposure — concentrated funds can still be doing exactly what they're meant to do.

Overall Risk Rating
48
Moderate RISK
Data Coverage: 83%
Factor Framework
Holdings Concentration
How much of the fund sits in its largest positions? Few dominant names mean returns ride on those companies.
Market Exposure
Geographic, sector and cyclical dependencies. High single-country or single-sector weight increases macro sensitivity.
Volatility
Historical price movement, beta and drawdowns — how sharply the fund moves relative to the market.
Income Reliability
How dependable the distribution yield is — cyclical-sector dependency and unusually high yields can flag payout risk.

🎯 Holdings Concentration

Weight: 25%
52/100

How much of the fund sits in a small number of positions? If the top holdings dominate, returns will be driven by those specific companies rather than the broader index.

Top 10 Weight
41.72%
Moderate
Largest Holding
10.57%
Elevated
Number of Holdings
49
Elevated
HHI (weight²)
223
Low Risk

Moderate holdings concentration: top 10 holdings at 41.7%, largest single position at 10.57%, 49 total holdings.

🌍 Market Exposure

Weight: 25%
64/100

How dependent is the fund on a single country, sector or economic cycle? Heavy exposure to one market means a single macro event can drive most of the return.

Top Region
Europe Developed95.4%
High Risk
Top Sector
Technology20.7%
Lower Risk
Top 2 Sectors
40.04%
Moderate
Cyclical Sectors
37.58%
Moderate

Notable regional or sector dependency: Europe Developed at 95.4%, Technology sector at 20.7%, 37.6% in cyclical sectors.

📊 Volatility

Weight: 35%
35/100

How sharply does the fund move day-to-day and how deep have its drawdowns been? High volatility means wider return outcomes over short horizons.

1Y Volatility
11.41%
Lower Risk
Beta
—
No Data
Max Drawdown
—
No Data

Moderate volatility in line with broad market: 1Y volatility of 11.41% (historical).

💵 Income Reliability

Weight: 15%
48/100

How dependable is the fund's distribution yield? Heavy cyclical-sector exposure or unusually high yields can flag vulnerability to dividend cuts in a downturn.

Current Yield
2.48%
Lower Risk
Cyclical Sector Exposure
37.58%
Moderate
Top-Sector Dependency
Technology20.7%
Lower Risk

Income profile is reasonably diversified: yield of 2.48%, 37.6% in cyclical sectors (financials, energy, materials, industrials, real estate), Technology sector at 20.7%.

Scores are derived from fund-provider disclosures and historical data. For informational and educational purposes only — not investment advice. Risk scoring is model-based and past data does not guarantee future results.
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