ECOG
+0.22 · +1.60%
£14.02 · LSE
Legal & General UCITS ETF Plc - L&G Ecommerce Logistics UCITS ETF | Sector Equity Technology
LGIM Managers (Europe) Limited · Ireland
AUM:£116.9M
#– of – in Sector Equity Technology ETFs
ℹ️
Reward Rating
60
Good
5.56% 1Y return
ℹ️
Risk Rating
46
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

📈 Up 5.6% over the past year, showing positive momentum.

Cost Efficiency

Ongoing charge of 0.49% — moderate cost. Consider how fees compound over long holding periods.

What is ECOG?

Legal & General UCITS ETF Plc - L&G Ecommerce Logistics UCITS ETF tracks Morningstar Gbl Tech NR USD, providing diversified exposure across 49 holdings. Its ongoing charge is 0.49%.

Performance Highlights

Investment Breakdown

Positive 1-Year Return
ECOG returned 5.6% over the past year. Historical returns only — past performance is not indicative of future results.
Moderate Cost
Ongoing charge of 0.49%. Consider how fees compound over a long holding period.
Broadly Diversified
Top 10 holdings represent just 28.7% of the ETF — exposure spread across many positions.

Openbook Analysis

Performance: Good (60)

The scoring profile reflects moderate historical performance, with a 5.6% 1-year return (historical). The ongoing charge of 0.49% should be considered against long-term return expectations. 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£116.9M
Ongoing Charge0.49%
Dividend Yield4.38%
Holdings49
Inception DateJan 2018
DomicileIreland
DistributionNA
IndexMorningstar Gbl Tech NR USD
ProviderLGIM Managers (Europe) Limited
Beta
CategorySector Equity Technology
CurrencyGBX
Portfolio Impact

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

Performance Metrics

Historical returns

6M
+0.2%
1Y
+7.5%
3Y
+18.9%
5Y
+14.3%
OpenBook InsightIf you had invested £10,000 in ECOG 5 years ago, it would have grown to £11,428 — a gain of £1,428.

Annual Returns

Calendar year performance

ECOG delivered positive returns in 3 of the last 5 calendar years.
YearECOG
2026 YTD-0.5%
2025+2.4%
2024+5.6%
2023+13.3%
2022-11.0%
CAGR 4yr+2.2%
3/5 positive yearsAvg return: +1.9%Worst year: -11.0% (2022)

Technical Analysis Summary

Automated insights from historical price action and indicators

Technical Regime: POSITIVE
Trend Strength
100%
Positive
Volatility
13.0%
Low
Momentum
+1.6%
30-day change
Support Level
13.23
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 ECOG'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
60
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%
44/100

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
5.56%
Weak
3Y Return
8.02%
Good
5Y Return
3.19%
Weak
10Y Return
0.00%
Weak
Sharpe Ratio
No Data

Moderate performance profile: 1-year return of 5.56%, 3-year annualised 8.02%, 5-year annualised 3.19%. Past performance is not indicative of future results.

💰 Cost Efficiency

Weight: 30%
73/100

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

Ongoing Charge
0.49%
Weak
Net Expense Ratio
0.00%
Very Good
Annual Turnover
0.00%
Very Good
Tracking Difference
No Data

Low-cost and efficient structure: ongoing charge of 0.49%, net expense ratio of 0.00%, annual turnover of 0.0%.

💵 Income

Weight: 15%
80/100

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

Distribution Yield
4.38%
Good
Distribution Frequency
NA
No Data

Attractive income profile: distribution yield of 4.38%, na distributions.

🌐 Diversification Quality

Weight: 25%
51/100

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
28.68%
Neutral
Top Sector
Industrials45.1%
Very Weak
Top Region
North America39.0%
Very Good

Concentrated but typical for its category: 49 holdings, top 10 at 28.7%, Industrials sector at 45.1%, North America at 39.0%.

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 ECOG 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
46
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%
38/100

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
28.68%
Lower Risk
Largest Holding
3.32%
Lower Risk
Number of Holdings
49
Elevated
HHI (weight²)
83
Low Risk

Reasonable spread across positions: top 10 holdings at 28.7%, largest single position at 3.32%, 49 total holdings.

🌍 Market Exposure

Weight: 25%
73/100

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
North America39.0%
Lower Risk
Top Sector
Industrials45.1%
High Risk
Top 2 Sectors
72.36%
High Risk
Cyclical Sectors
55.29%
Elevated

High market-exposure risk — returns closely track a narrow slice of the market: North America at 39.0%, Industrials sector at 45.1%, 55.3% in cyclical sectors.

📊 Volatility

Weight: 35%
20/100

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
8.85%
Lower Risk
Beta
No Data
Max Drawdown
No Data

Below-average volatility: 1Y volatility of 8.85% (historical).

💵 Income Reliability

Weight: 15%
78/100

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
4.38%
Moderate
Cyclical Sector Exposure
55.29%
Elevated
Top-Sector Dependency
Industrials45.1%
High Risk

Distributions appear cyclically sensitive — yield may be vulnerable to cuts in a downturn: yield of 4.38%, 55.3% in cyclical sectors (financials, energy, materials, industrials, real estate), Industrials sector at 45.1%.

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.