ESGB
-3.64 · -6.92%
£48.90 · LSE
VanEck Vectors Video Gaming and eSports UCITS ETF A USD | Sector Equity Technology
VanEck Asset Management B.V. · Ireland
AUM:£651.0M
#– of – in Sector Equity Technology ETFs
ℹ️
Reward Rating
58
Good
6.10% 1Y return
ℹ️
Risk Rating
66
Elevated
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 6.1% over the past year, showing positive momentum.

Cost Efficiency

Ongoing charge of 0.55% — moderate cost. Consider how fees compound over long holding periods.

What is ESGB?

VanEck Vectors Video Gaming and eSports UCITS ETF A USD tracks Morningstar Gbl Tech NR USD, providing diversified exposure across 25 holdings. Its ongoing charge is 0.55%.

Performance Highlights

Investment Breakdown

Positive 1-Year Return
ESGB returned 6.1% over the past year. Historical returns only — past performance is not indicative of future results.
Moderate Cost
Ongoing charge of 0.55%. Consider how fees compound over a long holding period.
Concentrated Holdings
Top 10 holdings account for 59.4% of the ETF — significant weight in a small number of names.

Openbook Analysis

Performance: Good (58)

The scoring profile reflects moderate historical performance, with a 6.1% 1-year return (historical). The ongoing charge of 0.55% should be considered against long-term return expectations. Risk indicators are elevated — volatility warrants consideration (historical).

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

ETF Information
AUM£651.0M
Ongoing Charge0.55%
Dividend Yield2.83%
Holdings25
Inception DateJun 2019
DomicileIreland
Distribution
IndexMorningstar Gbl Tech NR USD
ProviderVanEck Asset Management B.V.
Beta
CategorySector Equity Technology
CurrencyGBP
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
-19.6%
1Y
-10.1%
3Y
+59.7%
5Y
+43.8%
OpenBook InsightIf you had invested £10,000 in ESGB 5 years ago, it would have grown to £14,383 — a gain of £4,383.

Annual Returns

Calendar year performance

ESGB delivered positive returns in 3 of the last 5 calendar years.
YearESGB
2026 YTD-14.9%
2025+16.8%
2024+53.7%
2023+23.2%
2022-24.7%
CAGR 4yr+13.6%
3/5 positive yearsAvg return: +10.8%Worst year: -24.7% (2022)

Technical Analysis Summary

Automated insights from historical price action and indicators

Technical Regime: NEGATIVE
Trend Strength
0%
Negative
Volatility
12.4%
Low
Momentum
-5.5%
30-day change
Support Level
43.59
Key floor
Key Insights
  • Price is currently below all major moving averages, indicating a weaker trend profile.
  • Low volatility environment with a narrower recent trading range.
  • Monitor key support and resistance levels as part of broader risk assessment.

Reward Rating Breakdown

Our reward rating analyses ESGB'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
58
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%
60/100

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%
Neutral
3Y Return
27.63%
Very Good
5Y Return
7.22%
Good
10Y Return
0.00%
Weak
Sharpe Ratio
No Data

Solid historical performance: 1-year return of 6.10%, 3-year annualised 27.63%, 5-year annualised 7.22%. 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
0.55%
Weak
Net Expense Ratio
0.01%
Very Good
Annual Turnover
0.00%
Very Good
Tracking Difference
No Data

Low-cost and efficient structure: ongoing charge of 0.55%, net expense ratio of 0.01%, annual turnover of 0.0%.

💵 Income

Weight: 15%
65/100

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

Distribution Yield
2.83%
Neutral
Distribution Frequency
No Data

Reasonable income characteristics: distribution yield of 2.83%.

🌐 Diversification Quality

Weight: 25%
35/100

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
25
Very Weak
Top 10 Concentration
59.38%
Very Weak
Top Sector
Communication Services80.4%
Very Weak
Top Region
Japan28.8%
Very Good

Heavily concentrated — returns will be driven by a narrow slice of the market: 25 holdings, top 10 at 59.4%, Communication Services sector at 80.4%, Japan at 28.8%.

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 ESGB 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
66
Elevated RISK
Data Coverage: 75%
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%
59/100

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
59.38%
Elevated
Largest Holding
7.73%
Moderate
Number of Holdings
25
Elevated
HHI (weight²)
362
Low Risk

Moderate holdings concentration: top 10 holdings at 59.4%, largest single position at 7.73%, 25 total holdings.

🌍 Market Exposure

Weight: 25%
67/100

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
Japan28.8%
Lower Risk
Top Sector
Communication Services80.4%
High Risk
Top 2 Sectors
95.86%
High Risk
Cyclical Sectors
0.00%
Low Risk

Notable regional or sector dependency: Japan at 28.8%, Communication Services sector at 80.4%.

📊 Volatility

Weight: 35%
72/100

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
21.69%
Moderate
Beta
No Data
Max Drawdown
No Data

High historical volatility — expect meaningful short-term swings: 1Y volatility of 21.69% (historical).

💵 Income Reliability

Weight: 15%
63/100

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
2.83%
Lower Risk
Cyclical Sector Exposure
0.00%
Low Risk
Top-Sector Dependency
Communication Services80.4%
High Risk

Income has some cyclical dependency: yield of 2.83%, Communication Services sector at 80.4%.

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.