Vanguard FTSE Developed Europe ex UK UCITS (VERX.LSE)

10-Year Study

VERX.LSE · GB · ETF

About Vanguard FTSE Developed Europe ex UK UCITS (VERX.LSE)

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Source: EODHD Financial Datasets
Fundamentals updated: Jul 31, 2026

Fundamental Snapshot

Vanguard FTSE Developed Europe ex UK UCITS (VERX.LSE) charges an annual expense ratio of 10.00%, manages approximately $3.3B in net assets, and maintains a portfolio of 50 holdings. At the portfolio level, its underlying basket trades at 1.82x sales and 2.34x book value.

Executive Summary: Vanguard FTSE Developed Europe ex UK UCITS has compounded at 10.0% annually over the last 10 years, with a maximum drawdown of 17.8% and an annualized volatility of 15.6%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+21.3%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+16.4%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+10.1%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+10.0%

History & Riski10-year historical performance analysis including CAGR, Max Drawdown, Sharpe & Sortino ratios, annual returns, and rolling volatility — all computed from daily market data.

10-Year Growth of $10,000

View full price history data
DateValue
2016-07-01$10,000
2016-08-01$10,201
2016-09-01$10,354
2016-10-01$10,755
2016-11-01$10,137
2016-12-01$10,897
2017-01-01$10,945
2017-02-01$11,162
2017-03-01$11,635
2017-04-01$11,766
2017-05-01$12,391
2017-06-01$12,231
2017-07-01$12,428
2017-08-01$12,761
2017-09-01$12,663
2017-10-01$12,849
2017-11-01$12,653
2017-12-01$12,699
2018-01-01$12,828
2018-02-01$12,498
2018-03-01$12,101
2018-04-01$12,559
2018-05-01$12,480
2018-06-01$12,503
2018-07-01$13,149
2018-08-01$12,941
2018-09-01$12,899
2018-10-01$12,109
2018-11-01$12,003
2018-12-01$11,470
2019-01-01$11,819
2019-02-01$12,055
2019-03-01$12,358
2019-04-01$12,866
2019-05-01$12,614
2019-06-01$13,450
2019-07-01$13,702
2019-08-01$13,458
2019-09-01$13,659
2019-10-01$13,405
2019-11-01$13,596
2019-12-01$13,819
2020-01-01$13,570
2020-02-01$12,809
2020-03-01$11,353
2020-04-01$11,841
2020-05-01$12,855
2020-06-01$13,481
2020-07-01$13,304
2020-08-01$13,673
2020-09-01$13,693
2020-10-01$12,846
2020-11-01$14,552
2020-12-01$14,998
2021-01-01$14,572
2021-02-01$14,601
2021-03-01$15,269
2021-04-01$15,975
2021-05-01$16,317
2021-06-01$16,537
2021-07-01$16,773
2021-08-01$17,241
2021-09-01$16,609
2021-10-01$17,111
2021-11-01$16,874
2021-12-01$17,418
2022-01-01$16,479
2022-02-01$15,861
2022-03-01$16,202
2022-04-01$15,865
2022-05-01$15,927
2022-06-01$14,755
2022-07-01$15,530
2022-08-01$15,177
2022-09-01$14,444
2022-10-01$15,060
2022-11-01$16,218
2022-12-01$16,189
2023-01-01$17,205
2023-02-01$17,319
2023-03-01$17,512
2023-04-01$17,897
2023-05-01$17,134
2023-06-01$17,585
2023-07-01$17,908
2023-08-01$17,438
2023-09-01$17,219
2023-10-01$16,697
2023-11-01$17,777
2023-12-01$18,650
2024-01-01$18,618
2024-02-01$19,103
2024-03-01$19,830
2024-04-01$19,379
2024-05-01$20,134
2024-06-01$19,799
2024-07-01$19,802
2024-08-01$20,123
2024-09-01$19,812
2024-10-01$19,405
2024-11-01$19,164
2024-12-01$19,149
2025-01-01$20,552
2025-02-01$21,063
2025-03-01$20,457
2025-04-01$20,729
2025-05-01$21,574
2025-06-01$21,682
2025-07-01$21,940
2025-08-01$22,184
2025-09-01$22,755
2025-10-01$23,426
2025-11-01$23,601
2025-12-01$24,192
2026-01-01$24,769
2026-02-01$25,989
2026-03-01$23,676
2026-04-01$24,802
2026-05-01$25,880
2026-06-01$26,580
2026-07-01$26,460
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
17.8%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.51
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.78
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
12.9%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · +26.3%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2018 · -9.7%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
80%

Annual Returns

View full annual returns data
YearReturn
201716.5%
2018-9.7%
201920.5%
20208.5%
202116.1%
2022-7.1%
202315.2%
20242.7%
202526.3%
20269.4%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20262.44.9-8.94.84.32.7-0.59.4%
20257.32.5-2.91.34.10.51.21.12.62.90.72.526.3%
2024-0.22.63.8-2.33.9-1.70.01.6-1.5-2.1-1.2-0.12.7%
20236.30.71.12.2-4.32.61.8-2.6-1.3-3.06.54.915.2%
2022-5.4-3.72.1-2.10.4-7.45.3-2.3-4.84.37.7-0.2-7.1%
2021-2.80.24.64.62.11.31.42.8-3.73.0-1.43.216.1%
2020-1.8-5.6-11.44.38.64.9-1.32.80.1-6.213.33.18.5%
20193.02.02.54.1-2.06.61.9-1.81.5-1.91.41.620.5%
20181.0-2.6-3.23.8-0.60.25.2-1.6-0.3-6.1-0.9-4.4-9.7%
20170.42.04.21.15.3-1.31.62.7-0.81.5-1.50.416.5%
20162.01.53.9-5.87.59.0%

Risk X-RayiA 19-factor macroeconomic risk decomposition showing exactly which market forces (equity beta, rates, inflation, credit, commodity, crypto) drive this asset's volatility. Powered by multivariate regression against daily factor returns.

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
15.6%
View full factor risk breakdown
FactorRisk Exposure
VTI.US5.4%
VEA.US84.3%
VWO.US-4.8%
QQQ.US-14.8%
VTV.US-13.0%
IJR.US1.7%
QUAL.US28.2%
SHV.US12.0%
TLT.US2.6%
LQD.US-3.1%
HYG.US-1.4%
GLD.US-0.6%
USO.US0.4%
VNQ.US-1.9%
BTC-USD.CC-0.4%
CPER.US0.7%
VIX.INDX0.8%
UUP.US-2.5%
TIP.US-0.3%
Idiosyncratic6.6%

Vanguard FTSE Developed Europe ex UK UCITS ETF Profile & Portfolio Fundamentals

Detailed fund structure, fee metrics, portfolio-level valuation, and asset distribution statistics.

Fund Structure & Fees

Expense Ratio
10.00%
86th pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
74th pct
larger than 74% of 1,446 ETFs we track
Holdings Count50
Distribution Yield
3.6%
75th pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E15.83x
Portfolio Price-to-Sales1.82x
Portfolio Price-to-Book2.34x

Market Sentiment & Squeeze Risk

Short Squeeze RiskLow

Dividend & Income Analysisi10-Year historical income simulation on a $10,000 initial investment, cumulative dividend income generated, average yield on cost, and annual payout table.

Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$0
Avg Yield on Cost
0.00%

Momentum & MacroiPrice momentum indicators: distance from 50/200-Day SMA, 52-Week High proximity, Golden Cross trend signal, RSI momentum gauge, Fibonacci retracement levels, and Beta (market sensitivity).

vs 50-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
+1.2%
Above/below 50-day moving average
vs 200-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
+6.6%
Above/below 200-day moving average
vs 52-Week High52-Week HighThe highest price an asset reached in the past 52 weeks — a key reference for momentum and valuation context.Click for full definition →
1.5% from high
Distance from 52-week high
BetaBetaA measure of an asset's sensitivity to broad market movements relative to a benchmark (e.g. S&P 500).Click for full definition →
0.00
Market sensitivity coefficient
Trend SignalGolden Cross & Death CrossTechnical chart patterns that occur when a short-term moving average crosses over a long-term moving average.Click for full definition →
✦ Golden Cross
Bullish — 50 SMA above 200 SMA
RSI (14-Day)Relative Strength Index (RSI)A momentum oscillator that measures the speed and change of price movements to identify overbought or oversold conditions.Click for full definition →
56
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+6.1%
50.0% retracement+8.7%
61.8% retracement+11.4%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

VERX.LSE — 10-Year Return & Risk Profile

Vanguard FTSE Developed Europe ex UK UCITS (VERX.LSE) has delivered solid annualized growth of 10.0% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $25,976, representing a total return of 160%. Over this period, VERX.LSE generated positive annual returns in 8 out of 10 calendar years (80%).

The best single calendar year for VERX.LSE was 2025, with a return of +26.3%. The worst year was 2018, when the asset declined 9.7%. This spread between best and worst year is a useful indicator of the range of outcomes an investor might have experienced in a given 12-month window.

The asset's Sharpe ratio of 0.51 is considered acceptable on a risk-adjusted basis. The Sharpe ratio measures return earned above the risk-free rate per unit of total volatility — a higher reading indicates more efficient return generation relative to the risk taken. Investors focused on risk-adjusted outcomes should weigh this figure alongside absolute CAGR when making allocation decisions.

VERX.LSE — Drawdown, Volatility & Downside Risk

VERX.LSE's annualized volatility of 12.9% is classified as low relative to the long-run US equity benchmark of approximately 15%. This below-average volatility profile suggests the asset has historically experienced smaller day-to-day price swings than the broad market, which may appeal to risk-conscious or income-oriented investors.

The asset's maximum peak-to-trough decline over the study period was 17.8% — a notable pullback. Drawdown magnitude is a critical consideration for investors who may need to liquidate positions during market stress, as a larger decline requires proportionally greater subsequent gains to recover to the prior peak. A 18% drawdown, for example, requires a 22% gain just to break even.

When evaluating VERX.LSE for inclusion in a diversified US portfolio, it is important to note that historical volatility and drawdown metrics are backward-looking. They capture the risk environment of the past 10 years, which included the COVID-19 market crash (2020), the 2022 Federal Reserve rate hike cycle, and various geopolitical disruptions. Future risk may differ materially, particularly in response to structural changes in US monetary policy, sector regulation, or macroeconomic regime shifts.

VERX.LSE — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 84.3% of VERX.LSE's return variance to Developed Market Equities (ex-US). This means that when Developed Market Equities (ex-US) rises or falls sharply, VERX.LSE tends to move in the same direction with meaningful magnitude. Investors who already hold significant exposure to this factor — through other funds or direct equity positions — should be aware of this concentration when sizing their VERX.LSE allocation.

The second-largest macro driver is US Quality Factor, contributing 28.2% of variance. 6.6% of VERX.LSE's risk is attributable to idiosyncratic, stock-specific factors that are uncorrelated with the broader macro drivers. A higher idiosyncratic share generally indicates that the fund's performance is more dependent on the security selection or holdings composition of the individual underlying assets, rather than broad market forces.

For US investors building a diversified multi-asset portfolio, understanding VERX.LSE's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding VERX.LSE alongside assets with low correlation to Developed Market Equities (ex-US) — such as US Treasury bonds, commodities, or assets with significant developed-market ex-US exposure — can reduce the overall portfolio's sensitivity to any single macroeconomic theme.

Compare this AssetiRun a head-to-head backtest and risk analysis against similar assets.

Frequently Asked Questions & Methodology

Is Vanguard FTSE Developed Europe ex UK UCITS a high-risk investment?

Vanguard FTSE Developed Europe ex UK UCITS (VERX.LSE) has an annualized volatility of 15.6% and experienced a maximum drawdown of 17.8% over the last 10 years. Its primary macro risk driver is VEA.US.

What is the 10-year return of VERX.LSE?

Over the past 10 years, VERX.LSE has generated a Compound Annual Growth Rate (CAGR) of 10.0%. A $10,000 investment would have grown to approximately $25,976. It has had a positive return in 80% of calendar years.

What is VERX.LSE's Sharpe ratio?

VERX.LSE has a Sharpe ratio of 0.51 and a Sortino ratio of 0.78 over the 10-year period. The Sharpe ratio measures risk-adjusted return — how much excess return is earned per unit of volatility. A reading below 1.0 suggests investors were not fully compensated on a risk-adjusted basis.

What is VERX.LSE's dividend yield?

VERX.LSE has an average trailing dividend yield of 3.61%. On a $10,000 initial investment, it generated approximately $0 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

Is VERX.LSE above its 200-day moving average?

VERX.LSE is currently above its 200-day moving average by 6.6%. The current trend signal is: Bullish — 50 SMA above 200 SMA. The 200-day SMA is a widely used long-term trend filter — assets trading above it tend to exhibit positive price momentum.

Data Methodology & Trust

The risk and return information on this page is pre-calculated mathematically using daily market data spanning a 10-year period. Fundamentals (such as P/E Ratio, Market Cap, and Dividend Yield) represent trailing averages and may not immediately reflect real-time live market fluctuations. Advanced scoring models like the Piotroski F-Score and Altman Z-Score are proxies applied to publicly available trailing-twelve-month financial statements and may not account for recent off-balance-sheet events, qualitative company shifts, or sector-specific capital structures. Macroeconomic factor exposures are estimated via multivariate regression against standard market indices. This data is provided for quantitative insight and backtesting research, and should not be misconstrued as tailored financial advice.

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