Dimensional US Vector Equity ETF (DXUV.US)

10-Year Study

DXUV.US · US · ETF

About Dimensional US Vector Equity ETF (DXUV.US)

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To achieve the fund's investment objective, Dimensional Fund Advisors LP implements an integrated investment approach that combines research, portfolio design, portfolio management, and trading functions. Under normal circumstances, the fund will invest at least 80% of its net assets in equity securities of U.S....

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

Fundamental Snapshot

Dimensional US Vector Equity ETF (DXUV.US) charges an annual expense ratio of 25.00%, manages approximately institutional assets in net assets, and maintains a portfolio of 10 holdings.

Executive Summary: Dimensional US Vector Equity ETF has compounded at -80.2% annually over the last 10 years, with a maximum drawdown of 100.0% and an annualized volatility of 1057.7%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+20.6%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-79.8%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-90.8%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-80.2%

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
2019-04-01$10,000
2019-05-01$9,858
2019-06-01$9,823
2019-07-01$10,142
2019-08-01$7,730
2019-09-01$8,191
2019-10-01$6,950
2019-11-01$6,986
2019-12-01$7,411
2020-01-01$9,574
2020-02-01$9,220
2020-03-01$6,933
2020-04-01$9,326
2020-05-01$11,401
2020-06-01$10,266
2020-07-01$13,014
2020-08-01$15,603
2020-09-01$13,050
2020-10-01$13,652
2020-11-01$25,957
2020-12-01$26,135
2021-01-01$24,113
2021-02-01$22,766
2021-03-01$20,213
2021-04-01$15,798
2021-05-01$10,957
2021-06-01$10,532
2021-07-01$8,511
2021-08-01$7,943
2021-09-01$8,103
2021-10-01$12,482
2021-11-01$8,050
2021-12-01$8,316
2022-01-01$7,500
2022-02-01$6,255
2022-03-01$6,560
2022-04-01$6,376
2022-05-01$2,340
2022-06-01$1,280
2022-07-01$876
2022-08-01$6,489
2022-09-01$738
2022-10-01$110
2022-11-01$160
2022-12-01$1,474,843
2023-01-01$68,239
2023-02-01$8,849
2023-03-01$572
2023-04-01$110
2023-05-01$66
2023-06-01$18,931
2023-07-01$726
2023-08-01$44
2023-09-01$7
2023-10-01$2
2023-11-01$4
2023-12-01$14
2024-01-01$6
2024-02-01$6
2024-03-01$4
2024-04-01$2
2024-05-01$2
2024-06-01$1
2024-07-01$1
2024-08-01$0
2024-09-01$0
2024-10-01$0
2024-11-01$0
2024-12-01$0
2025-01-01$0
2025-02-01$0
2025-03-01$0
2025-04-01$0
2025-05-01$0
2025-06-01$0
2025-07-01$0
2025-08-01$0
2025-09-01$0
2025-10-01$0
2025-11-01$0
2025-12-01$0
2026-01-01$0
2026-02-01$0
2026-03-01$0
2026-07-01$0
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
100.0%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
1.4348073987752507e+21
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
4.461610422199047e+24
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
349328.6%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · +17635.8%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2023 · -100.0%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
57%

Annual Returns

View full annual returns data
YearReturn
2020252.6%
2021-68.2%
202217635.8%
2023-100.0%
2024-99.6%
202514.3%
202613.7%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20263.60.9-4.413.813.7%
20253.3-2.3-5.6-2.45.94.82.24.01.70.51.21.014.3%
2024-54.7-4.7-34.2-39.8-30.2-49.6-18.9-37.4-85.9-1.07.6-5.5-99.6%
2023-95.4-87.0-93.5-80.8-40.028566.7-96.2-93.9-83.3-67.578.1231.2-100.0%
2022-9.8-16.64.9-2.8-63.3-45.3-31.6640.9-88.6-85.145.2924134.817635.8%
2021-7.7-5.6-11.2-21.8-30.6-3.9-19.2-6.72.054.0-35.53.3-68.2%
202029.2-3.7-24.834.522.2-10.026.819.9-16.44.690.10.7252.6%
2019-1.4-0.43.2-23.86.0-15.20.56.1-25.9%

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
1057.7%
View full factor risk breakdown
FactorRisk Exposure
VTI.US5.9%
VEA.US-0.1%
VWO.US0.9%
QQQ.US1.4%
VTV.US0.4%
IJR.US-0.2%
QUAL.US0.2%
SHV.US63.2%
TLT.US0.1%
LQD.US1.3%
HYG.US3.1%
GLD.US-0.1%
USO.US0.1%
VNQ.US0.5%
BTC-USD.CC0.4%
CPER.US-0.0%
VIX.INDX0.8%
UUP.US4.2%
TIP.US0.2%
Idiosyncratic17.4%

Dimensional US Vector Equity ETF ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
25.00%
94th pct of 1250 ETFs · median 0.50%
Holdings Count10
Distribution Yield
1.0%
35th pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E
Portfolio Price-to-Sales
Portfolio Price-to-Book

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%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$00.00%

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 →
+8.9%
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 →
+15.9%
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 →
0.0% 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 →
57
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+61.6%
50.0% retracement+99.6%
61.8% retracement+161.0%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

DXUV.US — 10-Year Return & Risk Profile

Dimensional US Vector Equity ETF (DXUV.US) has delivered negative annualized growth of 80.2% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $0, representing a total return of 100%. Over this period, DXUV.US generated positive annual returns in 6 out of 10 calendar years (57%).

The best single calendar year for DXUV.US was 2022, with a return of +17635.8%. The worst year was 2023, when the asset declined 100.0%. 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 1.4348073987752507e+21 is considered excellent 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.

DXUV.US — Drawdown, Volatility & Downside Risk

DXUV.US's annualized volatility of 349328.6% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in DXUV.US have historically experienced larger day-to-day price swings than the broader market, which requires a higher tolerance for short-term portfolio fluctuations.

The asset's maximum peak-to-trough decline over the study period was 100.0% — a catastrophic peak-to-trough decline. 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 100% drawdown, for example, requires a 2600801674% gain just to break even.

When evaluating DXUV.US 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.

DXUV.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 63.2% of DXUV.US's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, DXUV.US 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 DXUV.US allocation.

The second-largest macro driver is US Equity (broad market), contributing 5.9% of variance. 17.4% of DXUV.US'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 DXUV.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding DXUV.US alongside assets with low correlation to Short-Term Interest Rates — 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 Dimensional US Vector Equity ETF a high-risk investment?

Dimensional US Vector Equity ETF (DXUV.US) has an annualized volatility of 1057.7% and experienced a maximum drawdown of 100.0% over the last 10 years. Its primary macro risk driver is SHV.US.

What is the 10-year return of DXUV.US?

Over the past 10 years, DXUV.US has generated a Compound Annual Growth Rate (CAGR) of -80.2%. A $10,000 investment would have grown to approximately $0. It has had a positive return in 57% of calendar years.

What is DXUV.US's Sharpe ratio?

DXUV.US has a Sharpe ratio of 1.4348073987752507e+21 and a Sortino ratio of 4.461610422199047e+24 over the 10-year period. The Sharpe ratio measures risk-adjusted return — how much excess return is earned per unit of volatility. A reading of 1.4348073987752507e+21 indicates efficient return generation relative to risk taken.

What is DXUV.US's dividend yield?

DXUV.US has an average trailing dividend yield of 0.99%. 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 DXUV.US above its 200-day moving average?

DXUV.US is currently above its 200-day moving average by 15.9%. 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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