Dimensional Emerging Markets Sustainability Core 1 ETF (DFSE.US)

10-Year Study

DFSE.US · US · ETF

About Dimensional Emerging Markets Sustainability Core 1 ETF (DFSE.US)

Unknown

The Portfolio is designed to purchase a broad and diverse group of securities associated with emerging markets. The Portfolio invests in companies of all sizes, with increased exposure to smaller capitalization, lower relative price, and higher profitability companies as compared to their representation in the Emerging Markets Universe, while adjusting the composition of the Portfolio based on sustainability impact considerations.

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

Fundamental Snapshot

Dimensional Emerging Markets Sustainability Core 1 ETF (DFSE.US) charges an annual expense ratio of 0.41%, manages approximately $581.6M in net assets, and maintains a portfolio of 50 holdings. At the portfolio level, its underlying basket trades at 1.29x sales and 1.99x book value.

Executive Summary: Dimensional Emerging Markets Sustainability Core 1 ETF has compounded at 128.1% annually over the last 10 years, with a maximum drawdown of 84.9% and an annualized volatility of 115.2%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+19.6%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+19.3%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-23.5%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+128.1%

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
2020-09-01$10,000
2021-04-01$4,623,342
2021-05-01$3,773,117
2021-06-01$4,042,706
2021-07-01$3,827,586
2021-08-01$4,116,711
2021-09-01$4,472,944
2021-10-01$4,498,939
2021-11-01$4,615,650
2021-12-01$4,413,793
2022-01-01$4,037,135
2022-02-01$3,995,491
2022-03-01$4,594,164
2022-04-01$4,178,196
2022-05-01$3,202,652
2022-06-01$2,387,268
2022-07-01$2,905,305
2022-08-01$3,005,836
2022-09-01$2,829,178
2022-10-01$2,841,114
2022-11-01$717,175
2022-12-01$700,048
2023-01-01$758,507
2023-02-01$715,775
2023-03-01$743,101
2023-04-01$736,538
2023-05-01$728,186
2023-06-01$760,719
2023-07-01$808,202
2023-08-01$763,467
2023-09-01$742,615
2023-10-01$713,809
2023-11-01$774,958
2023-12-01$802,724
2024-01-01$767,316
2024-02-01$801,329
2024-03-01$817,907
2024-04-01$821,462
2024-05-01$837,464
2024-06-01$855,003
2024-07-01$864,968
2024-08-01$869,568
2024-09-01$912,658
2024-10-01$882,639
2024-11-01$867,565
2024-12-01$858,109
2025-01-01$864,040
2025-02-01$869,714
2025-03-01$874,088
2025-04-01$879,279
2025-05-01$923,918
2025-06-01$995,170
2025-07-01$997,000
2025-08-01$1,038,050
2025-09-01$1,082,382
2025-10-01$1,104,772
2025-11-01$1,085,806
2025-12-01$1,100,265
2026-01-01$1,176,658
2026-02-01$1,233,156
2026-03-01$1,123,873
2026-04-01$1,122,403
2026-07-01$1,222,825
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
84.9%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
636883644.08
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
240037885835.38
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
20296.4%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2021 · +44037.9%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -84.1%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
83%

Annual Returns

View full annual returns data
YearReturn
202144037.9%
2022-84.1%
202314.7%
20246.9%
202528.2%
202611.1%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20266.94.8-8.9-0.18.911.1%
20250.70.70.50.65.17.70.24.14.32.1-1.71.328.2%
2024-4.44.42.10.41.92.11.20.55.0-3.3-1.7-1.16.9%
20238.4-5.63.8-0.9-1.14.56.2-5.5-2.7-3.98.63.614.7%
2022-8.5-1.015.0-9.1-23.3-25.521.73.5-5.90.4-74.8-2.4-84.1%
202146133.4-18.47.1-5.37.68.70.62.6-4.444037.9%

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
115.2%
View full factor risk breakdown
FactorRisk Exposure
VTI.US0.7%
VEA.US-0.1%
VWO.US0.1%
QQQ.US7.8%
VTV.US4.4%
IJR.US-0.7%
QUAL.US2.6%
SHV.US5.4%
TLT.US2.7%
LQD.US35.1%
HYG.US22.6%
GLD.US-0.0%
USO.US-0.0%
VNQ.US-0.6%
BTC-USD.CC1.7%
CPER.US-0.2%
VIX.INDX-0.1%
UUP.US0.0%
TIP.US2.0%
Idiosyncratic16.5%

Dimensional Emerging Markets Sustainability Core 1 ETF ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
0.41%
43rd pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
44th pct
larger than 44% of 1,446 ETFs we track
Holdings Count50
Distribution Yield
1.9%
50th pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E12.87x
Portfolio Price-to-Sales1.29x
Portfolio Price-to-Book1.99x

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
$1,432
Avg Yield on Cost
14.32%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$1,432.3614.32%Weak

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 →
+2.8%
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 →
+11.1%
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 →
5.5% 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 →
1.09
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 →
46
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+52.4%
50.0% retracement+88.0%
61.8% retracement+145.3%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

DFSE.US — 10-Year Return & Risk Profile

Dimensional Emerging Markets Sustainability Core 1 ETF (DFSE.US) has delivered exceptional annualized growth of 128.1% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $38,112,725, representing a total return of 381027%. Over this period, DFSE.US generated positive annual returns in 8 out of 10 calendar years (83%).

The best single calendar year for DFSE.US was 2021, with a return of +44037.9%. The worst year was 2022, when the asset declined 84.1%. 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 636883644.08 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.

DFSE.US — Drawdown, Volatility & Downside Risk

DFSE.US's annualized volatility of 20296.4% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in DFSE.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 84.9% — 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 85% drawdown, for example, requires a 560% gain just to break even.

When evaluating DFSE.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.

DFSE.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 35.1% of DFSE.US's return variance to Investment-Grade Corporate Credit. This means that when Investment-Grade Corporate Credit rises or falls sharply, DFSE.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 DFSE.US allocation.

The second-largest macro driver is High-Yield Corporate Credit, contributing 22.6% of variance. 16.5% of DFSE.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 DFSE.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding DFSE.US alongside assets with low correlation to Investment-Grade Corporate Credit — 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 Emerging Markets Sustainability Core 1 ETF a high-risk investment?

Dimensional Emerging Markets Sustainability Core 1 ETF (DFSE.US) has an annualized volatility of 115.2% and experienced a maximum drawdown of 84.9% over the last 10 years. Its primary macro risk driver is LQD.US.

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

Over the past 10 years, DFSE.US has generated a Compound Annual Growth Rate (CAGR) of 128.1%. A $10,000 investment would have grown to approximately $38,112,725. It has had a positive return in 83% of calendar years.

What is DFSE.US's Sharpe ratio?

DFSE.US has a Sharpe ratio of 636883644.08 and a Sortino ratio of 240037885835.38 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 636883644.08 indicates efficient return generation relative to risk taken.

What is DFSE.US's dividend yield?

DFSE.US has an average trailing dividend yield of 1.89%. On a $10,000 initial investment, it generated approximately $1,432 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

Is DFSE.US above its 200-day moving average?

DFSE.US is currently above its 200-day moving average by 11.1%. 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.

Run a Full Backtest on Dimensional Emerging Markets Sustainability Core 1 ETF

stresstest.pro lets you simulate DCA vs Lump Sum, Monte Carlo projections, portfolio optimisation, and more — all in seconds.

Start a Free Backtest