Dimensional ETF Trust - Dimensional Emerging Markets High Profitability ETF (DEHP.US)
10-Year StudyDEHP.US · US · ETF
About Dimensional ETF Trust - Dimensional Emerging Markets High Profitability ETF (DEHP.US)
The Portfolio is designed to purchase securities of large companies associated with emerging markets that the Advisor determines to have high profitability relative to other large companies in the same country or region at the time of purchase. The Advisor intends to purchase securities of large companies that are associated with emerging markets, which may include frontier markets (emerging market countries in an earlier stage of development).
Fundamental Snapshot
Dimensional ETF Trust - Dimensional Emerging Markets High Profitability ETF (DEHP.US) charges an annual expense ratio of 0.41%, manages approximately $402.4M in net assets, and maintains a portfolio of 50 holdings. At the portfolio level, its underlying basket trades at 1.91x sales and 3.41x book value.
Executive Summary: Dimensional ETF Trust - Dimensional Emerging Markets High Profitability ETF has compounded at 12.9% annually over the last 10 years, with a maximum drawdown of 21.3% and an annualized volatility of 34.3%.
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
| Date | Value |
|---|---|
| 2022-04-01 | $10,000 |
| 2022-05-01 | $9,995 |
| 2022-06-01 | $9,239 |
| 2022-07-01 | $9,209 |
| 2022-08-01 | $9,065 |
| 2022-09-01 | $8,056 |
| 2022-10-01 | $7,871 |
| 2022-11-01 | $9,205 |
| 2022-12-01 | $8,912 |
| 2023-01-01 | $9,764 |
| 2023-02-01 | $9,200 |
| 2023-03-01 | $9,494 |
| 2023-04-01 | $9,399 |
| 2023-05-01 | $9,197 |
| 2023-06-01 | $9,616 |
| 2023-07-01 | $10,054 |
| 2023-08-01 | $9,505 |
| 2023-09-01 | $9,309 |
| 2023-10-01 | $9,021 |
| 2023-11-01 | $9,699 |
| 2023-12-01 | $10,009 |
| 2024-01-01 | $9,593 |
| 2024-02-01 | $9,977 |
| 2024-03-01 | $10,260 |
| 2024-04-01 | $10,214 |
| 2024-05-01 | $10,505 |
| 2024-06-01 | $10,842 |
| 2024-07-01 | $10,797 |
| 2024-08-01 | $10,817 |
| 2024-09-01 | $11,300 |
| 2024-10-01 | $10,804 |
| 2024-11-01 | $10,609 |
| 2024-12-01 | $10,456 |
| 2025-01-01 | $10,604 |
| 2025-02-01 | $10,540 |
| 2025-03-01 | $10,670 |
| 2025-04-01 | $10,669 |
| 2025-05-01 | $11,127 |
| 2025-06-01 | $11,936 |
| 2025-07-01 | $12,022 |
| 2025-08-01 | $12,431 |
| 2025-09-01 | $13,119 |
| 2025-10-01 | $13,744 |
| 2025-11-01 | $13,530 |
| 2025-12-01 | $13,892 |
| 2026-01-01 | $15,042 |
| 2026-02-01 | $15,985 |
| 2026-03-01 | $14,176 |
| 2026-07-01 | $16,744 |
Annual Returns
View full annual returns data
| Year | Return |
|---|---|
| 2023 | 12.3% |
| 2024 | 4.5% |
| 2025 | 32.9% |
| 2026 | 20.5% |
Rolling 12-Month Returns
Rolling 12-Month Annualised Volatility
Historical Drawdowns
Monthly Returns
Monthly Returns Heatmap
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Ann. |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 8.3 | 6.3 | -11.3 | — | — | — | 18.1 | — | — | — | — | — | 20.5% |
| 2025 | 1.4 | -0.6 | 1.2 | -0.0 | 4.3 | 7.3 | 0.7 | 3.4 | 5.5 | 4.8 | -1.6 | 2.7 | 32.9% |
| 2024 | -4.2 | 4.0 | 2.8 | -0.4 | 2.8 | 3.2 | -0.4 | 0.2 | 4.5 | -4.4 | -1.8 | -1.4 | 4.5% |
| 2023 | 9.6 | -5.8 | 3.2 | -1.0 | -2.2 | 4.6 | 4.5 | -5.5 | -2.1 | -3.1 | 7.5 | 3.2 | 12.3% |
| 2022 | — | — | — | — | -0.0 | -7.6 | -0.3 | -1.6 | -11.1 | -2.3 | 16.9 | -3.2 | -10.9% |
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.
View full factor risk breakdown
| Factor | Risk Exposure |
|---|---|
| VTI.US | -1.8% |
| VEA.US | 3.6% |
| VWO.US | 13.8% |
| QQQ.US | 1.6% |
| VTV.US | 2.6% |
| IJR.US | 0.3% |
| QUAL.US | -0.6% |
| SHV.US | 80.4% |
| TLT.US | 1.0% |
| LQD.US | 0.5% |
| HYG.US | 0.3% |
| GLD.US | 0.4% |
| USO.US | 0.1% |
| VNQ.US | -1.8% |
| BTC-USD.CC | -0.1% |
| CPER.US | -0.7% |
| VIX.INDX | -0.4% |
| UUP.US | -0.6% |
| TIP.US | -0.2% |
| Idiosyncratic | 1.6% |
Dimensional ETF Trust - Dimensional Emerging Markets High Profitability ETF ETF Profile & Portfolio Fundamentals
Detailed fund structure, fee metrics, portfolio-level valuation, and asset distribution statistics.
Fund Structure & Fees
Portfolio Valuation Multiples
Market Sentiment & Squeeze Risk
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.
Based on $10,000 initial investment.
| Year | Annual Payout | Yield on Cost | Quality |
|---|---|---|---|
| 2026 | $20.68 | 0.21% | 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).
In-Depth Analysis
DEHP.US — 10-Year Return & Risk Profile
Dimensional ETF Trust - Dimensional Emerging Markets High Profitability ETF (DEHP.US) has delivered strong annualized growth of 12.9% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $33,636, representing a total return of 236%. Over this period, DEHP.US generated positive annual returns in 10 out of 10 calendar years (100%).
The best single calendar year for DEHP.US was 2025, with a return of +32.9%. The worst year was 2024, when the asset declined 4.5%. 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 0.58 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.
DEHP.US — Drawdown, Volatility & Downside Risk
DEHP.US's annualized volatility of 19.7% is classified as moderate relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in DEHP.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 21.3% — a significant bear-market drawdown. 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 21% drawdown, for example, requires a 27% gain just to break even.
When evaluating DEHP.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.
DEHP.US — Macroeconomic Factor Risk Exposure
The macroeconomic factor model attributes 80.4% of DEHP.US's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, DEHP.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 DEHP.US allocation.
The second-largest macro driver is Emerging Market Equities, contributing 13.8% of variance. 1.6% of DEHP.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 DEHP.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding DEHP.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.
Compare Dimensional ETF Trust - Dimensional Emerging Markets High Profitability ETF vs Harbor AlphaEdge Next Generation REITs ETF
Compare Dimensional ETF Trust - Dimensional Emerging Markets High Profitability ETF vs Harvest AMD Enhanced High Income Shares ETF - Class A Units
Compare Dimensional ETF Trust - Dimensional Emerging Markets High Profitability ETF vs ETF Managers Group Commodity Trust I
Compare Dimensional ETF Trust - Dimensional Emerging Markets High Profitability ETF vs Tradr 2X Long APP Daily ETF
Compare Dimensional ETF Trust - Dimensional Emerging Markets High Profitability ETF vs Morgan Stanley ETF Trust
Compare Dimensional ETF Trust - Dimensional Emerging Markets High Profitability ETF vs Dimensional Emerging Markets Sustainability Core 1 ETF
Frequently Asked Questions & Methodology
Is Dimensional ETF Trust - Dimensional Emerging Markets High Profitability ETF a high-risk investment?
Dimensional ETF Trust - Dimensional Emerging Markets High Profitability ETF (DEHP.US) has an annualized volatility of 34.3% and experienced a maximum drawdown of 21.3% over the last 10 years. Its primary macro risk driver is SHV.US.
What is the 10-year return of DEHP.US?
Over the past 10 years, DEHP.US has generated a Compound Annual Growth Rate (CAGR) of 12.9%. A $10,000 investment would have grown to approximately $33,636. It has had a positive return in 100% of calendar years.
What is DEHP.US's Sharpe ratio?
DEHP.US has a Sharpe ratio of 0.58 and a Sortino ratio of 1.01 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 DEHP.US's dividend yield?
DEHP.US has an average trailing dividend yield of 1.32%. On a $10,000 initial investment, it generated approximately $21 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).
Is DEHP.US above its 200-day moving average?
DEHP.US is currently above its 200-day moving average by 19.2%. 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 ETF Trust - Dimensional Emerging Markets High Profitability ETF
stresstest.pro lets you simulate DCA vs Lump Sum, Monte Carlo projections, portfolio optimisation, and more — all in seconds.
Start a Free Backtest