Asset Allocation
Find the right asset allocation for Test
Add portfolio to the optimizer to find optimal allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.
Open Portfolio OptimizerPerformance
Performance Chart
The chart shows the growth of an initial investment of $10,000 in Test, comparing it to the performance of the S&P 500 index or another benchmark. All prices have been adjusted for splits and dividends. The portfolio is rebalanced Every 3 months.
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Returns By Period
| Position | 1D | 1M | YTD | 6M | 1Y | 3Y* | 5Y* | 10Y* |
|---|---|---|---|---|---|---|---|---|
Benchmark S&P 500 Index | 0.30% | 0.09% | 8.18% | 8.17% | 23.42% | 19.88% | 11.91% | 13.45% |
Portfolio Test | 0.34% | -0.46% | 10.09% | 11.98% | 27.38% | 20.46% | — | — |
| Portfolio components: | ||||||||
DFALX DFA Large Cap International Portfolio | -2.41% | -1.66% | 7.88% | 10.41% | 22.50% | 17.50% | 9.00% | 9.57% |
DFIV Dimensional International Value ETF | 0.38% | -0.58% | 10.17% | 14.07% | 32.57% | 23.03% | — | — |
DFUV Dimensional US Marketwide Value ETF | 0.64% | 2.84% | 16.05% | 17.87% | 32.93% | 18.68% | — | — |
HLMEX Harding Loevner Institutional Emerging Markets Portfolio | -4.17% | -4.10% | 14.91% | 15.65% | 35.50% | 15.48% | 0.76% | 6.21% |
IWB iShares Russell 1000 ETF | 0.26% | 0.43% | 8.46% | 8.45% | 23.94% | 21.07% | 12.59% | 14.97% |
IWD iShares Russell 1000 Value ETF | 0.36% | 1.44% | 13.23% | 14.44% | 26.58% | 17.65% | 10.14% | 11.13% |
VEA Vanguard FTSE Developed Markets ETF | 1.00% | -1.37% | 12.02% | 14.95% | 28.06% | 18.65% | 9.09% | 10.14% |
VONE Vanguard Russell 1000 ETF | 0.18% | 0.42% | 8.46% | 8.48% | 24.02% | 21.14% | 12.68% | 15.05% |
Monthly Returns
Based on dividend-adjusted daily data since May 9, 2022, Test's average daily return is +0.07%, while the average monthly return is +1.35%. At this rate, an investment would double in approximately 4.3 years.
Historically, 66% of months were positive and 34% were negative. The best month was Nov 2022 with a return of +9.5%, while the worst month was Sep 2022 at -9.4%. The longest winning streak lasted 11 consecutive months, and the longest losing streak was 3 months.
On a daily basis, Test closed higher 55% of trading days. The best single day was Apr 9, 2025 with a return of +7.7%, while the worst single day was Apr 4, 2025 at -6.3%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 4.17% | 3.40% | -6.21% | 7.58% | 3.42% | -2.06% | 10.09% | ||||||
| 2025 | 3.93% | 1.12% | -1.56% | 1.18% | 5.36% | 3.88% | 0.48% | 4.01% | 2.67% | 1.37% | 1.65% | 2.06% | 29.28% |
| 2024 | -0.41% | 3.74% | 4.16% | -3.22% | 4.51% | -0.35% | 2.73% | 2.59% | 1.50% | -2.95% | 2.99% | -3.15% | 12.32% |
| 2023 | 7.89% | -2.71% | 1.67% | 2.08% | -2.76% | 5.95% | 3.75% | -2.94% | -3.36% | -3.42% | 8.29% | 5.03% | 19.98% |
| 2022 | 2.74% | -9.19% | 5.90% | -4.13% | -9.39% | 7.26% | 9.45% | -3.25% | -2.51% |
Benchmark Metrics
Test has an annualized alpha of 3.35%, beta of 0.84, and R2 of 0.85 versus S&P 500 Index. Calculated based on daily prices since May 09, 2022.
- This portfolio participates in less of S&P 500 Index's moves in both directions, but captures a larger share of gains (90.60%) than losses (82.65%) - typical of diversified or defensive assets.
- This portfolio generated an annualized alpha of 3.35% versus S&P 500 Index - delivering returns beyond what market exposure alone would predict.
- Alpha
- 3.35%
- Beta
- 0.84
- R²
- 0.85
- Upside Capture
- 90.60%
- Downside Capture
- 82.65%
Expense Ratio
Test has an expense ratio of 0.21%, which is considered low. Below, you can find the expense ratios of the portfolio's funds side by side and easily compare their relative costs.
Return for Risk
Risk / Return Rank
Test ranks 57 for risk / return — on par with similar Portfolios. You're getting a typical balance of risk and reward. Not a standout, but not a red flag either — a reasonable choice if other factors align with your goals.
Return / Risk — by metrics
The table below presents risk-adjusted performance metrics for Test and compares them with S&P 500 Index.
| Portfolio | Benchmark | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | 2.19 | 1.94 | +0.26 |
| Sortino ratioReturn per unit of downside risk | 2.99 | 2.63 | +0.36 |
| Omega ratioGain probability vs. loss probability | 1.40 | 1.35 | +0.05 |
| Calmar ratioReturn relative to maximum drawdown | 3.01 | 2.59 | +0.43 |
| Martin ratioReturn relative to average drawdown | 12.45 | 11.84 | +0.61 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
How much return does each position deliver for the risk it carries? Higher values mean better reward for the risk taken.
| Position | Risk / Return Rank | Sharpe ratio | Sortino ratio | Omega ratio | Calmar ratio | Martin ratio |
|---|---|---|---|---|---|---|
DFALX DFA Large Cap International Portfolio | 35 | 1.61 | 2.25 | 1.29 | 2.15 | 8.36 |
DFIV Dimensional International Value ETF | 78 | 2.36 | 3.20 | 1.42 | 3.39 | 13.05 |
DFUV Dimensional US Marketwide Value ETF | 90 | 2.78 | 3.83 | 1.49 | 5.51 | 19.90 |
HLMEX Harding Loevner Institutional Emerging Markets Portfolio | 71 | 2.32 | 3.09 | 1.44 | 2.96 | 11.52 |
IWB iShares Russell 1000 ETF | 66 | 1.98 | 2.68 | 1.36 | 2.71 | 12.38 |
IWD iShares Russell 1000 Value ETF | 84 | 2.44 | 3.41 | 1.44 | 3.93 | 16.40 |
VEA Vanguard FTSE Developed Markets ETF | 56 | 1.75 | 2.39 | 1.32 | 2.42 | 9.39 |
VONE Vanguard Russell 1000 ETF | 66 | 1.98 | 2.70 | 1.36 | 2.73 | 12.47 |
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Dividends
Dividend yield
Test provided a 5.20% dividend yield over the last twelve months.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Portfolio | 5.20% | 5.90% | 3.00% | 2.55% | 2.49% | 1.94% | 1.15% | 1.61% | 1.80% | 1.46% | 1.64% | 1.66% |
| Portfolio components: | ||||||||||||
DFALX DFA Large Cap International Portfolio | 2.80% | 2.89% | 3.18% | 3.24% | 2.86% | 3.00% | 1.88% | 2.88% | 3.07% | 2.55% | 2.89% | 2.94% |
DFIV Dimensional International Value ETF | 2.59% | 2.92% | 3.88% | 3.93% | 3.84% | 2.30% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
DFUV Dimensional US Marketwide Value ETF | 1.36% | 1.55% | 1.64% | 1.72% | 1.34% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
HLMEX Harding Loevner Institutional Emerging Markets Portfolio | 83.12% | 95.51% | 14.22% | 1.40% | 0.96% | 0.71% | 0.39% | 1.46% | 0.98% | 0.76% | 0.62% | 0.63% |
IWB iShares Russell 1000 ETF | 0.93% | 1.00% | 1.14% | 1.31% | 1.56% | 1.09% | 1.37% | 1.71% | 2.06% | 1.64% | 1.89% | 1.95% |
IWD iShares Russell 1000 Value ETF | 1.51% | 1.69% | 1.87% | 2.02% | 2.15% | 1.62% | 2.05% | 2.45% | 2.71% | 2.09% | 2.25% | 2.47% |
VEA Vanguard FTSE Developed Markets ETF | 2.69% | 3.22% | 3.35% | 3.15% | 2.91% | 3.16% | 2.04% | 3.04% | 3.35% | 2.77% | 3.05% | 2.92% |
VONE Vanguard Russell 1000 ETF | 1.01% | 1.07% | 1.20% | 1.40% | 1.59% | 1.16% | 1.45% | 1.65% | 1.96% | 1.69% | 1.89% | 1.89% |
Drawdowns
Drawdowns Chart
The Drawdowns chart displays portfolio losses from any high point along the way. Drawdowns are calculated considering price movements and all distributions paid, if any.
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Worst Drawdowns
The table below displays the maximum drawdowns of the Test. A maximum drawdown is a measure of risk, indicating the largest reduction in portfolio value due to a series of losing trades.
The maximum drawdown for the Test was 17.36%, occurring on Sep 30, 2022. Recovery took 77 trading sessions.
The current Test drawdown is 2.56%.
Related event | Drawdown | Fall | Recovery | Underwater |
|---|---|---|---|---|
Bear market2022 | -17.36%Sep 2022 | 3mo 29d | 3mo 25d | 7mo 24dJun 2022 - Jan 2023 |
2025 selloff2025 | -13.98%Apr 2025 | 1mo 18d | 1mo 4d | 2mo 22dFeb 2025 - May 2025 |
2023 correction2023 | -10.69%Oct 2023 | 2mo 27d | 1mo 17d | 4mo 14dAug 2023 - Dec 2023 |
2026 pullback2026 | -9.13%Mar 2026 | 1mo 2d | 18d | 1mo 20dFeb 2026 - Apr 2026 |
2023 pullback2023 | -7.75%Mar 2023 | 1mo 10d | 2mo 23d | 4mo 3dFeb 2023 - Jun 2023 |
Volatility
Volatility Chart
The chart below shows the rolling one-month volatility.
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Diversification
Diversification Metrics
Number of Effective Assets
The portfolio contains 8 assets, with an effective number of assets of 5.00, reflecting the diversification based on asset allocation. Your allocation shows noticeable concentration: a few holdings carry significantly more weight than the rest. Rebalancing toward more even weights — or adding less correlated assets — could reduce risk.
Diversification Ratio
1Y | 3Y | All Time | |
|---|---|---|---|
Diversification Ratio | 1.08 | 1.09 | 1.07 |
The portfolio has a diversification ratio of 1.07, placing it in the bottom quartile across portfolios — positions are highly correlated. Consider adding assets from different classes or sectors to reduce risk.
Test correlation to the S&P 500 Index
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.89 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.87 |
Correlation (All Time) Calculated using the full available price history since May 9, 2022 | 0.89 |
Benchmark Correlations
Correlation vs. S&P 500 Index. IWB has the highest benchmark correlation at 1.00, while HLMEX has the lowest at 0.66.
Asset Correlations Table
| HLMEX | DFIV | DFUV | IWD | DFALX | VONE | IWB | VEA | |
|---|---|---|---|---|---|---|---|---|
| HLMEX | 1.00 | 0.66 | 0.60 | 0.59 | 0.71 | 0.66 | 0.66 | 0.73 |
| DFIV | 0.66 | 1.00 | 0.75 | 0.75 | 0.95 | 0.67 | 0.67 | 0.94 |
| DFUV | 0.60 | 0.75 | 1.00 | 0.97 | 0.75 | 0.82 | 0.82 | 0.75 |
| IWD | 0.59 | 0.75 | 0.97 | 1.00 | 0.77 | 0.85 | 0.85 | 0.77 |
| DFALX | 0.71 | 0.95 | 0.75 | 0.77 | 1.00 | 0.76 | 0.76 | 0.98 |
| VONE | 0.66 | 0.67 | 0.82 | 0.85 | 0.76 | 1.00 | 1.00 | 0.78 |
| IWB | 0.66 | 0.67 | 0.82 | 0.85 | 0.76 | 1.00 | 1.00 | 0.78 |
| VEA | 0.73 | 0.94 | 0.75 | 0.77 | 0.98 | 0.78 | 0.78 | 1.00 |
Find what Test is missing
See which holdings overlap, where Test is concentrated, and which low-correlation assets could fill the gaps.
Analyze Diversification