Dimensional Small Cap Etf Performance
| DFAS Etf | USD 71.13 0.55 0.78% |
The etf has a beta of 1.15, which means a somewhat significant risk relative to the market. As the market goes up, the ETF is expected to outperform it. However, if the market returns are negative, Dimensional Small will likely underperform.
Risk-Adjusted Performance
Soft
Weak | Strong |
Compared with the broader market, risk-adjusted returns on Dimensional Small Cap rank lower than 1% of all global equities and portfolios over the last 90 days. This score becomes more useful when investors compare it with downside risk, Sharpe Ratio, and current trend stability. In spite of comparatively stable basic indicators, Dimensional Small is not utilizing all of its potential. The latest price uproar may contribute to short-horizon losses for private investors. Learn More
1 | Plancorp LLC Has 90.74 Million Stock Holdings in Dimensional U.S. Small Cap ETF DFAS | 12/24/2025 |
2 | Index Fund Advisors Inc. Boosts Position in Dimensional U.S. Small Cap ETF DFAS | 01/07/2026 |
3 | Dimensional U.S. Small Cap ETF Short Interest Up 168.9 percent in January | 01/29/2026 |
4 | Stordahl Capital Management Inc. Has 49.40 Million Stock Position in Dimensional U.S. Small Cap ETF DFAS | 02/05/2026 |
5 | Dimensional U.S. Small Cap ETF Short Interest Update | 02/12/2026 |
6 | Larson Financial Group LLC Cuts Holdings in Dimensional U.S. Small Cap ETF DFAS | 03/17/2026 |
Dimensional | Build portfolio with Dimensional Etf |
Relative Risk vs. Return Landscape
If you had invested $ 7,061 in Dimensional Small Cap on December 18, 2025 and sold it today you would have earned a total of $ 52.00 from holding Dimensional Small Cap or generated 0.74% return on investment over 90 days. Dimensional Small Cap is currently generating a 0.0175% daily expected return and carries 1.0357% risk (volatility on return distribution) over a 90-day horizon. In different words, 9% of etfs are less volatile than Dimensional, and 99% of all traded equity instruments are projected to make higher returns than the ETF over the 90 days investment horizon. Expected Return |
| Risk |
Target Price Odds to finish over Current Price
The tendency of Dimensional Etf price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of organized markets for forecasting. However, many studies suggest that some traded ETFs are consistently mispriced before demand and supply correct the spread. One possible explanation is that these ETFs carry additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds moving above the current price in 90 days |
| 71.13 | 90 days | 71.13 | about 85.65 |
Based on a normal probability distribution, the odds of Dimensional Small moving above the current price in 90 days from now are about 85.65 (This Dimensional Small Cap probability density function shows the probability of Dimensional Etf falling within a particular range of prices over 90 days).
Dimensional Small Price Density |
| Price |
Predictive Modules for Dimensional Small
There are currently many different techniques concerning forecasting the ETF market as a whole, as well as predicting future values of individual instruments such as Dimensional Small Cap. Regardless of method or technology, however, to accurately forecast the ETF market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dimensional Small's price to converge to an average value over time is called mean reversion.
Primary Risk Indicators
The last 10-20 years have been a volatile period for the etf market. Dimensional Small is no exception. The market experienced several large corrections towards Dimensional Small's value, including sharp drops and substantial rallies. An investor can limit portfolio swings by implementing a hedging strategy designed to reduce downside losses. If you hold Dimensional Small Cap, one way to protect your portfolio is to watch for changing volatility and market elasticity of Dimensional Small within the framework of fundamental risk indicators.α | Alpha over Dow Jones | 0.04 | |
β | Beta against Dow Jones | 1.15 | |
σ | Overall volatility | 2.01 | |
Ir | Information ratio | 0.03 |
Investor Alerts and Insights
Automated alerts tied to Dimensional Small help investors stay ahead of material changes in ETF conditions. Monitoring ongoing notifications for Dimensional Small Cap is a practical way to spot shifts in technical or fundamental signals that may affect investment timing.| Latest headline from finance.yahoo.com: The Small Cap ETF With 2.2 Billion in Assets That Keeps Beating All Benchmarks Needs To Be Studied | |
| The fund retains 99.97% of its assets under management (AUM) in equities |
Dimensional Small Fundamentals Growth
Dimensional Etf prices reflect investors' perceptions of the future prospects and financial health of Dimensional Small, and Dimensional Small fundamentals are critical determinants of its market performance. Overall, investors pay close attention to revenue and earnings growth, profit margins, and debt levels. These fundamentals can have a significant impact on Dimensional Etf performance.
| Total Asset | 4.05 B | |||
Performance Metrics & Calculation Methodology
Dimensional Small performance is typically evaluated relative to its benchmark and tracking difference over time. Risk-adjusted measures provide context for return efficiency across regimes.
Unless otherwise specified, data for Dimensional Small Cap is compiled from fund disclosures and market reference feeds and standardized for comparability. Updates may occur throughout the day. Return and risk statistics are calculated from historical price series.