Dfa Commodity Strategy Fund Manager Performance Evaluation
| DCMSX Fund | USD 5.62 -0.22 -3.77% |
The fund has a Beta (Systematic Risk) of -0.14, which signifies very low measured sensitivity to broad market movements. Returns on Dfa Commodity tend to move against the broader market, though the counter-movement is modest relative to the index.
Risk-Adjusted Performance
Constructive
Weak | Strong |
Across the last 90 days, the risk-adjusted return profile of Dfa Commodity Strategy is weaker than 21% of the funds and fund portfolios reviewed by Macroaxis. Used properly, the ranking helps separate absolute gains from efficient gains. Despite somewhat weak basic indicators, Dfa Commodity sustained solid returns over the last few months and may actually be approaching a breakup point. Learn More
Dfa |
Relative Risk vs. Return Landscape
If you had invested $ 471.00 in Dfa Commodity Strategy on December 23, 2025 and sold it today you would have earned a total of $ 113.00 from holding Dfa Commodity Strategy or generated 23.99% return on investment over 90 days. Dfa Commodity Strategy is currently producing a 0.362% return and carries 1.3436% volatility of returns over 90 trading days. Put another way, 12% of traded mutual funds are less volatile than Dfa, and 93% of all traded equity instruments are likely to generate higher returns over the next 90 trading days. Expected Return |
| Risk |
Target Price Odds to finish over Current Price
For Dfa Mutual Fund, the tendency of price to converge toward a long-term average provides a useful forecasting baseline. Investors have relied on this tendency for decades, though persistent mispricings in some instruments suggest additional risk factors.
| Current Price | Horizon | Target Price | Odds moving above the current price in 90 days |
| 5.62 | 90 days | 5.62 | about 10.92 |
Based on standard probability analysis, the odds of Dfa Commodity moving above the current price in 90 days from now are about 10.92 . Historical price behavior and variance analysis form the basis of this probability estimate. (The chart above shows the probability distribution of Dfa Mutual Fund prices over the next 90 days). The tails of the distribution show the probability of extreme price movements in Dfa Mutual Fund over 90 days.
Dfa Commodity Price Density |
| Price |
Predictive Modules for Dfa Commodity
A variety of analytical techniques are available for forecasting Dfa Commodity Strategy and the broader fund market. From technical pattern analysis to statistical models, each method contributes a different perspective on Dfa Commodity Strategy.The mean reversion principle applied to Dfa Commodity's suggests that neither prolonged outperformance nor underperformance is permanent. Identifying the root cause of Dfa Commodity's price dislocation is essential before acting on a mean reversion signal.
Primary Risk Indicators
The past 10-20 years have brought considerable volatility to the mutual fund market, with Dfa Commodity experiencing notable price swings. Dfa Commodity has reflected this volatile environment with periods of significant price swings.α | Alpha over Dow Jones | 0.34 | |
β | Beta against Dow Jones | -0.14 | |
σ | Overall volatility | 0.39 | |
Ir | Information ratio | 0.35 |
Investor Alerts and Insights
Alerts and suggestions for Dfa Commodity give investors a structured way to monitor the fund for material events. Dfa Commodity Strategy alerts cover shifts in fundamentals, technical conditions, and significant market-moving events.| The fund retains about 12.84% of its assets under management (AUM) in cash |
Dfa Commodity Fundamentals Growth
Dfa Mutual Fund performance is fundamentally tied to Dfa Commodity's financial health and growth outlook. Investors track revenue and earnings growth, margin stability, and balance sheet health for Dfa Mutual Fund.
| Total Asset | 1.42 B | |||
Performance Metrics & Calculation Methodology
Dfa Commodity performance is typically evaluated through NAV-based returns relative to category peers and stated objectives. Liquidity conditions can influence realized performance through spreads and execution cost.
The analytics block for Dfa Commodity Strategy relies on fund disclosures and market reference feeds, with quality checks and normalization applied before rendering. Timing can vary by data vendor. Return and risk statistics are calculated from historical price series.