Dfa Commodity Correlations

DCMSX Fund  USD 4.76  0.03  0.63%   
The current 90-days correlation between Dfa Commodity Strategy and Small Cap Equity is -0.11 (i.e., Good diversification). The correlation of Dfa Commodity is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak. If the correlation is 0, the equities are not correlated; they are entirely random.

Dfa Commodity Correlation With Market

Significant diversification

The correlation between Dfa Commodity Strategy and DJI is 0.04 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Dfa Commodity Strategy and DJI in the same portfolio, assuming nothing else is changed.
  
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Dfa Commodity Strategy. Also, note that the market value of any mutual fund could be closely tied with the direction of predictive economic indicators such as signals in real.

Moving together with Dfa Mutual Fund

  0.75DRIKX Dimensional 2055 TargetPairCorr
  0.61DAABX Dfa SustainabilityPairCorr
  0.73DSHGX Dfa Selectively HedgedPairCorr

Moving against Dfa Mutual Fund

  0.47DIPSX Dfa Inflation ProtectedPairCorr
  0.57DRXIX Dfa Ltip PortfolioPairCorr
  0.53DWFIX Dfa World ExPairCorr

Related Correlations Analysis


Risk-Adjusted Indicators

There is a big difference between Dfa Mutual Fund performing well and Dfa Commodity Mutual Fund doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Dfa Commodity's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.
Mean DeviationJensen AlphaSortino RatioTreynor RatioSemi DeviationExpected ShortfallPotential UpsideValue @RiskMaximum Drawdown
GTCSX  0.91  0.09  0.09  0.16  0.88 
 2.28 
 8.70 
AOCIX  0.28  0.01 (0.11) 0.12  0.20 
 0.60 
 2.53 
EPLPX  0.58  0.10  0.05  0.70  0.44 
 1.13 
 6.46 
ARDVX  0.54  0.15  0.24  0.33  0.00 
 0.77 
 12.32 
FPHAX  0.83  0.08  0.02  0.48  0.94 
 2.16 
 5.78 
DILRX  0.63 (0.02)(0.03) 0.07  0.80 
 1.20 
 2.69 
GINDX  0.64  0.06  0.04  0.15  0.92 
 1.47 
 4.43 
PIEQX  0.59  0.01  0.00  0.10  0.70 
 1.15 
 2.76 
TISVX  0.58 (0.01)(0.05) 0.07  0.69 
 1.25 
 3.41 
IDXQX  0.54 (0.01)(0.03) 0.07  0.73 
 1.03 
 2.96