Correlation Between Dfa Commodity and Dfa Selectively

Can any of the company-specific risk be diversified away by investing in both Dfa Commodity and Dfa Selectively at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Dfa Commodity and Dfa Selectively into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Dfa Commodity Strategy and Dfa Selectively Hedged, you can compare the effects of market volatilities on Dfa Commodity and Dfa Selectively and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Dfa Commodity with a short position of Dfa Selectively. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dfa Commodity and Dfa Selectively.

Diversification Opportunities for Dfa Commodity and Dfa Selectively

0.0

Correlation Coefficient

Dfa Commodity  Dfa Selectively

Pay attention - limited upside

The 3 months correlation between Dfa and Dfa is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Dfa Commodity Strategy and Dfa Selectively Hedged in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dfa Selectively Hedged and Dfa Commodity is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Dfa Commodity Strategy are associated (or correlated) with Dfa Selectively. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dfa Selectively Hedged has no effect on the direction of Dfa Commodity i.e., Dfa Commodity and Dfa Selectively go up and down completely randomly.

Pair Corralation between Dfa Commodity and Dfa Selectively

If you would invest  934.00  in Dfa Selectively Hedged on May 7, 2025 and sell it today you would earn a total of  13.00  from holding Dfa Selectively Hedged or generate 1.39% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	1.64%
Values	Daily Returns

Dfa Commodity Strategy  vs.  Dfa Selectively Hedged

Dfa Commodity Strategy

Risk-Adjusted Performance

Weak

Over the last 90 days Dfa Commodity Strategy has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Dfa Commodity is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Dfa Selectively Hedged

Risk-Adjusted Performance

Strong

Compared to the overall equity markets, risk-adjusted returns on investments in Dfa Selectively Hedged are ranked lower than 28 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong technical indicators, Dfa Selectively is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Dfa Commodity and Dfa Selectively

The main advantage of trading using opposite Dfa Commodity and Dfa Selectively positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dfa Commodity position performs unexpectedly, Dfa Selectively can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Dfa Selectively will offset losses from the drop in Dfa Selectively's long position.

The idea behind Dfa Commodity Strategy and Dfa Selectively Hedged pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.