Correlation Between Dfa Commodity and Gmo Emerging
Can any of the company-specific risk be diversified away by investing in both Dfa Commodity and Gmo Emerging 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 Gmo Emerging 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 Gmo Emerging Markets, you can compare the effects of market volatilities on Dfa Commodity and Gmo Emerging 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 Gmo Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dfa Commodity and Gmo Emerging.
Diversification Opportunities for Dfa Commodity and Gmo Emerging
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dfa and Gmo is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Dfa Commodity Strategy and Gmo Emerging Markets in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gmo Emerging Markets 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 Gmo Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gmo Emerging Markets has no effect on the direction of Dfa Commodity i.e., Dfa Commodity and Gmo Emerging go up and down completely randomly.
Pair Corralation between Dfa Commodity and Gmo Emerging
Assuming the 90 days horizon Dfa Commodity is expected to generate 5.15 times less return on investment than Gmo Emerging. In addition to that, Dfa Commodity is 1.12 times more volatile than Gmo Emerging Markets. It trades about 0.04 of its total potential returns per unit of risk. Gmo Emerging Markets is currently generating about 0.23 per unit of volatility. If you would invest 1,205 in Gmo Emerging Markets on May 3, 2025 and sell it today you would earn a total of 124.00 from holding Gmo Emerging Markets or generate 10.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Dfa Commodity Strategy vs. Gmo Emerging Markets
Performance |
Timeline |
Dfa Commodity Strategy |
Gmo Emerging Markets |
Dfa Commodity and Gmo Emerging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dfa Commodity and Gmo Emerging
The main advantage of trading using opposite Dfa Commodity and Gmo Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dfa Commodity position performs unexpectedly, Gmo Emerging 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 Gmo Emerging will offset losses from the drop in Gmo Emerging's long position.Dfa Commodity vs. Franklin Adjustable Government | Dfa Commodity vs. Bny Mellon Short Term | Dfa Commodity vs. Us Government Securities | Dfa Commodity vs. Federated Government Income |
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Check out your portfolio center.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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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