Correlation Between Dfa Commodity and Emerging Markets
Can any of the company-specific risk be diversified away by investing in both Dfa Commodity and Emerging Markets 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 Emerging Markets 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 Emerging Markets Sustainability, you can compare the effects of market volatilities on Dfa Commodity and Emerging Markets 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 Emerging Markets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dfa Commodity and Emerging Markets.
Diversification Opportunities for Dfa Commodity and Emerging Markets
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dfa and Emerging is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Dfa Commodity Strategy and Emerging Markets Sustainabilit in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Emerging Markets Sus 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 Emerging Markets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Emerging Markets Sus has no effect on the direction of Dfa Commodity i.e., Dfa Commodity and Emerging Markets go up and down completely randomly.
Pair Corralation between Dfa Commodity and Emerging Markets
Assuming the 90 days horizon Dfa Commodity Strategy is expected to generate 1.4 times more return on investment than Emerging Markets. However, Dfa Commodity is 1.4 times more volatile than Emerging Markets Sustainability. It trades about -0.02 of its potential returns per unit of risk. Emerging Markets Sustainability is currently generating about -0.31 per unit of risk. If you would invest 449.00 in Dfa Commodity Strategy on October 7, 2024 and sell it today you would lose (2.00) from holding Dfa Commodity Strategy or give up 0.45% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Dfa Commodity Strategy vs. Emerging Markets Sustainabilit
Performance |
Timeline |
Dfa Commodity Strategy |
Emerging Markets Sus |
Dfa Commodity and Emerging Markets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dfa Commodity and Emerging Markets
The main advantage of trading using opposite Dfa Commodity and Emerging Markets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dfa Commodity position performs unexpectedly, Emerging Markets 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 Emerging Markets will offset losses from the drop in Emerging Markets' long position.Dfa Commodity vs. Pioneer Amt Free Municipal | Dfa Commodity vs. Pace Municipal Fixed | Dfa Commodity vs. Virtus Seix Government | Dfa Commodity vs. Ishares Municipal Bond |
Emerging Markets vs. Dfa Intl Sustainability | Emerging Markets vs. Dfa Sustainability Core | Emerging Markets vs. Dfa Investment Dimensions | Emerging Markets vs. Dfa Sustainability Targeted |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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