Correlation Between Dfa - and Emerging Markets
Can any of the company-specific risk be diversified away by investing in both Dfa - 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 - 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 Small and Emerging Markets Targeted, you can compare the effects of market volatilities on Dfa - 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 - with a short position of Emerging Markets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dfa - and Emerging Markets.
Diversification Opportunities for Dfa - and Emerging Markets
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Dfa and Emerging is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Dfa Small and Emerging Markets Targeted in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Emerging Markets Targeted and Dfa - 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 Small 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 Targeted has no effect on the direction of Dfa - i.e., Dfa - and Emerging Markets go up and down completely randomly.
Pair Corralation between Dfa - and Emerging Markets
Assuming the 90 days horizon Dfa - is expected to generate 3.27 times less return on investment than Emerging Markets. In addition to that, Dfa - is 1.53 times more volatile than Emerging Markets Targeted. It trades about 0.01 of its total potential returns per unit of risk. Emerging Markets Targeted is currently generating about 0.04 per unit of volatility. If you would invest 1,325 in Emerging Markets Targeted on September 6, 2025 and sell it today you would earn a total of 21.00 from holding Emerging Markets Targeted or generate 1.58% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Dfa Small vs. Emerging Markets Targeted
Performance |
| Timeline |
| Dfa Small |
| Emerging Markets Targeted |
Dfa - and Emerging Markets Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Dfa - and Emerging Markets
The main advantage of trading using opposite Dfa - and Emerging Markets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dfa - 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 - vs. Alternative Asset Allocation | Dfa - vs. Enhanced Large Pany | Dfa - vs. Locorr Strategic Allocation | Dfa - vs. Gmo Equity Allocation |
| Emerging Markets vs. Vanguard High Yield Tax Exempt | Emerging Markets vs. Gmo Quality Fund | Emerging Markets vs. Pnc Emerging Markets | Emerging Markets vs. Federated Municipal High |
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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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