Correlation Between Dfa Ca and Emerging Markets
Can any of the company-specific risk be diversified away by investing in both Dfa Ca 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 Ca 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 Ca Int Tr and Emerging Markets Portfolio, you can compare the effects of market volatilities on Dfa Ca 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 Ca with a short position of Emerging Markets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dfa Ca and Emerging Markets.
Diversification Opportunities for Dfa Ca and Emerging Markets
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Dfa and Emerging is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Dfa Ca Int Tr and Emerging Markets Portfolio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Emerging Markets Por and Dfa Ca 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 Ca Int Tr 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 Por has no effect on the direction of Dfa Ca i.e., Dfa Ca and Emerging Markets go up and down completely randomly.
Pair Corralation between Dfa Ca and Emerging Markets
Assuming the 90 days horizon Dfa Ca is expected to generate 3.58 times less return on investment than Emerging Markets. But when comparing it to its historical volatility, Dfa Ca Int Tr is 6.93 times less risky than Emerging Markets. It trades about 0.3 of its potential returns per unit of risk. Emerging Markets Portfolio is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 3,258 in Emerging Markets Portfolio on July 14, 2025 and sell it today you would earn a total of 242.00 from holding Emerging Markets Portfolio or generate 7.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Dfa Ca Int Tr vs. Emerging Markets Portfolio
Performance |
Timeline |
Dfa Ca Int |
Emerging Markets Por |
Dfa Ca and Emerging Markets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dfa Ca and Emerging Markets
The main advantage of trading using opposite Dfa Ca and Emerging Markets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dfa Ca 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 Ca vs. Intal High Relative | Dfa Ca vs. Dfa International | Dfa Ca vs. Dfa Inflation Protected | Dfa Ca vs. Dfa International Small |
Emerging Markets vs. International Small Pany | Emerging Markets vs. Dfa International Small | Emerging Markets vs. Dfa International Value | Emerging Markets vs. Us Large Cap |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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