Correlation Between Dfa Inflation and Emerging Markets
Can any of the company-specific risk be diversified away by investing in both Dfa Inflation 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 Inflation 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 Inflation Protected and Emerging Markets Targeted, you can compare the effects of market volatilities on Dfa Inflation 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 Inflation with a short position of Emerging Markets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dfa Inflation and Emerging Markets.
Diversification Opportunities for Dfa Inflation and Emerging Markets
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Dfa and Emerging is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Dfa Inflation Protected 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 Inflation 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 Inflation Protected 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 Inflation i.e., Dfa Inflation and Emerging Markets go up and down completely randomly.
Pair Corralation between Dfa Inflation and Emerging Markets
Assuming the 90 days horizon Dfa Inflation is expected to generate 4.29 times less return on investment than Emerging Markets. But when comparing it to its historical volatility, Dfa Inflation Protected is 2.84 times less risky than Emerging Markets. It trades about 0.16 of its potential returns per unit of risk. Emerging Markets Targeted is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest 1,173 in Emerging Markets Targeted on May 17, 2025 and sell it today you would earn a total of 128.00 from holding Emerging Markets Targeted or generate 10.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Dfa Inflation Protected vs. Emerging Markets Targeted
Performance |
Timeline |
Dfa Inflation Protected |
Emerging Markets Targeted |
Dfa Inflation and Emerging Markets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dfa Inflation and Emerging Markets
The main advantage of trading using opposite Dfa Inflation and Emerging Markets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dfa Inflation 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 Inflation vs. International E Equity | Dfa Inflation vs. Dfa Real Estate | Dfa Inflation vs. Emerging Markets E | Dfa Inflation vs. Dfa Five Year Global |
Emerging Markets vs. Flkypx | Emerging Markets vs. Qs Large Cap | Emerging Markets vs. Balanced Fund Retail | Emerging Markets vs. Tax Managed 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 AI Portfolio Prophet module to use AI to generate optimal portfolios and find profitable investment opportunities.
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