Correlation Between Dfa Mn and Dfa California
Can any of the company-specific risk be diversified away by investing in both Dfa Mn and Dfa California 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 Mn and Dfa California into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dfa Mn Municipal and Dfa California Municipal, you can compare the effects of market volatilities on Dfa Mn and Dfa California 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 Mn with a short position of Dfa California. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dfa Mn and Dfa California.
Diversification Opportunities for Dfa Mn and Dfa California
0.96 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Dfa and Dfa is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding Dfa Mn Municipal and Dfa California Municipal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dfa California Municipal and Dfa Mn 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 Mn Municipal are associated (or correlated) with Dfa California. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dfa California Municipal has no effect on the direction of Dfa Mn i.e., Dfa Mn and Dfa California go up and down completely randomly.
Pair Corralation between Dfa Mn and Dfa California
Assuming the 90 days horizon Dfa Mn Municipal is expected to generate 0.8 times more return on investment than Dfa California. However, Dfa Mn Municipal is 1.25 times less risky than Dfa California. It trades about 0.5 of its potential returns per unit of risk. Dfa California Municipal is currently generating about 0.31 per unit of risk. If you would invest 977.00 in Dfa Mn Municipal on May 21, 2025 and sell it today you would earn a total of 14.00 from holding Dfa Mn Municipal or generate 1.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Dfa Mn Municipal vs. Dfa California Municipal
Performance |
Timeline |
Dfa Mn Municipal |
Dfa California Municipal |
Dfa Mn and Dfa California Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dfa Mn and Dfa California
The main advantage of trading using opposite Dfa Mn and Dfa California positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dfa Mn position performs unexpectedly, Dfa California 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 Dfa California will offset losses from the drop in Dfa California's long position.The idea behind Dfa Mn Municipal and Dfa California Municipal pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Dfa California vs. Dfa Intl Core | Dfa California vs. Dfa Intl Core | Dfa California vs. Dfa Intl Core | Dfa California vs. Dfa Intl Core |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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