Correlation Between Calvert Balanced and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Calvert Balanced and Dow Jones 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 Calvert Balanced and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Calvert Balanced Portfolio and Dow Jones Industrial, you can compare the effects of market volatilities on Calvert Balanced and Dow Jones 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 Calvert Balanced with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Calvert Balanced and Dow Jones.
Diversification Opportunities for Calvert Balanced and Dow Jones
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Calvert and Dow is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Calvert Balanced Portfolio and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Calvert Balanced 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 Calvert Balanced Portfolio are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Calvert Balanced i.e., Calvert Balanced and Dow Jones go up and down completely randomly.
Pair Corralation between Calvert Balanced and Dow Jones
Assuming the 90 days horizon Calvert Balanced Portfolio is expected to generate 0.6 times more return on investment than Dow Jones. However, Calvert Balanced Portfolio is 1.66 times less risky than Dow Jones. It trades about 0.28 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.15 per unit of risk. If you would invest 4,320 in Calvert Balanced Portfolio on May 7, 2025 and sell it today you would earn a total of 373.00 from holding Calvert Balanced Portfolio or generate 8.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Calvert Balanced Portfolio vs. Dow Jones Industrial
Performance |
Timeline |
Calvert Balanced and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Calvert Balanced Portfolio
Pair trading matchups for Calvert Balanced
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Calvert Balanced and Dow Jones
The main advantage of trading using opposite Calvert Balanced and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Calvert Balanced position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Calvert Balanced vs. Aqr Large Cap | Calvert Balanced vs. Mh Elite Fund | Calvert Balanced vs. Tax Managed Large Cap | Calvert Balanced vs. Alternative Asset Allocation |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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