Correlation Between Dunham Large and Calvert Aggressive
Can any of the company-specific risk be diversified away by investing in both Dunham Large and Calvert Aggressive 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 Dunham Large and Calvert Aggressive into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dunham Large Cap and Calvert Aggressive Allocation, you can compare the effects of market volatilities on Dunham Large and Calvert Aggressive 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 Dunham Large with a short position of Calvert Aggressive. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dunham Large and Calvert Aggressive.
Diversification Opportunities for Dunham Large and Calvert Aggressive
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dunham and Calvert is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Dunham Large Cap and Calvert Aggressive Allocation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Calvert Aggressive and Dunham Large 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 Dunham Large Cap are associated (or correlated) with Calvert Aggressive. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Calvert Aggressive has no effect on the direction of Dunham Large i.e., Dunham Large and Calvert Aggressive go up and down completely randomly.
Pair Corralation between Dunham Large and Calvert Aggressive
Assuming the 90 days horizon Dunham Large Cap is expected to under-perform the Calvert Aggressive. In addition to that, Dunham Large is 1.0 times more volatile than Calvert Aggressive Allocation. It trades about -0.4 of its total potential returns per unit of risk. Calvert Aggressive Allocation is currently generating about -0.08 per unit of volatility. If you would invest 2,806 in Calvert Aggressive Allocation on September 25, 2024 and sell it today you would lose (32.00) from holding Calvert Aggressive Allocation or give up 1.14% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.24% |
Values | Daily Returns |
Dunham Large Cap vs. Calvert Aggressive Allocation
Performance |
Timeline |
Dunham Large Cap |
Calvert Aggressive |
Dunham Large and Calvert Aggressive Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dunham Large and Calvert Aggressive
The main advantage of trading using opposite Dunham Large and Calvert Aggressive positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dunham Large position performs unexpectedly, Calvert Aggressive 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 Calvert Aggressive will offset losses from the drop in Calvert Aggressive's long position.Dunham Large vs. Dunham Dynamic Macro | Dunham Large vs. Dunham Appreciation Income | Dunham Large vs. Dunham Porategovernment Bond | Dunham Large vs. Dunham Small Cap |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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