Correlation Between Calamos Dynamic and Eaton Vance
Can any of the company-specific risk be diversified away by investing in both Calamos Dynamic and Eaton Vance 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 Calamos Dynamic and Eaton Vance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Calamos Dynamic Convertible and Eaton Vance Floating Rate, you can compare the effects of market volatilities on Calamos Dynamic and Eaton Vance 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 Calamos Dynamic with a short position of Eaton Vance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Calamos Dynamic and Eaton Vance.
Diversification Opportunities for Calamos Dynamic and Eaton Vance
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Calamos and Eaton is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Calamos Dynamic Convertible and Eaton Vance Floating Rate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eaton Vance Floating and Calamos Dynamic 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 Calamos Dynamic Convertible are associated (or correlated) with Eaton Vance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eaton Vance Floating has no effect on the direction of Calamos Dynamic i.e., Calamos Dynamic and Eaton Vance go up and down completely randomly.
Pair Corralation between Calamos Dynamic and Eaton Vance
Considering the 90-day investment horizon Calamos Dynamic Convertible is expected to under-perform the Eaton Vance. In addition to that, Calamos Dynamic is 9.78 times more volatile than Eaton Vance Floating Rate. It trades about -0.13 of its total potential returns per unit of risk. Eaton Vance Floating Rate is currently generating about 0.23 per unit of volatility. If you would invest 833.00 in Eaton Vance Floating Rate on August 29, 2024 and sell it today you would earn a total of 5.00 from holding Eaton Vance Floating Rate or generate 0.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Calamos Dynamic Convertible vs. Eaton Vance Floating Rate
Performance |
Timeline |
Calamos Dynamic Conv |
Eaton Vance Floating |
Calamos Dynamic and Eaton Vance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Calamos Dynamic and Eaton Vance
The main advantage of trading using opposite Calamos Dynamic and Eaton Vance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Calamos Dynamic position performs unexpectedly, Eaton Vance 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 Eaton Vance will offset losses from the drop in Eaton Vance's long position.Calamos Dynamic vs. Gabelli Global Small | Calamos Dynamic vs. MFS Investment Grade | Calamos Dynamic vs. Eaton Vance National | Calamos Dynamic vs. GAMCO Natural Resources |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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