Correlation Between Calvert Global and Calamos Convertible
Can any of the company-specific risk be diversified away by investing in both Calvert Global and Calamos Convertible 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 Global and Calamos Convertible into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Calvert Global Energy and Calamos Vertible Fund, you can compare the effects of market volatilities on Calvert Global and Calamos Convertible 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 Global with a short position of Calamos Convertible. Check out your portfolio center. Please also check ongoing floating volatility patterns of Calvert Global and Calamos Convertible.
Diversification Opportunities for Calvert Global and Calamos Convertible
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between Calvert and Calamos is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding Calvert Global Energy and Calamos Vertible Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Calamos Convertible and Calvert Global 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 Global Energy are associated (or correlated) with Calamos Convertible. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Calamos Convertible has no effect on the direction of Calvert Global i.e., Calvert Global and Calamos Convertible go up and down completely randomly.
Pair Corralation between Calvert Global and Calamos Convertible
Assuming the 90 days horizon Calvert Global Energy is expected to generate 1.27 times more return on investment than Calamos Convertible. However, Calvert Global is 1.27 times more volatile than Calamos Vertible Fund. It trades about -0.02 of its potential returns per unit of risk. Calamos Vertible Fund is currently generating about -0.06 per unit of risk. If you would invest 1,047 in Calvert Global Energy on December 29, 2024 and sell it today you would lose (15.00) from holding Calvert Global Energy or give up 1.43% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Calvert Global Energy vs. Calamos Vertible Fund
Performance |
Timeline |
Calvert Global Energy |
Calamos Convertible |
Calvert Global and Calamos Convertible Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Calvert Global and Calamos Convertible
The main advantage of trading using opposite Calvert Global and Calamos Convertible positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Calvert Global position performs unexpectedly, Calamos Convertible 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 Calamos Convertible will offset losses from the drop in Calamos Convertible's long position.Calvert Global vs. International Investors Gold | Calvert Global vs. Gabelli Gold Fund | Calvert Global vs. Gamco Global Gold | Calvert Global vs. Precious Metals And |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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