Correlation Between Calamos Global and Calamos Dividend
Can any of the company-specific risk be diversified away by investing in both Calamos Global and Calamos Dividend 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 Global and Calamos Dividend into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Calamos Global Growth and Calamos Dividend Growth, you can compare the effects of market volatilities on Calamos Global and Calamos Dividend 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 Global with a short position of Calamos Dividend. Check out your portfolio center. Please also check ongoing floating volatility patterns of Calamos Global and Calamos Dividend.
Diversification Opportunities for Calamos Global and Calamos Dividend
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Calamos and Calamos is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Calamos Global Growth and Calamos Dividend Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Calamos Dividend Growth and Calamos 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 Calamos Global Growth are associated (or correlated) with Calamos Dividend. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Calamos Dividend Growth has no effect on the direction of Calamos Global i.e., Calamos Global and Calamos Dividend go up and down completely randomly.
Pair Corralation between Calamos Global and Calamos Dividend
Assuming the 90 days horizon Calamos Global Growth is expected to under-perform the Calamos Dividend. In addition to that, Calamos Global is 1.29 times more volatile than Calamos Dividend Growth. It trades about -0.13 of its total potential returns per unit of risk. Calamos Dividend Growth is currently generating about -0.05 per unit of volatility. If you would invest 1,993 in Calamos Dividend Growth on November 29, 2024 and sell it today you would lose (58.00) from holding Calamos Dividend Growth or give up 2.91% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Calamos Global Growth vs. Calamos Dividend Growth
Performance |
Timeline |
Calamos Global Growth |
Calamos Dividend Growth |
Calamos Global and Calamos Dividend Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Calamos Global and Calamos Dividend
The main advantage of trading using opposite Calamos Global and Calamos Dividend positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Calamos Global position performs unexpectedly, Calamos Dividend 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 Dividend will offset losses from the drop in Calamos Dividend's long position.Calamos Global vs. Calamos Growth Income | Calamos Global vs. Calamos Opportunistic Value | Calamos Global vs. Calamos International Growth | Calamos Global vs. Calamos Market Neutral |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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