Correlation Between Cb Large and Calamos Dividend
Can any of the company-specific risk be diversified away by investing in both Cb Large 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 Cb Large and Calamos Dividend into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cb Large Cap and Calamos Dividend Growth, you can compare the effects of market volatilities on Cb Large 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 Cb Large with a short position of Calamos Dividend. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cb Large and Calamos Dividend.
Diversification Opportunities for Cb Large and Calamos Dividend
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between CBLSX and Calamos is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Cb Large Cap 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 Cb 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 Cb Large Cap 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 Cb Large i.e., Cb Large and Calamos Dividend go up and down completely randomly.
Pair Corralation between Cb Large and Calamos Dividend
Assuming the 90 days horizon Cb Large is expected to generate 2.82 times less return on investment than Calamos Dividend. But when comparing it to its historical volatility, Cb Large Cap is 1.19 times less risky than Calamos Dividend. It trades about 0.08 of its potential returns per unit of risk. Calamos Dividend Growth is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 1,734 in Calamos Dividend Growth on September 13, 2024 and sell it today you would earn a total of 148.00 from holding Calamos Dividend Growth or generate 8.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.44% |
Values | Daily Returns |
Cb Large Cap vs. Calamos Dividend Growth
Performance |
Timeline |
Cb Large Cap |
Calamos Dividend Growth |
Cb Large and Calamos Dividend Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cb Large and Calamos Dividend
The main advantage of trading using opposite Cb Large and Calamos Dividend positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cb Large 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.Cb Large vs. Cb Large Cap | Cb Large vs. Invesco Disciplined Equity | Cb Large vs. Federated Mdt Large | Cb Large vs. Janus Forty Fund |
Calamos Dividend vs. The National Tax Free | Calamos Dividend vs. Artisan High Income | Calamos Dividend vs. California Bond Fund | Calamos Dividend vs. Alliancebernstein Bond |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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