Correlation Between Calamos Vertible and Federated Mdt
Can any of the company-specific risk be diversified away by investing in both Calamos Vertible and Federated Mdt 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 Vertible and Federated Mdt into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Calamos Vertible Fund and Federated Mdt Balanced, you can compare the effects of market volatilities on Calamos Vertible and Federated Mdt 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 Vertible with a short position of Federated Mdt. Check out your portfolio center. Please also check ongoing floating volatility patterns of Calamos Vertible and Federated Mdt.
Diversification Opportunities for Calamos Vertible and Federated Mdt
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Calamos and Federated is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Calamos Vertible Fund and Federated Mdt Balanced in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Mdt Balanced and Calamos Vertible 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 Vertible Fund are associated (or correlated) with Federated Mdt. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Mdt Balanced has no effect on the direction of Calamos Vertible i.e., Calamos Vertible and Federated Mdt go up and down completely randomly.
Pair Corralation between Calamos Vertible and Federated Mdt
Assuming the 90 days horizon Calamos Vertible is expected to generate 1.11 times less return on investment than Federated Mdt. But when comparing it to its historical volatility, Calamos Vertible Fund is 1.24 times less risky than Federated Mdt. It trades about 0.06 of its potential returns per unit of risk. Federated Mdt Balanced is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 1,854 in Federated Mdt Balanced on October 25, 2024 and sell it today you would earn a total of 343.00 from holding Federated Mdt Balanced or generate 18.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Calamos Vertible Fund vs. Federated Mdt Balanced
Performance |
Timeline |
Calamos Vertible |
Federated Mdt Balanced |
Calamos Vertible and Federated Mdt Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Calamos Vertible and Federated Mdt
The main advantage of trading using opposite Calamos Vertible and Federated Mdt positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Calamos Vertible position performs unexpectedly, Federated Mdt 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 Federated Mdt will offset losses from the drop in Federated Mdt's long position.Calamos Vertible vs. Alpine Ultra Short | Calamos Vertible vs. Morningstar Municipal Bond | Calamos Vertible vs. T Rowe Price | Calamos Vertible vs. Franklin Adjustable Government |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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