Correlation Between World Energy and Calamos Convertible
Can any of the company-specific risk be diversified away by investing in both World Energy 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 World Energy and Calamos Convertible into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between World Energy Fund and Calamos Vertible Fund, you can compare the effects of market volatilities on World Energy 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 World Energy with a short position of Calamos Convertible. Check out your portfolio center. Please also check ongoing floating volatility patterns of World Energy and Calamos Convertible.
Diversification Opportunities for World Energy and Calamos Convertible
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between World and Calamos is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding World Energy Fund and Calamos Vertible Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Calamos Convertible and World Energy 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 World Energy Fund 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 World Energy i.e., World Energy and Calamos Convertible go up and down completely randomly.
Pair Corralation between World Energy and Calamos Convertible
Assuming the 90 days horizon World Energy Fund is expected to generate 1.98 times more return on investment than Calamos Convertible. However, World Energy is 1.98 times more volatile than Calamos Vertible Fund. It trades about 0.01 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 1,449 in World Energy Fund on December 28, 2024 and sell it today you would lose (4.00) from holding World Energy Fund or give up 0.28% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.36% |
Values | Daily Returns |
World Energy Fund vs. Calamos Vertible Fund
Performance |
Timeline |
World Energy |
Calamos Convertible |
Risk-Adjusted Performance
Very Weak
Weak | Strong |
World Energy and Calamos Convertible Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with World Energy and Calamos Convertible
The main advantage of trading using opposite World Energy and Calamos Convertible positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if World Energy 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.World Energy vs. American Funds Retirement | World Energy vs. Pgim Conservative Retirement | World Energy vs. T Rowe Price | World Energy vs. Tiaa Cref Lifecycle Retirement |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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