Correlation Between American Century and Calamos ETF
Can any of the company-specific risk be diversified away by investing in both American Century and Calamos ETF 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 American Century and Calamos ETF into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Century Quality and Calamos ETF Trust, you can compare the effects of market volatilities on American Century and Calamos ETF 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 American Century with a short position of Calamos ETF. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Century and Calamos ETF.
Diversification Opportunities for American Century and Calamos ETF
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between American and Calamos is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding American Century Quality and Calamos ETF Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Calamos ETF Trust and American Century 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 American Century Quality are associated (or correlated) with Calamos ETF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Calamos ETF Trust has no effect on the direction of American Century i.e., American Century and Calamos ETF go up and down completely randomly.
Pair Corralation between American Century and Calamos ETF
Given the investment horizon of 90 days American Century is expected to generate 2.05 times less return on investment than Calamos ETF. But when comparing it to its historical volatility, American Century Quality is 1.94 times less risky than Calamos ETF. It trades about 0.27 of its potential returns per unit of risk. Calamos ETF Trust is currently generating about 0.28 of returns per unit of risk over similar time horizon. If you would invest 2,787 in Calamos ETF Trust on August 30, 2024 and sell it today you would earn a total of 469.00 from holding Calamos ETF Trust or generate 16.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
American Century Quality vs. Calamos ETF Trust
Performance |
Timeline |
American Century Quality |
Calamos ETF Trust |
American Century and Calamos ETF Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Century and Calamos ETF
The main advantage of trading using opposite American Century and Calamos ETF positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Century position performs unexpectedly, Calamos ETF 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 ETF will offset losses from the drop in Calamos ETF's long position.American Century vs. American Century ETF | American Century vs. American Century Quality | American Century vs. Rareview Dynamic Fixed | American Century vs. First Trust Exchange |
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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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