Correlation Between Calamos Global and American Century
Can any of the company-specific risk be diversified away by investing in both Calamos Global and American Century 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 American Century 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 American Century High, you can compare the effects of market volatilities on Calamos Global and American Century 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 American Century. Check out your portfolio center. Please also check ongoing floating volatility patterns of Calamos Global and American Century.
Diversification Opportunities for Calamos Global and American Century
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between CALAMOS and American is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Calamos Global Growth and American Century High in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Century High 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 American Century. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Century High has no effect on the direction of Calamos Global i.e., Calamos Global and American Century go up and down completely randomly.
Pair Corralation between Calamos Global and American Century
Assuming the 90 days horizon Calamos Global Growth is expected to under-perform the American Century. In addition to that, Calamos Global is 4.27 times more volatile than American Century High. It trades about -0.06 of its total potential returns per unit of risk. American Century High is currently generating about 0.14 per unit of volatility. If you would invest 848.00 in American Century High on December 21, 2024 and sell it today you would earn a total of 16.00 from holding American Century High or generate 1.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Calamos Global Growth vs. American Century High
Performance |
Timeline |
Calamos Global Growth |
American Century High |
Calamos Global and American Century Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Calamos Global and American Century
The main advantage of trading using opposite Calamos Global and American Century positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Calamos Global position performs unexpectedly, American Century 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 American Century will offset losses from the drop in American Century'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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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