Correlation Between Calamos Dynamic and Biotechnology Fund
Can any of the company-specific risk be diversified away by investing in both Calamos Dynamic and Biotechnology Fund 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 Dynamic and Biotechnology Fund into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Calamos Dynamic Convertible and Biotechnology Fund Class, you can compare the effects of market volatilities on Calamos Dynamic and Biotechnology Fund 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 Dynamic with a short position of Biotechnology Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of Calamos Dynamic and Biotechnology Fund.
Diversification Opportunities for Calamos Dynamic and Biotechnology Fund
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Calamos and Biotechnology is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Calamos Dynamic Convertible and Biotechnology Fund Class in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Biotechnology Fund Class and Calamos Dynamic 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 Dynamic Convertible are associated (or correlated) with Biotechnology Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Biotechnology Fund Class has no effect on the direction of Calamos Dynamic i.e., Calamos Dynamic and Biotechnology Fund go up and down completely randomly.
Pair Corralation between Calamos Dynamic and Biotechnology Fund
If you would invest 2,352 in Calamos Dynamic Convertible on September 12, 2024 and sell it today you would earn a total of 29.00 from holding Calamos Dynamic Convertible or generate 1.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 1.59% |
Values | Daily Returns |
Calamos Dynamic Convertible vs. Biotechnology Fund Class
Performance |
Timeline |
Calamos Dynamic Conv |
Biotechnology Fund Class |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Calamos Dynamic and Biotechnology Fund Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Calamos Dynamic and Biotechnology Fund
The main advantage of trading using opposite Calamos Dynamic and Biotechnology Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Calamos Dynamic position performs unexpectedly, Biotechnology Fund 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 Biotechnology Fund will offset losses from the drop in Biotechnology Fund's long position.Calamos Dynamic vs. Calamos Convertible Opportunities | Calamos Dynamic vs. Calamos Global Dynamic | Calamos Dynamic vs. Calamos Strategic Total | Calamos Dynamic vs. Calamos LongShort Equity |
Biotechnology Fund vs. Amg River Road | Biotechnology Fund vs. William Blair Small | Biotechnology Fund vs. Royce Opportunity Fund | Biotechnology Fund vs. Boston Partners Small |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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