Correlation Between Mainstay Convertible and Gabelli Convertible
Can any of the company-specific risk be diversified away by investing in both Mainstay Convertible and Gabelli 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 Mainstay Convertible and Gabelli Convertible into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mainstay Vertible Fund and Gabelli Convertible And, you can compare the effects of market volatilities on Mainstay Convertible and Gabelli 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 Mainstay Convertible with a short position of Gabelli Convertible. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mainstay Convertible and Gabelli Convertible.
Diversification Opportunities for Mainstay Convertible and Gabelli Convertible
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Mainstay and Gabelli is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Mainstay Vertible Fund and Gabelli Convertible And in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gabelli Convertible And and Mainstay Convertible 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 Mainstay Vertible Fund are associated (or correlated) with Gabelli Convertible. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gabelli Convertible And has no effect on the direction of Mainstay Convertible i.e., Mainstay Convertible and Gabelli Convertible go up and down completely randomly.
Pair Corralation between Mainstay Convertible and Gabelli Convertible
If you would invest 1,678 in Mainstay Vertible Fund on October 27, 2024 and sell it today you would earn a total of 239.00 from holding Mainstay Vertible Fund or generate 14.24% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Mainstay Vertible Fund vs. Gabelli Convertible And
Performance |
| Timeline |
| Mainstay Convertible |
| Gabelli Convertible And |
Mainstay Convertible and Gabelli Convertible Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Mainstay Convertible and Gabelli Convertible
The main advantage of trading using opposite Mainstay Convertible and Gabelli Convertible positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mainstay Convertible position performs unexpectedly, Gabelli 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 Gabelli Convertible will offset losses from the drop in Gabelli Convertible's long position.| Mainstay Convertible vs. Mainstay High Yield | Mainstay Convertible vs. Mainstay Income Builder | Mainstay Convertible vs. Mainstay Sp 500 | Mainstay Convertible vs. Mainstay Large Cap |
| Gabelli Convertible vs. Gabelli Global Small | Gabelli Convertible vs. MFS Investment Grade | Gabelli Convertible vs. Eaton Vance National | Gabelli Convertible vs. GAMCO Natural Resources |
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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