Correlation Between Gabelli Convertible and Bny Mellon
Can any of the company-specific risk be diversified away by investing in both Gabelli Convertible and Bny Mellon 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 Gabelli Convertible and Bny Mellon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gabelli Convertible And and Bny Mellon Municipal, you can compare the effects of market volatilities on Gabelli Convertible and Bny Mellon 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 Gabelli Convertible with a short position of Bny Mellon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gabelli Convertible and Bny Mellon.
Diversification Opportunities for Gabelli Convertible and Bny Mellon
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Gabelli and Bny is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Gabelli Convertible And and Bny Mellon Municipal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bny Mellon Municipal and Gabelli 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 Gabelli Convertible And are associated (or correlated) with Bny Mellon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bny Mellon Municipal has no effect on the direction of Gabelli Convertible i.e., Gabelli Convertible and Bny Mellon go up and down completely randomly.
Pair Corralation between Gabelli Convertible and Bny Mellon
Considering the 90-day investment horizon Gabelli Convertible And is not expected to generate positive returns. Moreover, Gabelli Convertible is 4.69 times more volatile than Bny Mellon Municipal. It trades away all of its potential returns to assume current level of volatility. Bny Mellon Municipal is currently generating about 0.06 per unit of risk. If you would invest 1,155 in Bny Mellon Municipal on October 26, 2024 and sell it today you would earn a total of 88.00 from holding Bny Mellon Municipal or generate 7.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Gabelli Convertible And vs. Bny Mellon Municipal
Performance |
Timeline |
Gabelli Convertible And |
Bny Mellon Municipal |
Gabelli Convertible and Bny Mellon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gabelli Convertible and Bny Mellon
The main advantage of trading using opposite Gabelli Convertible and Bny Mellon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gabelli Convertible position performs unexpectedly, Bny Mellon 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 Bny Mellon will offset losses from the drop in Bny Mellon's long position.Gabelli Convertible vs. Gabelli Global Small | Gabelli Convertible vs. MFS Investment Grade | Gabelli Convertible vs. Eaton Vance National | Gabelli Convertible vs. GAMCO Natural Resources |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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