Correlation Between Dreyfus Global and Massmutual Select
Can any of the company-specific risk be diversified away by investing in both Dreyfus Global and Massmutual Select 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 Dreyfus Global and Massmutual Select into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dreyfus Global Real and Massmutual Select Diversified, you can compare the effects of market volatilities on Dreyfus Global and Massmutual Select 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 Dreyfus Global with a short position of Massmutual Select. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dreyfus Global and Massmutual Select.
Diversification Opportunities for Dreyfus Global and Massmutual Select
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Dreyfus and MASSMUTUAL is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Dreyfus Global Real and Massmutual Select Diversified in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Massmutual Select and Dreyfus 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 Dreyfus Global Real are associated (or correlated) with Massmutual Select. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Massmutual Select has no effect on the direction of Dreyfus Global i.e., Dreyfus Global and Massmutual Select go up and down completely randomly.
Pair Corralation between Dreyfus Global and Massmutual Select
Assuming the 90 days horizon Dreyfus Global Real is expected to generate 0.61 times more return on investment than Massmutual Select. However, Dreyfus Global Real is 1.63 times less risky than Massmutual Select. It trades about -0.08 of its potential returns per unit of risk. Massmutual Select Diversified is currently generating about -0.09 per unit of risk. If you would invest 1,613 in Dreyfus Global Real on October 7, 2024 and sell it today you would lose (75.00) from holding Dreyfus Global Real or give up 4.65% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dreyfus Global Real vs. Massmutual Select Diversified
Performance |
Timeline |
Dreyfus Global Real |
Massmutual Select |
Dreyfus Global and Massmutual Select Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dreyfus Global and Massmutual Select
The main advantage of trading using opposite Dreyfus Global and Massmutual Select positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dreyfus Global position performs unexpectedly, Massmutual Select 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 Massmutual Select will offset losses from the drop in Massmutual Select's long position.Dreyfus Global vs. Putnam Convertible Incm Gwth | Dreyfus Global vs. Fidelity Sai Convertible | Dreyfus Global vs. Rationalpier 88 Convertible | Dreyfus Global vs. Virtus Convertible |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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