Correlation Between Dana Large and Massmutual Retiresmart
Can any of the company-specific risk be diversified away by investing in both Dana Large and Massmutual Retiresmart 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 Dana Large and Massmutual Retiresmart into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dana Large Cap and Massmutual Retiresmart 2025, you can compare the effects of market volatilities on Dana Large and Massmutual Retiresmart 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 Dana Large with a short position of Massmutual Retiresmart. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dana Large and Massmutual Retiresmart.
Diversification Opportunities for Dana Large and Massmutual Retiresmart
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dana and Massmutual is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Dana Large Cap and Massmutual Retiresmart 2025 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Massmutual Retiresmart and Dana Large 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 Dana Large Cap are associated (or correlated) with Massmutual Retiresmart. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Massmutual Retiresmart has no effect on the direction of Dana Large i.e., Dana Large and Massmutual Retiresmart go up and down completely randomly.
Pair Corralation between Dana Large and Massmutual Retiresmart
Assuming the 90 days horizon Dana Large Cap is expected to under-perform the Massmutual Retiresmart. In addition to that, Dana Large is 9.77 times more volatile than Massmutual Retiresmart 2025. It trades about -0.14 of its total potential returns per unit of risk. Massmutual Retiresmart 2025 is currently generating about 0.03 per unit of volatility. If you would invest 1,074 in Massmutual Retiresmart 2025 on December 22, 2024 and sell it today you would earn a total of 5.00 from holding Massmutual Retiresmart 2025 or generate 0.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Dana Large Cap vs. Massmutual Retiresmart 2025
Performance |
Timeline |
Dana Large Cap |
Massmutual Retiresmart |
Dana Large and Massmutual Retiresmart Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dana Large and Massmutual Retiresmart
The main advantage of trading using opposite Dana Large and Massmutual Retiresmart positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dana Large position performs unexpectedly, Massmutual Retiresmart 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 Retiresmart will offset losses from the drop in Massmutual Retiresmart's long position.Dana Large vs. Barings Active Short | Dana Large vs. Scharf Balanced Opportunity | Dana Large vs. Kirr Marbach Partners | Dana Large vs. Artisan Mid Cap |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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