Correlation Between Mfs Lifetime and Mfs Aggressive
Can any of the company-specific risk be diversified away by investing in both Mfs Lifetime and Mfs Aggressive 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 Mfs Lifetime and Mfs Aggressive into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mfs Lifetime 2065 and Mfs Aggressive Growth, you can compare the effects of market volatilities on Mfs Lifetime and Mfs Aggressive 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 Mfs Lifetime with a short position of Mfs Aggressive. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mfs Lifetime and Mfs Aggressive.
Diversification Opportunities for Mfs Lifetime and Mfs Aggressive
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Mfs and Mfs is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding Mfs Lifetime 2065 and Mfs Aggressive Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Aggressive Growth and Mfs Lifetime 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 Mfs Lifetime 2065 are associated (or correlated) with Mfs Aggressive. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Aggressive Growth has no effect on the direction of Mfs Lifetime i.e., Mfs Lifetime and Mfs Aggressive go up and down completely randomly.
Pair Corralation between Mfs Lifetime and Mfs Aggressive
Assuming the 90 days horizon Mfs Lifetime 2065 is expected to generate 1.02 times more return on investment than Mfs Aggressive. However, Mfs Lifetime is 1.02 times more volatile than Mfs Aggressive Growth. It trades about 0.33 of its potential returns per unit of risk. Mfs Aggressive Growth is currently generating about 0.33 per unit of risk. If you would invest 1,030 in Mfs Lifetime 2065 on September 1, 2024 and sell it today you would earn a total of 40.00 from holding Mfs Lifetime 2065 or generate 3.88% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Mfs Lifetime 2065 vs. Mfs Aggressive Growth
Performance |
| Timeline |
| Mfs Lifetime 2065 |
| Mfs Aggressive Growth |
Mfs Lifetime and Mfs Aggressive Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Mfs Lifetime and Mfs Aggressive
The main advantage of trading using opposite Mfs Lifetime and Mfs Aggressive positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mfs Lifetime position performs unexpectedly, Mfs Aggressive 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 Mfs Aggressive will offset losses from the drop in Mfs Aggressive's long position.| Mfs Lifetime vs. Tax Managed Large Cap | Mfs Lifetime vs. Qs Large Cap | Mfs Lifetime vs. Qs Large Cap | Mfs Lifetime vs. Aqr Large Cap |
| Mfs Aggressive vs. Mfs Prudent Investor | Mfs Aggressive vs. Mfs Prudent Investor | Mfs Aggressive vs. Mfs Prudent Investor | Mfs Aggressive vs. Mfs Prudent Investor |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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