Correlation Between Inflation Linked and Mfs Lifetime
Can any of the company-specific risk be diversified away by investing in both Inflation Linked and Mfs Lifetime 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 Inflation Linked and Mfs Lifetime into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Inflation Linked Fixed Income and Mfs Lifetime 2060, you can compare the effects of market volatilities on Inflation Linked and Mfs Lifetime 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 Inflation Linked with a short position of Mfs Lifetime. Check out your portfolio center. Please also check ongoing floating volatility patterns of Inflation Linked and Mfs Lifetime.
Diversification Opportunities for Inflation Linked and Mfs Lifetime
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Inflation and Mfs is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Inflation Linked Fixed Income and Mfs Lifetime 2060 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Lifetime 2060 and Inflation Linked 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 Inflation Linked Fixed Income are associated (or correlated) with Mfs Lifetime. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Lifetime 2060 has no effect on the direction of Inflation Linked i.e., Inflation Linked and Mfs Lifetime go up and down completely randomly.
Pair Corralation between Inflation Linked and Mfs Lifetime
Assuming the 90 days horizon Inflation Linked is expected to generate 2.34 times less return on investment than Mfs Lifetime. But when comparing it to its historical volatility, Inflation Linked Fixed Income is 2.07 times less risky than Mfs Lifetime. It trades about 0.14 of its potential returns per unit of risk. Mfs Lifetime 2060 is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 1,698 in Mfs Lifetime 2060 on May 20, 2025 and sell it today you would earn a total of 93.00 from holding Mfs Lifetime 2060 or generate 5.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Inflation Linked Fixed Income vs. Mfs Lifetime 2060
Performance |
Timeline |
Inflation Linked Fixed |
Mfs Lifetime 2060 |
Inflation Linked and Mfs Lifetime Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Inflation Linked and Mfs Lifetime
The main advantage of trading using opposite Inflation Linked and Mfs Lifetime positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Inflation Linked position performs unexpectedly, Mfs Lifetime 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 Lifetime will offset losses from the drop in Mfs Lifetime's long position.Inflation Linked vs. Ab Equity Income | Inflation Linked vs. Touchstone International Equity | Inflation Linked vs. Pace International Equity | Inflation Linked vs. Us Vector Equity |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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