Correlation Between Financial Industries and Mfs Lifetime
Can any of the company-specific risk be diversified away by investing in both Financial Industries 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 Financial Industries and Mfs Lifetime into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Financial Industries Fund and Mfs Lifetime 2030, you can compare the effects of market volatilities on Financial Industries 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 Financial Industries with a short position of Mfs Lifetime. Check out your portfolio center. Please also check ongoing floating volatility patterns of Financial Industries and Mfs Lifetime.
Diversification Opportunities for Financial Industries and Mfs Lifetime
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Financial and Mfs is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Financial Industries Fund and Mfs Lifetime 2030 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Lifetime 2030 and Financial Industries 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 Financial Industries Fund 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 2030 has no effect on the direction of Financial Industries i.e., Financial Industries and Mfs Lifetime go up and down completely randomly.
Pair Corralation between Financial Industries and Mfs Lifetime
Assuming the 90 days horizon Financial Industries is expected to generate 2.32 times less return on investment than Mfs Lifetime. In addition to that, Financial Industries is 2.92 times more volatile than Mfs Lifetime 2030. It trades about 0.03 of its total potential returns per unit of risk. Mfs Lifetime 2030 is currently generating about 0.2 per unit of volatility. If you would invest 1,603 in Mfs Lifetime 2030 on May 17, 2025 and sell it today you would earn a total of 61.00 from holding Mfs Lifetime 2030 or generate 3.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.39% |
Values | Daily Returns |
Financial Industries Fund vs. Mfs Lifetime 2030
Performance |
Timeline |
Financial Industries |
Mfs Lifetime 2030 |
Financial Industries and Mfs Lifetime Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Financial Industries and Mfs Lifetime
The main advantage of trading using opposite Financial Industries and Mfs Lifetime positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Financial Industries 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.Financial Industries vs. 1919 Financial Services | Financial Industries vs. Fidelity Advisor Financial | Financial Industries vs. Angel Oak Financial | Financial Industries vs. Vanguard Financials Index |
Mfs Lifetime vs. Mesirow Financial Small | Mfs Lifetime vs. Transamerica Financial Life | Mfs Lifetime vs. Financial Industries Fund | Mfs Lifetime vs. 1919 Financial Services |
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 Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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