Correlation Between Mfs Lifetime and Catalyst/smh Total
Can any of the company-specific risk be diversified away by investing in both Mfs Lifetime and Catalyst/smh Total 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 Catalyst/smh Total into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mfs Lifetime Retirement and Catalystsmh Total Return, you can compare the effects of market volatilities on Mfs Lifetime and Catalyst/smh Total 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 Catalyst/smh Total. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mfs Lifetime and Catalyst/smh Total.
Diversification Opportunities for Mfs Lifetime and Catalyst/smh Total
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Mfs and Catalyst/smh is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Mfs Lifetime Retirement and Catalystsmh Total Return in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Catalystsmh Total Return 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 Retirement are associated (or correlated) with Catalyst/smh Total. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Catalystsmh Total Return has no effect on the direction of Mfs Lifetime i.e., Mfs Lifetime and Catalyst/smh Total go up and down completely randomly.
Pair Corralation between Mfs Lifetime and Catalyst/smh Total
Assuming the 90 days horizon Mfs Lifetime is expected to generate 3.51 times less return on investment than Catalyst/smh Total. But when comparing it to its historical volatility, Mfs Lifetime Retirement is 3.02 times less risky than Catalyst/smh Total. It trades about 0.27 of its potential returns per unit of risk. Catalystsmh Total Return is currently generating about 0.31 of returns per unit of risk over similar time horizon. If you would invest 430.00 in Catalystsmh Total Return on May 21, 2025 and sell it today you would earn a total of 56.00 from holding Catalystsmh Total Return or generate 13.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.39% |
Values | Daily Returns |
Mfs Lifetime Retirement vs. Catalystsmh Total Return
Performance |
Timeline |
Mfs Lifetime Retirement |
Catalystsmh Total Return |
Mfs Lifetime and Catalyst/smh Total Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mfs Lifetime and Catalyst/smh Total
The main advantage of trading using opposite Mfs Lifetime and Catalyst/smh Total positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mfs Lifetime position performs unexpectedly, Catalyst/smh Total 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 Catalyst/smh Total will offset losses from the drop in Catalyst/smh Total's long position.Mfs Lifetime vs. Dws Equity Sector | Mfs Lifetime vs. Nationwide Global Equity | Mfs Lifetime vs. Old Westbury Fixed | Mfs Lifetime vs. Smallcap World Fund |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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