Correlation Between Midcap Fund and Mfs Growth
Can any of the company-specific risk be diversified away by investing in both Midcap Fund and Mfs Growth 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 Midcap Fund and Mfs Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Midcap Fund Class and Mfs Growth Fund, you can compare the effects of market volatilities on Midcap Fund and Mfs Growth 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 Midcap Fund with a short position of Mfs Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Midcap Fund and Mfs Growth.
Diversification Opportunities for Midcap Fund and Mfs Growth
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Midcap and Mfs is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Midcap Fund Class and Mfs Growth Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Growth Fund and Midcap Fund 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 Midcap Fund Class are associated (or correlated) with Mfs Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Growth Fund has no effect on the direction of Midcap Fund i.e., Midcap Fund and Mfs Growth go up and down completely randomly.
Pair Corralation between Midcap Fund and Mfs Growth
Assuming the 90 days horizon Midcap Fund Class is expected to under-perform the Mfs Growth. But the mutual fund apears to be less risky and, when comparing its historical volatility, Midcap Fund Class is 1.13 times less risky than Mfs Growth. The mutual fund trades about -0.19 of its potential returns per unit of risk. The Mfs Growth Fund is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 22,237 in Mfs Growth Fund on August 7, 2025 and sell it today you would earn a total of 604.00 from holding Mfs Growth Fund or generate 2.72% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Midcap Fund Class vs. Mfs Growth Fund
Performance |
| Timeline |
| Midcap Fund Class |
| Mfs Growth Fund |
Midcap Fund and Mfs Growth Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Midcap Fund and Mfs Growth
The main advantage of trading using opposite Midcap Fund and Mfs Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Midcap Fund position performs unexpectedly, Mfs Growth 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 Growth will offset losses from the drop in Mfs Growth's long position.| Midcap Fund vs. Schwab Total Stock | Midcap Fund vs. Emerging Markets E | Midcap Fund vs. Franklin Dynatech Fund | Midcap Fund vs. T Rowe Price |
| Mfs Growth vs. Mfs Growth Fund | Mfs Growth vs. Midcap Fund Class | Mfs Growth vs. Franklin Dynatech Fund | Mfs Growth vs. Emerging Markets E |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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