Correlation Between Mfs Blended and Mfs Commodity
Can any of the company-specific risk be diversified away by investing in both Mfs Blended and Mfs Commodity 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 Blended and Mfs Commodity into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mfs Blended Research and Mfs Modity Strategy, you can compare the effects of market volatilities on Mfs Blended and Mfs Commodity 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 Blended with a short position of Mfs Commodity. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mfs Blended and Mfs Commodity.
Diversification Opportunities for Mfs Blended and Mfs Commodity
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Mfs and Mfs is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Mfs Blended Research and Mfs Modity Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Modity Strategy and Mfs Blended 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 Blended Research are associated (or correlated) with Mfs Commodity. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Modity Strategy has no effect on the direction of Mfs Blended i.e., Mfs Blended and Mfs Commodity go up and down completely randomly.
Pair Corralation between Mfs Blended and Mfs Commodity
Assuming the 90 days horizon Mfs Blended Research is expected to generate 1.05 times more return on investment than Mfs Commodity. However, Mfs Blended is 1.05 times more volatile than Mfs Modity Strategy. It trades about 0.22 of its potential returns per unit of risk. Mfs Modity Strategy is currently generating about 0.03 per unit of risk. If you would invest 1,486 in Mfs Blended Research on May 22, 2025 and sell it today you would earn a total of 154.00 from holding Mfs Blended Research or generate 10.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Mfs Blended Research vs. Mfs Modity Strategy
Performance |
Timeline |
Mfs Blended Research |
Mfs Modity Strategy |
Mfs Blended and Mfs Commodity Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mfs Blended and Mfs Commodity
The main advantage of trading using opposite Mfs Blended and Mfs Commodity positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mfs Blended position performs unexpectedly, Mfs Commodity 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 Commodity will offset losses from the drop in Mfs Commodity's long position.Mfs Blended vs. Science Technology Fund | Mfs Blended vs. Columbia Global Technology | Mfs Blended vs. Pgim Jennison Technology | Mfs Blended vs. Putnam Global Technology |
Mfs Commodity vs. Queens Road Small | Mfs Commodity vs. Omni Small Cap Value | Mfs Commodity vs. Mutual Of America | Mfs Commodity vs. Fpa Queens Road |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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