Correlation Between Commodities Strategy and Mfs Variable
Can any of the company-specific risk be diversified away by investing in both Commodities Strategy and Mfs Variable 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 Commodities Strategy and Mfs Variable into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Commodities Strategy Fund and Mfs Variable Insurance, you can compare the effects of market volatilities on Commodities Strategy and Mfs Variable 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 Commodities Strategy with a short position of Mfs Variable. Check out your portfolio center. Please also check ongoing floating volatility patterns of Commodities Strategy and Mfs Variable.
Diversification Opportunities for Commodities Strategy and Mfs Variable
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Commodities and Mfs is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Commodities Strategy Fund and Mfs Variable Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Variable Insurance and Commodities Strategy 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 Commodities Strategy Fund are associated (or correlated) with Mfs Variable. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Variable Insurance has no effect on the direction of Commodities Strategy i.e., Commodities Strategy and Mfs Variable go up and down completely randomly.
Pair Corralation between Commodities Strategy and Mfs Variable
Assuming the 90 days horizon Commodities Strategy Fund is expected to generate 1.13 times more return on investment than Mfs Variable. However, Commodities Strategy is 1.13 times more volatile than Mfs Variable Insurance. It trades about 0.05 of its potential returns per unit of risk. Mfs Variable Insurance is currently generating about -0.13 per unit of risk. If you would invest 2,861 in Commodities Strategy Fund on September 18, 2024 and sell it today you would earn a total of 90.00 from holding Commodities Strategy Fund or generate 3.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Commodities Strategy Fund vs. Mfs Variable Insurance
Performance |
Timeline |
Commodities Strategy |
Mfs Variable Insurance |
Commodities Strategy and Mfs Variable Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Commodities Strategy and Mfs Variable
The main advantage of trading using opposite Commodities Strategy and Mfs Variable positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Commodities Strategy position performs unexpectedly, Mfs Variable 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 Variable will offset losses from the drop in Mfs Variable's long position.Commodities Strategy vs. Basic Materials Fund | Commodities Strategy vs. Energy Services Fund | Commodities Strategy vs. Real Estate Fund | Commodities Strategy vs. Precious Metals 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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