Correlation Between Mfs Blended and Mfs Emerging
Can any of the company-specific risk be diversified away by investing in both Mfs Blended and Mfs Emerging 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 Emerging 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 Emerging Markets, you can compare the effects of market volatilities on Mfs Blended and Mfs Emerging 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 Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mfs Blended and Mfs Emerging.
Diversification Opportunities for Mfs Blended and Mfs Emerging
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Mfs and Mfs is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding Mfs Blended Research and Mfs Emerging Markets in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Emerging Markets 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 Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Emerging Markets has no effect on the direction of Mfs Blended i.e., Mfs Blended and Mfs Emerging go up and down completely randomly.
Pair Corralation between Mfs Blended and Mfs Emerging
Assuming the 90 days horizon Mfs Blended Research is expected to generate 2.52 times more return on investment than Mfs Emerging. However, Mfs Blended is 2.52 times more volatile than Mfs Emerging Markets. It trades about 0.06 of its potential returns per unit of risk. Mfs Emerging Markets is currently generating about 0.02 per unit of risk. If you would invest 1,346 in Mfs Blended Research on August 31, 2024 and sell it today you would earn a total of 342.00 from holding Mfs Blended Research or generate 25.41% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Mfs Blended Research vs. Mfs Emerging Markets
Performance |
| Timeline |
| Mfs Blended Research |
| Mfs Emerging Markets |
Mfs Blended and Mfs Emerging Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Mfs Blended and Mfs Emerging
The main advantage of trading using opposite Mfs Blended and Mfs Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mfs Blended position performs unexpectedly, Mfs Emerging 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 Emerging will offset losses from the drop in Mfs Emerging's long position.| Mfs Blended vs. Arrow Managed Futures | Mfs Blended vs. T Rowe Price | Mfs Blended vs. Western Asset Municipal | Mfs Blended vs. Aam Select Income |
| Mfs Emerging vs. Volumetric Fund Volumetric | Mfs Emerging vs. Fa 529 Aggressive | Mfs Emerging vs. Western Asset Municipal | Mfs Emerging vs. Arrow Managed Futures |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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