Correlation Between Mfs Series and Mfs Emerging
Can any of the company-specific risk be diversified away by investing in both Mfs Series 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 Series 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 Series Trust and Mfs Emerging Markets, you can compare the effects of market volatilities on Mfs Series 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 Series with a short position of Mfs Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mfs Series and Mfs Emerging.
Diversification Opportunities for Mfs Series and Mfs Emerging
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Mfs and Mfs is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Mfs Series Trust 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 Series 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 Series Trust 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 Series i.e., Mfs Series and Mfs Emerging go up and down completely randomly.
Pair Corralation between Mfs Series and Mfs Emerging
Assuming the 90 days horizon Mfs Series Trust is expected to generate 1.57 times more return on investment than Mfs Emerging. However, Mfs Series is 1.57 times more volatile than Mfs Emerging Markets. It trades about 0.05 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 1,233 in Mfs Series Trust on August 31, 2024 and sell it today you would earn a total of 186.00 from holding Mfs Series Trust or generate 15.09% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Mfs Series Trust vs. Mfs Emerging Markets
Performance |
| Timeline |
| Mfs Series Trust |
| Mfs Emerging Markets |
Mfs Series and Mfs Emerging Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Mfs Series and Mfs Emerging
The main advantage of trading using opposite Mfs Series and Mfs Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mfs Series 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 Series vs. T Rowe Price | Mfs Series vs. Pace Large Growth | Mfs Series vs. T Rowe Price | Mfs Series vs. Goldman Sachs Large |
| 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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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