Correlation Between Mfs Series and Mfs International
Can any of the company-specific risk be diversified away by investing in both Mfs Series and Mfs International 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 International 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 International Large, you can compare the effects of market volatilities on Mfs Series and Mfs International 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 International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mfs Series and Mfs International.
Diversification Opportunities for Mfs Series and Mfs International
1.0 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Mfs and Mfs is 1.0. Overlapping area represents the amount of risk that can be diversified away by holding Mfs Series Trust and Mfs International Large in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs International Large 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 International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs International Large has no effect on the direction of Mfs Series i.e., Mfs Series and Mfs International go up and down completely randomly.
Pair Corralation between Mfs Series and Mfs International
Assuming the 90 days horizon Mfs Series Trust is expected to generate 0.99 times more return on investment than Mfs International. However, Mfs Series Trust is 1.01 times less risky than Mfs International. It trades about 0.06 of its potential returns per unit of risk. Mfs International Large is currently generating about 0.05 per unit of risk. If you would invest 1,135 in Mfs Series Trust on August 24, 2024 and sell it today you would earn a total of 277.00 from holding Mfs Series Trust or generate 24.41% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Mfs Series Trust vs. Mfs International Large
Performance |
| Timeline |
| Mfs Series Trust |
| Mfs International Large |
Mfs Series and Mfs International Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Mfs Series and Mfs International
The main advantage of trading using opposite Mfs Series and Mfs International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mfs Series position performs unexpectedly, Mfs International 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 International will offset losses from the drop in Mfs International's long position.| Mfs Series vs. Qs Growth Fund | Mfs Series vs. Smallcap Growth Fund | Mfs Series vs. T Rowe Price | Mfs Series vs. Praxis Growth Index |
| Mfs International vs. Gmo High Yield | Mfs International vs. Pia High Yield | Mfs International vs. Fidelity Capital Income | Mfs International vs. Pace High Yield |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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