Correlation Between MFS High and MFS Multimarket
Can any of the company-specific risk be diversified away by investing in both MFS High and MFS Multimarket 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 High and MFS Multimarket into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MFS High Yield and MFS Multimarket Income, you can compare the effects of market volatilities on MFS High and MFS Multimarket 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 High with a short position of MFS Multimarket. Check out your portfolio center. Please also check ongoing floating volatility patterns of MFS High and MFS Multimarket.
Diversification Opportunities for MFS High and MFS Multimarket
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between MFS and MFS is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding MFS High Yield and MFS Multimarket Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MFS Multimarket Income and MFS High 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 High Yield are associated (or correlated) with MFS Multimarket. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MFS Multimarket Income has no effect on the direction of MFS High i.e., MFS High and MFS Multimarket go up and down completely randomly.
Pair Corralation between MFS High and MFS Multimarket
Considering the 90-day investment horizon MFS High Yield is expected to under-perform the MFS Multimarket. In addition to that, MFS High is 1.33 times more volatile than MFS Multimarket Income. It trades about -0.05 of its total potential returns per unit of risk. MFS Multimarket Income is currently generating about 0.16 per unit of volatility. If you would invest 445.00 in MFS Multimarket Income on April 26, 2025 and sell it today you would earn a total of 16.00 from holding MFS Multimarket Income or generate 3.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
MFS High Yield vs. MFS Multimarket Income
Performance |
Timeline |
MFS High Yield |
MFS Multimarket Income |
MFS High and MFS Multimarket Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MFS High and MFS Multimarket
The main advantage of trading using opposite MFS High and MFS Multimarket positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MFS High position performs unexpectedly, MFS Multimarket 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 Multimarket will offset losses from the drop in MFS Multimarket's long position.MFS High vs. MFS High Income | MFS High vs. MFS Investment Grade | MFS High vs. Eaton Vance National | MFS High vs. MFS Municipal Income |
MFS Multimarket vs. MFS Intermediate Income | MFS Multimarket vs. MFS Charter Income | MFS Multimarket vs. MFS High Income | MFS Multimarket vs. MFS 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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