Correlation Between MFS Active and Exchange Traded
Can any of the company-specific risk be diversified away by investing in both MFS Active and Exchange Traded 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 Active and Exchange Traded into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MFS Active Core and Exchange Traded Concepts, you can compare the effects of market volatilities on MFS Active and Exchange Traded 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 Active with a short position of Exchange Traded. Check out your portfolio center. Please also check ongoing floating volatility patterns of MFS Active and Exchange Traded.
Diversification Opportunities for MFS Active and Exchange Traded
-0.41 | Correlation Coefficient |
Very good diversification
The 3 months correlation between MFS and Exchange is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding MFS Active Core and Exchange Traded Concepts in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Exchange Traded Concepts and MFS Active 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 Active Core are associated (or correlated) with Exchange Traded. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Exchange Traded Concepts has no effect on the direction of MFS Active i.e., MFS Active and Exchange Traded go up and down completely randomly.
Pair Corralation between MFS Active and Exchange Traded
Given the investment horizon of 90 days MFS Active Core is expected to generate 1.7 times more return on investment than Exchange Traded. However, MFS Active is 1.7 times more volatile than Exchange Traded Concepts. It trades about 0.15 of its potential returns per unit of risk. Exchange Traded Concepts is currently generating about 0.13 per unit of risk. If you would invest 2,439 in MFS Active Core on May 17, 2025 and sell it today you would earn a total of 65.00 from holding MFS Active Core or generate 2.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 62.3% |
Values | Daily Returns |
MFS Active Core vs. Exchange Traded Concepts
Performance |
Timeline |
MFS Active Core |
Exchange Traded Concepts |
MFS Active and Exchange Traded Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MFS Active and Exchange Traded
The main advantage of trading using opposite MFS Active and Exchange Traded positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MFS Active position performs unexpectedly, Exchange Traded 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 Exchange Traded will offset losses from the drop in Exchange Traded's long position.MFS Active vs. Valued Advisers Trust | MFS Active vs. Columbia Diversified Fixed | MFS Active vs. Principal Exchange Traded Funds | MFS Active vs. Doubleline Etf Trust |
Exchange Traded vs. Valued Advisers Trust | Exchange Traded vs. Columbia Diversified Fixed | Exchange Traded vs. Principal Exchange Traded Funds | Exchange Traded vs. MFS Active Core |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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