Correlation Between IPath Series and MFS Active
Can any of the company-specific risk be diversified away by investing in both IPath Series and MFS Active 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 IPath Series and MFS Active into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iPath Series B and MFS Active Core, you can compare the effects of market volatilities on IPath Series and MFS Active 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 IPath Series with a short position of MFS Active. Check out your portfolio center. Please also check ongoing floating volatility patterns of IPath Series and MFS Active.
Diversification Opportunities for IPath Series and MFS Active
-0.75 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between IPath and MFS is -0.75. Overlapping area represents the amount of risk that can be diversified away by holding iPath Series B and MFS Active Core in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MFS Active Core and IPath 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 iPath Series B are associated (or correlated) with MFS Active. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MFS Active Core has no effect on the direction of IPath Series i.e., IPath Series and MFS Active go up and down completely randomly.
Pair Corralation between IPath Series and MFS Active
Considering the 90-day investment horizon iPath Series B is expected to under-perform the MFS Active. In addition to that, IPath Series is 11.4 times more volatile than MFS Active Core. It trades about -0.14 of its total potential returns per unit of risk. MFS Active Core is currently generating about 0.15 per unit of volatility. If you would invest 2,435 in MFS Active Core on May 20, 2025 and sell it today you would earn a total of 62.00 from holding MFS Active Core or generate 2.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
iPath Series B vs. MFS Active Core
Performance |
Timeline |
iPath Series B |
MFS Active Core |
IPath Series and MFS Active Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IPath Series and MFS Active
The main advantage of trading using opposite IPath Series and MFS Active positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IPath Series position performs unexpectedly, MFS Active 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 Active will offset losses from the drop in MFS Active's long position.IPath Series vs. ProShares Ultra VIX | IPath Series vs. ProShares Short VIX | IPath Series vs. ProShares UltraPro Short | IPath Series vs. iShares 20 Year |
MFS Active vs. First Trust Exchange Traded | MFS Active vs. Vanguard Intermediate Term Treasury | MFS Active vs. Vanguard Long Term Treasury | MFS Active vs. Vanguard Multi Sector Income |
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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
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