Correlation Between Pimco Dynamic and MFS Active
Can any of the company-specific risk be diversified away by investing in both Pimco Dynamic 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 Pimco Dynamic and MFS Active into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pimco Dynamic Income and MFS Active Core, you can compare the effects of market volatilities on Pimco Dynamic 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 Pimco Dynamic with a short position of MFS Active. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pimco Dynamic and MFS Active.
Diversification Opportunities for Pimco Dynamic and MFS Active
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Pimco and MFS is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Pimco Dynamic Income 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 Pimco Dynamic 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 Pimco Dynamic Income 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 Pimco Dynamic i.e., Pimco Dynamic and MFS Active go up and down completely randomly.
Pair Corralation between Pimco Dynamic and MFS Active
Considering the 90-day investment horizon Pimco Dynamic Income is expected to generate 1.4 times more return on investment than MFS Active. However, Pimco Dynamic is 1.4 times more volatile than MFS Active Core. It trades about 0.19 of its potential returns per unit of risk. MFS Active Core is currently generating about 0.16 per unit of risk. If you would invest 1,846 in Pimco Dynamic Income on May 13, 2025 and sell it today you would earn a total of 86.00 from holding Pimco Dynamic Income or generate 4.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Pimco Dynamic Income vs. MFS Active Core
Performance |
Timeline |
Pimco Dynamic Income |
MFS Active Core |
Pimco Dynamic and MFS Active Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pimco Dynamic and MFS Active
The main advantage of trading using opposite Pimco Dynamic and MFS Active positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pimco Dynamic 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.Pimco Dynamic vs. Pimco Corporate Income | Pimco Dynamic vs. Guggenheim Strategic Opportunities | Pimco Dynamic vs. Pimco Dynamic Income | Pimco Dynamic vs. Pimco High Income |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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