Correlation Between Mfs Blended and Federated Ultrashort
Can any of the company-specific risk be diversified away by investing in both Mfs Blended and Federated Ultrashort 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 Blended and Federated Ultrashort into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mfs Blended Research and Federated Ultrashort Bond, you can compare the effects of market volatilities on Mfs Blended and Federated Ultrashort 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 Blended with a short position of Federated Ultrashort. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mfs Blended and Federated Ultrashort.
Diversification Opportunities for Mfs Blended and Federated Ultrashort
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Mfs and Federated is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Mfs Blended Research and Federated Ultrashort Bond in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Ultrashort Bond and Mfs Blended 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 Blended Research are associated (or correlated) with Federated Ultrashort. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Ultrashort Bond has no effect on the direction of Mfs Blended i.e., Mfs Blended and Federated Ultrashort go up and down completely randomly.
Pair Corralation between Mfs Blended and Federated Ultrashort
Assuming the 90 days horizon Mfs Blended Research is expected to generate 18.04 times more return on investment than Federated Ultrashort. However, Mfs Blended is 18.04 times more volatile than Federated Ultrashort Bond. It trades about 0.17 of its potential returns per unit of risk. Federated Ultrashort Bond is currently generating about -0.13 per unit of risk. If you would invest 1,472 in Mfs Blended Research on April 29, 2025 and sell it today you would earn a total of 39.00 from holding Mfs Blended Research or generate 2.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Mfs Blended Research vs. Federated Ultrashort Bond
Performance |
Timeline |
Mfs Blended Research |
Federated Ultrashort Bond |
Mfs Blended and Federated Ultrashort Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mfs Blended and Federated Ultrashort
The main advantage of trading using opposite Mfs Blended and Federated Ultrashort positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mfs Blended position performs unexpectedly, Federated Ultrashort 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 Federated Ultrashort will offset losses from the drop in Federated Ultrashort's long position.Mfs Blended vs. Versatile Bond Portfolio | Mfs Blended vs. Old Westbury California | Mfs Blended vs. Bbh Intermediate Municipal | Mfs Blended vs. Touchstone Premium Yield |
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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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