Correlation Between Federated Ultrashort and Mfs Blended
Can any of the company-specific risk be diversified away by investing in both Federated Ultrashort and Mfs Blended 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 Federated Ultrashort and Mfs Blended into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Ultrashort Bond and Mfs Blended Research, you can compare the effects of market volatilities on Federated Ultrashort and Mfs Blended 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 Federated Ultrashort with a short position of Mfs Blended. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Ultrashort and Mfs Blended.
Diversification Opportunities for Federated Ultrashort and Mfs Blended
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between FEDERATED and Mfs is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Federated Ultrashort Bond and Mfs Blended Research in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Blended Research and Federated Ultrashort 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 Federated Ultrashort Bond are associated (or correlated) with Mfs Blended. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Blended Research has no effect on the direction of Federated Ultrashort i.e., Federated Ultrashort and Mfs Blended go up and down completely randomly.
Pair Corralation between Federated Ultrashort and Mfs Blended
Assuming the 90 days horizon Federated Ultrashort is expected to generate 11.35 times less return on investment than Mfs Blended. But when comparing it to its historical volatility, Federated Ultrashort Bond is 7.81 times less risky than Mfs Blended. It trades about 0.13 of its potential returns per unit of risk. Mfs Blended Research is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 3,707 in Mfs Blended Research on August 31, 2024 and sell it today you would earn a total of 328.00 from holding Mfs Blended Research or generate 8.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Federated Ultrashort Bond vs. Mfs Blended Research
Performance |
Timeline |
Federated Ultrashort Bond |
Mfs Blended Research |
Federated Ultrashort and Mfs Blended Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated Ultrashort and Mfs Blended
The main advantage of trading using opposite Federated Ultrashort and Mfs Blended positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Ultrashort position performs unexpectedly, Mfs Blended 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 Blended will offset losses from the drop in Mfs Blended's long position.Federated Ultrashort vs. Virtus Global Real | Federated Ultrashort vs. Allianzgi Mid Cap Fund | Federated Ultrashort vs. Virtus Select Mlp | Federated Ultrashort vs. Aquagold International |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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