Correlation Between Ultra Short and Mfs Maryland
Can any of the company-specific risk be diversified away by investing in both Ultra Short and Mfs Maryland 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 Ultra Short and Mfs Maryland into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ultra Short Fixed Income and Mfs Maryland Municipal, you can compare the effects of market volatilities on Ultra Short and Mfs Maryland 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 Ultra Short with a short position of Mfs Maryland. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ultra Short and Mfs Maryland.
Diversification Opportunities for Ultra Short and Mfs Maryland
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between Ultra and Mfs is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Ultra Short Fixed Income and Mfs Maryland Municipal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Maryland Municipal and Ultra Short 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 Ultra Short Fixed Income are associated (or correlated) with Mfs Maryland. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Maryland Municipal has no effect on the direction of Ultra Short i.e., Ultra Short and Mfs Maryland go up and down completely randomly.
Pair Corralation between Ultra Short and Mfs Maryland
Assuming the 90 days horizon Ultra Short is expected to generate 7.22 times less return on investment than Mfs Maryland. But when comparing it to its historical volatility, Ultra Short Fixed Income is 7.96 times less risky than Mfs Maryland. It trades about 0.22 of its potential returns per unit of risk. Mfs Maryland Municipal is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 1,006 in Mfs Maryland Municipal on September 14, 2024 and sell it today you would earn a total of 7.00 from holding Mfs Maryland Municipal or generate 0.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ultra Short Fixed Income vs. Mfs Maryland Municipal
Performance |
Timeline |
Ultra Short Fixed |
Mfs Maryland Municipal |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Ultra Short and Mfs Maryland Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ultra Short and Mfs Maryland
The main advantage of trading using opposite Ultra Short and Mfs Maryland positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ultra Short position performs unexpectedly, Mfs Maryland 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 Maryland will offset losses from the drop in Mfs Maryland's long position.Ultra Short vs. Pace High Yield | Ultra Short vs. Franklin High Yield | Ultra Short vs. Versatile Bond Portfolio | Ultra Short vs. Morningstar Defensive Bond |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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