Correlation Between Blackrock Muni and MFS Municipal
Can any of the company-specific risk be diversified away by investing in both Blackrock Muni and MFS Municipal 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 Blackrock Muni and MFS Municipal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Blackrock Muni Intermediate and MFS Municipal Income, you can compare the effects of market volatilities on Blackrock Muni and MFS Municipal 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 Blackrock Muni with a short position of MFS Municipal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Blackrock Muni and MFS Municipal.
Diversification Opportunities for Blackrock Muni and MFS Municipal
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Blackrock and MFS is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Blackrock Muni Intermediate and MFS Municipal Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MFS Municipal Income and Blackrock Muni 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 Blackrock Muni Intermediate are associated (or correlated) with MFS Municipal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MFS Municipal Income has no effect on the direction of Blackrock Muni i.e., Blackrock Muni and MFS Municipal go up and down completely randomly.
Pair Corralation between Blackrock Muni and MFS Municipal
Considering the 90-day investment horizon Blackrock Muni Intermediate is expected to generate 0.86 times more return on investment than MFS Municipal. However, Blackrock Muni Intermediate is 1.16 times less risky than MFS Municipal. It trades about 0.1 of its potential returns per unit of risk. MFS Municipal Income is currently generating about 0.08 per unit of risk. If you would invest 1,228 in Blackrock Muni Intermediate on September 3, 2024 and sell it today you would earn a total of 41.00 from holding Blackrock Muni Intermediate or generate 3.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Blackrock Muni Intermediate vs. MFS Municipal Income
Performance |
Timeline |
Blackrock Muni Inter |
MFS Municipal Income |
Blackrock Muni and MFS Municipal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Blackrock Muni and MFS Municipal
The main advantage of trading using opposite Blackrock Muni and MFS Municipal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Blackrock Muni position performs unexpectedly, MFS Municipal 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 Municipal will offset losses from the drop in MFS Municipal's long position.Blackrock Muni vs. Tekla Healthcare Investors | Blackrock Muni vs. Tekla Life Sciences | Blackrock Muni vs. Cohen Steers Reit | Blackrock Muni vs. XAI Octagon Floating |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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