Correlation Between MFS Municipal and Macquarie/first
Can any of the company-specific risk be diversified away by investing in both MFS Municipal and Macquarie/first 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 Municipal and Macquarie/first into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MFS Municipal Income and Macquariefirst Tr Global, you can compare the effects of market volatilities on MFS Municipal and Macquarie/first 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 Municipal with a short position of Macquarie/first. Check out your portfolio center. Please also check ongoing floating volatility patterns of MFS Municipal and Macquarie/first.
Diversification Opportunities for MFS Municipal and Macquarie/first
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between MFS and Macquarie/first is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding MFS Municipal Income and Macquariefirst Tr Global in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Macquariefirst Tr Global and MFS Municipal 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 Municipal Income are associated (or correlated) with Macquarie/first. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Macquariefirst Tr Global has no effect on the direction of MFS Municipal i.e., MFS Municipal and Macquarie/first go up and down completely randomly.
Pair Corralation between MFS Municipal and Macquarie/first
Considering the 90-day investment horizon MFS Municipal Income is expected to generate 0.9 times more return on investment than Macquarie/first. However, MFS Municipal Income is 1.11 times less risky than Macquarie/first. It trades about 0.03 of its potential returns per unit of risk. Macquariefirst Tr Global is currently generating about 0.02 per unit of risk. If you would invest 468.00 in MFS Municipal Income on March 11, 2024 and sell it today you would earn a total of 58.00 from holding MFS Municipal Income or generate 12.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
MFS Municipal Income vs. Macquariefirst Tr Global
Performance |
Timeline |
MFS Municipal Income |
Macquariefirst Tr Global |
MFS Municipal and Macquarie/first Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MFS Municipal and Macquarie/first
The main advantage of trading using opposite MFS Municipal and Macquarie/first positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MFS Municipal position performs unexpectedly, Macquarie/first 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 Macquarie/first will offset losses from the drop in Macquarie/first's long position.MFS Municipal vs. Doubleline Yield Opportunities | MFS Municipal vs. Blackrock Innovation Growth | MFS Municipal vs. Morningstar Unconstrained Allocation | MFS Municipal vs. Horizon Active Income |
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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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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