Correlation Between Mfs Research and Oklahoma Municipal
Can any of the company-specific risk be diversified away by investing in both Mfs Research and Oklahoma 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 Mfs Research and Oklahoma Municipal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mfs Research Fund and Oklahoma Municipal Fund, you can compare the effects of market volatilities on Mfs Research and Oklahoma 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 Mfs Research with a short position of Oklahoma Municipal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mfs Research and Oklahoma Municipal.
Diversification Opportunities for Mfs Research and Oklahoma Municipal
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Mfs and Oklahoma is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Mfs Research Fund and Oklahoma Municipal Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oklahoma Municipal and Mfs Research 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 Research Fund are associated (or correlated) with Oklahoma Municipal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oklahoma Municipal has no effect on the direction of Mfs Research i.e., Mfs Research and Oklahoma Municipal go up and down completely randomly.
Pair Corralation between Mfs Research and Oklahoma Municipal
Assuming the 90 days horizon Mfs Research Fund is expected to under-perform the Oklahoma Municipal. In addition to that, Mfs Research is 5.2 times more volatile than Oklahoma Municipal Fund. It trades about -0.15 of its total potential returns per unit of risk. Oklahoma Municipal Fund is currently generating about -0.03 per unit of volatility. If you would invest 1,061 in Oklahoma Municipal Fund on December 1, 2024 and sell it today you would lose (5.00) from holding Oklahoma Municipal Fund or give up 0.47% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Mfs Research Fund vs. Oklahoma Municipal Fund
Performance |
Timeline |
Mfs Research |
Oklahoma Municipal |
Mfs Research and Oklahoma Municipal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mfs Research and Oklahoma Municipal
The main advantage of trading using opposite Mfs Research and Oklahoma Municipal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mfs Research position performs unexpectedly, Oklahoma 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 Oklahoma Municipal will offset losses from the drop in Oklahoma Municipal's long position.Mfs Research vs. United Kingdom Small | Mfs Research vs. Needham Small Cap | Mfs Research vs. Small Pany Growth | Mfs Research vs. Ashmore Emerging Markets |
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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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